Abstract
(1) Background: Periodic resurgences in COVID-19 due to more contagious variants highlight the need to increase coverage of booster doses. (2) Methods: Our September 2022 nationally representative survey of US adults measured COVID-19 vaccination status, intentions, attitudes, values, and confidence in information sources. (3) Findings: Although 85% of the weighted sample reported receiving at least one dose of a COVID-19 vaccine, only 63% reported being up-to-date on COVID-19 vaccines (e.g., received a booster dose). Only 12% of those not yet up-to-date indicated they were likely to get up-to-date as soon as possible, whereas 42% were unlikely to ever get up-to-date, and 46% were still uncertain. Most of those not up-to-date on their COVID-19 vaccines were under 45 years of age (58%), without a bachelor’s degree (76%), making under $75,000 annually (53%), and Republican or Independent (82%). Prevalent concerns about COVID-19 vaccines among those uncertain about getting up-to-date included: potential side effects that have not been figured out yet (88%), speed of development (77%), newness (75%), ingredients (69%), drug companies making money (67%), allergic reactions (65%), and experimenting on people (63%). (4) Conclusions: Nearly half of adults not yet up-to-date on COVID-19 vaccines were uncertain about doing so, indicating an opportunity to support their decision-making.
Keywords: COVID-19, vaccine, vaccination, vaccine hesitancy
1. Introduction
As of March 2023, four vaccines against Coronavirus Disease 2019 (COVID-19) have been authorized by the United States (US) Food and Drug Administration (FDA): two messenger ribonucleic acid (mRNA) vaccines, Pfizer-BioNTech and Moderna, which were given Emergency Use Authorization (EUA) by the FDA in December 2020 [1,2], the Johnson & Johnson (J&J) viral vector vaccine, which was given EUA in February 2021 [3], but is no longer available in the US, due to safety concerns [4], and the Novavax protein subunit vaccine, which was given EUA in July 2022 [5].
COVID-19 cases and deaths declined initially as vaccine supply caught up to demand in the spring of 2021 [6]. However, cases and deaths have periodically surged since then, largely due to the proliferation of the more contagious variants, such as Delta and Omicron [7]. Though vaccines remained effective in protecting against severe disease and death from new variants, their effectiveness was lower as compared to the original strain and waned over time [8,9,10]. Booster doses first received EUA in September 2021 to counteract waning immunity [11], and updated bivalent booster doses received EUA in August 2022 to increase protection against currently circulating strains [12].
The ongoing evolution of both the SARS-CoV-2 virus and our scientific knowledge has necessitated many updates to public health recommendations throughout the pandemic. This has led to public confusion and pandemic fatigue [13,14]. Vaccines have also unfortunately become a polarizing political issue during the pandemic [13]. This threatens public confidence in not only COVID-19 vaccines, but routine vaccines as well. Vaccine hesitancy is complex and influenced by a broad range of factors, such as the compulsory nature of vaccine mandates, coincidental temporal relationships to adverse health events, and lack of trust in government and the pharmaceutical industry [15]. Predictors of hesitancy to receive routine vaccines prior to the pandemic included socioeconomic factors, such as gender, education, income, region of residence, and race/ethnicity [16,17,18], as well as attitudinal constructs, such as confidence in vaccine efficacy and safety, perceived risk of vaccine-preventable diseases, and trust in sources of vaccine information [16]. Regular collection and consideration of representative public survey data is necessary to understand changes and trends in vaccine confidence and concerns.
We initially conducted a nationally representative survey in December 2020 (immediately prior to the first EUA) to measure COVID-19 vaccine intentions, attitudes, and values among US adults [19]. We found that half of US adults intended to likely receive the vaccine once available, while 40% were uncertain and 10% were unlikely to ever vaccinate. Intent to vaccinate (unadjusted) was lower among women, Black Americans, young adults, Republicans, those with lower income, those with larger households, those living in a non-metro area, and those without a bachelor’s degree. Trust in public health authorities was strongly associated with intending to vaccinate against COVID-19.
We conducted additional nationally representative surveys in July [20] and September [21] of 2021 to capture snapshots of COVID-19 vaccine attitudes, values, and intentions at different stages in the pandemic. About three-quarters of US adults reported having received at least one dose of COVID-19 vaccination at this time (74% in July and 77% in September). Of those still unvaccinated as of September 2021, 6% intended to vaccinate, 40% were unlikely to ever vaccinate, and 55% remained uncertain.
Herein, we describe the findings from a fourth nationally representative survey. This survey was conducted in September 2022, which was a year since the last such survey, a year since booster doses were first authorized [11], and immediately following authorization of the updated bivalent boosters [12]. Our main focus was on those not “up-to-date” on their COVID-19 vaccines (e.g., those not yet receiving a booster dose).
2. Materials and Methods
2.1. Survey Platform
This nationally representative cross-sectional survey was conducted in English and Spanish between 1–12 September 2022, from a new set of respondents randomly identified from the Ipsos KnowledgePanel [22], a probability-based web panel sampling adults (18+ years of age) from all US households that was also used for previous surveys [19,20,21]. To improve the sample’s representativeness of the US population, households without internet access were given internet access and tablet computers. Hispanic Americans were supplementally recruited through random digit dialing in area codes with concentrated Hispanic populations. Enrollment quotas ensured that the sample’s sociodemographic distribution approximated the US, with 50% oversampling of Black and Hispanic respondents. Data from this survey were compared to data from a previous nationally representative survey, which was conducted in July 2021 using the same methodology as described above [20].
This work was considered public health surveillance and, thus, not human subject research by the Institutional Review Board at the Johns Hopkins Bloomberg School of Public Health.
2.2. Survey Content
The primary outcomes of this survey were self-reported receipt of COVID-19 vaccines (including boosters) and intentions among those not yet up-to-date. Respondents began the survey by identifying themselves as either (1) up-to-date (i.e., fully vaccinated and boosted), (2) vaccinated, but not up-to-date (e.g., have not gotten booster yet), (3) not having received any COVID-19 vaccines, or (4) prefer not to say (which was treated as missing data for this survey item). Respondents who did not report already being up-to-date then elucidated their intentions to get up-to-date as either (1) definitely soon, (2) probably soon, (3) probably eventually but not right away, (4) only if required, (5) probably not, or (6) definitely not.
This survey measured attitudes about COVID-19 vaccines and disease specific to both adults and children, such as perceived disease susceptibility/severity and the importance of vaccines to control the pandemic. Among those not yet up-to-date and not definitely intending to get up-to-date soon, vaccine concerns and other reasons for not vaccinating were selected. Self-reported influenza vaccination coverage, confidence in sources of information about COVID-19, and cumulative prevalence of COVID-19 disease (e.g., ever having COVID-19) were captured. Trust in the CDC was measured as a construct via a 14-question scale [23]. Sociodemographic characteristics including gender, race/ethnicity, age, education, income, political affiliation, region, and metropolitan statistical area (MSA) were available for all Ipsos KnowledgePanel members. Many of the other items measured in this survey were also measured in the July 2021 survey [20] to allow for comparison over time. Choices in survey content were influenced by the Health Belief Model (e.g., inclusion of perceived susceptibility and severity to disease as well as perceived benefits of vaccinating) [24] and the Social Ecological Model (e.g., inclusion of social norms) [25].
2.3. Data Analyses
Our main analysis characterized those not yet up-to-date with COVID-19 vaccines, including their attitudes and values, trust in public health authorities, intentions to become up-to-date, and reasons for not yet doing so. We elucidated factors associated with being and intending to get up-to-date with COVID-19 vaccines. We also examined differences by race/ethnicity and looked for changes over time. Data were analyzed using Stata, version 16 [26].
A raking procedure was used to adjust design weights so that the sample was weighted to the population of adults at least 18 years old in the US. Black and Hispanic respondents were oversampled and down-weighted to reflect their proportion in the population. Further details on weighting are published elsewhere [19].
For the construct scale measuring trust in the CDC, a composite, linear score was generated (Supplemental Table S1). All answered items within the scale were coded (e.g., strongly disagree = 0, disagree = 1, agree = 2, strongly agree = 3, with negative items reversed) and summed to create the numerator, with the denominator being the total possible score (accounting for missing data). Thus, the scale ranged from 0 to 100 (0 being the least trust possible and 100 being the most trust possible) to facilitate comparisons across scales. Cronbach’s alpha coefficients for this scale were estimated to be 0.93, indicating strong reliability. The score was then dichotomized at the middle (50), creating “high trust” and “low trust” groups.
Univariate analyses (unweighted and weighted) were conducted for sociodemographic characteristics and vaccination/disease status. Otherwise, only weighted analyses were performed. Sociodemographic variables were cross-tabulated against being up-to-date on COVID-19 vaccines and intention to become up-to-date (among those not yet up-to-date) and stratified by sociodemographic characteristics of interest, such as race/ethnicity. Intention to vaccinate was reclassified as (1) definitely soon or probably soon (Likely), (2) probably eventually, only if required, or probably not (Uncertain), and (3) definitely not (Unlikely). Likert scale response options (strongly agree, agree, disagree, strongly disagree) were dichotomized to agree vs. disagree to facilitate straightforward analyses and interpretation. Other scale response options (e.g., very worried, somewhat worried, not very worried, not at all worried) were similarly dichotomized to reflect affirmative vs. negative (e.g., worried vs. not worried). Weighted proportions for responses to items assessed among the entire sample in multiple surveys were compared to assess changes over time.
For all weighted proportions, standard errors were estimated by Taylor-linearized variance estimation. For all cross-tabulations and comparisons over time, p-values were estimated by Pearson chi-squared proportion tests (significance level of α = 0.05). Bivariate odds ratios were estimated by generalized logistic binomial regression and a logit link function with binary dependent variables for being up-to-date on COVID-19 vaccines and intention to become up-to-date (among those not yet up-to-date), and binary independent variables for affirmative responses to dichotomized survey items (or dummy indicator variables for categorical survey items). All reported odds ratios are unadjusted.
3. Results
3.1. Study Population and Survey Weighting
The survey was fielded among 5323 Ipsos KnowledgePanel members and returned 2787 completed responses, of which 2561 qualified for the study (based on eligibility criteria and survey quotas) (Supplemental Figure S1). Sociodemographic characteristics and vaccination status of the study population (unweighted and weighted) are presented in Table 1. Weighting had a limited impact other than by race/ethnicity (with oversampling of Black and Hispanic populations), since the Ipsos KnowledgePanel was designed to represent the US adult population. Weighted data are generalizable to US adults.
Table 1.
Sociodemographic characteristics and vaccination status of the September 2022 survey sample: unweighted and weighted.
| Sociodemographic Characteristics | Unweighted N (%) | Weighted % a | Sociodemographic Characteristics | Unweighted N (%) | Weighted % a |
|---|---|---|---|---|---|
| All | 2561 (100) | Household Annual Income | |||
| Gender | <$50 k | 847 (33.1) | 29.9 | ||
| Female | 1274 (49.7) | 51.4 | $50–75 k | 452 (17.6) | 16.4 |
| Male | 1287 (50.3) | 48.6 | $75–100 k | 346 (13.5) | 13.1 |
| Age (years) | $100–150 k | 413 (16.1) | 17.8 | ||
| 18–29 | 308 (12) | 19.9 | $150 k+ | 503 (19.6) | 22.8 |
| 30–44 | 679 (26.5) | 25.7 | Political Affiliation | ||
| 45–59 | 669 (26.1) | 23.9 | Republican | 517 (20.2) | 25.3 |
| ≥60 | 905 (35.3) | 30.5 | Democrat | 998 (39.1) | 32.8 |
| Education | Independent/other | 1039 (40.7) | 41.9 | ||
| <High School | 223 (8.7) | 9.6 | Metropolitan Statistical Area Status | ||
| High School | 589 (23) | 28.1 | Non-metro | 276 (10.8) | 13.4 |
| Some College | 757 (29.6) | 27.1 | Metro | 2285 (89.2) | 86.6 |
| Bachelor’s or Higher | 576 (22.5) | 19.6 | Parent Status | ||
| Master’s or Higher | 416 (16.2) | 15.5 | No children < 18 | 1794 (70.1) | 71.4 |
| Race/Ethnicity | At least one child < 18 | 767 (29.9) | 28.6 | ||
| White, non-Hispanic | 997 (38.9) | 62.8 | Influenza Vaccination b | ||
| Black, non-Hispanic | 609 (23.8) | 12.0 | Not vaccinated | 1144 (45.2) | 46.1 |
| Hispanic | 838 (32.7) | 16.9 | Vaccinated | 1386 (54.8) | 53.9 |
| Other, non-Hispanic | 117 (4.6) | 8.3 | COVID-19 Vaccination | ||
| Region | Not vaccinated | 329 (13.3) | 15.5 | ||
| Northeast | 415 (16.2) | 17.3 | Vaccinated (>1 dose) | 2140 (86.7) | 84.5 |
| Midwest | 455 (17.8) | 20.7 | COVID-19 Disease | ||
| South | 1036 (40.5) | 38.2 | Never had | 1432 (56.7) | 55.9 |
| West | 655 (25.6) | 23.8 | Ever had | 1093 (43.3) | 44.1 |
a Weights were produced using iterative proportional fitting, so respondents were weighted to represent US adults; Black and Hispanic respondents were weighted to adjust for oversampling which was carried out to allow for sufficient power to perform analyses stratified by race/ethnicity. b Respondents reported influenza vaccination within the past 12 months; these data were collected just prior to the 2022–2023 influenza season, so reflect the 2021–2022 influenza season.
