Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2022 Dec 1;17(12):e0278622. doi: 10.1371/journal.pone.0278622

Attitudes towards Monkeypox vaccination and predictors of vaccination intentions among the US general public

Maike Winters 1,2,*,#, Amyn A Malik 1,2,#, Saad B Omer 2,3,4
Editor: Harapan Harapan5
PMCID: PMC9714903  PMID: 36454991

Abstract

Amidst an unprecedented Monkeypox outbreak, we aimed to measure knowledge, attitudes, practices and Monkeypox vaccination intentions among the U.S. adult population. We conducted an online cross-sectional survey, representative of the U.S. adult general public in June 2022. We asked participants whether they would receive a Monkeypox vaccine, if they were recommended to do so. Participants also answered questions on their self-assessed level of Monkeypox knowledge, risk perception, perceived exaggeration of the threat, and self-efficacy around Monkeypox. Furthermore, we asked about their trusted sources of information, COVID-19 vaccination status and administered the 6-item Vaccine Trust Indicator (VTI). Survey weights were created based on age, gender and race. We analyzed predictors of Monkeypox vaccination intentions using logistic regression, adjusted for education, age, race and ethnicity. A total of 856 respondents completed the survey, of which 51% (n = 436) were female and 41% (n = 348) had a college degree or higher. If recommended, 46% of respondents intended to get vaccinated against Monkeypox, 29% would not get vaccinated and 25% did not know. Almost half the respondents (47%) found their own knowledge level about Monkeypox poor or very poor. The most trusted sources of information about the outbreak were healthcare professionals and officials, but also known doctors and researchers with a large online following. Only 24% indicated that the U.S. Centers for Disease Control and Prevention should be in charge of the outbreak response. Being vaccinated against COVID-19 was a strong predictor of intention to receive a Monkeypox if recommended (adjusted Odds Ratio (aOR) 29.2, 95% Confidence Interval (CI) 13.1–65.3). Increased risk perception was positively associated with vaccination intentions (aOR 2.6, 95% CI 1.8–3.6), scoring high on the VTI as well (5.4, 95% CI (3.2–9.1). The low levels of self-assessed knowledge, vaccination intentions and influence of COVID-19 vaccination status point to a lack of clear communication.

Introduction

For the first time, there is community transmission of Monkeypox cases outside of endemic areas in West and Central Africa [1]. The 2022 surge of cases spurred the World Health Organization to declare a Public Health Emergency of International Concern on July 23rd, 2022 [2]. Shortly thereafter, on August 4th, the U.S. Department of Health and Human Services declared the monkeypox outbreak a public health emergency [3]. The first monkeypox cases in the U.S. were detected in May and since then, more than 28,500 cases have been reported throughout the country [4]. Data from the U.S. show that around 98% of the cases are among men, and 94% was among men who have sex with men (MSM) [5, 6].

The starting phase of infectious disease outbreaks comes with uncertainty, especially when it involves new pathogens, or pathogens that are new to the region [7]. Following the emergency declarations, there was a noticeable increase in Google searches on Monkeypox in the U.S., including questions around vaccine requirements, and whether one can die of Monkeypox [8]. Unclear or too little communication can create an information void, in which misinformation easily spreads [9]. The COVID-19 pandemic has also highlighted the need for early attention to behavioral aspects of a response [10, 11].

Fortunately, and contrary to the first year of the COVID-19 pandemic, there are vaccines available against Monkeypox: second and third generation smallpox vaccines [1215]. The third generation vaccine, the Modified Vaccinia Ankara-Bavarian Nordic vaccine (JYNNEOS), is the primary vaccine being used in the current outbreak in the U.S. [16]. At the start of the 2022 global outbreak, their real-world effectiveness was not firmly established, as data were based on observational studies of first-generation smallpox vaccines in the Democratic Republic of the Congo in the 1980s [14, 17]. As the 2022 outbreak progressed, real-world vaccine performance data suggest that the JYNNEOS vaccine offers some protection against Monkeypox [17, 18]. For instance, in the U.S., the incidence was 14 times higher in unvaccinated males compared to males who had received at least one dose of the JYNNEOS vaccine [18]. In the U.S., the current vaccination strategy includes post-exposure prophylaxis for people who are known contacts to someone with Monkeypox. The vaccine is recommended as pre-exposure prophylaxis for those with higher risk of exposure to Monkeypox, for instance MSM [19].

While the outbreak currently predominantly affects MSM, the virus can spread outside of these groups and among the general public as well, as outbreaks in West and Central Africa have shown [20]. Emerging data show racial disparities in both cases and vaccinations, whereby Black people are overrepresented among cases but underrepresented in vaccination uptake [21]. In communication with the general public, special care should be taken to prevent stigmatization of high risk groups, such as MSM [22, 23]. To date, little is known about the general public’s perceived knowledge, practices and perceptions of risk around Monkeypox. Furthermore, data are lacking on Monkeypox vaccination intentions, and whether the COVID-19 pandemic influences those intentions. While the historic drop in routine childhood immunization coverage in the world is likely due to a myriad of factors, attitudes towards COVID-19 vaccines as well as COVID-19 vaccination status may have played a role [24]. A recent study (not yet peer-reviewed) points to potential spillover effects from the COVID-19 pandemic, whereby COVID-19 vaccination status and attitudes negatively influence attitudes and vaccination intentions of other vaccines, such as routine childhood immunization [25].

We therefore aimed to survey the U.S. general public about their Monkeypox vaccination intentions if they would be recommended to do so, their knowledge and trusted sources of information and to test whether COVID-19 vaccination status, risk perception, self-efficacy and knowledge were associated with Monkeypox vaccination intentions. Our results can inform communication campaigns and behavioral interventions.

Materials and methods

An online survey was administered in the United States. A representative sample of the U.S. adult population was recruited through market research company CloudResearch in early June 2022. Participants received a small monetary incentive after completing the survey. Participants answered questions on their awareness of the Monkeypox outbreak, knowledge, risk perceptions and self-efficacy around Monkeypox. We also asked about their trusted sources of information, preferred stakeholders to be in charge of the outbreak response, COVID-19 vaccination status, as well as intentions to receive a vaccine against Monkeypox if they would be recommended to do so. Assuming conservatively that 50% of the respondents would be willing to get vaccinated, with a margin of error of 4%, we estimated that we would need 600 respondents. We inflated this number to 800 to account for missing data. Yale University Institutional Review Board approved this study (IRB protocol number 2000032980) and participants gave their informed written consent before data was collected.

We used the question ‘How would you rate your knowledge level about Monkeypox? as a measure of self-assessed knowledge. Respondents could answer on a 5-point Likert scale, ranging from ‘very poor’ to ‘very good’. We categorized this into ‘very poor/poor’, ‘neutral’ and ‘good/very good’.

