Abstract
Vaccine hesitancy in the US throughout the pandemic has revealed inconsistent results. This systematic review has compared COVID-19 vaccine uptake across US and investigated predictors of vaccine hesitancy and acceptance across different groups. A search of PUBMED database was conducted till 17th July, 2021. Articles that met the inclusion criteria were screened and 65 studies were selected for a quantitative analysis. The overall vaccine acceptance rate ranged from 12 to 91.4%, the willingness of studies using the 10-point scale ranged from 3.58 to 5.12. Increased unwillingness toward COVID-19 vaccine and Black/African Americans were found to be correlated. Sex, race, age, education level, and income status were identified as determining factors of having a low or high COVID-19 vaccine uptake. A change in vaccine acceptance in the US population was observed in two studies, an increase of 10.8 and 7.4%, respectively, between 2020 and 2021. Our results confirm that hesitancy exists in the US population, highest in Black/African Americans, pregnant or breastfeeding women, and low in the male sex. It is imperative for regulatory bodies to acknowledge these statistics and consequently, exert efforts to mitigate the burden of unvaccinated individuals and revise vaccine delivery plans, according to different vulnerable subgroups, across the country.
Keywords: COVID-19 vaccines, severe acute respiratory coronavirus 2 (SARS-CoV-2), vaccine hesitancy, vaccine acceptance, United States, intent to vaccinate
Introduction
Vaccines are critical in lowering disease-specific mortality rates (1) and the long-standing control of the COVID-19 pandemic is pivoted upon the development and uptake of the vaccine (2). Vaccines currently recommended and authorized in the US are BNT162b2 (Pfizer-BioNTech), mRNA-1273 (Moderna), Johnson & Johnson/Janssen (3) with the challenge now shifting from finding an effective cure to ensuring its implementation (4).
The US Centers for Disease Control and Prevention acclaims vaccination as one of the leading success stories of public health in the twentieth century (1) and a similar feat is now being aimed for the novel coronavirus. As part of Operation Warp Speed, the US administration alongside manufacturers and developers exerted efforts and by January 2021, hoped to deliver 300 million doses of a safe and effective vaccine for COVID-19 (5). By mid-January 2021, there were around 13 million persons who had COVID-19 vaccine initiated in the US (6) and while these numbers were promising, the vaccination process has been met with an undesirable, although not unusual, phenomenon well-known as “vaccine hesitancy.” Defined by the World Health Organization as “the delay in the acceptance or refusal to vaccinate despite the availability of vaccine services” (7), the term vaccine “hesitant” is preferred over “pro” and “anti” vaccination to avoid polarization and, as it insinuates that the minds can be persuaded toward acceptance (8).
Since the inception of vaccines in medical practice in the 1800s (9), the public has not always concurred to getting vaccinated albeit many people have complied in face of apparent death and indisposition (1). Frequent outbreak of vaccine-preventable diseases in the US, such as 1,282 confirmed cases of measles in the United States in 2019 (8), can be ascribed to reduced vaccination and hence vaccine hesitancy, the latter ranked by the WHO as the top threat to global health in 2019 (1).
According to a global study, 72% of people would take the COVID-19 vaccine if deemed safe and effective, but willingness varies between countries (10). When studied under the framework of the 5C model of psychological antecedents that drive vaccine acceptance: confidence, constraints, complacency, calculation, and collective responsibility, the US population indicated 54% vaccine acceptance, a value that divulges vaccine skepticism (11). The US population has demonstrated inconsistent results over the period as between April 1–14 and November 25–December 8, 2020, the percentage who stated they were somewhat or very likely to get vaccinated declined from 74 to 56% (12). The percentage of US adults intending to get vaccinated has seen a u-shaped pattern with results showing changes between September and December 2020, which correspond to pre-authorization and post-authorization dates in the US, respectively (7). Conversely, another national representative survey revealed the vaccine hesitancy to have a longitudinal decline of 10.8% points between October 2020 and March 2021 (13).
COVID-19 vaccine receptivity in the US has varied between states and subgroups. In mid-October 2020, acceptance rates ranged from 38% in the Northeast to 49% in the West (14). Vaccine hesitancy in the general population has been correlated with certain factors including gender, age, race, socioeconomic status, education level, and US-based surveys disclose important findings. Women have lower intentions than men to be vaccinated (14) and as of a study from April to December 2020, the self-reported likelihood of getting COVID-19 vaccination was lower among females than males (51 vs. 62%) (12).
The cohort comprising of vaccine-hesitant individuals can be large enough to diminish the COVID-19 vaccine's potential to provide population immunity (15). Impediments to vaccination involve concerns including fear of side effects, inadequate information, short duration of immunity (14) forgoing vaccination due to lack of insurance or financial resources (16). Safety and effectiveness of the vaccine are the most pivotal detriments of hesitancy (4) while for some, especially marginalized factions, dissatisfaction with the health system owing to past experiences of discrimination, systematic racism deters them from vaccination (17).