3.2. Vaccination Status
Although 85% of the weighted sample reported receiving at least one dose of a COVID-19 vaccine, less than two-thirds (63%) reported being up-to-date on their COVID-19 vaccines (Table 2).
Table 2.
Frequency and odds of being up-to-date on COVID-19 vaccinations by vaccine attitudes, trust in the CDC, and sociodemographic characteristics.
| Survey Items | Total (%) a |
COVID Vaccines, % b | Odds Ratio (95%CI) c |
p-Value d | |
|---|---|---|---|---|---|
| Not Up-to-Date | Up-to-Date | ||||
| All | 100 | 37 | 63 | ||
| Constructs e | |||||
| Trust in the Centers for Disease Control and Prevention (CDC) | 68 | 44 | 84 | 6.56 (5.18–8.32) |
<0.01 |
| Sociodemographic Characteristics | |||||
| Gender | 0.78 | ||||
| Female | 51 | 52 | 51 | ref k | |
| Male | 49 | 48 | 49 | 1.03 (0.84–1.27) |
|
| Age (years) | <0.01 | ||||
| 18–29 | 20 | 28 | 15 | ref k | |
| 30–44 | 26 | 30 | 23 | 1.40 (1.01–1.93) |
|
| 45–59 | 24 | 22 | 26 | 2.16 (1.54–3.02) |
|
| 60+ | 31 | 20 | 37 | 3.35 (2.41–4.66) |
|
| Education (attained) | <0.01 | ||||
| <High school | 10 | 13 | 7 | ref k | |
| High school | 28 | 34 | 23 | 1.23 (0.83–1.81) |
|
| Some college | 27 | 29 | 26 | 1.60 (1.10–2.35) |
|
| Bachelor’s or higher | 20 | 16 | 22 | 2.46 (1.65–3.68) |
|
| Master’s or higher | 16 | 7 | 21 | 5.02 (3.20–7.88) |
|
| Race/Ethnicity | 0.02 | ||||
| White, non-Hispanic | 63 | 66 | 61 | ref k | |
| Black, non-Hispanic | 12 | 12 | 12 | 1.06 (0.82–1.36) |
|
| Hispanic | 17 | 17 | 17 | 1.11 (0.88–1.39) |
|
| Other, non-Hispanic | 8 | 6 | 10 | 1.89 (1.14–3.13) |
|
| Region | <0.01 | ||||
| Northeast | 17 | 14 | 19 | ref k | |
| Midwest | 21 | 23 | 19 | 0.60 (0.43–0.85) |
|
| South | 38 | 45 | 34 | 0.55 (0.41–0.74) |
|
| West | 24 | 18 | 27 | 1.07 (0.77–1.51) |
|
| Household income | <0.01 | ||||
| <$50 k | 30 | 35 | 25 | ref k | |
| $50–75 k | 16 | 18 | 16 | 1.23 (0.91–1.67) |
|
| $75–100 k | 13 | 14 | 13 | 1.39 (1.00–1.93) |
|
| $100–150 k | 18 | 18 | 18 | 1.44 (1.05–1.97) |
|
| $150 k+ | 23 | 16 | 28 | 2.47 (1.82–3.36) |
|
| Political affiliation | <0.01 | ||||
| Republican | 25 | 39 | 17 | ref k | |
| Democrat | 33 | 18 | 43 | 5.27 (3.97–6.99) |
|
| Independent/other | 42 | 43 | 40 | 2.07 (1.59–2.69) |
|
| Metropolitan Statistical Area status (metro vs. non-metro) | 87 | 81 | 90 | 2.09 (1.54–2.85) |
<0.01 |
| Parent status (at least one child < 18 vs. no children < 18) | 29 | 36 | 24 | 0.57 (0.46–0.72) |
<0.01 |
| Affirmative Responses To Survey Items f | |||||
| Vaccination and Disease Status | |||||
| Vaccinated against flu within the past year | 54 | 26 | 72 | 6.99 (5.53–8.83) |
<0.01 |
| Ever knowingly had COVID disease | 44 | 53 | 39 | 0.57 (0.47–0.71) |
<0.01 |
| Confidence in sources for information about COVID-19 | |||||
| My doctor | 86 | 73 | 96 | 9.05 (6.23–13.16) |
<0.01 |
| My local or state health department | 74 | 50 | 90 | 8.99 (6.91–11.69) |
<0.01 |
| Scientists and doctors from the Centers for Disease Control and Prevention (CDC) | 70 | 43 | 87 | 9.05 (7.04–11.64) |
<0.01 |
| The Surgeon General | 68 | 42 | 86 | 8.29 (6.48–10.60) |
<0.01 |
| Scientists and doctors from universities | 73 | 49 | 89 | 8.65 (6.65–11.26) |
<0.01 |
| Dr. Anthony Fauci from the National Institutes of Health | 62 | 33 | 80 | 8.33 (6.58–10.55) |
<0.01 |
| Dr. Rochelle Walensky, CDC Director | 63 | 35 | 81 | 8.02 (6.33–10.15) |
<0.01 |
| Dr. David Satcher, Morehouse School of Medicine, Former CDC Director and Surgeon General | 62 | 35 | 80 | 7.39 (5.85–9.34) |
<0.01 |
| My religious leader | 31 | 26 | 33 | 1.45 (1.15–1.82) |
<0.01 |
| Other non-medical people in my community that I trust (specify) | 31 | 25 | 34 | 1.59 (1.23–2.06) |
<0.01 |
| What I see on the news | 37 | 16 | 50 | 5.17 (4.04–6.61) |
<0.01 |
| What I see on social media (Facebook, Twitter, etc.) | 13 | 9 | 15 | 1.78 (1.28–2.46) |
<0.01 |
| Agreement With Other COVID-19 Likert Scale Items (For Adults) | |||||
| I am worried I may accidentally spread COVID-19 to my family members in the next six months | 30 | 19 | 37 | 2.56 (2.02–3.25) |
<0.01 |
| I am worried I may accidentally spread COVID-19 to my friends, neighbors, or co-workers in the next six months | 27 | 17 | 33 | 2.37 (1.85–3.03) |
<0.01 |
| If I get COVID-19, I think it will be severe | 14 | 13 | 14 | 1.18 (0.86–1.61) |
0.30 |
| COVID-19 vaccines are important to stopping the spread of infection in the US | 72 | 44 | 91 | 12.73 (9.67–16.75) |
<0.01 |
| COVID-19 vaccines are important to helping the US get back to a normal life | 71 | 40 | 91 | 15.60 (11.84–20.55) |
<0.01 |
| Most or all of my family members have gotten vaccinated against COVID-19 | 65 | 40 | 82 | 6.63 (5.25–8.36) |
<0.01 |
| Most or all of my friends have gotten vaccinated against COVID-19 | 58 | 33 | 75 | 6.14 (4.90–7.69) |
<0.01 |
| I feel knowledgeable about the COVID-19 vaccine | 76 | 31 | 89 | 1.98 (1.56–2.52) |
<0.01 |
| I would like more information on COVID-19 vaccines | 30 | 24 | 81 | 1.62 (1.29–2.05) |
<0.01 |
| Agreement With Other COVID-19 Likert Scale Items (for Children) | |||||
| COVID-19 can be a serious disease for some children | 83 | 71 | 92 | 4.72 (3.54–6.28) |
<0.01 |
| I am concerned about the safety of COVID-19 vaccine in children | 61 | 78 | 50 | 0.27 (0.21–0.34) |
<0.01 |
| Vaccinating children against COVID-19 is important to end the pandemic and get back to normal | 65 | 33 | 84 | 11.01 (8.61–14.09) |
<0.01 |
| It is better for children to develop immunity to COVID-19 by getting sick rather than by getting a shot | 37 | 65 | 19 | 0.13 (0.10–0.17) |
<0.01 |
| COVID-19 in children is no worse than a cold or the flu | 42 | 64 | 28 | 0.22 (0.18–0.28) |
<0.01 |
| I would support a requirement for children to be vaccinated against COVID-19 to attend school | 56 | 27 | 74 | 7.86 (6.21–9.95) |
<0.01 |
| My child(ren)’s doctor recommended that my child(ren) be vaccinated against COVID-19 once authorized by the FDA g | 67 | 46 | 88 | 8.91 (5.61–14.14) |
<0.01 |
| If not: I would feel more comfortable giving my child(ren) a COVID-19 vaccine if my child(ren)’s doctor recommended it g | 27 | 20 | 60 | 6.10 (2.58–14.38) |
<0.01 |
| I would feel more comfortable giving my child(ren) a COVID-19 vaccine that was fully approved for children by the FDA (instead of just authorized for emergency use) g | 66 | 51 | 80 | 3.94 (2.59–5.99) |
<0.01 |
| Agreement With General Vaccine Likert Scale Items | |||||
| I am confident in the safety of vaccines | 79 | 60 | 93 | 8.58 (6.41–11.5) |
<0.01 |
| I do not trust a vaccine unless it has already been safely given to millions of other people | 46 | 63 | 37 | 0.34 (0.27–0.42) |
<0.01 |
| I am concerned about some of the ingredients in vaccines | 47 | 68 | 34 | 0.24 (0.20–0.31) |
<0.01 |
| Vaccine recommendations from the Centers for Disease Control and Prevention (CDC) are a good fit for me | 72 | 48 | 88 | 8.27 (6.39–10.71) |
<0.01 |
| I am concerned that the government and drug companies experiment on people like me | 41 | 64 | 27 | 0.21 (0.17–0.26) |
<0.01 |
| The benefits of vaccines are much bigger than their risks | 78 | 58 | 93 | 9.73 (7.30–12.96) |
<0.01 |
Red text indicates survey items assessing negative vaccine attitudes. a Column percentages (of total sample), weighted for national representativeness; b column percentages (of up-to-date/not up-to-date) (except for first row “All” which is a row percentage), weighted for national representativeness; c odds ratio (95% confidence interval) of being up-to-date vs. not up-to-date for affirmative survey response vs. not; d using the Pearson chi-square test (significance level of alpha = 5%); for non-dichotomous categorical variables, p-values for differences between all categories included in top row with variable name; e for the construct scale measuring trust in the CDC, a composite, linear score was generated. All answered items within the scale were coded (e.g., strongly disagree = 0, disagree = 1, agree = 2, strongly agree = 3; with negative items reversed) and summed to create the numerator, with the denominator being the total possible score (accounting for missing data). Thus, the scale ranged from 0 to 100 (0 being the least trust possible and 100 being most trust possible). The score was then dichotomized at the middle (50), creating “high trust” and “low trust” groups; f Likert scale response options (strongly agree, agree, disagree, strongly disagree) were dichotomized to agree/disagree, results for agreement shown; other scale response options were dichotomized to reflect affirmative/negative, results for affirmative shown; g asked only to respondents with children < 18; k reference value for logistic regression of categorical variables.
3.2.1. Sociodemographic Characteristics Associated with Vaccination Status
Sociodemographic factors negatively associated with being up-to-date included younger age, less education, lower income, being a parent, living in the southern or midwestern regions of the US, living in a non-metro area, and identifying as Republican.