We created a composite variable for risk perception based on six statements, which were answered on a 5-point Likert scale: ‘My health will be severely damaged if I contract Monkeypox’, ‘I think novel Monkeypox is more severe than COVID-19’, ‘Even if I fall ill with another disease, I will not go to the hospital because of the risk of getting Monkeypox there’, ‘Monkeypox will inflict serious damage in my community’, ‘I am scared of Monkeypox’ and ‘I am very concerned about this outbreak’. The composite variable was the average of these questions (scale 1–5) and was analyzed as a continuous variable. Cronbach’s alpha for the composite variable was 0.81.

We also measured whether respondents believed the Monkeypox threat was exaggerated (‘I believe that the government is exaggerating the threat’). The 5-point Likert scale was categorized into ‘disagree’, ‘neutral/I don’t know’ and ‘agree’. The question ‘I believe I can protect myself against Monkeypox’ was used to measure self-efficacy on a 5-point Likert scale, which was categorized into ‘disagree’, ‘neutral/I don’t know’ and ‘agree’. The Vaccine Trust Indicator (VTI) comprised six items around various aspects of vaccine trust. For instance, about trust in vaccine manufacturers and pharmaceutical companies, trust in the Ministry of Health and understanding how vaccination helps the body fight infectious diseases. The scale has been and is described in more detail elsewhere [26]. An average score was created on a scale from 0–10, which was subsequently categorized into ‘low’ (less than 4), ‘medium’ (between 4 and 7) and ‘high’ (7 and higher). COVID-19 vaccination status was ascertained with the question ‘Have you been vaccinated against COVID-19?, which could be answered with ‘yes’, ‘no’ and ‘I don’t know’. The last two options were combined. Among those who were aged older than 45 years, we asked whether they had received a smallpox vaccine (‘yes’, ‘no’, ‘I don’t know’).

Intention to receive a Monkeypox vaccine was phrased: ‘If a vaccine against Monkeypox is recommended for you, will you take the vaccine?, to which respondents could answer ‘yes’, ‘no’ or ‘I don’t know’. We dichotomized this variable into ‘yes’ and ‘no/I don’t know’.

Statistical analysis

Survey weights were added and were calculated based on age, gender and race and sourced from the American Community Survey [27]. Table 1 contains the overview of the demographics both unweighted and weighted and a comparison to the American population. Descriptive statistics were summarized. The proportion and means with their 95% Confidence Intervals (CI) were calculated for trust in various information sources, self-assessed level of knowledge, risk perception, perceived exaggeration of the threat, self-efficacy, the VTI and COVID-19 vaccination status, adjusted for the survey weights.

Table 1. Demographics of the sample.

Unweighted sample N (%) Weighted sample % American population %
Gender
    Male 410 (48) 49 49
    Female 436 (51) 51 51
    Other 10 (1) 0
Age (years)
    18–25 103 (12) 12 9
    26–35 168 (20) 18 13
    36–45 157 (18) 16 12
    46–55 150 (18) 17 12
    55+ 278 (32) 38 33
Race
    Black/African American 113 (13) 13 12
    American Indian/Alaska Native 17 (2) 2 1
    Asian 39 (5) 4 6
    Native Hawaiian/Other Pacific Islander 2 (0) 0 0
    White 685 (80) 81 62
Ethnicity
    Hispanic 82 (10 9 19
    Non-Hispanic 774 (90) 91 82
Education
    No high school 27 (3) 3 12
    High school 248 (29) 28 27
    Some college 233 (27) 28 20
    College 230 (27) 28 29
    Graduate/Professional 118 (14) 13 13

Logistic regression analyses were then carried out to determine the associations between intention to receive a Monkeypox vaccine if recommended and self-assessed level of knowledge, self-efficacy, VTI, risk perception, perceived exaggeration of threat and COVID-19 vaccination status. Given that the outbreak currently overwhelmingly affects men, we also tested whether there was a difference between genders in vaccination intentions. Results were reported for the crude associations, as well as adjusted for education (no high school, high school, some college, college, graduate/professional), age (18–25, 26–35, 36–45, 55+), race (Black of African American, American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander and White), ethnicity (Hispanic, Non-Hispanic) and survey weights.

To test whether previous smallpox vaccination was associated with Monkeypox vaccination intentions, we restricted the sample to those aged 45 years and older, and carried out logistic regression analyses, both crude and adjusted for the demographic variables listed above. A replication dataset can be found at: https://osf.io/zxdjs/.

Results

The sample comprised 856 participants, of which 51% (weighted %, unweighted n = 436) were female, 41% (unweighted n = 348) had a college degree or higher and 38% (unweighted n = 278) were 55 years or older, which was similar to the U.S. population, see Table 1. The sources of information deemed most reliable to convey information about the outbreak were Healthcare Professionals (median on scale from 1–5: 3.7, standard deviation (SD) 1.4), Health Officials (like the Centers for Disease Control and Prevention (CDC)) (3.5, SD 1.3), and social media accounts of known doctors and researchers (3.1, SD 1.4), see Fig 1. Social media accounts from lifestyle influencers and celebrities scored lowest.

Fig 1. Mean reliability in information sources.

Fig 1

More than half the respondents (53%) placed most confidence in their own doctor to handle the outbreak in the US, followed by 20% who placed most confidence in the Centers for Disease Control and Prevention. Asked who should be in charge of the response, 32% ranked the President as number one, followed by the CDC (24%). While most of the respondents pointed to correct preventative measures such as avoiding close contact with sick people (83%) and washing hands with soap and water (80%), 48% said that eating a balanced diet was an effective way to prevent Monkeypox.

When asked about their COVID-19 vaccination status, 71% said they were vaccinated, which matched the share of fully vaccinated individuals in the US at the time of the survey (67%) [28]. Of the sample, 79% was aware of the Monkeypox outbreak, but almost half the respondents (47%) rated their level of knowledge about Monkeypox to be poor or very poor. 44% of the respondents were concerned about the outbreak.

More than half the respondents (54%) believed they could protect themselves against Monkeypox, only 6% believed that they could not, see Table 2. 38% of the respondents believed that the threat of Monkeypox was exaggerated by the government, 36% were neutral on this and 26% believed there was no exaggeration. On a composite variable on risk perception (see Methods), the mean score on a scale from 1–5 was 3.0 (Standard Deviation (SD) 0.8). Compared to Black and African American respondents, White respondents were less likely to perceive risk (adjusted coefficient of linear regression -0.30, 95% Confidence Interval (CI) -0.50- -0.09). There was no difference in risk perception between men and women or between the different age groups.

Table 2. Monkeypox knowledge, self-efficacy, risk perception, perceived exaggeration, Vaccine Trust Indicator and COVID-19 vaccination status.