Vaccine hesitancy is not a singular problem but attributed to various underlying causes that differ across time and communities (1). Recent results have shown somewhat reduced hesitancy, corresponding to the dates of vaccine approval and mass roll-out (13) and it is speculated that as the pandemic becomes more “real” to the Americans, vaccine acceptance can improve. Being one of the representative countries hardest hit by COVID-19, estimating vaccine hesitancy in the U.S could be important for future vaccine promotion and herd immunity (18). This systematic review aims to broaden the scope of discussion by studying factors coupled with vaccine hesitancy in the US population and the study's findings will be beneficial not only for COVID-19 vaccination coverage but also improving the existing healthcare system's preparedness for routine and emergency vaccination. Furthermore, our results will be imperative in helping strategize policies for tackling antagonism and for developing a thorough vaccine delivery plan.
Methods
The review was performed following PRISMA guidelines. Papers published in MEDLINE (PubMed), Cochrane library, and Google Scholar assessing COVID-19 vaccine hesitancy/vaccine uptake/ vaccine acceptance in the English language were eligible for inclusion in the review. The inclusion criteria were: (1) peer-reviewed published articles indexed in PubMed; (2) survey studies among the general population, healthcare workers, minority and religious communities, students, or patients (3) the major aim of the study was to evaluate COVID-19 vaccine acceptance/uptake/hesitancy in the US population only and (4) publication language was English. The exclusion criteria were: (1) the article did not aim to evaluate COVID-19 vaccine acceptance/hesitancy/uptake in the US population; (2) publication language was not English.
A search was carried out till 17th July 2021 using the following search strategy: (COVID * vaccine * hesitancy [Title/Abstract]) OR (COVID * vaccine acceptance [Title/Abstract])) OR (COVID * vaccine * hesitancy [Title/Abstract])) OR (COVID * intention to vaccinate * [Title/Abstract]) OR (COVID vaccine * accept *[Title/Abstract]).
Articles were screened by abstracts and titles. Studies shortlisted were cohort studies and cross-sectional studies that assessed COVID-19 vaccine acceptance over a certain time period, specific for each study, respectively. Studies drew comparison between vaccine acceptance and vaccine hesitance in the population surveyed. After selection, data extraction for the following items was conducted: title and date of the study, study period/duration, the target population of the study (e.g., general public, students, healthcare workers, patients, religious groups, and minority groups), region of US where the study took place, population characteristics i.e., sample size, % female, mean age, % Whites, the definition of vaccine acceptance in the study, overall acceptance rate, acceptance rate by education level, factors relating to vaccine acceptance, and factors relating to vaccine hesitancy. Overall vaccine acceptance (%) was taken from each study as deduced, corresponding to the definition of vaccine acceptance presented in the study. A forest plot was also constructed using Microsoft Excel version 2018 to demonstrate the overall prevalence of COVID-19 vaccine acceptance in the United States.
Results
The search string provided in the Supplementary Material retrieved 784 records, of which 65 were included in the quantitative synthesis of observational studies on vaccine acceptance in the United States (US). Figure 1 illustrates the four-step selection process as per the PRISMA guidelines (19).
Characteristics of the Literature
The sample size of the selected studies ranged from 25 to 73,650, with a total of 3,13,998 individuals. Out of the 65 studies (67 surveys), 31 of them reported the study region, of which nine were conducted in New York City (NYC). Of the 50 studies reporting female sex %, 38 of them had a percentage >50. Acceptance was measured as somewhat likely, extremely likely, and willingness to take the vaccine. The majority of the surveys that reported race and ethnicity, had a predominant non-Hispanic white population. Vaccine acceptance was presented as percentages in 61 studies, whereas the remaining four studies reported means. Four of the studies used a point scale system to measure the likelihood of receiving the COVID-19 vaccine. Silva et al. (20) made use of a 10-point scale ranging from 1- extremely unlikely and 10- extremely likely, whereas Meier et al. (21), Rhodes et al. (22), and Dorman et al. (7) used a 7-point scale. Detailed studies characteristics are present in Table 1.
Table 1.