3.2.2. Vaccine Attitudes Associated with Vaccination Status
Positive vaccine attitudes were positively associated with being up-to-date on COVID-19 vaccines, and negative vaccine attitudes were negatively associated. For example, the strongest association identified was among those who believed COVID-19 vaccines important in getting back to a normal life, who had nearly 16 times higher odds of being up-to-date compared to those who did not (odds ratio: 15.60; 95%CI: 11.84–20.55). Vaccinating against influenza during the past year was positively associated with being up-to-date on COVID-19 vaccines (OR: 6.99; 95%CI: 5.53–8.83), while having ever had the COVID-19 disease was negatively associated (OR: 0.57; 95%CI: 0.47–0.71). Perceived COVID-19 disease severity was not associated with being up-to-date.
3.2.3. Trust in the CDC Associated with Vaccination Status
About two-thirds (68%) of the weighted sample reported high trust in the CDC according to our construct scale. Those with high trust in the CDC had nearly seven times higher odds of being up-to-date on COVID-19 vaccines compared to those with low trust (OR: 6.56; 95%CI: 5.18–8.32).
3.2.4. Confidence in COVID-19 Information Sources Associated with Vaccination Status
Most (86%) of the weighted sample reported confidence in their doctor as a source of COVID-19 information. Nearly three-quarters reported confidence in their health department (74%), scientists/doctors from universities (73%), and the CDC (70%). Individual medical professionals also had the confidence of the majority, such as the Surgeon General (68%), CDC Director Dr. Rochelle Walensky (63%), NIAID, NIH Director Dr. Anthony Fauci (62%), and Former CDC Director and Surgeon General Dr. David Satcher (62%). About one-third reported confidence in the news (37%), their religious leader (31%), and trusted non-medical community members (31%). Only 13% reported confidence in COVID-19 information from social media.
Confidence in COVID-19 information from all sources we inquired about were positively associated with being up-to-date on COVID-19 vaccines, though associations were strongest with health professionals listed, such as one’s doctor (OR: 9.05; 95%CI: 6.23–13.16) and the CDC (OR: 9.05; 95%CI: 7.04–11.64), and weakest with those listed from other fields, such as religious leaders (OR: 1.45; 95%CI: 1.15–1.82) and trusted non-medical community members (OR: 1.59; 95%CI: 1.23–2.06).
3.3. Characterizing Those Not Up-to-Date on COVID-19 Vaccines
3.3.1. Sociodemographic Characteristics among Those Not Up-to-Date
Most of those not up-to-date on their COVID-19 vaccines were under 45 years of age (58%), without a bachelor’s degree (76%), making under $75,000 annually (53%), and Republican or Independent (82%). About one-quarter (26%) of those not up-to-date had received a flu vaccine within the past year.
3.3.2. Sociodemographic Characteristics Associated with Vaccine Intentions among Those Not Up-to-Date
Although only 12% of those not yet up-to-date indicated they were likely to get up-to-date as soon as possible and 42% were unlikely to ever get up-to-date, almost half (46%) were still uncertain (Table 3). Democrats not yet up-to-date had higher odds of being likely (OR: 25.94; 95%CI: 10.48–64.20) or uncertain (OR: 6.59; 95%CI: 3.84–11.31) vs. unlikely to get up-to-date than Republicans (Supplemental Table S2). Non-white Americans not yet up-to-date had higher odds of being likely or uncertain (vs. unlikely) to get up-to-date than white Americans; for example, both Black and Hispanic Americans had about five times higher odds of being likely (vs. unlikely) to get up-to-date than white Americans.
Table 3.
Frequency and odds of intentions to get up-to-date on COVID-19 vaccinations by vaccine attitudes, trust in the CDC, and sociodemographic characteristics.
| Survey Items | Total Not Up-to-Date (%) a |
COVID Vaccine Intentions, % b | p-Value c | ||
|---|---|---|---|---|---|
| Likely | Uncertain | Unlikely | |||
| All | 100 | 12 | 46 | 42 | |
| Constructs e | |||||
| Trust in the Centers for Disease Control and Prevention (CDC) | 44 | 84 | 56 | 15 | <0.01 |
| Sociodemographic Characteristics | |||||
| Gender | 0.97 | ||||
| Female | 52 | 52 | 51 | 52 | |
| Male | 48 | 48 | 49 | 48 | |
| Age (years) | 0.46 | ||||
| 18–29 | 28 | 33 | 28 | 24 | |
| 30–44 | 30 | 32 | 32 | 29 | |
| 45–59 | 22 | 17 | 21 | 23 | |
| 60+ | 20 | 17 | 19 | 24 | |
| Education (attained) | 0.17 | ||||
| <High school | 13 | 22 | 14 | 10 | |
| High school | 34 | 24 | 34 | 39 | |
| Some college | 29 | 28 | 29 | 29 | |
| Bachelor’s or higher | 16 | 19 | 16 | 14 | |
| Master’s or higher | 7 | 7 | 7 | 8 | |
| Race/Ethnicity | <0.01 | ||||
| White, non-Hispanic | 66 | 37 | 63 | 76 | |
| Black, non-Hispanic | 12 | 20 | 13 | 9 | |
| Hispanic | 17 | 31 | 18 | 12 | |
| Other, non-Hispanic | 6 | 11 | 7 | 3 | |
| Region | 0.14 | ||||
| Northeast | 14 | 13 | 12 | 16 | |
| Midwest | 23 | 18 | 25 | 20 | |
| South | 45 | 50 | 40 | 48 | |
| West | 18 | 19 | 22 | 15 | |
| Household income | 0.68 | ||||
| <$50 k | 35 | 43 | 38 | 35 | |
| $50–75 k | 18 | 18 | 17 | 17 | |
| $75–100 k | 14 | 9 | 15 | 11 | |
| $100–150 k | 18 | 16 | 15 | 20 | |
| $150 k+ | 16 | 14 | 15 | 16 | |
| Political affiliation | <0.01 | ||||
| Republican | 39 | 15 | 31 | 52 | |
| Democrat | 18 | 42 | 22 | 5 | |
| Independent/other | 43 | 43 | 47 | 43 | |
| Metropolitan Statistical Area status (metro vs. non-metro) | 81 | 86 | 84 | 78 | 0.19 |
| Parent status (at least one child < 18 vs. no children < 18) | 36 | 48 | 34 | 33 | 0.06 |
| Affirmative Responses To Survey Items f | |||||
| Vaccination and Disease Status | |||||
| Vaccinated against flu within the past year | 26 | 45 | 27 | 20 | <0.01 |
| Ever knowingly had COVID disease | 53 | 49 | 49 | 55 | 0.31 |
| Reasons to not get a COVID-19 vaccine h | |||||
| I do not think I am at risk of getting COVID-19 | <0.01 | ||||
| Yes | 23 | 20 | 16 | 30 | |
| No | 52 | 62 | 49 | 54 | |
| Do not know | 25 | 18 | 35 | 16 | |
| I do not think I would get very sick if I got COVID-19 | <0.01 | ||||
| Yes | 45 | 19 | 40 | 52 | |
| No | 33 | 53 | 33 | 30 | |
| Do not know | 21 | 28 | 27 | 18 | |
| I do not believe COVID-19 is any worse than the seasonal flu | <0.01 | ||||
| Yes | 47 | 15 | 36 | 64 | |
| No | 36 | 70 | 41 | 23 | |
| Do not know |
17 | 15 | 22 | 14 | |
| I do not think the COVID-19 vaccines are likely to protect me from COVID-19 | <0.01 | ||||
| Yes | 54 | 19 | 37 | 78 | |
| No | 28 | 56 | 37 | 12 | |
| Do not know | 18 | 25 | 26 | 10 | |
| I do not think the COVID-19 vaccines are likely to protect me from new variants of COVID-19 | <0.01 | ||||
| Yes | 61 | 26 | 48 | 79 | |
| No | 21 | 49 | 26 | 11 | |
| Do not know | 18 | 25 | 26 | 10 | |
| I do not think the COVID-19 vaccines are likely to protect me from “Long COVID” | <0.01 | ||||
| Yes | 53 | 22 | 37 | 74 | |
| No | 21 | 51 | 26 | 11 | |
| Do not know | 26 | 26 | 37 | 15 | |
| It is better to develop immunity to COVID-19 by getting sick rather than by getting a shot | <0.01 | ||||
| Yes | 50 | 14 | 33 | 76 | |
| No | 26 | 69 | 35 | 5 | |
| Do not know | 24 | 17 | 32 | 19 | |
| I would rather take other precautions (such masking and social distancing) than get a shot | <0.01 | ||||
| Yes | 41 | 20 | 42 | 42 | |
| No | 51 | 66 | 45 | 53 | |
| Do not know | 9 | 14 | 13 | 4 | |
| I am worried about the safety of COVID-19 vaccines | <0.01 | ||||
| Yes | 66 | 23 | 56 | 83 | |
| No | 25 | 67 | 32 | 10 | |
| Do not know | 9 | 10 | 13 | 7 | |
| I do not like needles | 0.03 | ||||
| Yes | 23 | 35 | 24 | 21 | |
| No | 74 | 55 | 72 | 77 | |
| Do not know | 4 | 10 | 4 | 3 | |
| I do not trust how the vaccine was developed | <0.01 | ||||
| Yes | 57 | 17 | 41 | 81 | |
| No | 29 | 63 | 40 | 10 | |
| Do not know | 14 | 20 | 19 | 10 | |
| I do not trust the pharmaceutical companies that have developed the vaccine | <0.01 | ||||
| Yes | 54 | 19 | 38 | 79 | |
| No | 28 | 49 | 39 | 12 | |
| Do not know | 18 | 32 | 24 | 10 | |
| I do not believe that the government is acting in my or my family’s best interest | <0.01 | ||||
| Yes | 60 | 22 | 45 | 83 | |
| No | 23 | 52 | 32 | 7 | |
| Do not know | 17 | 26 | 23 | 10 | |
| I do not have access to where vaccines are being given | 0.04 | ||||
| Yes | 5 | 10 | 6 | 4 | |
| No | 89 | 77 | 85 | 91 | |
| Do not know | 7 | 12 | 9 | 4 | |
| I do not know how to register to get a vaccine | <0.01 | ||||
| Yes | 3 | 13 | 3 | 3 | |
| No | 93 | 81 | 89 | 94 | |
| Do not know | 4 | 6 | 7 | 3 | |
| I know how to register to get a vaccine but it is too difficult | 0.03 | ||||
| Yes | 4 | 11 | 5 | 2 | |
| No | 89 | 78 | 86 | 93 | |
| Do not know | 6 | 11 | 9 | 4 | |
| My friends and/or family do not want to get the vaccine | <0.01 | ||||
| Yes | 22 | 15 | 15 | 30 | |
| No | 62 | 74 | 68 | 53 | |
| Do not know | 16 | 12 | 17 | 17 | |
| I have seen posts on social media that make me wary of the vaccine | <0.01 | ||||
| Yes | 23 | 12 | 18 | 31 | |
| No | 69 | 72 | 72 | 63 | |
| Do not know | 8 | 16 | 10 | 6 | |
| I want to wait to see what happens to others | <0.01 | ||||
| Yes | 39 | 14 | 36 | 44 | |
| No | 51 | 70 | 49 | 51 | |
| Do not know | 10 | 16 | 15 | 5 | |
| I need more time to learn and think more about it | <0.01 | ||||
| Yes | 34 | 18 | 41 | 28 | |
| No | 59 | 64 | 49 | 68 | |
| Do not know | 7 | 18 | 10 | 3 | |
| Other | 0.02 | ||||
| Yes | 25 | 15 | 19 | 32 | |
| No | 54 | 46 | 59 | 47 | |
| Do not know | 22 | 39 | 22 | 20 | |
| Concerns regarding COVID-19 vaccines i | |||||
| How fast COVID-19 vaccines were developed and made available to the public | 84 | 58 | 77 | 89 | <0.01 |
| COVID-19 vaccines are new | 79 | 37 | 75 | 85 | <0.01 |
| A lot of people who get the vaccine feel tired, achy, and get headaches and fever the next day | 58 | 64 | 52 | 65 | 0.03 |
| Some people have bad allergic reactions to COVID-19 vaccines | 70 | 57 | 65 | 74 | 0.08 |
| I am not sure the ingredients in COVID-19 vaccines are safe | 78 | 59 | 69 | 87 | <0.01 |
| COVID-19 vaccines are made from mRNA | 69 | 42 | 59 | 78 | <0.01 |
| COVID-19 vaccines might change my DNA | 44 | 48 | 37 | 53 | <0.01 |
| COVID-19 vaccines might affect my fertility or ability to have children | 41 | 52 | 33 | 46 | 0.01 |
| There may be side effects to the COVID-19 vaccine that have not been figured out yet | 91 | 67 | 88 | 92 | <0.01 |
| There were not enough people of my race/ethnicity who were a part of the vaccine studies | 35 | 51 | 37 | 37 | 0.46 |
| They are experimenting on people with the COVID-19 vaccine | 73 | 59 | 63 | 84 | <0.01 |
| The drug companies are making a lot of money off of COVID-19 vaccines | 75 | 63 | 67 | 83 | <0.01 |
| Some COVID-19 vaccines are made from aborted fetuses | 48 | 57 | 38 | 58 | <0.01 |
| Confidence in sources for information about COVID-19 | |||||
| My doctor | 73 | 94 | 80 | 54 | <0.01 |