Indicators % (95% Confidence Interval)* Unweighted N
Intention to get vaccinated against Monkeypox, if recommended
    No/ I don’t know 53.9 (50.1–57.6) 482
    Yes 46.1 (42.4–49.9) 374
Self-assessed level of knowledge
    Poor / very poor 46.7 (42.9–50.6) 375
    Average 33.8 (30.3–37.4) 279
    Good / very good 19.5 (16.5–22.8) 144
Self-efficacy
    No self-efficacy 6.1 (4.5–8.1) 52
    Neutral 40.2 (36.7–43.9) 355
    Self-efficacy 53.8 (50.0–57.4) 449
Risk perception (Mean) 3.0 (3.0–3.1)
Perceived exaggeration of threat
    No exaggeration 26.4 (23.2–29.8) 225
    Neutral 35.6 (32.0–39.2) 315
    Exaggeration 38.0 (34.4–41.8) 316
Vaccine Trust Indicator
    Low 16.2 (13.7–19.2) 146
    Medium 32.8 (29.4–36.4) 281
    High 50.9 (47.1–54.7) 402
COVID-19 vaccination status
    Not vaccinated 29.1 (25.7–32.6) 255
    Vaccinated 70.9 (67.4–74.3) 581

*Adjusted for survey weights

Asked whether they would receive a Monkeypox vaccine if recommended, 46% (95% CI 42%-50%) of our sample said ‘yes’, 29% (95% CI 25%-32%) declined and 25% (95% CI 22%-29%) did not know, see Table 3. Men were more likely to say yes to a Monkeypox vaccine than women (men: 57%, women 36%), Table 3. Those aged between 26–35 years had the highest vaccination intentions compared to the other age groups (55%). Vaccination intentions did not differ by race.

Table 3. Monkeypox vaccination intentions by demographics (n = 856).

Intention to take Monkeypox vaccine if recommended
Yes No I don’t know p-value
Overall 46% 29% 25%
Gender <0.000
    Men 57% 22% 21%
    Women 36% 35% 30%
Age 0.033
    18–25 44% 33% 22%
    26–35 55% 29% 16%
    36–45 43% 30% 27%
    46–55 37% 34% 29%
    55+ 48% 24% 28%
Race 0.390
    Black of African American 44% 25% 31%
    American Indian/ Alaska Native 54% 41% 5%
    Asian 59% 19% 21%
    Native Hawaiian/ Other Pacific Islander 47% 0% 53%
    White 46% 29% 25%

Looking at the predictors of willingness to receive a Monkeypox vaccine, we found that current COVID-19 vaccination status was a strong predictor (adjusted Odds Ratio (aOR) 29.3, 95% CI 13.1–65.3), see Table 4. We also found that increased risk perception was associated with Monkeypox vaccine acceptance (AOR 2.6 95% CI 1.8–3.6). Similarly, self-assessed good or very good knowledge of Monkeypox was associated with increased odds of intention to get vaccinated (aOR 2.1, 95% CI 2.2–4.0). Perceived that the threat of Monkeypox is exaggerated was in its turn negatively associated with vaccination intentions (aOR 0.4, 95% CI 0.2–0.7).

Table 4. Associations with intentions to receive a Monkeypox vaccine, if recommended.

Odds Ratio (95% CI) p-value Adjusted* Odds Ratio (95% CI) p-value
Self-assessed knowledge
    Poor / very poor Reference Reference
    Average 1.2 (0.8–1.7) 0.373 1.1 (0.7–1.8) 0.701
    Good / very good 1.9 (1.2–2.9) 0.005 2.1 (1.1–4.0) 0.023
Self-efficacy
    No self-efficacy Reference Reference
    Neutral 0.8 (0.4–1.5) 0.482 0.9 (0.3–2.4) 0.837
    Self-efficacy 1.2 (0.7–2.) 0.536 0.7 (0.3–1.9) 0.487
Risk Perception 1.9 (1.5–2.3) <0.001 2.6 (1.8–3.6) <0.001
Perceived exaggeration
    No exaggeration Reference Reference
    Neutral 0.3 (0.2–0.4) <0.001 0.4 (0.3–0.7) 0.002
    Exaggeration 0.4 (0.3–0.6) <0.001 0.4 (0.2–0.7) 0.002
Vaccine Trust Indicator
    Low 0.1 (0.0–0.3) <0.001 0.3 (0.1–0.8) 0.018
    Medium Reference Reference
    High 6.8 (4.6–10.1) <0.001 5.4 (3.2–9.1) <0.001
COVID-19 Vaccination Status
    Not vaccinated Reference Reference
    Vaccinated 29.6 (15.7–55.9) <0.001 29.2 (13.1–65.3) <0.001
Gender
    Male Reference
    Female 0.4 (0.3–0.6) <0.001 0.5 (0.3–0.8) 0.003

*Adjusted for: all other variables in the table, age, education, race, ethnicity, survey weights

CI = Confidence Interval

Scoring high on the Vaccine Trust Indicator (VTI), was associated with increased odds of saying yes to a Monkeypox vaccine (AOR 5.4 95% CI 3.2–0.1), compared to those who scored medium on the VTI, see Table 4. Those scoring low on the other hand were significantly less likely to accept a Monkeypox vaccine if recommended (AOR 0.3 95% CI 0.1–0.8). A closer look at the VTI shows that the variables ‘I believe vaccination is part of a healthy lifestyle’ and ‘I trust vaccine manufacturers or pharmaceutical companies’ explained most of the variance of the dependent variable, see Table 5.

Table 5. Variance of dependent variable explained by Vaccine Trust Indicator items.

Vaccine Trust Indicator item Variance explained
Thinking about vaccination in general, would you say you are personally:
0: strongly against vaccination
10: strongly for vaccination
4.462
I generally trust vaccine manufacturers or pharmaceutical companies
0: strongly disagree
10: strongly agree
4.805
I generally trust the Department of Health & Human Services
0: strongly disagree
10: strongly agree
4.499
I understand how vaccination helps my body fight infectious disease
0: strongly disagree
10: strongly agree
3.869
I feel it is important that I get vaccinated
0: strongly disagree
10: strongly agree
4.422
Vaccination forms part of a healthy lifestyle
0: strongly disagree
10: strongly agree
4.891

Among those older than 45 years (55% of the sample), 67% were vaccinated against smallpox, 19% were not and 14% did not know. Those who had received a smallpox vaccine had also higher odds of saying yes to receiving a vaccine against Monkeypox compared to those who had not received a smallpox vaccine (AOR 4.7 95% CI 2.4–9.3). Similarly, those who were not aware of their smallpox vaccination status were more likely than those who had not received a smallpox vaccine to say yes to a vaccine against Monkeypox (AOR 3.6 95% CI 1.5–8.5).