Study | Study period | Population type/Settings | Region | Sample size (N) | Female sex % | White population % | Acceptance rate % | Predictors of hesitance | Predictors of acceptance |
---|---|---|---|---|---|---|---|---|---|
Kobayashi et al. (23) | 13th−16th November 2020 | General | – | 661 | – | – | 90.00% | – | – |
Xiang et al. (24) | 1st December−7th January 2021 | Multiple sclerosis patients | Oregon and Southwest Washington | 410 | 23.90% | 89.50% | 70.10% | Unsure about its safety, developed rapidly/possible side effects | – |
Parente et al. (25) | 14th August−28th August 2020 | Employees or students at a medical centre | Kansas | 3,292 | 78.00% | 87.60% | 90.10% | Safety, side effects, Black/African American | – |
Garcia et al. (26) | 8th January−11th February 2021 | Dialysis center | – | 1,515 | 43.00% | 30.00% | 72.30% | Black/African American, females | – |
Thunstrom et al. (27) | March 2020 | General | – | 3,133 | – | – | 80.50% | Low trust in government agencies, females | – |
Kecojevic et al. (28) | February–March 2021 | Students | New Jersey | 352 | 73.60% | 49.50% | 52.80% | – | Older age, non-Hispanic white, previous illness, and family member vaccinated |
Yang et al. (29) | December–January 2021 | Used tobacco or marijuana | – | 387 | 53.50% | 74.90% | 49.10% | Black/African American | 75.9% of willing receive flu vaccine |
Carmody et al. (30) | 7th December−20th January 2021 | Orthodox Jewish | NYC | 102 | 87.00% | – | 12.00% | Natural infection to be better than vaccination for developing immunity | – |
Stoler et al. (31) | 4th−17th June, 2020 | General | – | 1,040 | – | – | 63.50% | Black/African American | Whites |
Serper et al. (32) | 13th−23rd December 2020 | Chronic disease patients | Philadelphia, Pennsylvania | 1,215 | 50.00% | 86.50% | 85.00% | Females, Black/African American, lower-income, and younger age | – |
Willis et al. (15) | July–August 2020 | General | Arkansas | 1,205 | 75.23% | 76.37% | 78.14% | Black/African American | – |
Lindholt et al. (11) | 13th September 2020–16th February 2021 | General | – | 3,500 | – | – | 54.00% | – | – |
Nikolovski et al. (33) | 6th−20th November 2020 | General | – | 7,402 | 46.20% | 91.80% | 91.30% | Concerns about its safety and efficacy. Females, Black/African American | – |
Thompson et al. (34) | June–December 2020 | General | Michigan | 1,835 | 79% | 52% | 48% | Black/African American | – |
Ou et al. (35) | 11th November−2nd December 2020 | Solid organ transplant recipients and non-SOTRs | – | 2,925 | 61.10% | 73.20% | 56.10% | Lead to organ transplant rejection | |
Theis et al. (36) | November 2020–January 2021 | Individuals associated with Wright-Patterson Air Force Base | Dayton, Ohio | 816 | – | – | 77.33% | Side effects, and the spread of misinformation | – |
Ciardi et al. (37) | 10th December 2020–5th January 2021 | Healthcare workers | The Bronx, New York City, NY | 428 | 65% | 24% | 64% | – | – |
Liu et al. (18) | 29th January−13th February 2021 | General | – | 3,702 | 51.80% | – | 72.20% | Efficacy of COVID-19 vaccines, cost of vaccination | – |
Gatwood et al. (38) | 3rd−18th June 2020 | General | Tennessee | 1,000 | 51% | 80.10% | 45.90% | Effectiveness, perceived lack of disease risk, and vaccine safety concerns | – |
Tsapepas et al. (39) | March 2021 | Kidney and pancreas transplant recipients in New York City | New York City, NY | 664 | 42.77% | 27.26% | 31.63% | Younger age, Black/African American, medium level of poverty, safety in transplant recipients | – |
Bass et al. (17) | 15th May−6th July 2020 | General | Miami, FL, New York City, NY, San Francisco, CA | 501 | 36.00% | 24.00% | 87.00% | Younger age, females high school education, lower-income, Black/African American | – |
Johnson et al. (40) | 15th September−4th December 2020 | General | Louisiana | 248 | 57% | (Black 65.2%) | 32.66% | Side effects, females, Black/African American, high school, older age | – |
Daly et al. (13) | October 2020 | General | – | 6,016 | - | - | 54.00% | Younger age Females. Black/African American, Lower-income | – |
Daly et al. (13) | 1st March 2021 | General | – | 6,035 | – | – | 64.80% | Younger age, Females, Black/African American, Lower-income | – |
Mascarenhas et al. (41) | 2020 | Dental students | Michigan, Florida, and Utah | 248 | 58% | 55.50% | 83.70% | – | – |
Marquez et al. (42) | 28th September−10th November 2020 | Caregivers whose children were being treated in the dental clinic at Cincinnati Children's Hospital Medical Center | Cincinnati, Ohio | 99 | 83.50% | 72.90% | 60.80% | – | – |
Sutton et al. (43) | 7th−29th January 2021 | All women at the Department of Obstetrics and Gynecology, Columbia University Medical Center | New York City, NY | 1,012 | 100% | 46.90% | 61% | Pregnant | Non-pregnant |
Kelekar et al. (44) | September–December 2020 | 3 US dental schools and 1 US medical school | Michigan, Florida, and Utah | 415 | – | – | 63.85% | Dental students | Medical students |