| My local or state health department | 50 | 87 | 60 | 25 | <0.01 |
| Scientists and doctors from the Centers for Disease Control and Prevention (CDC) | 43 | 87 | 53 | 17 | <0.01 |
| The Surgeon General | 42 | 83 | 52 | 15 | <0.01 |
| Scientists and doctors from universities | 49 | 88 | 57 | 26 | <0.01 |
| Dr. Anthony Fauci from the National Institutes of Health | 33 | 78 | 41 | 10 | <0.01 |
| Dr. Rochelle Walensky, CDC Director | 35 | 77 | 42 | 13 | <0.01 |
| Dr. David Satcher, Morehouse School of Medicine, Former CDC Director and Surgeon General | 35 | 75 | 42 | 14 | <0.01 |
| My religious leader | 26 | 40 | 25 | 24 | 0.02 |
| Other non-medical people in my community that I trust (specify) | 25 | 27 | 24 | 28 | 0.70 |
| What I see on the news | 16 | 44 | 20 | 5 | <0.01 |
| What I see on social media (Facebook, Twitter, etc.) | 9 | 20 | 9 | 6 | <0.01 |
| Agreement With Other COVID-19 Likert Scale Items (For Adults) | |||||
| I am worried I may accidentally spread COVID-19 to my family members in the next six months | 19 | 54 | 21 | 7 | <0.01 |
| I am worried I may accidentally spread COVID-19 to my friends, neighbors, or co-workers in the next six months | 17 | 53 | 18 | 7 | <0.01 |
| If I get COVID-19, I think it will be severe | 13 | 40 | 12 | 7 | <0.01 |
| COVID-19 vaccines are important to stopping the spread of infection in the US | 44 | 97 | 59 | 10 | <0.01 |
| COVID-19 vaccines are important to helping the US get back to a normal life | 40 | 94 | 53 | 9 | <0.01 |
| Most or all of my family members have gotten vaccinated against COVID-19 | 40 | 69 | 47 | 21 | <0.01 |
| Most or all of my friends have gotten vaccinated against COVID-19 | 33 | 54 | 39 | 16 | <0.01 |
| If my main doctor were to recommend that I take the COVID-19 vaccine, I would be likely to take it | 28 | 96 | 46 | 6 | <0.01 |
| If a close family member were to recommend that I take the COVID-19 vaccine, I would be likely to take it | 24 | 75 | 40 | 3 | <0.01 |
| If my close friends were to recommend that I take the COVID-19 vaccine, I would be likely to take it | 20 | 73 | 33 | 3 | <0.01 |
| I feel knowledgeable about the COVID-19 vaccine | 68 | 64 | 62 | 76 | <0.01 |
| I would like to get more information on COVID-19 vaccines | 24 | 53 | 31 | 10 | <0.01 |
| Agreement With Other COVID-19 Likert Scale Items (for Children) | |||||
| COVID-19 can be a serious disease for some children | 71 | 94 | 81 | 51 | <0.01 |
| I am concerned about the safety of COVID-19 vaccine in children | 78 | 69 | 78 | 81 | 0.08 |
| Vaccinating children against COVID-19 is important to end the pandemic and get back to normal | 33 | 88 | 43 | 8 | <0.01 |
| It is better for children to develop immunity to COVID-19 by getting sick rather than by getting a shot | 65 | 28 | 56 | 84 | <0.01 |
| COVID-19 in children is no worse than a cold or the flu | 64 | 33 | 58 | 79 | <0.01 |
| I would support a requirement for children to be vaccinated against COVID-19 to attend school | 27 | 83 | 31 | 5 | <0.01 |
| My child(ren)’s doctor recommended that my child(ren) be vaccinated against COVID-19 once authorized by the FDA g | 46 | 80 | 50 | 22 | <0.01 |
| If not: I would feel more comfortable giving my child(ren) a COVID-19 vaccine if my child(ren)’s doctor recommended it g | 20 | 81 | 28 | 6 | <0.01 |
| I would feel more comfortable giving my child(ren) a COVID-19 vaccine that was fully approved for children by the FDA (instead of just authorized for emergency use) g | 51 | 93 | 62 | 16 | <0.01 |
| Agreement With General Vaccine Likert Scale Items | |||||
| I am confident in the safety of vaccines | 60 | 92 | 66 | 40 | <0.01 |
| I do not trust a vaccine unless it has already been safely given to millions of other people | 63 | 50 | 63 | 64 | 0.08 |
| I am concerned about some of the ingredients in vaccines | 68 | 56 | 64 | 76 | <0.01 |
| Vaccine recommendations from the Centers for Disease Control and Prevention (CDC) are a good fit for me | 48 | 92 | 58 | 22 | <0.01 |
| I am concerned that the government and drug companies experiment on people like me | 64 | 51 | 57 | 76 | <0.01 |
| The benefits of vaccines are much bigger than their risks | 58 | 87 | 64 | 36 | <0.01 |
Red text indicates survey items assessing negative vaccine attitudes. a Column percentages (of respondents not up-to-date on COVID-19 vaccines), weighted for national representativeness; b column percentages (of corresponding intention categories) (except for first row “All” which is a row percentage), weighted for national representativeness; c using the Pearson chi-square test (significance level of alpha = 5%); for non-dichotomous categorical variables, p-values for differences between all categories included in top row with variable name; e construct scales combine scores for each relevant survey item (reversing negative items) and divide by maximum (e.g., 100 being complete trust and 0 being complete distrust); after dichotomizing at middle (50), binary variable represents high vs. low score (e.g., 1 being high trust and 0 being low trust); f Likert scale response options (strongly agree, agree, disagree, strongly disagree) were dichotomized to agree/disagree, results for agreement shown; other scale response options were dichotomized to reflect affirmative/negative, results for affirmative shown; g asked only to respondents with children < 18; h asked only to respondents not yet up-to-date on COVID-19 vaccines and not definitely planning to soon become up-to-date on COVID-19 vaccines; i asked only to respondents worried or uncertain about the safety of COVID-19 vaccines.
3.3.3. Vaccine Attitudes Associated with Vaccine Intentions among Those Not Up-to-Date
Many of the vaccine attitudes associated with being up-to-date in Table 2 were also strongly associated with being likely or uncertain (vs. unlikely) to get up-to-date (Supplemental Table S2). In addition, those who expected the COVID-19 disease to be severe if they got it had nine times higher odds of being likely (vs. unlikely) to get up-to-date (OR: 9.19; 95%CI: 4.53–18.64).
3.3.4. Information Sources Associated with Vaccine Intentions among Those Not Up-to-Date
Confidence in COVID-19 information from all sources we inquired about other than trusted non-medical community members were positively associated with being likely to get up-to-date on COVID-19 vaccines. Associations were strongest with the health professionals listed, such as Dr. Fauci (OR: 33.86; 95%CI: 15.91–72.07) and the CDC (OR: 32.64; 95%CI: 16.06–66.33).
3.3.5. Reasons to Vaccinate among Those Uncertain about Getting Up-to-Date
More than half of those uncertain about getting up-to-date on COVID-19 vaccines reported believing that vaccines are important in stopping the spread of infection (59%) and helping the US get back to normal (53%) (Table 3). Fewer than half of the uncertain reported most or all of their family members (47%) and friends (39%) had gotten vaccinated against COVID-19, and that if their main doctor (46%) or a close family member (40%) or close friend (33%) recommended it, they would likely vaccinate. About one-fifth of the uncertain worried about spreading COVID-19 to their family (21%) or their friends, neighbors, and coworkers (28%). Only 12% of the uncertain thought COVID-19 would be severe if they got it. Although 62% of the uncertain already felt knowledgeable about COVID-19 vaccines, 31% wanted more information about them.
3.3.6. Specific Vaccine Concerns among Those Uncertain about Getting Up-to-Date
The most common concerns about COVID-19 vaccines among those uncertain about getting up-to-date included their potential side effects that have not been figured out yet (88%), the speed of their development (77%), their newness (75%), the safety of their ingredients (69%), drug companies making a lot of money off of them (67%), allergic reactions to them (65%), and experimenting on people with them (63%). Other less common but still prevalent concerns among the uncertain included immediate side effects, such as aches/fatigue/fever (52%), some vaccines being made from aborted fetuses (38%), not enough diversity (“people of my race/ethnicity”) in vaccine studies (37%), potential changes to DNA (37%), and potential effects on fertility (33%).
3.3.7. Other Reasons Not to Vaccinate among Those Uncertain about Getting Up-to-Date
About half of those uncertain about getting up-to-date reported worrying about the safety of COVID-19 vaccines (56%), thinking COVID-19 vaccines are not likely to protect against new variants (48%), and believing that the government is not acting in their best interest (45%). More than a third of the uncertain reported preferring to take other precautions (such as masking and social distancing) rather than getting a shot (42%), needing more time to learn and think more about it (41%), thinking they would not get very sick if they got COVID-19 (40%), not trusting pharmaceutical companies (38%), thinking vaccines unlikely to protect against either COVID-19 or “Long COVID” (37%), believing COVID-19 is no worse than the seasonal flu (36%), wanting to wait to see what happens to others who vaccinate (36%), and believing it better to develop immunity by getting sick rather than by getting a shot (33%). Fewer than one-fifth of the uncertain reported social media posts making them wary of vaccinating (18%), not thinking they were at risk of getting COVID-19 (16%), and their friends/family not wanting to vaccinate (15%). Only 6% reported not having access to vaccines, only 5% reported it too difficult to register for vaccination, and only 3% reported not knowing how to register.
3.3.8. Information Sources among Those Uncertain about Getting Up-to-Date
Four-fifths (80%) of those uncertain about getting up-to-date were confident in their doctor as a source of COVID-19 information. Other health professionals listed had the confidence of about half of the uncertain, such as health departments (60%), university scientists and doctors (57%), the CDC (53%), the Surgeon General (52%), and Dr. Fauci (41%). About one-quarter of the uncertain were confident in those listed from other fields, such as religious leaders (25%) and trusted non-medical community members (24%). One-fifth (20%) of the uncertain trusted the news for COVID-19 information, and only 9% trusted social media.
3.4. Differences by Race and Ethnicity
3.4.1. Vaccination Status
About the same proportion (62–64%) of white, Black, and Hispanic Americans reported being up-to-date on their COVID-19 vaccines (Table 4). Among those not yet up-to-date, about two-thirds of Black (68%) and Hispanic (70%) Americans remained open to getting up-to-date on COVID-19 vaccines (either likely to vaccinate or uncertain), compared to about half (51%) of white Americans (p < 0.01). In contrast, more white Americans (57%) were vaccinated against flu than Black and Hispanic Americans (46%) (p < 0.01).
Table 4.