Discussion

In our representative survey of the US general population, 46% of the respondents intended to get a Monkeypox vaccine if this would be recommended to them. The low levels of self-assessed knowledge about Monkeypox are in line with general public’s Monkeypox knowledge elsewhere [29] and indicate the need for clear communication about the outbreak. In recent outbreaks such as the 2014–2016 Ebola outbreak and the COVID-19 pandemic, lack of early and clear communication created space for misinformation, which in turn had a major impact on the effectiveness of outbreak control measures [30, 31].

The finding that women are less eager than men to receive a Monkeypox vaccine when recommended, might be explained by the fact that the virus is currently primarily affecting MSM [32]—women might feel less need for it. However, the virus transmits through close contact and can thus transmit among women as well [32, 33]. Communication strategies could highlight the mode of transmission, as well as providing clear information on preventive methods and symptoms of Monkeypox.

Strategies should leverage trusted sources of information, such as healthcare professionals and officials, but also doctors and researchers with a large online following. In turn, these doctors and researchers should handle their online reach responsibly and provide accurate information to their followers [34]. The high perceived reliability in these sources of information, as well as the large confidence our respondents had in their own doctor to handle the outbreak, has been documented during the COVID-19 pandemic as well [35]. To be able to communicate effectively about the outbreak and advise their patients, it would be important to target health workers specifically with ongoing updates around the outbreak and providing practical tools to communicate with their patients, as recent surveys (outside the US) have found that health worker knowledge about Monkeypox is suboptimal [36, 37].

The finding that COVID-19 vaccination status was strongly associated with Monkeypox vaccination intentions, can be an indicator of the influence of the pandemic experience on the general public’s attitudes towards the monkeypox outbreak [38]. We also found that only 24% of the respondents felt that the CDC should be leading the outbreak response. This is in stark contrast with attitudes towards the CDC at the start of the COVID-19 pandemic, when 53% of respondents to a representative survey wanted the CDC to lead the response [35]. The pandemic has eroded trust, and efforts should be made to restore trust in the leading public health institute in the US [39].

Risk perception had a strong positive association with vaccination intentions, while believing the threat of the outbreak is exaggerated by the government was negatively associated with intentions to get vaccinated. Perceiving risk is an important determinant of behavior change [40], and can in turn also be influenced when behavior has indeed changed [41, 42]. Given the current transmission pattern of the Monkeypox outbreak, actual risks of contracting the disease vary largely, as opposed to for instance the COVID-19 pandemic [43, 44]. While our study looked at risk perception of the disease, the perceived risk of side effects and perceptions of vaccine efficacy can influence vaccination intentions as well [45].

The Vaccine Trust Indicator was strongly associated with Monkeypox vaccination intention, demonstrating the usability of this short scale. The finding that the variable around vaccination being part of a healthy lifestyle was a strong predictor, could point to a potentially powerful way of framing vaccination.

In our study, more than 67% of those aged 45 and over were vaccinated against smallpox, which, based on observational data from the Democratic Republic of the Congo in the 1980s, provides at least partial protection against Monkeypox [14]. Still, those who were vaccinated against smallpox were found to be more willing to accept a vaccine against Monkeypox. It is unclear whether those who were not vaccinated against smallpox actively refused in the past or were too young to have received it (the US stopped routine smallpox vaccination in 1972).

Strengths & limitations

A major strength of our study was the ability to collect data from a representative sample of the US adult population, giving a rapid overview of knowledge gaps, vaccine attitudes and communication needs in a new outbreak. Limitations of the study include the fact that this is a cross-sectional survey–we cannot determine the direction of the associations we observed as reverse causality may have played a role. Furthermore, unmeasured confounders, such as occupation, may have influenced the results. While we sampled using quotas to make the sample as representative as possible to the US adult population, it may be that certain groups were over- or under-sampled. We mitigated this by adding survey weights to the analysis. Given that the Monkeypox outbreak mainly affected MSM at the time of the survey, there may have been stigma and a selection bias in our study. This may have resulted in more negative attitudes towards vaccination. Lastly, we did not ask about the sexual orientation of the participants, which could have influenced vaccination intentions.

While vaccination strategies currently target MSM [19, 46], no recommendation regarding a Monkeypox vaccine for the general public has been made. Our results highlight the need for clear communication efforts to improve vaccination attitudes and intentions among the general public. Any future communication strategies should be responsive to the circulating rumors and misinformation.