Chin et al. (45) | 22nd December−4th March 2021 | State prison | California | 97,779 | – | – | 66.50% | Black/African American | – |
Levy et al. (46) | 14th December 2020–14th January 2021 | Pregnant women | New York City, NY | 662 | 100% | – | 58.35% | Risk to fetus, side effects, Black/African American | Non-Hispanic white |
Ruggiero et al. (47) | – | General | – | 427 | – | – | 44.00% | Fear of vaccines, being against all forms of vaccines, religious reasons | – |
Doherty et al. (preprint) (48) | 27th August−15th December 2020 | General | North Carolina | 948 | 63 | 27.7% | 68.90% | Black/African American, safety concerns | – |
Silva et al. (49) | November 2020 | Student at Health Services and College of Pharmacy attending influenza clinics | Rhode Island | 237 | 65% | 84% | 50% | Safety, effectiveness, and limited information | – |
Trent et al. (50) | July–August 2020 | General | New York City, NY, and Phoenix, Arizona | 1,704 | 53% | – | 71% NY; 76% Phoenix | Younger age, females | – |
Silva et al. (20) | 19th October 16th December 2020 | Sexual and Gender Minority Men and Transgender Women | – | 1,350 | – | 25.90% | 7 (3.12) | – | – |
Hou et al. (51) | 13th June−31st July 2020 | Twitter posts mentioning COVID vaccine | New York City, NY | 1,568 | – | – | 36.40% | – | – |
Nguyen et al. (preprint) (52) | 24th March 2020–16th February 2021 | General | – | 73,650 | – | – | 91.40% | Younger age, Females, Black/African American | – |
Geana et al. (53) | 5th−25th March 2021 | Women recently released from jail | Midwest USA | 25 | 100% | 80.00% | 20% | The pace of development, adverse effects | – |
Piltch-Loeb et al. (54) | 13th−23rd December 2020 | General | – | 2,650 | 46.10% | 66% | 19.70% | Black/African American, females | Non-Hispanic whites, Males |
Meier et al. (21) | 28th−30th October 2020 | General | – | 1,054 | 51.20% | 75.20% | 5.12 (1.98) | – | – |
Latkin et al. (55) | March, May, July 2020 | General | – | 592 | 56% | 79.40% | 59.10% | – | Males |
Scott et al. (56) | April 2020 | Amish families | Ohio | 391 | – | – | 25% | – | – |
Szilagyi et al. (12) | 25th November−8th December 2020 | Uninstitutionalized US residents | – | 5,660 | – | – | 56.2% | Female, Black/African American | Asian, Males, Older age |
Szilagyi et al. (12) | 1st−14th April 2021 | Uninstitutionalized US residents | – | 5,660 | – | – | 74.1% | Female, Black/African American | Asian, Males, Older age |
Callaghan et al. (16) | 28th May−8th June 2020 | General | – | 5,009 | 51.5 | 60% | 68.90% | – | – |
Mercadante and Law (57) | 23rd−29th October 2020. | General | – | 525 | 49% | 66.10% | 66.70% | – | – |
Kociolek et al. (58) | 21st December−13th January 2021 | Children's hospital staff | Chicago, Illinois | 4,448 | 81.60% | 59.80% | Black/African American | – | |
Ruiz and Bell (59) | 15th−16th June 2020 | General | – | 804 | 53.60% | 65.3% | 14.80% | – | Males, non-Hispanic white, democrats, college-educated |
Latkin et al. (60) | 14th−18th May 2020 | General | – | 1,043 | 70.10% | 69.40% | 53.60% | Black/African American | – |
Keene Woods et al. (61) | April–May 2020 | General | Kansas | 53 | 96.15% | 50.94% | 59.60% | – | – |
Greenhawt et al. (62) | April 2020 | General | – | 1,262 | – | – | 65.70% | – | – |
Fisher et al. (63) | 16th−20th April 2020 | General | – | 991 | 51.50% | 63.3% | 57.60% | Younger age, Black/African American, Females, lower educational attainment, not having received the influenza vaccine, need for more information, anti-vaccine attitudes or beliefs, lack of trust | – |
Dorman et al. (7) | October–November 2020 | General | – | 26,324 | 72.80% | 51.6% | 4.6 | Females or Hispanic or Black/African American | Males, older age, non-Hispanic whites or Asian |
Khubchandani et al. (64) | June 2020 | General | – | 1,878 | 52% | 74% | 78% | Black/African American, Hispanics, lower education and incomes, rural dwellers, people in the northeastern US, Republicans | Asian, others |
Kelly et al. (10) | April 2020 | General | – | 2,279 | 52% | 78% | 75% | Black/African American Females | Hispanics, non-Hispanic whites, males |
Rungkitwattanakul et al. (65) | – | Patients receiving dialysis treatment | – | 90 | 40% | (Black 83%) | 49% | Lack of trust in the federal government Lack of information, safety do not trust the manufacturer of the vaccine | – |
Kelkar et al. (66) | 31st December 2020–8th January 2021 | Cancer patients | Florida | 205 | 79% | 82% | 71% | – | – |
Malik et al. (67) | May 2020 | General | – | 672 | 57% | 73% | 67% | Females, Black/African American | Males, older age, non-Hispanic whites or Asian, college degree |
Stern et al. (68) | September–December 2020 | Residents in three prisons and 13 jails in four states | Washington, Florida, California, Texas | 5,110 | 17.60% | 41.90% | 44.90% | Black/African American, Younger age, lived in jails vs. prisons waiting for more information, efficacy, or safety concerns | – |