Race/ethnicity by vaccine attitudes, trust in the CDC, and sociodemographic characteristics.
| Survey Items | Total (%) a | Race/Ethnicity (%) b | p-Value c | |||
|---|---|---|---|---|---|---|
| White | Black | Hispanic | Other | |||
| All | 100 | 63 | 12 | 17 | 8 | |
| Constructs d | ||||||
| Trust in the Centers for Disease Control and Prevention (CDC) | 68 | 63 | 74 | 74 | 81 | <0.01 |
| Affirmative Responses To Survey Items e | ||||||
| Vaccination and Disease Status | ||||||
| Vaccinated against flu within the past year | 54 | 57 | 46 | 46 | 60 | <0.01 |
| Ever knowingly had COVID disease | 44 | 44 | 34 | 48 | 50 | 0.01 |
| Vaccinated against COVID (at least one dose) | 85 | 83 | 84 | 87 | 95 | <0.01 |
| Up-to-date on COVID vaccines | 63 | 62 | 63 | 64 | 75 | 0.02 |
| If not up-to-date: intentions to get up-to-date | <0.01 | |||||
| Likely to soon get up-to-date | 12 | 7 | 20 | 22 | 24 | |
| Uncertain about getting up-to-date | 46 | 44 | 49 | 48 | 54 | |
| Unlikely to ever get up-to-date | 42 | 49 | 32 | 30 | 22 | |
| Reasons to not get a COVID-19 vaccine h | ||||||
| I do not think I am at risk of getting COVID-19 | 0.20 | |||||
| Yes | 23 | 21 | 22 | 26 | 23 | |
| No | 52 | 56 | 48 | 38 | 52 | |
| Do not know | 25 | 23 | 30 | 36 | 25 | |
| I do not think I would get very sick if I got COVID-19 | <0.01 | |||||
| Yes | 45 | 48 | 24 | 36 | 44 | |
| No | 33 | 31 | 38 | 33 | 48 | |
| Do not know | 21 | 21 | 38 | 31 | 8 | |
| I do not believe COVID-19 is any worse than the seasonal flu | <0.01 | |||||
| Yes | 47 | 55 | 23 | 32 | 32 | |
| No | 36 | 31 | 44 | 40 | 67 | |
| Do not know | 17 | 15 | 33 | 28 | 1 | |
| I do not think the COVID-19 vaccines are likely to protect me from COVID-19 | 0.01 | |||||
| Yes | 54 | 59 | 40 | 43 | 43 | |
| No | 28 | 24 | 32 | 31 | 50 | |
| Do not know | 18 | 17 | 27 | 26 | 8 | |
| I do not think the COVID-19 vaccines are likely to protect me from new variants of COVID-19 | <0.01 | |||||
| Yes | 61 | 67 | 46 | 48 | 31 | |
| No | 21 | 16 | 29 | 24 | 53 | |
| Do not know | 18 | 16 | 25 | 28 | 16 | |
| I do not think the COVID-19 vaccines are likely to protect me from “Long COVID” | <0.01 | |||||
| Yes | 53 | 59 | 43 | 39 | 29 | |
| No | 21 | 16 | 27 | 27 | 52 | |
| Do not know | 26 | 25 | 30 | 35 | 19 | |
| It is better to develop immunity to COVID-19 by getting sick rather than by getting a shot | <0.01 | |||||
| Yes | 50 | 55 | 30 | 45 | 42 | |
| No | 26 | 22 | 29 | 25 | 44 | |
| Do not know | 24 | 23 | 41 | 30 | 13 | |
| I would rather take other precautions (such as masking and social distancing) than get a shot | <0.01 | |||||
| Yes | 41 | 35 | 61 | 51 | 31 | <0.01 |
| No | 51 | 57 | 28 | 35 | 63 | |
| Do not know | 9 | 8 | 11 | 14 | 6 | |
| I am worried about the safety of COVID-19 vaccines | 0.19 | |||||
| Yes | 66 | 68 | 63 | 56 | 70 | |
| No | 25 | 23 | 25 | 29 | 30 | |
| Do not know | 9 | 10 | 12 | 15 | 0 | |
| I do not like needles | 0.01 | |||||
| Yes | 23 | 22 | 30 | 23 | 24 | |
| No | 74 | 75 | 61 | 69 | 75 | |
| Do not know | 4 | 2 | 8 | 9 | 1 | |
| I do not trust how the vaccine was developed | 0.01 | |||||
| Yes | 57 | 62 | 49 | 45 | 48 | |
| No | 29 | 26 | 28 | 32 | 47 | |
| Do not know | 14 | 13 | 23 | 23 | 6 | |
| I do not trust the pharmaceutical companies that have developed the vaccine | <0.01 | |||||
| Yes | 54 | 60 | 43 | 43 | 43 | |
| No | 28 | 24 | 30 | 31 | 50 | |
| Do not know | 18 | 16 | 27 | 26 | 7 | |
| I do not believe that the government is acting in my or my family’s best interest | <0.01 | |||||
| Yes | 60 | 66 | 49 | 45 | 51 | |
| No | 23 | 19 | 25 | 28 | 38 | |
| Do not know | 17 | 15 | 27 | 27 | 11 | |
| I do not have access to where vaccines are being given | <0.01 | |||||
| Yes | 5 | 4 | 12 | 9 | 3 | |
| No | 89 | 91 | 74 | 77 | 97 | |
| Do not know | 7 | 6 | 14 | 14 | 0 | |
| I do not know how to register to get a vaccine | 0.01 | |||||
| Yes | 3 | 2 | 7 | 6 | 3 | |
| No | 93 | 93 | 82 | 85 | 95 | |
| Do not know | 4 | 4 | 11 | 9 | 2 | |
| I know how to register to get a vaccine but it is too difficult | <0.01 | |||||
| Yes | 4 | 2 | 8 | 9 | 12 | |
| No | 89 | 91 | 81 | 81 | 85 | |
| Do not know | 6 | 7 | 11 | 10 | 2 | |
| My friends and/or family do not want to get the vaccine | <0.01 | |||||
| Yes | 22 | 23 | 21 | 16 | 21 | |
| No | 62 | 62 | 52 | 61 | 78 | |
| Do not know | 16 | 15 | 26 | 23 | 1 | |
| I have seen posts on social media that make me wary of the vaccine | 0.16 | |||||
| Yes | 23 | 22 | 24 | 27 | 19 | |
| No | 69 | 69 | 63 | 61 | 81 | |
| Do not know | 8 | 9 | 13 | 12 | 0 | |
| I want to wait to see what happens to others | 0.10 | |||||
| Yes | 39 | 38 | 33 | 39 | 41 | |
| No | 51 | 53 | 47 | 45 | 50 | |
| Do not know | 10 | 9 | 20 | 15 | 8 | |
| I need more time to learn and think more about it | 0.03 | |||||
| Yes | 34 | 32 | 40 | 38 | 37 | |
| No | 59 | 62 | 51 | 48 | 62 | |
| Do not know | 7 | 6 | 9 | 14 | 1 | |
| Other | 0.03 | |||||
| Yes | 25 | 29 | 17 | 15 | 10 | |
| No | 54 | 49 | 55 | 57 | 77 | |
| Do not know | 22 | 21 | 28 | 28 | 13 | |
| Concerns regarding COVID-19 vaccines i | ||||||
| How fast COVID-19 vaccines were developed and made available to the public | 84 | 87 | 76 | 68 | 90 | 0.01 |
| COVID-19 vaccines are new | 79 | 83 | 68 | 65 | 81 | <0.01 |
| A lot of people who get the vaccine feel tired, achy, and get headaches and fever the next day | 58 | 59 | 64 | 57 | 56 | 0.79 |
| Some people have bad allergic reactions to COVID-19 vaccines | 70 | 70 | 74 | 66 | 73 | 0.76 |
| I am not sure the ingredients in COVID-19 vaccines are safe | 78 | 80 | 77 | 70 | 75 | 0.34 |
| COVID-19 vaccines are made from mRNA | 69 | 72 | 64 | 56 | 69 | 0.07 |
| COVID-19 vaccines might change my DNA | 44 | 44 | 54 | 51 | 39 | 0.31 |
| COVID-19 vaccines might affect my fertility or ability to have children | 41 | 41 | 41 | 43 | 31 | 0.69 |
| There may be side effects to the COVID-19 vaccine that have not been figured out yet | 91 | 92 | 83 | 77 | 100 | <0.01 |
| There were not enough people of my race/ethnicity who were a part of the vaccine studies | 35 | 31 | 55 | 43 | 60 | <0.01 |
| They are experimenting on people with the COVID-19 vaccine | 73 | 75 | 72 | 68 | 79 | 0.65 |
| The drug companies are making a lot of money off of COVID-19 vaccines | 75 | 80 | 62 | 65 | 76 | <0.01 |
| Some COVID-19 vaccines are made from aborted fetuses | 48 | 52 | 42 | 48 | 44 | 0.44 |
| Confidence in sources for information about COVID-19 | ||||||
| My doctor | 86 | 86 | 82 | 88 | 89 | 0.25 |
| My local or state health department | 74 | 71 | 76 | 80 | 82 | <0.01 |
| Scientists and doctors from the Centers for Disease Control and Prevention (CDC) | 70 | 65 | 75 | 79 | 81 | <0.01 |
| The Surgeon General | 68 | 63 | 72 | 76 | 82 | <0.01 |
| Scientists and doctors from universities | 73 | 69 | 73 | 81 | 85 | <0.01 |
| Dr. Anthony Fauci from the National Institutes of Health | 62 | 55 | 74 | 73 | 77 | <0.01 |
| Dr. Rochelle Walensky, CDC Director | 63 | 58 | 67 | 72 | 73 | <0.01 |
| Dr. David Satcher, Morehouse School of Medicine, Former CDC Director and Surgeon General | 62 | 57 | 67 | 71 | 76 | <0.01 |
| My religious leader | 31 | 25 | 45 | 41 | 29 | <0.01 |
| Other non-medical people in my community that I trust (specify) | 31 | 31 | 31 | 34 | 24 | 0.29 |
| What I see on the news | 37 | 33 | 43 | 49 | 42 | <0.01 |
| What I see on social media (Facebook, Twitter, etc.) | 13 | 8 | 20 | 24 | 15 | <0.01 |
| Agreement With Other COVID-19 Likert Scale Items (For Adults) | ||||||
| I am worried I may accidentally spread COVID-19 to my family members in the next six months | 30 | 24 | 36 | 47 | 38 | <0.01 |
| I am worried I may accidentally spread COVID-19 to my friends, neighbors, or co-workers in the next six months | 27 | 21 | 31 | 43 | 36 | <0.01 |
| If I get COVID-19, I think it will be severe | 14 | 12 | 16 | 18 | 16 | 0.05 |
| COVID-19 vaccines are important to stopping the spread of infection in the US | 72 | 68 | 77 | 80 | 84 | <0.01 |
| COVID-19 vaccines are important to helping the US get back to a normal life | 71 | 66 | 75 | 79 | 89 | <0.01 |
| Most or all of my family members have gotten vaccinated against COVID-19 | 65 | 64 | 59 | 69 | 76 | <0.01 |
| Most or all of my friends have gotten vaccinated against COVID-19 | 58 | 57 | 50 | 58 | 78 | <0.01 |
| I feel knowledgeable about the COVID-19 vaccine | 76 | 80 | 75 | 63 | 79 | <0.01 |
| I would like to get more information on COVID-19 vaccines | 30 | 25 | 40 | 41 | 37 | <0.01 |
| Agreement With Other COVID-19 Likert Scale Items (for Children) | ||||||
| COVID-19 can be a serious disease for some children | 83 | 82 | 91 | 81 | 86 | 0.01 |
| I am concerned about the safety of COVID-19 vaccine in children | 61 | 59 | 70 | 67 | 51 | <0.01 |
| Vaccinating children against COVID-19 is important to end the pandemic and get back to normal | 65 | 59 | 73 | 71 | 80 | <0.01 |
| It is better for children to develop immunity to COVID-19 by getting sick rather than by getting a shot | 37 | 38 | 33 | 39 | 29 | 0.11 |
| COVID-19 in children is no worse than a cold or the flu | 42 | 45 | 32 | 40 | 41 | 0.01 |
| I would support a requirement for children to be vaccinated against COVID-19 to attend school | 56 | 50 | 65 | 64 | 72 | <0.01 |
| My child(ren)’s doctor recommended that my child(ren) be vaccinated against COVID-19 once authorized by the FDA f | 67 | 60 | 69 | 69 | 93 | <0.01 |
| If not: I would feel more comfortable giving my child(ren) a COVID-19 vaccine if my child(ren)’s doctor recommended it f | 27 | 28 | 22 | 23 | 35 | 0.83 |
| I would feel more comfortable giving my child(ren) a COVID-19 vaccine that was fully approved for children by the FDA (instead of just authorized for emergency use) f | 66 | 59 | 68 | 76 | 72 | 0.01 |
| Agreement With General Vaccine Likert Scale Items | ||||||
| I am confident in the safety of vaccines | 79 | 78 | 77 | 81 | 88 | 0.05 |
| I do not trust a vaccine unless it has already been safely given to millions of other people | 46 | 43 | 56 | 54 | 46 | <0.01 |
| I am concerned about some of the ingredients in vaccines | 47 | 45 | 58 | 52 | 42 | <0.01 |
| Vaccine recommendations from the Centers for Disease Control and Prevention (CDC) are a good fit for me | 72 | 70 | 74 | 76 | 84 | <0.01 |
| I am concerned that the government and drug companies experiment on people like me | 41 | 36 | 56 | 52 | 41 | <0.01 |
| The benefits of vaccines are much bigger than their risks | 78 | 77 | 76 | 80 | 90 | 0.01 |
Red text indicates survey items assessing negative vaccine attitudes. a Column percentages (of total sample), weighted for national representativeness; b column percentages (of race/ethnicity) (except for first row “All” which is a row percentage), weighted for national representativeness; all race/ethnicity categories are non-Hispanic except for Hispanic (i.e., participants of Hispanic ethnicity were considered Hispanic regardless of their race); c using the Pearson chi-square test (significance level of alpha = 5%); for non-dichotomous categorical variables, p-values for differences between all categories included in top row with variable name; d construct scales combine scores for each relevant survey item (reversing negative items) and divide by maximum (e.g., 100 being complete trust and 0 being complete distrust); after dichotomizing at middle (50), binary variable represents high vs. low score (e.g., 1 being high trust and 0 being low trust); e Likert scale response options (strongly agree, agree, disagree, strongly disagree) were dichotomized to agree/disagree, results for agreement shown; other scale response options were dichotomized to reflect affirmative/negative, results for affirmative shown; f asked only to respondents with children; h asked only to respondents not yet up-to-date on COVID-19 vaccines and not definitely planning to soon become up-to-date on COVID-19 vaccines; i asked only to respondents worried or uncertain about the safety of COVID-19 vaccines.