Data Availability

All data files are available from the OSF database: https://osf.io/zxdjs/.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.World Health Organization. Surveillance, case investigation and contact tracing for monkeypox. 2022. August 25, 2022. Report No. [Google Scholar]
  • 2.World Health Organization. WHO Director-General’s statement at the press conference following IHR Emergency Committee regarding the multi-country outbreak of monkeypox—23 July 2022. 2022 [cited 2022 August 25]. Available from: https://www.who.int/news-room/speeches/item/who-director-general-s-statement-on-the-press-conference-following-IHR-emergency-committee-regarding-the-multi—country-outbreak-of-monkeypox—23-july-2022. [Google Scholar]
  • 3.Diamond D. Monkey is a ‘public health emergency’, U.S. health secretary declares. Washington Post. 2022. August 4, 2022. [Google Scholar]
  • 4.Centers for Disease Control and Prevention. 2022 U.S. Map & Case Count 2022. [cited 2022 June 28]. Available from: https://www.cdc.gov/poxvirus/monkeypox/response/2022/us-map.html. [Google Scholar]
  • 5.Philpott D, Hughes CM, Alroy KA, Kerins JL, Pavlick J, Asbel L, et al. Epidemiologic and Clinical Characteristics of Monkeypox Cases—United States, May 17-July 22, 2022. MMWR Morb Mortal Wkly Rep. 2022;71(32):1018–22. Epub 20220812. doi: 10.15585/mmwr.mm7132e3 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Centers for Disease Control and Prevention. Monkeypox Cases by Age and Gender, Race/Ethnicity, and Symptoms 2022. [cited 2022 August 30]. Available from: https://www.cdc.gov/poxvirus/monkeypox/response/2022/demographics.html. [Google Scholar]
  • 7.Purnat TD, Vacca P, Czerniak C, Ball S, Burzo S, Zecchin T, et al. Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations. JMIR Infodemiology. 2021;1(1):e30971. doi: 10.2196/30971 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bhagavathula AS, Khubchandani J. Monkeypox outbreaks and global health emergency declaration: Can such declarations influence public interest in the disease? Brain Behav Immun. 2022;106:113–4. Epub 20220817. doi: 10.1016/j.bbi.2022.08.009 ; PubMed Central PMCID: PMC9381940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tangcharoensathien V, Calleja N, Nguyen T, Purnat T, D’Agostino M, Garcia-Saiso S, et al. Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. J Med Internet Res. 2020;22(6):e19659. doi: 10.2196/19659 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yan Y, Malik AA, Bayham J, Fenichel EP, Couzens C, Omer SB. Measuring voluntary and policy-induced social distancing behavior during the COVID-19 pandemic. Proceedings of the National Academy of Sciences. 2021;118(16):e2008814118. doi: 10.1073/pnas.2008814118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Dai H, Saccardo S, Han MA, Roh L, Raja N, Vangala S, et al. Behavioural nudges increase COVID-19 vaccinations. Nature. 2021;597(7876):404–9. doi: 10.1038/s41586-021-03843-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Harapan H, Ophinni Y, Megawati D, Frediansyah A, Mamada SS, Salampe M, et al. Monkeypox: A Comprehensive Review. Viruses [Internet]. 2022; 14(10). doi: 10.3390/v14102155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ophinni Y, Frediansyah A, Sirinam S, Megawati D, Stoian AM, Enitan S, et al. Monkeypox: Immune response, vaccination and preventive efforts. Narra J. 2022;2(3). 10.52225/narra.v2i3.90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Fine P, Jezek Z, Grab B, Dixon H. The Transmission Potential of Monkeypox Virus in Human Populations. International Journal of Epidemiology. 1988;17(3):643–50. doi: 10.1093/ije/17.3.643 [DOI] [PubMed] [Google Scholar]
  • 15.Kozlov M. Monkeypox vaccination begins—can the global outbreaks be contained? Nature 2022;606:444–5. doi: 10.1038/d41586-022-01587-1 [DOI] [PubMed] [Google Scholar]
  • 16.Centers for Disease Control and Prevention. JYNNEOS Vaccine 2022. [cited 2022 November 1]. Available from: https://www.cdc.gov/poxvirus/monkeypox/vaccines/jynneos.html. [Google Scholar]
  • 17.Hazra A, Rusie L, Hedberg T, Schneider JA. Human Monkeypox Virus Infection in the Immediate Period After Receiving Modified Vaccinia Ankara Vaccine. JAMA. 2022. doi: 10.1001/jama.2022.18320 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Payne AB, Ray LC, Kugeler KJ, Fothergill A, White EB, Canning M, et al. Incidence of Monkeypox Among Unvaccinated Persons Compared with Persons Receiving ≥1 JYNNEOS Vaccine Dose—32 U.S. Jurisdictions, July 31-September 3, 2022. MMWR Morb Mortal Wkly Rep. 2022;71(40):1278–82. Epub 20221007. doi: 10.15585/mmwr.mm7140e3 ; PubMed Central PMCID: PMC9541026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Centers for Disease Control and Prevention. Monkeypox Vaccination Basics 2022. [cited 2022 November 5]. Available from: https://www.cdc.gov/poxvirus/monkeypox/vaccines/vaccine-basics.html. [Google Scholar]
  • 20.Di Giulio DB, Eckburg PB. Human monkeypox: an emerging zoonosis. Lancet Infect Dis. 2004;4(1):15–25. doi: 10.1016/s1473-3099(03)00856-9 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ndugga N, Haldar S, Pillai D, Hill L, Artiga S. Monkeypox (MPX) Cases and Vaccinations by Race/Ethnicity: Kaiser Family Foundation,; 2022. Available from: https://www.kff.org/racial-equity-and-health-policy/issue-brief/monkeypox-mpx-cases-and-vaccinations-by-race-ethnicity/. [Google Scholar]
  • 22.Bragazzi NL, Khamisy-Farah R, Tsigalou C, Mahroum N, Converti M. Attaching a stigma to the LGBTQI+ community should be avoided during the monkeypox epidemic. Journal of Medical Virology. n/a(n/a). 10.1002/jmv.27913. [DOI] [PubMed]
  • 23.Bragazzi NL, Kong JD, Mahroum N, Tsigalou C, Khamisy-Farah R, Converti M, et al. Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review. Journal of Medical Virology. n/a(n/a). 10.1002/jmv.27931. [DOI] [PubMed]
  • 24.UNICEF. Immunization. UNICEF, 2022. [Google Scholar]
  • 25.Trujillo K, Green J, Safarpour A, Lazer D, Lin J, Motta M. Covid-19 Spillover Effects onto General Vaccine Attitudes OSF Preprints. 2022. 10.31219/osf.io/w7mq5. [DOI] [Google Scholar]
  • 26.Ellingson M, Omer S, Sevdalis N, Thomson A. Validation of the Vaccination Trust Indicator (VTI) in a Multi-Country Survey of Adult Vaccination Attitudes (in press). PLOS Global Health. 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.United States Census Bureau. American Community Survey Data 2021. [cited 2022 June 16]. Available from: https://www.census.gov/programs-surveys/acs/data.html. [Google Scholar]
  • 28.Centers for Disease Control and Prevention. COVID-19 Vaccinations in the United States 2022. [cited 2022 June 16]. Available from: https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-total-admin-rate-total. [Google Scholar]
  • 29.Alshahrani NZ, Alzahrani F, Alarifi AM, Algethami MR, Alhumam MN, Ayied HAM, et al. Assessment of Knowledge of Monkeypox Viral Infection among the General Population in Saudi Arabia. Pathogens. 2022;11(8):904. doi: 10.3390/pathogens11080904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Oyeyemi SO, Gabarron E, Wynn R. Ebola, Twitter, and misinformation: a dangerous combination? BMJ: British Medical Journal. 2014;349:g6178. doi: 10.1136/bmj.g6178 [DOI] [PubMed] [Google Scholar]
  • 31.Loomba S, de Figueiredo A, Piatek SJ, de Graaf K, Larson HJ. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour. 2021;5(3):337–48. doi: 10.1038/s41562-021-01056-1 [DOI] [PubMed] [Google Scholar]
  • 32.World Health Organization. Multi-country monkeypox outbreak: situation update Geneva2022 [cited 2022 June 28]. Available from: https://www.who.int/emergencies/disease-outbreak-news/item/2022-DON396.
  • 33.Centers for Disease Control and Prevention. How it Spreads 2022. [cited 2022 June 28]. Available from: https://www.cdc.gov/poxvirus/monkeypox/transmission.html. [Google Scholar]
  • 34.Brainard J. Riding the Twitter Wave: Science; 2022. [cited 2022 June 16]. Available from: https://www.science.org/content/article/twitter-transformed-science-communication-pandemic-will-last. [DOI] [PubMed] [Google Scholar]
  • 35.McFadden S, Malik AA, Aguolu O, Willebrand K, Omer SB. Perceptions of the adult US population regarding the novel coronavirus outbreak. PLOS ONE. 2020;15(4):e0231808. doi: 10.1371/journal.pone.0231808 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sallam M, Al-Mahzoum K, Al-Tammemi AaB, Alkurtas M, Mirzaei F, Kareem N, et al. Assessing Healthcare Workers&rsquo; Knowledge and Their Confidence in the Diagnosis and Management of Human Monkeypox: A Cross-Sectional Study in a Middle Eastern Country. Healthcare [Internet]. 2022; 10(9). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Riccò M, Ferraro P, Camisa V, Satta E, Zaniboni A, Ranzieri S, et al. When a Neglected Tropical Disease Goes Global: Knowledge, Attitudes and Practices of Italian Physicians towards Monkeypox, Preliminary Results. Tropical Medicine and Infectious Disease [Internet]. 2022; 7(7). doi: 10.3390/tropicalmed7070135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ennab F, Nawaz FA, Narain K, Nchasi G, Essar MY, Head MG, et al. Monkeypox Outbreaks in 2022: Battling Another “Pandemic” of Misinformation. International Journal of Public Health. 2022;67. doi: 10.3389/ijph.2022.1605149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lancet The. Reviving the US CDC. Lancet. 2020;395(10236):1521. doi: 10.1016/S0140-6736(20)31140-5 ; PubMed Central PMCID: PMC7255307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.World Health Organization. Communicating risk in public health emergencies. 2018. [Google Scholar]
  • 41.Brewer NT, Weinstein ND, Cuite CL, Herrington JE. Risk perceptions and their relation to risk behavior. Annals of Behavioral Medicine. 2004;27(2):125–30. doi: 10.1207/s15324796abm2702_7 [DOI] [PubMed] [Google Scholar]
  • 42.Winters M, Jalloh MF, Sengeh P, Jalloh MB, Zeebari Z, Nordenstedt H. Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone. BMC Public Health. 2020;20(1):1539. doi: 10.1186/s12889-020-09648-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Thornhill JP, Barkati S, Walmsley S, Rockstroh J, Antinori A, Harrison LB, et al. Monkeypox Virus Infection in Humans across 16 Countries—April–June 2022. New England Journal of Medicine. 2022;387(8):679–91. doi: 10.1056/NEJMoa2207323 [DOI] [PubMed] [Google Scholar]
  • 44.Wang CC, Prather KA, Sznitman J, Jimenez JL, Lakdawala SS, Tufekci Z, et al. Airborne transmission of respiratory viruses. Science. 2021;373(6558):eabd9149. doi: 10.1126/science.abd9149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Rosiello D, Anwar S, Yufika A, Adam R, Ismaeil M, Ismail A, et al. Acceptance of COVID-19 vaccination at different hypothetical efficacy and safety levels in ten countries in Asia, Africa, and South America. Narra J. 2021;1(3):e55. doi: 10.52225/narra.v1i3.55 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Otterman S. A Monkeypox Vaccine Is Now Available for New Yorkers Who May Be at Risk New York New York Times; 2022. [cited 2022 June 23]. Available from: https://www.nytimes.com/2022/06/23/nyregion/monkeypox-vaccine-new-york.html. [Google Scholar]