Pogue et al. (69) | – | General | – | 316 | 49.38% | 63.27% | 68.54% | – | – |
Salmon et al. (70) | 25th November−7th December 2020 | General | – | 2,525 | 51.80% | 39.70% | 50% | Females, black/African American | Males, non-Hispanic whites |
Unroe et al. (71) | 14th−17th November 2020 | Nursing home staff | Indiana | 8,243 | 87% | 82.60% | 45% | Side effects, females, Black/African American | Males, non-Hispanic whites |
Rhodes et al. (22) | 2020 | Vaccine hesitant parents | – | 1,381 | 61.80% | 68.80% | 3.58 (2.16) | General unwillingness | More educated respondents |
Lucia et al. (72) | – | Medical students | Southeast Michigan | 167 | 57% | – | 75.40% | – | – |
Reiter et al. (73) | May, 2020 | General | – | 2,006 | 56% | 67% | 69% | Non-Latinx blacks | Recommended by a healthcare provider, effectiveness |
Ehde et al. (74) | 10th April−6th May 202 | Multiple sclerosis patients | – | 486 | 81.3% | 90.5% | 84.5% | – | More educated, greater risk of contracting |
Nishma Research (75) | 18th−28th April, 2021 | Jewish Community | Majority from New York | 3,666 | 42.4% | – | 65.3% | Females, Less than college grad education, younger age | Males, older age, college graduate |
COVID-19 Vaccine Acceptance Rates
Vaccine acceptance rates varied from a low of 12% to a high of 91.4%. In 48 from 63 surveys, readiness to get vaccinated was ≥50%. The mean and standard deviation of acceptance rate by Silva et al. was 7 (3.12); meanwhile, the willingness of studies using the 10-point scale ranged from 3.58 to 5.12.
COVID-19 Vaccine Acceptance Stratified per Region
A total of 32 studies included the geographical location of the survey, comprising data of 20 states out of a possible 50. Overall, a low of 12% was observed in New York City in the Orthodox Jewish community, whereas a high of 90.1% was reported in Kansas among employees and students at the University of Kansas Medical Centre. Figure 2 illustrates the geographical average COVID-19 vaccine acceptance percentage reported in each state. Classifying vaccine acceptance per the four regions in the United States shows New England division of Northeast, West North Central of Midwest, Mountain division of West, and the whole of the South, except West South Central, had a low percentage of states with vaccine acceptance figures, however, in the Mid Atlantic division of Northeast, all three states had surveys conducted, making it the only division with 100 percent data availability. Supplementary Table 1 states the percentage acceptance by each state, with Kansas reporting a high of 89.6%.
COVID-19 Vaccine Acceptance Stratified per Respondents' Population
Apart from the studies with the general population, 18 surveys took place in a healthcare setting, including patients, workers and, students. From these 18, eight highlighted patients' attitudes toward the COVID-19 vaccine. Amongst patients, two surveys on solid organ transplant (SOT) recipients showed their hesitance toward the vaccine owing to lack of data and concerns of its safety in transplant recipients (56.10 and 31.63% acceptance). Other than SOT recipients, studies report willingness in patients with chronic disease, multiple sclerosis, dialysis, and cancer which showed a positive response toward the COVID-19 vaccine. Of these, patients suffering from chronic disease reported the highest acceptance rate of 85%. Healthcare workers and students (dental and medical) showed a varying attitude toward the vaccine as acceptance ranged from a low of 45% in nursing home staff to a high of 90.10% in staff and students at the University of Kansas Medical Centre.
Three surveys were carried out in religious communities, two in Jewish and one in the Amish community. The Amish community had an alarmingly low acceptance rate of 25%, whereas the Jewish people had 12 and 65.3%, with the latter being of greater significance due to the large sample size. Two surveys carried out in New York highlighted the increased hesitance toward the vaccine by pregnant women. Amongst pregnant women, an acceptance rate of 44.3 and 58.35% was reported, whereas 76.2% of non-pregnant women were inclined to take up the COVID-19 vaccine. Studies on vaccine acceptance in inmates and those discharged from prison found a 20, 44.9, and, 66.5% acceptance rate in women recently released from prison, inmates from four states, and a California state prison, respectively, with the latter being significant with a sample size of 97,779. Furthermore, a survey on tobacco and marijuana users showed a low vaccine uptake rate of 49.1%. In all four of these studies, Blacks/African Americans were correlated with increased unwillingness toward the COVID-19 vaccine. Figure 3 summarizes the percentage of vaccine acceptance in different population groups. Figure 4 demonstrates the pooled prevalence of COVID-19 vaccine acceptance in the United States with the pooled prevalence being 71.42%.