3.4.2. Reasons to Vaccinate
Black and especially Hispanic Americans also tended to report reasons to vaccinate more frequently than white Americans. More than three-quarters of Black (77% and 75%) and Hispanic (80% and 79%) Americans reported believing vaccines important in stopping the spread of infection and helping the US get back to normal, respectively, compared to about two-thirds of white Americans (68% and 66%) (p < 0.01). Nearly half of Hispanic Americans worried about spreading COVID-19 to their family (47%) or their friends, neighbors, and coworkers (43%), compared to about one-third of Black Americans (36% and 31%, respectively) and one-quarter of white Americans (24% and 21%, respectively) (p < 0.01). However, Black Americans were the least likely to report that most or all of their family members (59%) and friends (50%) had gotten vaccinated against COVID-19, compared to white (64% and 57%, respectively) and Hispanic (69% and 58%, respectively) Americans (p < 0.01). Four-fifths (80%) of white Americans already felt knowledgeable about COVID-19 vaccines, compared to three-quarters (75%) of Black and 63% of Hispanic Americans (p < 0.01). Only one-quarter (25%) of white Americans wanted more information about COVID-19 vaccines, compared to 40% of Black and 41% of Hispanic Americans (p < 0.01).
3.4.3. Specific Vaccine Concerns and Other Reasons Not to Vaccinate
Among those not yet up-to-date, white Americans reported many of the specific concerns and other reasons not to vaccinate more frequently than Black and Hispanic Americans. White Americans were more likely to be concerned about the potential side effects of COVID-19 vaccines that have not been figured out yet (92%), the speed of their development (87%), their newness (83%), and drug companies making a lot of money off of them (80%), compared to Black Americans (83%, 76%, 68%, and 62%, respectively) and Hispanic Americans (77%, 68%, 65%, and 65%, respectively) (p < 0.01). White Americans were more likely to report not thinking they would get very sick if they got COVID-19 (48%), not believing COVID-19 to be any worse than the flu (55%), not thinking vaccines likely to protect them from COVID-19 (59%), new variants of COVID-19 (67%), or “Long COVID” (59%), and believing it better to develop immunity to COVID-19 by getting sick rather than getting a shot (55%), compared to Hispanic Americans (36%, 32%, 43%, 48%, and 39%, respectively) and Black Americans (24%, 23%, 40%, 46%, 43%, and 30%, respectively) (p < 0.01). White Americans were also more likely to report not trusting the pharmaceutical companies that have developed the vaccine (60%) and not believing that the government acts in their best interest (66%), compared to Hispanic Americans (43% and 45%, respectively) and Black Americans (43% and 49%, respectively) (p < 0.01).
However, white Americans were the least likely to report concerns regarding not enough diversity (“people of my race/ethnicity”) in vaccine studies (31%), followed by Hispanic (43%) and then Black (55%) Americans (p < 0.01). White Americans were also less likely to prefer taking other precautions (such as masking and social distancing) to getting a shot (35%), compared to Hispanic (51%) and Black (61%) Americans (p < 0.01). White Americans were the least likely to report not having access to vaccines (4%), not knowing how to register for vaccination (2%), and it being too difficult to register (2%), compared to Hispanic Americans (9%, 6%, and 9%, respectively) and Black Americans (12%, 7%, and 8%, respectively) (p < 0.01).
3.4.4. Information Sources
No difference was found by race/ethnicity in one’s confidence in their doctor or in trusted non-medical community members as sources of COVID-19 information. However, all other information sources listed had lower confidence among white Americans as compared to Black and Hispanic Americans. This includes both health professionals, such as the CDC (65% vs. 75% vs. 79%, respectively) and Dr. Fauci (55% vs. 74% vs. 73%, respectively), as well as other sources, such as religious leaders (25% vs. 45% vs. 41%, respectively) and social media (8% vs. 20% vs. 24%, respectively) (p < 0.01).
3.5. Changes over Time
Response frequency to most items repeated in our July 2021 and September 2022 survey waves did not differ significantly (Table 5). However, several measures did change dramatically over time. The proportion of US adults ever knowingly having COVID-19 disease more than quadrupled, from 10% in July 2021 to 46% in September 2022 (p < 0.01). The proportion thinking COVID-19 would be severe if they got it decreased by 7%, from 23% to 15% (p = 0.02). At least 10% fewer respondents believed COVID-19 vaccines important in stopping the spread of infection and getting back to a normal life (p < 0.01). The proportion of respondents not yet up-to-date who reported social media posts making them wary of vaccinating decreased by 14% (p = 0.01). About one-quarter fewer of those not yet up-to-date reported needing more time to think (p = 0.02) or wanting to wait to see what happened to others before vaccinating (p < 0.01), or concerns about immediate side effects (p = 0.04) or allergic reactions (p = 0.01). Although knowing how to register for vaccination increased by 3% over this time (p < 0.01), access to vaccination decreased by 12% (p < 0.01).
Table 5.
Changes in vaccine attitudes between July 2021 and September 2022.
| Survey Items | July 2021 % (n = 2525) a |
Sept 2022 % (n = 2546) a |
% Dif | p-Value b |
|---|---|---|---|---|
| Affirmative Responses To Survey Items c | ||||
| Vaccination and Disease Status | ||||
| Vaccinated against flu within the past year | 55.5 | 51.0 | −4.5 | 0.64 |
| Ever knowingly had COVID disease | 9.9 | 45.6 | 35.6 | <0.01 |
| Reasons to not get a COVID-19 vaccine d | ||||
| I do not think I am at risk of getting COVID-19 | 36.3 | 19.1 | −17.2 | 0.22 |
| I do not think I would get very sick if I got COVID-19 | 33.4 | 35.3 | 1.9 | 0.27 |
| I do not believe COVID-19 is any worse than the seasonal flu | 36.8 | 33.9 | −2.9 | 0.11 |
| I do not think the COVID-19 vaccines are likely to protect me from COVID-19 | 49.6 | 42.9 | −6.8 | 0.23 |
| I am worried about the safety of COVID-19 vaccines | 86.7 | 68.3 | −18.4 | 0.06 |
| I do not like needles | 25.8 | 27.0 | 1.2 | 0.76 |
| I do not trust how the vaccine was developed | 71.0 | 59.9 | −11.0 | 0.27 |
| I do not trust the pharmaceutical companies that have developed the vaccine | 56.1 | 54.6 | −1.5 | 0.99 |
| I do not believe that the government is acting in my or my family’s best interest | 68.4 | 57.2 | −11.2 | 0.62 |
| I do not have access to where vaccines are being given | 1.3 | 13.6 | 12.3 | <0.01 |
| I do not know how to register to get a vaccine | 13.4 | 10.1 | −3.4 | <0.01 |
| I know how to register to get a vaccine but it is too difficult | 6.7 | 5.0 | −1.7 | 0.79 |
| My friends and/or family do not want to get the vaccine | 26.9 | 15.1 | −11.8 | 0.39 |
| I have seen posts on social media that make me wary of the vaccine | 46.4 | 32.7 | −13.6 | 0.01 |
| I want to wait to see what happens to others | 70.0 | 45.2 | −24.9 | <0.01 |
| I need more time to learn and think more about it | 60.3 | 38.4 | −21.9 | 0.02 |
| Concerns regarding COVID-19 vaccines e | ||||
| How fast COVID-19 vaccines were developed and made available to the public | 93.7 | 82.9 | −10.7 | 0.23 |
| COVID-19 vaccines are new | 92.2 | 75.6 | −16.7 | 0.12 |
| A lot of people who get the vaccine feel tired, achy, and get headaches and fever the next day | 82.5 | 57.8 | −24.7 | 0.04 |
| Some people have bad allergic reactions to COVID-19 vaccines | 93.4 | 62.2 | −31.2 | 0.01 |
| I am not sure the ingredients in COVID-19 vaccines are safe | 93.4 | 74.1 | −19.2 | 0.10 |
| COVID-19 vaccines are made from mRNA | 83.3 | 54.9 | −28.3 | 0.02 |
| COVID-19 vaccines might change my DNA | 54.1 | 41.9 | −12.2 | 0.57 |
| COVID-19 vaccines might affect my fertility or ability to have children | 54.7 | 42.9 | −11.8 | 0.31 |
| There may be side effects to the COVID-19 vaccine that have not been figured out yet | 98.2 | 86.8 | −11.5 | 0.08 |
| There were not enough people of my race/ethnicity who were a part of the vaccine studies | 35.3 | 37.2 | 1.9 | 0.97 |
| They are experimenting on people with the COVID-19 vaccine | 80.3 | 72.2 | −8.1 | 0.68 |
| The drug companies are making a lot of money off of COVID-19 vaccines | 73.1 | 74.8 | 1.7 | 0.97 |
| Some COVID-19 vaccines are made from aborted fetuses | 62.9 | 51.9 | −10.9 | 0.38 |
| Confidence in sources for information about COVID-19 | ||||
| My doctor | 81.5 | 85.4 | 3.8 | 0.31 |
| My local or state health department | 72.9 | 74.2 | 1.4 | 0.95 |
| Scientists and doctors from the Centers for Disease Control and Prevention (CDC) | 72.4 | 69.4 | −3.0 | 0.80 |
| The Surgeon General | 68.1 | 68.5 | 0.4 | 0.99 |
| Scientists and doctors from universities | 75.3 | 71.9 | −3.3 | 0.79 |
| Dr. Anthony Fauci from the National Institutes of Health | 61.3 | 63.7 | 2.4 | 0.84 |
| Dr. Rochelle Walensky, CDC Director | 64.7 | 61.1 | −3.6 | 0.78 |
| Dr. David Satcher, Morehouse School of Medicine, Former CDC Director and Surgeon General | 64.7 | 61.8 | −2.9 | 0.80 |
| My religious leader | 39.2 | 30.5 | −8.7 | 0.09 |
| Other non-medical people in my community that I trust (specify) | 31.7 | 34.7 | 2.9 | 0.52 |
| What I see on the news | 42.9 | 33.0 | −10.0 | 0.14 |
| What I see on social media (Facebook, Twitter, etc.) | 12.0 | 11.2 | −0.8 | 0.63 |
| Agreement With Other COVID-19 Likert Scale Items (For Adults) | ||||
| I am worried I may accidentally spread COVID-19 to my family members in the next six months | 25.1 | 30.1 | 5.0 | 0.38 |
| I am worried I may accidentally spread COVID-19 to my friends, neighbors, or co-workers in the next six months | 21.7 | 27.1 | 5.4 | 0.34 |
| If I get COVID-19, I think it will be severe | 22.6 | 15.3 | −7.3 | 0.02 |
| COVID-19 vaccines are important to stopping the spread of infection in the US | 87.5 | 77.0 | −10.4 | <0.01 |
| COVID-19 vaccines are important to helping the US get back to a normal life | 87.4 | 75.7 | −11.6 | <0.01 |
| Most or all of my family members have gotten vaccinated against COVID-19 | 61.2 | 66.7 | 5.5 | 0.57 |
| Most or all of my friends have gotten vaccinated against COVID-19 | 60.9 | 61.6 | 0.8 | 0.45 |
| Agreement With General Vaccine Likert Scale Items | ||||
| I am confident in the safety of vaccines | 84.4 | 81.7 | −2.7 | 0.21 |
| I do not trust a vaccine unless it has already been safely given to millions of other people | 41.8 | 41.8 | −0.1 | 0.21 |
| I am concerned about some of the ingredients in vaccines | 44.7 | 44.0 | −0.7 | 0.53 |
| Vaccine recommendations from the Centers for Disease Control and Prevention (CDC) are a good fit for me | 79.4 | 72.3 | −7.1 | 0.16 |
| I am concerned that the government and drug companies experiment on people like me | 42.1 | 39.2 | −2.9 | 0.78 |
| The benefits of vaccines are much bigger than their risks | 84.3 | 80.1 | −4.3 | 0.18 |
Red text indicates survey items assessing negative vaccine attitudes. a Column percentages (of corresponding sample), weighted for national representativeness; b using the Pearson chi-square test (significance level of alpha = 5%); c Likert scale response options (strongly agree, agree, disagree, strongly disagree) were dichotomized to agree/disagree, results for agreement shown; other scale response options were dichotomized to reflect affirmative/negative, results for affirmative shown; d asked only to respondents not yet up-to-date on COVID-19 vaccines and not definitely planning to soon become up-to-date on COVID-19 vaccines; e asked only to respondents worried or uncertain about the safety of COVID-19 vaccines.
4. Discussion
Although 85% of the weighted sample reported receiving at least one dose of a COVID-19 vaccine, fewer than two-thirds (63%) reported being up-to-date on their COVID-19 vaccines. These rates correspond to CDC data, which estimated that 87% of US adults had received at least one dose as of September 2022 [6], but are substantially higher than the rates reported by the Kaiser Family Foundation (KFF), which estimated that 77% of US adults had received at least one dose and 47% were up-to-date as of September 2022 [27].
The CDC now considers adults “up-to-date” if they have received at least one dose of the updated bivalent COVID-19 vaccine [28,29]. However, at the time of this survey (the beginning of September 2022), “up-to-date” was considered to mean fully vaccinated (with a primary series) and boosted, without specifying that the booster should be the most recent version, since the updated bivalent booster had just been authorized and was not yet widely available [12]. This makes the timing of our data on being “up-to-date” particularly interesting, as it captures the proportion of the US adult population having received a monovalent booster dose just prior to it becoming obsolete. Similarly, we report the intentions, concerns, and reasons for not vaccinating among those who had not yet received any booster by the time the updated bivalent boosters became available.
The CDC no longer reports vaccine coverage for those receiving any booster dose, specifying only those who have received the updated bivalent booster dose. As of 23 March 2023, only about one-fifth (20%) of US adults had received the updated booster and were, thus, “up-to-date”. This highlights the substantial decline in coverage with the bivalent booster compared to the initial monovalent booster.
COVID-19 vaccines will likely continue to be periodically updated to maintain protection against new variants that arise. We must, therefore, continue to regularly characterize those not “up-to-date” and strive to improve upon coverage with updated boosters to maximize protection and reduce suffering.
Although 42% of those not yet up-to-date in our September 2022 survey reported being unlikely to ever get up-to-date, 12% likely would, and 46% were uncertain. This indicates that the majority of those not up-to-date were still considering it at this time. This remained true even after the widespread introduction of the bivalent booster; National Immunization Survey Adult COVID Module (NIS-ACM) data from November and December of 2022 showed that among US adults who finished their COVID-19 primary series, 27% had gotten a bivalent booster, 39% had not yet gotten a bivalent booster but were open to it, 12% were uncertain about getting a bivalent booster, and 21% were reluctant to get a bivalent booster [30]. This demonstrates the continued need to reach those who are vaccinated but not yet up-to-date, the majority of whom have not ruled out receiving the updated booster and, thus, perhaps just need additional information, motivation, or convenience before doing so.
Similar to our previous surveys [21], data from this survey strongly associate being up-to-date on COVID-19 vaccines with sociodemographic characteristics, such as younger age, less education, lower income, being a parent, living in the southern or midwestern regions of the US, living in a non-metro area, and identifying as Republican. This suggests continued clustering of under-vaccinated persons both geographically and socially. Communities with low vaccine coverage have fueled outbreaks of other vaccine-preventable diseases, such as measles and pertussis, despite relatively high coverage nationally [31], and should be prioritized for vaccination campaigns.
Despite similar vaccine coverage by race/ethnicity, Hispanic and Black Americans not yet up-to-date were more likely than white Americans to remain open to getting up-to-date and report reasons to vaccinate, and less likely than white Americans to report most specific concerns and other reasons not to vaccinate. The most prevalent concerns among those not yet up-to-date on COVID-19 vaccines remained their newness and safety, as well as suspicion of pharmaceutical companies and government. More than half of those uncertain about getting up-to-date believed vaccines to be important to fighting the pandemic, but nearly half believed vaccines unlikely to protect them against new variants. Outreach and messaging should support decision-making among the uncertain by emphasizing the efficacy of updated boosters against currently circulating strains and addressing concerns in an empathetic and comprehensible manner.
Interestingly, perceived COVID-19 disease severity was not associated with being up-to-date. This may be related to perceived vaccine efficacy; that is, those up-to-date on their COVID-19 vaccines felt protected against COVID-19 disease and, thus, expected mild symptoms if they had a breakthrough case. We only measured perceived vaccine efficacy among those not yet up-to-date; however, we found it strongly associated with intentions to get up-to-date, which is a good proxy for being up-to-date.
Many vaccine attitudes did not change between our July 2021 and September 2022 survey waves, but those that did are likely interrelated. As COVID-19 disease prevalence increased, perceived disease severity decreased, which makes sense due to the corresponding increase in natural immunity after infection, as well as the increase in contagiousness but decrease in severity of the Omicron variant, which had emerged in November 2021 and quickly became the primary variant in circulation [32]. Although certain vaccine concerns decreased (such as immediate side effects and allergic reactions), the perceived importance of vaccination in ending the pandemic also decreased, likely due to the cumulative lived experience of knowing people who vaccinated safely yet seeing the pandemic prolonged in spite of vaccination. Worryingly, access to vaccination decreased by 12% in this timeframe. Access also remains inequitable; Black and Hispanic Americans were 2–4 times more likely than white Americans to report not having access to vaccines, not knowing how to register for vaccination, and finding it too difficult to register. Continued, consistent, easy, and equitable access to vaccination should be reprioritized to increase the likelihood of achieving high coverage with updated boosters.
Most (86%) of our survey respondents trusted their own doctor for COVID-19 information, even among those uncertain about getting up-to-date (80%), and without significant differences by race/ethnicity. This is reflected in the literature; doctors have been the most credible and frequently used source of vaccine information for a long time [33], and a recommendation from one’s doctor to vaccinate is a strong predictor of uptake for COVID-19 [21,34,35] and other vaccines [36,37]. Unvaccinated providers are far less likely to recommend vaccinating to their patients and harbor many of the same concerns as the public [35]. This reinforces the need to prioritize distributing updated resources to healthcare providers as new variants and boosters arise, to aid both in their own vaccine decision-making and in their efforts to support their patients’ decision-making.
The main limitation of this study is its cross-sectional nature; it provides a snapshot at a single point in time. However, the survey was well-timed to capture a critical time in the pandemic, measuring vaccination status immediately following authorization of the new bivalent boosters. We also made some interesting comparisons to one of our earlier surveys which also recruited participants from the Ipsos KnowledgePanel. Our data are subject to the limitations of self-reporting, and the estimates presented are unadjusted for contextual factors.
Some findings from this study may not be generalizable to countries other than the US. For example, studies have found higher income to be associated with increased vaccine hesitancy in other countries, such as Slovenia [38] and Australia [39], while our study found the opposite. Such divergences by country are likely due both to confounding effects within sociodemographic factors and differences in specific political climates between countries. The political polarization of COVID-19 vaccines in the US has greatly increased vaccine hesitancy among Republicans, who make up higher proportions of the country’s rural low-income populations. Thus, current associations between income and vaccine hesitancy in the US may be largely due to confounding by political affiliation, and the confounding effects of sociodemographic factors on each other may vary by country.
Despite much publicly available survey data assessing attitudes about COVID-19 vaccines, many analyses have not undergone peer review, and their quality varies (especially in terms of internal and external validity). This study is strengthened by the rigorous work put into our survey instrument and analyses, the quality of Ipsos KnowledgePanel as a well-established nationally representative panel, and the oversampling of Black and Hispanic populations to have power for more precise estimates when stratifying or comparing by race/ethnicity.
This precise characterization of vaccine intentions, attitudes, and values of those not yet up-to-date in September 2022 is meant to aid public health authorities at all levels in their efforts to support public vaccine decision-making through communication and outreach programs. Immunization programs should reprioritize convenient and free access to vaccines, especially in communities with low coverage. Messaging should emphasize the safety and efficacy of COVID-19 vaccines, explain how these vaccines were created so quickly, and remind people of the remaining threat of the disease. Messages may be more trusted coming from sources other than government and industry, such as local healthcare providers. Public health immunization programs must improve the uptake of updated boosters against new variants of COVID-19 to effectively control this evolving virus, with renewed efforts to support the decision-making of those uncertain about getting up-to-date.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm12123932/s1, Table S1: Composition and properties of construct scales, Table S2: Odds ratios for intentions to get up-to-date on COVID-19 vaccinations by vaccine attitudes, trust in the CDC, and sociodemographic characteristics, Figure S1: Inclusion and exclusion of participants.
Author Contributions
Conceptualization, M.Z.D. and D.A.S.; methodology, M.Z.D., H.B.S., J.S. and D.A.S.; formal analysis, M.Z.D.; data curation, M.Z.D.; writing—original draft preparation, M.Z.D.; writing—review and editing, M.Z.D., H.B.S., J.S. and D.A.S.; supervision, D.A.S.; project administration, M.Z.D., H.B.S. and D.A.S.; funding acquisition, M.Z.D. and D.A.S. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
This work was considered public health surveillance and not human subject research by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board.
Informed Consent Statement
This work was considered public health surveillance and not human subject research by the Johns Hopkins Bloomberg School of Public Health Institutional Review Board. Participants were members of the Ipsos KnowledgePanel and gave their consent to be surveyed.
Data Availability Statement
Deidentified individual participant data will not be made available.
Conflicts of Interest
Matthew Dudley has received research support from Merck. Daniel Salmon has received research support from Merck and serves on advisory boards for Merck, Janssen, Sanofi, and Moderna. Matthew Dudley and Daniel Salmon have received funding from the Vaccination Confidence Fund, which is jointly funded by Facebook and Merck. Holly Schuh served as a (paid) health advisor to the University of Roehampton that provided guidance on recovery-building and future pandemic preparedness (including views on vaccines/vaccination) and understanding citizen engagement in the G7 in 2021–22 (during the presented study). Jana Shaw serves as a consultant to Pfizer on meningococcal B vaccine. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.