Decision Letter 0

Harapan Harapan

3 Nov 2022

PONE-D-22-27559Attitudes towards Monkeypox vaccination and predictors of vaccination intentions among the US general publicPLOS ONE

Dear Dr. Winters,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Dec 18 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Harapan Harapan, MD, PhD

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

""Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter."""

4. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: 1. Authors consider to assess previous “COVID-19 vaccination status” as the predictor (only those > 45 y.o. asked for previous smallpox vaccination). In the case of COVID-19, previous influenza vaccination was studied as the predictor due to the similar characteristics of these disease. Why are the reasons behind this? What about the COVID-19 vaccination coverage in the US?

2. Results from questionnaire validation should be presented per-item.

3. Why occupation is not included in the patients characteristics?

4. In Education variables; what are the differences between college and some college. And why education was not assessed as the predictor?

5. Line 252-257. Regarding the vaccination safety. This may be of interest to authors to compare the results obtained from countries in Asia, Africa, and South America. Rosiello et al 2021 Narra J 1(3):e55 doi: 10.52225/narra.v1i3.55

6. “healthy lifestyle” what is the concept that vaccination could be a part of healthy lifestyle. Kindly explain.

Reviewer #2: Thanks for the invitation to review this interesting and timely manuscript.

In the current study, Maike Winters et al. conducted a KAP study on the monkeypox vaccination using a sample of adults in the US.

The major results pointed to relatively high prevalence of vaccine hesitancy or rejection besides the poor knowledge about the emerging disease in about half of the study sample.

Overall, the study is well-written with a clear description of the methodology, and clear presentation of the results. However, the Introduction and Discussion can benefit from a thorough literature review besides the need to mention the potential study limitations.

Minor points:

1. In line 35: it is recommended not to start a sentence with a number “46% of respondents…”

2. In the Introduction, the authors can benefit from the following recent references on the topic of monkeypox prevention through vaccination:

A. https://narraj.org/main/article/view/90

B. https://www.mdpi.com/1999-4915/14/10/2155

3. In the Introduction, the authors can benefit from the following recent reference on the role of MSM as a risk group and the importance of preventing stigma and discrimination towards this group:

A. https://doi.org/10.1002/jmv.27913

B. https://doi.org/10.1002/jmv.27931

4. In the Methods, line 90: please provide more details regarding the online recruitment tool “CloudResearch”

5. In the Methods, please provide more details regarding the approach used for sample size calculation.

6. In the Discussion section, the authors can improve the discussion by checking the following recent references representing KAP studies addressing monkeypox:

A. https://www.mdpi.com/2414-6366/7/7/135

B. https://www.mdpi.com/2227-9032/10/9/1722

C. https://www.mdpi.com/2076-0817/11/8/904

7. The authors should add a limitations section to address the potential caveats of the study. E.g. possible selection bias, measurement bias, lack of data on sexual orientation of the participants.

8. The supplementary table can be moved into the main text.

Thank you!

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Muhammad Iqhrammullah

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Dec 1;17(12):e0278622. doi: 10.1371/journal.pone.0278622.r002

Author response to Decision Letter 0


7 Nov 2022

We would like to thank the reviewers for their comments and suggestions on our manuscript. We have addressed each comment in the letter below, our answers are marked in blue. We have also indicated where changes in the manuscript were made.

On behalf of the authors,

Dr. Maike Winters

Reviewer 1

1. Authors consider to assess previous “COVID-19 vaccination status” as the predictor (only those > 45 y.o. asked for previous smallpox vaccination). In the case of COVID-19, previous influenza vaccination was studied as the predictor due to the similar characteristics of these disease. Why are the reasons behind this? What about the COVID-19 vaccination coverage in the US?