Factors Associated With Vaccine Acceptance and Hesitance
Several factors were identified as leading to low or high vaccine acceptance. From the 65 studies, sex was mentioned in 22 surveys, race in 31, age in 16, education level in 19, and income status in 4. The male sex and individuals with a college degree or higher education were significantly associated with higher vaccine acceptance rates in all surveys reporting these variables. Furthermore, non-Hispanic Blacks were correlated with having the lowest vaccine acceptance in all 31 surveys whereas Whites and Asians showed a positive attitude toward uptake of the COVID-19 vaccination. People aged >45 years were linked with an increased approval of the vaccine compared to the younger population in 15 out of the 16 surveys. Respondents from lower-income backgrounds were less inclined to get vaccinated in all four studies. Apart from these significant predictors of behavior toward a vaccine, other factors that contributed to vaccine hesitancy included uncertainty about the vaccine safety and side effects entailing after its administration, religious reasons, and a lack of trust in the healthcare system. A comprehensive data evaluation of the studies is included in Table 1.
Changes in COVID-19 Vaccine Acceptance Over Time
Two studies investigated the change in acceptance of the COVID-19 vaccine by surveying the population twice. Daly et al. conducted the first round of the survey in October 2020, followed by the second one in March 2021. Percentage acceptance rose by 10.8% from 54 to 64.8%. Furthermore, Szilagyi et al. carried out their surveys in November-December 2020 and April 2021 with 56.2 and 74.1% accepting the vaccine, respectively, marking a rise of 7.9%. However, an overall change in readiness for uptake of the vaccine was notable; the predictors of hesitance remained the same throughout time. African/American Blacks and females were the leading predictors of low acceptance in both studies. Daly et al. also correlated younger age and lower-income with the increased unwillingness of the COVID-19 vaccine.
Discussion
The emergence of the B.1.617.2 (Delta) variant has put the United States on the forefront in the total number of COVID-19 cases countrywide (76). Studies have shown that a two-dose regime of any available vaccine significantly reduces a poor prognosis of COVID-19 (77). The rapid advent of efficacious vaccines for coronavirus is a projection of leaps in the field of medicine toward the goal of herd immunity. This, however, is threatened by the globally persistent but a re-emerging phenomenon of vaccine hesitancy and anti-vaccination, as experienced for vaccine-preventable diseases such as poliovirus and rubella. Despite a population of 59.9% receiving at least one dose of the COVID-19 vaccine (78), analyzing vaccine hesitancy is imperative to strategize vaccine delivery plans to procure maximum vaccine coverage and limit the spread of pathogens to the immunocompromised individuals and children who cannot be vaccinated.
In this systematic review, predictors of vaccine hesitancy and acceptance are studied across the U.S in the general population, pregnant women, immunocompromised individuals, students, healthcare workers, racial groups, and demographic characteristics. Factors associated with vaccine hesitancy are vastly different before and after the availability of vaccines. Before the roll-out of COVID-19 vaccines in mid-December 2020, major concerns across all the population groups were focused on the safety, effectiveness, and cost of the vaccine (38, 63). As the death toll peaked in the US, and with more publicly available data of vaccine trials, there was a considerable trend shift in the attitudes toward receiving a vaccination (33).
Thirty-three studies from a pool of 62 gathered vaccine acceptance rates from the general population, ranging from 91.4% (52) to a surprising low of 4.6% (7). Besides the difference in the timeline of each study, hesitancy was mainly driven by the lack of education and understanding of the process of vaccine development. As pharmaceutical companies develop multiple vaccines for the emerging strains, the expedited process of approval has raised concerns about its effectiveness (52), explaining their preferred choice of mRNA vaccines as opposed to any available vaccines (18).
Eleven studies report ethical and racial groups' unwillingness which stems from the deep-seated mistrust in the healthcare system. A study by Willis et al. conducted between July and August 2020 showed that one in every four Blacks/African Americans and Hispanics were hesitant to receive the COVID-19 vaccine, while COVID-19 vaccine hesitancy was highest among Black/African American respondents (50.00%), followed by Hispanic/Latinx respondents (19.18%), and White respondents (18.37%) (15). An online survey from March 2021 revealed a significant decline in vaccine hesitancy amongst the Black race (14). Black/African Americans have been reported to consistently depict suspicion toward the vaccine, with similar patterns observed previously with the influenza vaccines. These can be traced back to the Tuskegee Syphilis study which mishandled hundreds of Black individuals and has institutionalized racial discrimination since then (34, 79). Consistent with the findings of observational studies, Blacks/African American race were more susceptible to SARS-CoV-2 than White Americans race; if contracted, the percentage of hospitalization and mortality was significantly higher (80). A survey that studied COVID-19 vaccine acceptance in sexual and gender minority (SGM) group reported the least willingness in individuals who identified as Black; insensitivity from government representatives toward movements such as Black Lives Matter has deepened racial and economic disparity (20). Vaccine hesitancy in this minority group can be further explained by the pre-existing disparities with healthcare professionals, unavailability of healthcare services, and underrepresentation in clinical trials (7, 38, 64). Maximum vaccine coverage can be achieved by building trust in the government and medical services; Black/African Americans and Hispanic healthcare workers can contribute to foster trust in the system. As many belong to the low-income strata, health insurance can help recover the losses. Providing maximum transparency in COVID-19 trials through informed consent, ensuring maximum representation, and consistent access to healthcare during and after the pandemic is likely to improve turnout at vaccination centers. Entrusting distribution and vaccine manufacturing to businesses owned by Blacks will be a step toward positive vaccine trends. However, Blacks and Hispanics can only be freed from centuries of structural racism and classism in fields outside of medicine through consistent cultural policies across the US (34, 64, 79).
Two studies report COVID-19 vaccine acceptance percentages in religious minorities in the US; an average willingness of 25% in Amish families of the Holmes County in Ohio (56) and 12% in Jewish Orthodox individuals in NY (30). Previous studies have shown that outbreaks of measles, rubella, and poliovirus have significantly affected the Amish community in Ohio, reflecting their lack of concern regarding the severity of the disease (81). Similar to findings of previous surveys conducted for Amish families, concerns about the adverse effects of COVID-19 vaccines were recognized as a major factor for vaccine hesitancy. Other predictors of unwillingness included avoiding dependence on the government, while some conservative families were not convinced as the bishop did not levy importance to it (56, 82). Local governments in Pennsylvania, Ohio, and Indiana have set up vaccination facilities at health departments to increase turnout (30). However, an effective approach to spreading COVID-19 vaccine awareness and destigmatizing it in the Amish community will have to be in conjunction with the church leadership, and the Old Order Amish families which were unaffected by the religious doctrine (82). On the contrary, shared accommodation amongst the Jewish community in NY has increased the incidence of COVID-19, especially in the Chasidish sect. Regardless of the likelihood of contracting coronavirus, negative vaccine trends in Chasidish respondents in Brooklyn were observed (83). However, factors affecting their vaccination status; the belief that natural immunity was more beneficial, and the mistrust in physicians in the US, among other reasons put them on the priority list of strategizing distribution plans and approaches (30).
Individuals from ethnic minority groups or persons suffering from substance use disorders or mental illnesses are frequently incarcerated. The lack of stable housing, food supplies, and subpar treatment facilities delay diagnosis, which increases the risk of diseases like COVID-19 (68). Vaccine acceptance rates were relatively moderately high, ranging from 44 to 66% (45, 68) in prisons while 49% in smokers (29). Consistent with previous surveys, hesitancy in prisoners originated from health illiteracy and the perception that a COVID-19 vaccine was unnecessary (68). In individuals who have been exposed to marijuana and/or tobacco, low acceptance was governed by demographic characteristics and if they lived alone or with a family of more than 5 people. This could be explained by the notion that living alone meant no exposure to SARS-CoV-2 while living with a larger family meant greater coronavirus exposure, and hence natural immunity (29). Although California, Washington, and Texas have recognized the importance of vaccinating detained residents and have put them on the priority list, distrust in government facilities revokes any efforts made.
As experienced in the 2009 H1N1 influenza pandemic, a survey administered among reproductive-aged women from January 7, 2021, to January 29, 2021, established non-pregnant respondents to be most likely to accept vaccination, followed by breastfeeding responders with pregnant responders had the lowest vaccine acceptance (43). The lack of research of COVID-19 vaccines in pregnant women and females has raised major concerns related to its safety to the fetus, with many non-pregnant women considering disruption to the menstrual cycle and infertility a side effect (43). Future research should be geared toward pregnant and breastfeeding women who make up a large proportion of the population of the US.
Frontline healthcare workers and paramedics across the globe were the first to receive the COVID vaccine. Of the 9 studies reported in this systematic review, vaccine acceptance is one of the highest (60–90%) in most studies. Nursing staff showed the least willingness to vaccination (<50%) in multiple surveys which were conducted as vaccines were rolled out (30, 71). This results from the level of medical education in each group, and prospects about its long-term safety. The ethical duty of healthcare workers to not harm their patients makes relying on personal protective equipment insufficient and obligates them to urge staff and patients to receive the vaccine. COVID-19 poses a serious threat to immunocompromised patients, and upon hospitalization, such patients have an early mortality rate of 25% (26). In a population suffering from chronic illnesses, patients with multiple sclerosis have been included in trials, and thus show an acceptance rate between 60 and 70% (24, 74). However, skepticism regarding vaccines was greatly observed in solid organ transplant (SOT) patients (31% acceptance) (39) compared to hemodialysis patients (49% acceptance) (65). SOT patients suffer from comorbidities such as chronic kidney disease and diabetes. Immunosuppressive drugs reduce hyper inflammation in SOT patients, but if infected with SARS-COV-2, risk bacterial and fungal co-infection as innate and adaptive immunity is compromised (84). Of the fundamental 5Cs that determine vaccine coverage, decreased confidence and medical mistrust correlated with the lack of research in SOT respondents (39). Suboptimal humoral responses were recorded with two-dose regimes of COVID-19 vaccines in organ transplant recipients. Therefore, three doses of COVID-19 vaccines are being recommended to obtain recommended antibody titers (85).
The vaccine acceptance rates in the US vary by demographic characteristics, including age, geographical location, sex, and household income. While the country of origin of the vaccine has minimal contribution in encouraging or dissuading people from vaccination (23), statistics from March 2021 relay that vaccine hesitancy in the US was highest in low socioeconomic respondents belonging to households earning $50,000 or less, among those without a degree adults, or those aged 18–39 years (13). Significant generational difference in vaccine hesitancy is shown as Baby Boomers and Gen X have lower odds of vaccine hesitancy compared to Millennials (86). In a study from 18 to 64-year-old Tennessee adults, a positive response was received regarding vaccine safety, efficacy, importance, and benefit (38). In a different clinical study comprising U.S. adults aged 65 and older, 63.6% of participants reported they were very willing to receive a COVID-19 vaccine (33). This is possibly governed by the social media exposure to each generation; Gen Z and Millennials are more likely to be technologically advanced as compared to Baby Boomer and Gen X. Therefore, health information could be easily obtained from social media platforms such as Facebook and Twitter. A skewed display of factually incorrect information on social media and an individual's tendency to be vulnerable to social media's emotional appeal often becomes the gist of the decision made by a lot of individuals (87). Furthermore, a positive trend in vaccine acceptance among males vs. females (71), could be a result of a sampling bias thereof.
Medical mistrust is likely to improve if public health campaigns are run by health experts, CDC, or the WHO. Endorsements of COVID-19 vaccines by political figures is seen as politicizing a requirement of today, such as promotion of unapproved hydroxychloroquine by the US president wreaked havoc amongst the healthcare workers (88). Mandating vaccination in workplaces but also banning entry of unvaccinated individuals to public spaces may contribute as a factor of vaccine acceptance (89). Given the disproportionate willingness in the low-economic strata, efforts should be made to make the vaccine more accessible to them, by promoting health insurance. A study revealed only 35% of individuals were willing to pay $50 or more for the coronavirus vaccine. Therefore, adopting a unified policy of a no-cost follow-up after vaccination as introduced by a few states can remove financial barriers (73). The expedited process of COVID-19 vaccine testing and the cases of adverse events of a vaccine contributed significantly to vaccine hesitance. This mandates the role of media and pharmaceutical companies to deliver information that can be easily interpreted by the general population (88).
This systematic review reports a multitude of populations, and analyses percentages by regions in the US. However, the pooled percentages are subjected to spectrum bias since percentages for general population are pooled with terminally ill or marginalized groups. Percentage of COVID-19 vaccine acceptance is liable to random error as published studies were carried out at different phases of the coronavirus peak. Another limitation worth noting is that it does not provide a timeline change in the vaccine hesitancy across all groups, and thus does not record the change in vaccine enthusiasm. Lastly, vaccine acceptance percentages by states should be interpreted logically as demographic characteristics differ across the region.
Conclusion
This study confirms that demographic characteristics played an important role in positive trends in vaccine acceptance, with the male sex showing higher acceptance of the COVID-19 vaccine. Least willingness was identified in the Black/African American population, and pregnant or breastfeeding women. Therefore, pharmaceutical companies and the US government must acknowledge the COVID-19 vaccine hesitancy that exists across the country. Increased hospitalization and adverse effects of COVID-19 in non-vaccinated individuals identify as potential threats to the economic and social stability of the country and aim to increase the divide. The willingness rates of vaccination are alarming in ethnic and sexual and gender minority groups, urging the need for outreach campaigns to prevent a COVID-19 outbreak in a susceptible population. Restoring trust in medical professionals and vaccines requires a strategical approach to overcome the racial injustice in the system, while timely implementation of vaccine delivery plans remains a challenge as new strains of coronavirus emerge as potential threats to the healthcare system.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
Author Contributions
FY: conception of the study, primary drafting of the work, final approval, and agreeing to the accuracy of the work. HN: conception of the study, major drafting of the work, final approval, and agreeing to the accuracy of the work. AM: conception of the study, drafting of the work, final approval, and agreeing to the accuracy of the work. UN: drafting of the work, final approval, and agreeing to the accuracy of the work. MA: conception of the study, critical revision of the work, final approval, and agreeing to the accuracy of the work. NC, ZY, BS, IU, C-YL, and AP: critical revision of the work, final approval, and agreeing to the accuracy of the work. All authors have read and approved the final manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2021.770985/full#supplementary-material
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Data Availability Statement
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