Funding Statement
This work was supported in part by a research grant from the Investigator-Initiated Studies Program of Merck Sharp & Dohme LLC. The opinions expressed in this paper are those of the authors and do not necessarily represent those of Merck Sharp & Dohme LLC. Merck Sharp & Dohme LLC was not involved in any aspects of the study, including study design, data collection, analyses, and interpretation, writing of the research article, and in the decision to submit the article for publication.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Food and Drug Administration . FDA Takes Key Action in Fight against COVID-19 by Issuing Emergency Use Authorization for First COVID-19 Vaccine. Food and Drug Administration; Silver Spring, MD, USA: 2020. [Google Scholar]
- 2.Food and Drug Administration . FDA Takes Additional Action in Fight against COVID-19 by Issuing Emergency Use Authorization for Second COVID-19 Vaccine. Food and Drug Administration; Silver Spring, MD, USA: 2020. [Google Scholar]
- 3.Food and Drug Administration . FDA Issues Emergency Use Authorization for Third COVID-19 Vaccine. Food and Drug Administration; Silver Spring, MD, USA: 2021. [Google Scholar]
- 4.Oliver S.E., Wallace M., See I., Mbaeyi S., Godfrey M., Hadler S.C., Jatlaoui T.C., Twentyman E., Hughes M.M., Rao A.K., et al. Use of the Janssen (Johnson & Johnson) COVID-19 Vaccine: Updated Interim Recommendations from the Advisory Committee on Immunization Practices—United States, December 2021. MMWR. Morb. Mortal. Wkly. Rep. 2022;71:90–95. doi: 10.15585/mmwr.mm7103a4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Food and Drug Administration . Coronavirus (COVID-19) Update: FDA Authorizes Emergency Use of Novavax COVID-19 Vaccine, Adjuvanted. Food and Drug Administration; Silver Spring, MD, USA: 2022. [Google Scholar]
- 6.Centers for Disease Control and Prevention . COVID Data Tracker. Centers for Disease Control and Prevention; Atlanta, GA, USA: 2022. [Google Scholar]
- 7.Centers for Disease Control and Prevention Variants of the Virus. [(accessed on 27 March 2023)]; Available online: https://www.cdc.gov/coronavirus/2019-ncov/variants/index.html.
- 8.Lopez Bernal J., Andrews N., Gower C., Gallagher E., Simmons R., Thelwall S., Stowe J., Tessier E., Groves N., Dabrera G., et al. Effectiveness of COVID-19 Vaccines against the B.1.617.2 (Delta) Variant. & newbsp. N. Engl. J. Med. 2021;385:585–594. doi: 10.1056/nejmoa2108891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nasreen S., Chung H., He S., Brown K.A., Gubbay J.B., Buchan S.A., Wilson S.E., Sundaram M.E., Fell D.B., Chen B., et al. Effectiveness of mRNA and ChAdOx1 COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontario. Nat. Microbiol. 2021;7:379–385. doi: 10.1038/s41564-021-01053-0. [DOI] [PubMed] [Google Scholar]
- 10.Scobie H.M., Johnson A.G., Suthar A.B., Severson R., Alden N.B., Balter S., Bertolino D., Blythe D., Brady S., Cadwell B., et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status—13 U.S. Jurisdictions, 4 April–17 July 2021. MMWR. Morb. Mortal. Wkly. Rep. 2021 April 4;70:1284–1290. doi: 10.15585/mmwr.mm7037e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Food and Drug Administration . FDA Authorizes Booster Dose of Pfizer-BioNTech COVID-19 Vaccine for Certain Populations. Food and Drug Administration; Silver Spring, MD, USA: 2021. [Google Scholar]
- 12.Food and Drug Administration . Coronavirus (COVID-19) Update: FDA Authorizes Moderna, Pfizer-BioNTech Bivalent COVID-19 Vaccines for Use as a Booster Dose. Food and Drug Administration; Silver Spring, MD, USA: 2022. [Google Scholar]
- 13.Dudley M.Z., Bernier R., Brewer J., Salmon D.A. Walking the Tightrope: Reevaluating science communication in the era of COVID-19 vaccines. Vaccine. 2021;39:5453–5455. doi: 10.1016/j.vaccine.2021.08.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.World Health Organization . Pandemic Fatigue—Reinvigorating the Public to Prevent COVID-19: Policy Framework for Supporting Pandemic Prevention and Management. World Health Organization; Geneva, Switzerland: 2020. [Google Scholar]
- 15.Salmon D.A., Dudley M.Z., Glanz J.M., Omer S.B. Vaccine hesitancy: Causes, consequences, and a call to action. Vaccine. 2015;33((Suppl. S4)):D66–D71. doi: 10.1016/j.vaccine.2015.09.035. [DOI] [PubMed] [Google Scholar]
- 16.Dudley M.Z., Limaye R.J., Omer S.B., O’leary S.T., Ellingson M., Spina C.I., Brewer S.E., Chamberlain A.T., Bednarczyk R.A., Malik F., et al. Characterizing the vaccine knowledge, attitudes, beliefs, and intentions of pregnant women in Georgia and Colorado. Hum. Vaccines Immunother. 2020;16:1109–1117. doi: 10.1080/21645515.2020.1717130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Dudley M.Z., Limaye R.J., Salmon D.A., Omer S.B., O’leary S.T., Ellingson M.K., Spina C.I., Brewer S.E., Bednarczyk R.A., Malik F., et al. Racial/Ethnic Disparities in Maternal Vaccine Knowledge, Attitudes, and Intentions. Public Health Rep. 2021;136:699–709. doi: 10.1177/0033354920974660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Freed G.L., Clark S.J., Butchart A.T., Singer D.C., Davis M.M. Parental vaccine safety concerns in 2009. Pediatrics. 2010;125:654–659. doi: 10.1542/peds.2009-1962. [DOI] [PubMed] [Google Scholar]
- 19.Salmon D.A., Dudley M.Z., Brewer J., Kan L., Gerber J.E., Budigan H., Proveaux T.M., Bernier R., Rimal R., Schwartz B. COVID-19 vaccination attitudes, values and intentions among United States adults prior to emergency use authorization. Vaccine. 2021;39:2698–2711. doi: 10.1016/j.vaccine.2021.03.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Zapf A.J., Schuh H., Rimal R., Harvey S.A., Shaw J., Balgobin K., Salmon D.A. Knowledge, Attitudes, and Intentions Regarding COVID-19 Vaccination in the General Population and the Effect of Different Framing Messages for a Brief Video on Intentions to Get Vaccinated among Unvaccinated Individuals in the United States during July 2021. Available at Social Sciences Research Network (SSRN) [(accessed on 15 March 2023)]. Available online: https://ssrn.com/abstract=4152703. [DOI] [PubMed]
- 21.Dudley M.Z., Schwartz B., Brewer J., Kan L., Bernier R., Gerber J.E., Ni H.B., Proveaux T.M., Rimal R.N., Salmon D.A. COVID-19 Vaccination Status, Attitudes, and Values among US Adults in September 2021. J. Clin. Med. 2022;11:3734. doi: 10.3390/jcm11133734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ipsos. KnowledgePanel. [(accessed on 20 January 2021)]. Available online: https://www.ipsos.com/en-us/solutions/public-affairs/knowledgepanel.
- 23.Holroyd T.A., Limaye R.J., Gerber J.E., Rimal R.N., Musci R.J., Brewer J., Sutherland A., Blunt M., Geller G., Salmon D.A. Development of a Scale to Measure Trust in Public Health Authorities: Prevalence of Trust and Association with Vaccination. J. Health Commun. 2021;26:272–280. doi: 10.1080/10810730.2021.1927259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rosenstock I.M. Historical Origins of the Health Belief Model. Health Educ. Monogr. 1974;2:328–335. doi: 10.1177/109019817400200403. [DOI] [Google Scholar]
- 25.Kumar S., Quinn S.C., Kim K.H., Musa D., Hilyard K.M., Freimuth V.S. The Social Ecological Model as a Framework for Determinants of 2009 H1N1 Influenza Vaccine Uptake in the United States. Health Educ. Behav. 2011;39:229–243. doi: 10.1177/1090198111415105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.StataCorp LLC STATA. [(accessed on 20 January 2021)]. Available online: https://www.stata.com/
- 27.Sparks G., Lopes L., Hamel L., Montero A., Presiado M., Brodie M. KFF COVID-19 Vaccine Monitor: September 2022. Kaiser Family Foundation; Oakland, CA, USA: 2022. [Google Scholar]
- 28.Centers for Disease Control and Prevention Stay Up to Date with COVID-19 Vaccines Including Boosters. [(accessed on 2 May 2023)]; Available online: https://www.cdc.gov/coronavirus/2019-ncov/vaccines/stay-up-to-date.html.
- 29.Food and Drug Administration . Coronavirus (COVID-19) Update: FDA Authorizes Changes to Simplify Use of Bivalent mRNA COVID-19 Vaccines. Food and Drug Administration; Silver Spring, MD, USA: 2023. [Google Scholar]
- 30.Lu P.-J., Zhou T., Santibanez T.A., Jain A., Black C.L., Srivastav A., Hung M.-C., Kriss J.L., Schorpp S., Yankey D., et al. COVID-19 Bivalent Booster Vaccination Coverage and Intent to Receive Booster Vaccination Among Adolescents and Adults—United States, November–December 2022. MMWR. Morb. Mortal. Wkly. Rep. 2023;72:190–198. doi: 10.15585/mmwr.mm7207a5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Phadke V.K., Bednarczyk R., Salmon D., Omer S.B. Association Between Vaccine Refusal and Vaccine-Preventable Diseases in the United States: A Review of Measles and Pertussis. JAMA. 2016;315:1149–1158. doi: 10.1001/jama.2016.1353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Centers for Disease Control and Prevention Omicron Variant: What You Need to Know. [(accessed on 13 December 2021)]; Available online: https://www.cdc.gov/coronavirus/2019-ncov/variants/omicron-variant.html.
- 33.Dudley M.Z., A Halsey N., Omer S.B., Orenstein W.A., O’Leary S.T., Limaye R.J., A Salmon D. The state of vaccine safety science: systematic reviews of the evidence. Lancet Infect. Dis. 2020;20:e80–e89. doi: 10.1016/S1473-3099(20)30130-4. [DOI] [PubMed] [Google Scholar]
- 34.Nguyen K.H., Yankey D., Lu P.-J., Kriss J.L., Brewer N.T., Razzaghi H., Meghani M., Manns B.J., Lee J.T., Singleton J.A. Report of Health Care Provider Recommendation for COVID-19 Vaccination Among Adults, by Recipient COVID-19 Vaccination Status and Attitudes—United States, April–September 2021. MMWR. Morb. Mortal. Wkly. Rep. 2021;70:1723–1730. doi: 10.15585/mmwr.mm7050a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Dudley M.Z., Schuh H.B., Shaw J., Rimal R.N., Harvey S.A., Balgobin K.R., Zapf A.J., Salmon D.A. COVID-19 vaccination among different types of US Healthcare Personnel. Vaccine. 2023;41:1471–1479. doi: 10.1016/j.vaccine.2023.01.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Limaye R.J., Opel D.J., Dempsey A., Ellingson M., Spina C., Omer S.B., Dudley M.Z., Salmon D.A., O’Leary S.T. Communicating with Vaccine-Hesitant Parents: A Narrative Review. Acad. Pediatr. 2021;21:S24–S29. doi: 10.1016/j.acap.2021.01.018. [DOI] [PubMed] [Google Scholar]
- 37.Ellingson M., Dudley M.Z., Limaye R.J., Salmon D.A., O’leary S.T., Omer S.B. Enhancing uptake of influenza maternal vaccine. Expert Rev. Vaccines. 2019;18:191–204. doi: 10.1080/14760584.2019.1562907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kirbiš A. The Impact of Socioeconomic Status, Perceived Threat and Healthism on Vaccine Hesitancy. Sustainability. 2023;15:6107. doi: 10.3390/su15076107. [DOI] [Google Scholar]
- 39.Swaney S.E., Burns S. Exploring reasons for vaccine-hesitancy among higher-SES parents in Perth, Western Australia. Health Promot. J. Aust. Off. J. Aust. Assoc. Health Promot. Prof. 2018;30:143–152. doi: 10.1002/hpja.190. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Deidentified individual participant data will not be made available.