Thank you for these questions. Given how polarizing the COVID-19 pandemic and COVID-19 vaccination has been, especially in the US where our study takes place, we hypothesized that COVID-19 vaccination status could be a predictor of vaccination attitudes and intentions of other vaccines. The recently reported substantial decrease in routine immunization coverage around the world is an example of this: even when vaccination services resumed around the world in 2021, the decrease in coverage continued (See UNICEF data: https://data.unicef.org/topic/child-health/immunization/ ). More negative attitudes towards the COVID-19 vaccines (and thus, likely not being vaccinated against COVID-19) could therefore also influence Monkeypox vaccination intentions.

2. Results from questionnaire validation should be presented per-item.

Thank you for this comment and apologies if there is some confusion around the Vaccine Trust Indicator. This scale has been validated in previous surveys, the manuscript of which is currently under submission at a peer-reviewed journal. The aim of our study was therefore not to validate it, but merely to use it as a consolidated predictor of vaccine acceptance.

3. Why occupation is not included in the patients characteristics?

We have not included occupation in the characteristics description, because we have not asked about this in the survey. Our socio-demographic characteristics include age, gender, education, race and ethnicity. Especially education correlates strongly with occupation - to keep the survey length manageable we opted to only ask about education.

4. In Education variables; what are the differences between college and some college. And why education was not assessed as the predictor?

Thank you for this question. The ‘Some college’ category means that people enrolled in college, but did not graduate. The ‘College’ category means that people have graduated from college. We did not find a statistically significant association between education and Monkeypox vaccination intention, which is why we have not separately reported it in table 4. However, the adjusted associations shown in table 4 are adjusted for education, as reported in the table’s footnotes.

5. Line 252-257. Regarding the vaccination safety. This may be of interest to authors to compare the results obtained from countries in Asia, Africa, and South America. Rosiello et al 2021 Narra J 1(3):e55 doi: 10.52225/narra.v1i3.55

Thank you for sharing this interesting paper. We have added a sentence in the Discussion:

‘While our study looked at risk perception of the disease, the perceived risk of side effects and perceptions of vaccine efficacy can influence vaccination intentions as well (Rosiello 2021).’ (Lines 288-290)

6. “healthy lifestyle” what is the concept that vaccination could be a part of healthy lifestyle. Kindly explain.

This is part of the Vaccine Trust Indicator, a 6-item scale that has recently been validated (see answer to question 2). The idea of this statement around ‘healthy lifestyle’ is the notion that people have more positive attitudes towards vaccination (and are more likely to be vaccinated) when they perceive vaccination to be part of their attempts to live a healthy lifestyle.

Reviewer 2

Thanks for the invitation to review this interesting and timely manuscript.

In the current study, Maike Winters et al. conducted a KAP study on the monkeypox vaccination using a sample of adults in the US.

The major results pointed to relatively high prevalence of vaccine hesitancy or rejection besides the poor knowledge about the emerging disease in about half of the study sample.

Overall, the study is well-written with a clear description of the methodology, and clear presentation of the results. However, the Introduction and Discussion can benefit from a thorough literature review besides the need to mention the potential study limitations.

Thank you for these nice words. We have answered your questions and comments below.

Minor points:

1. In line 35: it is recommended not to start a sentence with a number “46% of respondents…”

Thank you for noticing this, we have changed the order of the sentence:

‘If recommended, 46% of respondents intended to get vaccinated against Monkeypox,...’ (lines 35,36)

2. In the Introduction, the authors can benefit from the following recent references on the topic of monkeypox prevention through vaccination:

A. https://narraj.org/main/article/view/90

B. https://www.mdpi.com/1999-4915/14/10/2155

These are great resources, thank you for sharing. As the introduction in our manuscript has gotten slightly outdated since we submitted it, we have now updated the section on the vaccines to reflect the latest evidence on real-world effectiveness and the vaccination strategy in the US. We have added the two papers in the references. Please see lines 66-86 in the Introduction.

3. In the Introduction, the authors can benefit from the following recent reference on the role of MSM as a risk group and the importance of preventing stigma and discrimination towards this group:

A. https://doi.org/10.1002/jmv.27913

B. https://doi.org/10.1002/jmv.27931

Thank you for these papers, we have added a sentence in the introduction on the importance of communication in preventing stigma and discrimination towards high risk groups, see lines 92-93:

‘In communication with the general public, special care should be taken to prevent stigmatization and discrimination towards high risk groups, such as MSM (Bragazzi 2022, Bragazzi 2022).’

4. In the Methods, line 90: please provide more details regarding the online recruitment tool “CloudResearch”

We have updated the Methods to include more information:

‘A representative sample of the U.S. adult population was recruited through market research company CloudResearch in early June 2022. Participants received a small monetary incentive after completing the survey.’ (lines 111-113)

5. In the Methods, please provide more details regarding the approach used for sample size calculation.

To calculate our sample size, we used a conservative number of estimated vaccination intentions among the US adult population of 50%, and a margin of error of 4%. This led to a sample size of 600, which we have increased to 800 to account for missing data. This has been updated in the manuscript, see lines 118-120.

6. In the Discussion section, the authors can improve the discussion by checking the following recent references representing KAP studies addressing monkeypox:

A. https://www.mdpi.com/2414-6366/7/7/135

B. https://www.mdpi.com/2227-9032/10/9/1722

C. https://www.mdpi.com/2076-0817/11/8/904

Thank you for sharing these papers. We have added references to the discussion. The Alsharani paper we cite in lines 248-250, as a comparison of general public’s knowledge outside of the US.

‘The low levels of self-assessed knowledge about Monkeypox are in line with general public’s Monkeypox knowledge elsewhere (Alsharani 2022) and indicate the need for clear communication about the outbreak.’

The papers by Sallam et al an Ricco et all are cited in the section where we discuss the importance of keeping health workers updated (lines 268-272):

‘To be able to communicate effectively about the outbreak and advise their patients, it would be important to target health workers specifically with ongoing updates around the outbreak and providing practical tools to communicate with their patients, as recent surveys (outside the US) have found that health worker knowledge about Monkeypox is suboptimal (Sallam 2022, Ricco 2022).’

7. The authors should add a limitations section to address the potential caveats of the study. E.g. possible selection bias, measurement bias, lack of data on sexual orientation of the participants.

Thank you for this comment. We have now added a section called ‘Strengths & Limitations’ to the Discussion (lines 305-316):

‘Strengths & Limitations

A major strength of our study was the ability to collect data from a representative sample of the US adult population, giving a rapid overview of knowledge gaps, vaccine attitudes and communication needs in a new outbreak. Limitations of the study include the fact that this is a cross-sectional survey – we cannot determine the direction of the associations we observed as reverse causality may have played a role. While we sampled using quotas to make the sample as representative as possible to the US adult population, it may be that certain groups were over- or under-sampled. We mitigated this by adding survey weights to the analysis. Given that the Monkeypox outbreak mainly affected MSM at the time of the survey, there may have been stigma and a selection bias in our study. This may have resulted in more negative attitudes towards vaccination. Lastly, we did not ask about the sexual orientation of the participants, which could have influenced vaccination intentions.’

8. The supplementary table can be moved into the main text.

We have moved the supplementary table to the main manuscript, where it is listed as Table 5.

Thank you!

Attachment

Submitted filename: Rebuttal_Monkeypox_PONE.docx

Decision Letter 1

Harapan Harapan

17 Nov 2022

PONE-D-22-27559R1Attitudes towards Monkeypox vaccination and predictors of vaccination intentions among the US general publicPLOS ONE

Dear Dr. Winters,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jan 01 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Harapan Harapan, MD, PhD

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Query 1. Please elaborate your response in the introduction.

Query 2. Please make a disclaimer that the validation has been carried out and will be published elsewhere. Also, please provide us the non-published supplementary file for the questionnaire validation.

Query 3. Please elaborate this (occupation as participants’ characteristic) as the research weakness since we cannot conclude whether the participants are general public or probably they are predominated by health care workers.

Query 6. Please explain why vaccination is considered a healthy lifestyle aspect in the paper.

Additional Query. Since it is lacking, please enrich the introduction with explanations about the MPXV vaccine, example of the reference: Ophinni et al. 2022. Narra J 2(3): e90 DOI: 10.52225/narra.v2i3.90

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Muhammad Iqhrammullah

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2022 Dec 1;17(12):e0278622. doi: 10.1371/journal.pone.0278622.r004

Author response to Decision Letter 1


18 Nov 2022

Rebuttal letter Revision 2

We thank the reviewer for his additional comments. Our answers are in blue below. Please note that with the previous revision, we uploaded the dataset on OSF: https://osf.io/zxdjs/.

Reviewer #1: Query 1. Please elaborate your response in the introduction.

We have added the following sentences to the introduction, lines 119-124:

‘While the historic drop in routine childhood immunization coverage in the world is likely due to a myriad of factors, attitudes towards COVID-19 vaccines as well as COVID-19 vaccination status may have played a role (UNICEF 2021). A recent study (not yet peer-reviewed) points to the potential spillover effect from the COVID-19 pandemic, whereby COVID-19 vaccination status and attitudes negatively influence attitudes and vaccination intentions of other vaccines (Trujillo 2022).’

Query 2. Please make a disclaimer that the validation has been carried out and will be published elsewhere. Also, please provide us the non-published supplementary file for the questionnaire validation.

We have added to the Methods, lines 172-176:

‘The Vaccine Trust Indicator (VTI) comprised six items around various aspects of vaccine trust. For instance, about trust in vaccine manufacturers and pharmaceutical companies, trust in the Ministry of Health and understanding how vaccination helps to fight infectious diseases. The scale has been validated and is described in more detail elsewhere (Ellingson 2022).’

As the Ellingson paper is currently under submission elsewhere, we are not able to add the validation results in this paper as a supplement.

Query 3. Please elaborate this (occupation as participants’ characteristic) as the research weakness since we cannot conclude whether the participants are general public or probably they are predominated by health care workers.

Thank you for highlighting this. We have added a sentence in the Strength & Limitations section of the Discussion on this:

‘Furthermore, unmeasured confounders, such as occupation, may have influenced the results.’ (Line 370-371).

We do note that CloudResearch is a market research company that has provided reliable and representative data on the US general public. Their data collection methodology can be found here: https://go.cloudresearch.com/knowledge/how-does-turkprime-know-panel-demographic-data

For instance, the paper by Malik et al (see: https://www.sciencedirect.com/science/article/pii/S258953702030239X ), predicted that 67% of the US general public would get vaccinated against COVID-19, before vaccines were introduced, based on a dataset generated through CloudResearch. That number has held up very well in the real world, demonstrating the generalizability of the data.

Query 6. Please explain why vaccination is considered a healthy lifestyle aspect in the paper.

This statement is part of the Vaccine Trust Indicator, which has been validated elsewhere, as noted under query 2. It is beyond the scope of this paper to describe the reasons why this particular statement was included in the scale. As described in our previous revision, we can assume that people have more positive attitudes towards vaccination when they perceive vaccination to be part of a healthy lifestyle.

Additional Query. Since it is lacking, please enrich the introduction with explanations about the MPXV vaccine, example of the reference: Ophinni et al. 2022. Narra J 2(3): e90 DOI: 10.52225/narra.v2i3.90

Thank you for this recommendation. This citation was already in our reference list, please see reference number 13 and relevant text as below, line 86-109:

‘Fortunately, and contrary to the first year of the COVID-19 pandemic, there are vaccines available against Monkeypox: second and third generation smallpox vaccines.(12-15) The third generation vaccine, the Modified Vaccinia Ankara-Bavarian Nordic vaccine (JYNNEOS), is the primary vaccine being used in the current outbreak in the U.S.(16) At the start of the 2022 global outbreak, their real-world effectiveness was not firmly established, as data were based on observational studies of first-generation smallpox vaccines in the Democratic Republic of the Congo in the 1980s.(14,17) As the 2022 outbreak progressed, real-world vaccine performance data suggest that the JYNNEOS vaccines offers some protection against Monkeypox.(17,18) For instance, in the U.S., the incidence was 14 times higher in unvaccinated males compared to males who had received at least one dose of the JYNNEOS vaccine.(18) In the U.S., the current vaccination strategy includes post-exposure prophylaxis for people who are known contacts to someone with Monkeypox. The vaccine is recommended as pre-exposure prophylaxis for those with higher risk of exposure to Monkeypox, for instance MSM.(19)’

Attachment

Submitted filename: Rebuttal letter Revision 2-PLOSONE.docx

Decision Letter 2

Harapan Harapan

21 Nov 2022

Attitudes towards Monkeypox vaccination and predictors of vaccination intentions among the US general public

PONE-D-22-27559R2

Dear Dr. Winters,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Harapan Harapan, MD, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

During the final proofread please ensure:

All p-values with 0.000 should be corrected to <0.001. 

In text reference numbers should be placed before the not (.) not after the dot (.)

Title of Table 3: Please provide "(n = xxx)"

All P should be small p.

Reviewers' comments:

Acceptance letter

Harapan Harapan

23 Nov 2022

PONE-D-22-27559R2

Attitudes towards Monkeypox vaccination and predictors of vaccination intentions among the US general public

Dear Dr. Winters:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Harapan Harapan

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Rebuttal_Monkeypox_PONE.docx

    Attachment

    Submitted filename: Rebuttal letter Revision 2-PLOSONE.docx

    Data Availability Statement

    All data files are available from the OSF database: https://osf.io/zxdjs/.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES