Abstract
We assess monkeypox vaccination acceptance among male adults in the European Region. We conducted an online survey through two dating apps targeting men who have sex with men, from 30 July to 12 August 2022. We developed Bayesian hierarchical logistic regression models to investigate monkeypox vaccination acceptance. Overall crude vaccination acceptance was 82% and higher in north-western compared to south-eastern European regions. Acceptance strongly rose with perception of increased disease severity and transmission risk, and in individuals linked to healthcare.
Keywords: Monkeypox; Vaccination; Process, acceptance; men who have sex with men; survey
Since March 2022, a multi-country outbreak of the monkeypox (MPX) virus has been predominantly affecting gay, bisexual and other men who have sex with men (MSM) in non-endemic countries. Data suggest that immunisation against smallpox confers a high degree of protection and immunity against MPX virus [1]. Nonetheless, vaccine hesitancy may pose an important barrier to control efforts. In this study, we assess the acceptance of MPX vaccination among male adult users of smartphone-based online gay-dating apps in the World Health Organization (WHO) European Region.
Survey and participants
We conducted an online survey among adults ≥ 18-years old using two smartphone-based online gay-dating apps, Grindr and Hornet, in the WHO European Region. Users of both dating apps are primarily MSM. The survey was built and delivered through the European Union (EU) Survey platform [2] and translated into 25 different languages. It was advertised on the two apps, as well as through community-based organisations (CBOs) across the European Region. On the Grindr app, pop-up messages were used with a click-through rate of 6.35% on 30 July (range among 41 countries: 2.94% to 9.05%) and 5.73% on 7 August (range among 25 countries: 8.67% to 2.94%). On the Hornet app, users received an inbox message with the link of the survey, which had an overall click-through rate of 15.1% during the 30 July–12 August period. Data related to the Netherlands were collected through a web survey on other platforms according to the same protocol [3] albeit with a few questions from the app-based survey omitted (see second table’s footnote).
Among 32,902 individuals who answered the survey, the median age was 38 years (interquartile range (IQR): 30–47). Most of the respondents were living in the Western and Mediterranean subregions of Europe (Table 1 and Supplementary Material S1 where subregions of the European Region referred to in the current study are described), and 16.3% (n = 5,378) were migrants (defined as having a country of birth different from their country of residence), mostly coming from South America or another European country (Table 1 and Supplementary Material S1 and S2 for the regional categorisation, as well as S4 for sample description by region of residence).
Table 1. Sociodemographic characteristics of respondents of the monkeypox vaccine acceptance survey, World Health Organization European Region, 30 July–12 August 2022.
Characteristic | Sample description | Vaccine acceptancea | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Number | %b | Acceptance number |
%c | Hesitancy number |
%c | Refusal number |
% | No answer/ missing number |
%c | |
Total | 32,902 | 100 | 26,980 | 82 | 2,890 | 8.8 | 2,686 | 8.2 | 346 | 1.1 |
Median age in years (IQR) | 38 (30–47) | 39 (30–48) | 35 (27–45) | 36 (28–45) | 38 (31–50) | |||||
Age category in years | ||||||||||
18–29 | 7,724 | 23.5 | 5,967 | 77.3 | 915 | 11.8 | 767 | 9.9 | 75 | 1.0 |
30–39 | 9,802 | 29.8 | 8,003 | 81.6 | 859 | 8.8 | 827 | 8.4 | 113 | 1.2 |
40–49 | 8,549 | 26.0 | 7,220 | 84.5 | 626 | 7.3 | 633 | 7.4 | 70 | 0.8 |
50–84 | 6,827 | 20.7 | 5,790 | 84.8 | 490 | 7.2 | 459 | 6.7 | 88 | 1.3 |
Subregion of residenced | ||||||||||
Baltics | 131 | 0.4 | 106 | 80.9 | 15 | 11.5 | 10 | 7.6 | 0 | 0.0 |
Central Europe | 2,628 | 8.0 | 1,760 | 67.0 | 376 | 14.3 | 472 | 18.0 | 20 | 0.8 |
Eastern Europe | 1,602 | 4.9 | 1,060 | 66.2 | 274 | 17.1 | 249 | 15.5 | 19 | 1.2 |
Mediterranean Europe | 11,424 | 34.7 | 9,826 | 86.0 | 856 | 7.5 | 686 | 6.0 | 56 | 0.5 |
Northern Europe | 3,126 | 9.5 | 2,725 | 87.2 | 223 | 7.1 | 164 | 5.2 | 14 | 0.4 |
South-East Europe | 1,901 | 5.8 | 1,284 | 67.5 | 299 | 15.7 | 302 | 15.9 | 16 | 0.8 |
Western Europe | 12,090 | 36.7 | 10,219 | 84.5 | 847 | 7.0 | 803 | 6.6 | 221 | 1.8 |
Migrants | ||||||||||
No | 27,524 | 83.7 | 22,400 | 81.4 | 2,532 | 9.2 | 2,329 | 8.5 | 263 | 1.0 |
Yes | 5,378 | 16.3 | 4,580 | 85.2 | 358 | 6.7 | 357 | 6.6 | 83 | 1.5 |
European subregion or other world region of origind | ||||||||||
Baltics | 47 | 0.9 | 39 | 83.0 | 3 | 6.4 | 4 | 8.5 | 1 | 2.1 |
Caribbean | 86 | 1.6 | 75 | 87.2 | 5 | 5.8 | 2 | 2.3 | 4 | 4.7 |
Central America | 150 | 2.8 | 141 | 94.0 | 2 | 1.3 | 6 | 4.0 | 1 | 0.7 |
Central Europe | 420 | 7.8 | 312 | 74.3 | 53 | 12.6 | 46 | 11.0 | 9 | 2.1 |
Eastern Europe | 292 | 5.4 | 209 | 71.6 | 38 | 13.0 | 41 | 14.0 | 4 | 1.4 |
Eastern Mediterranean | 254 | 4.7 | 212 | 83.5 | 20 | 7.9 | 17 | 6.7 | 5 | 2.0 |
Mediterranean Europe | 713 | 13.3 | 617 | 86.5 | 45 | 6.3 | 44 | 6.2 | 7 | 1.0 |
Northern America | 210 | 3.9 | 189 | 90.0 | 8 | 3.8 | 13 | 6.2 | 0 | 0.0 |
Northern Europe | 130 | 2.4 | 115 | 88.5 | 9 | 6.9 | 6 | 4.6 | 0 | 0.0 |
South America | 1,241 | 23.1 | 1,157 | 93.2 | 49 | 3.9 | 29 | 2.3 | 6 | 0.5 |
South-East Asia | 67 | 1.2 | 52 | 77.6 | 9 | 13.4 | 4 | 6.0 | 2 | 3.0 |
South-East Europe | 315 | 5.9 | 232 | 73.7 | 36 | 11.4 | 44 | 14.0 | 3 | 1.0 |
Sub-Saharan Africa | 166 | 3.1 | 136 | 81.9 | 14 | 8.4 | 12 | 7.2 | 4 | 2.4 |
Western Europe | 1,037 | 19.3 | 886 | 85.4 | 58 | 5.6 | 83 | 8.0 | 10 | 1.0 |
Western Pacific | 155 | 2.9 | 142 | 91.6 | 7 | 4.5 | 3 | 1.9 | 3 | 1.9 |
Unclear regione | 95 | 1.8 | 66 | 69.5 | 2 | 2.1 | 3 | 3.2 | 24 | 25.3 |
IQR: interquartile range.
a Monkeypox vaccine acceptance and hesitancy were measured by how many respondents agreed with the following statement: ‘If the vaccine for monkeypox is offered to you, will you get vaccinated?’ A five-point Likert-type rating scale was used with the following range of choices: ‘I will get vaccinated, probably yes, not sure, probably not, I won’t get vaccinated, I don’t want to answer.’ Those who chose ‘I will get vaccinated’ or ‘Probably yes’ were defined as accepting. Those who chose ‘not sure’ were defined as hesitant. Those who chose ‘probably not’ or ‘I won’t get vaccinated’ were defined as refusal (Supplementary Material S3 for sample description for the whole five-point Likert-type rating scale).
b The denominator of the percentages is the total sample for all characteristics apart from the region of origin, for which the denominator is the total number of migrant respondents.
c The percentage is calculated based on the total number of participants in the same sub-category (i.e. second column of the table on the same row).
d The countries considered in each European subregion are described in the Supplementary Material sections S1 and S2. Countries considered in regions outside of Europe are described in Supplementary Material S2.
e The region was not clearly identifiable from the respondent answer.
Overall, 11.5% (n = 3,780) of respondents were people living with HIV (PLWHIV) on antiretroviral therapy (ART), 0.4% (n = 123) were PLWHIV not on ART (Table 2). Of those who were HIV-negative, 26.1% (7,210/27,585) among those who provided information reported using pre-exposure prophylaxis (PrEP) for HIV in the last 3 months. Almost a quarter of respondents (18.7%; n = 6,156) were diagnosed with a sexually transmitted infection (STI) in the last 12 months and 8.8% (n = 2,892) had engaged in chemsex (defined as having used mephedrone, GHB/GBL, ketamine or crystal methamphetamine during sex with other sexual partners) [4] in the last 3 months.
Table 2. Clinical, risk behaviour characteristics as well as perceptions, attitudes and previous monkeypox diagnoses of respondents of the monkeypox vaccine acceptance survey, World Health Organization European Region, 30 July–12 August 2022.
Characteristic | Sample description | Vaccine acceptancea | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Number | %b | Acceptance number |
%c | Hesitancy number |
%c | Refusal number |
%c | No answer/ missing number |
%c | |
HIV | ||||||||||
HIV − | 27,585 | 83.8 | 22,538 | 81.7 | 2,467 | 8.9 | 2,303 | 8.3 | 277 | 1.0 |
HIV + on ART | 3,780 | 11.5 | 3,335 | 88.2 | 209 | 5.5 | 208 | 5.5 | 28 | 0.7 |
HIV + not on ART | 123 | 0.4 | 92 | 74.8 | 10 | 8.1 | 20 | 16.3 | 1 | 0.8 |
HIV status unknown | 989 | 3.0 | 709 | 71.7 | 156 | 15.8 | 111 | 11.2 | 13 | 1.3 |
Prefer not to answer | 339 | 1.0 | 242 | 71.4 | 40 | 11.8 | 37 | 10.9 | 20 | 5.9 |
Missing | 86 | 0.3 | 64 | 74.4 | 8 | 9.3 | 7 | 8.1 | 7 | 8.1 |
PrEPd | ||||||||||
No | 21,526 | 74.2 | 16,827 | 78.2 | 2,364 | 11 | 2,168 | 10.1 | 167 | 0.8 |
Yes | 7,210 | 24.9 | 6,543 | 90.7 | 275 | 3.8 | 261 | 3.6 | 131 | 1.8 |
Missing | 263 | 0.9 | 183 | 69.6 | 32 | 12.2 | 29 | 11.0 | 19 | 7.2 |
STI diagnosis in the last 12 months | ||||||||||
No | 26,059 | 79.2 | 20,957 | 80.4 | 2,493 | 9.6 | 2,390 | 9.2 | 219 | 0.8 |
Yes | 6,156 | 18.7 | 5,521 | 89.7 | 308 | 5 | 231 | 3.8 | 96 | 1.6 |
Unknown | 474 | 1.4 | 356 | 75.1 | 65 | 13.7 | 46 | 9.7 | 7 | 1.5 |
Prefer not to answer | 111 | 0.3 | 74 | 66.7 | 14 | 12.6 | 12 | 10.8 | 11 | 9.9 |
Missing | 102 | 0.3 | 72 | 70.6 | 10 | 9.8 | 7 | 6.9 | 13 | 12.7 |
Engaged in chemsex in last 3 months | ||||||||||
No | 29,723 | 90.3 | 24,270 | 81.7 | 2,750 | 9.3 | 2,465 | 8.3 | 238 | 0.8 |
Yes | 2,892 | 8.8 | 2,503 | 86.5 | 123 | 4.3 | 195 | 6.7 | 71 | 2.5 |
Prefer not to answer | 241 | 0.7 | 178 | 73.9 | 16 | 6.6 | 24 | 10.0 | 23 | 9.5 |
Missing | 46 | 0.1 | 29 | 63.0 | 1 | 2.2 | 2 | 4.3 | 14 | 30.4 |
Perception of personal risk of MPX infection | ||||||||||
Not worried | 4,211 | 12.8 | 2,087 | 49.6 | 630 | 15 | 1,462 | 34.7 | 32 | 0.8 |
Slightly worried | 7,277 | 22.1 | 5,696 | 78.3 | 907 | 12.5 | 613 | 8.4 | 61 | 0.8 |
Moderately worried | 7,232 | 22.0 | 6,221 | 86.0 | 658 | 9.1 | 295 | 4.1 | 58 | 0.8 |
Worried | 8,269 | 25.1 | 7,627 | 92.2 | 390 | 4.7 | 157 | 1.9 | 95 | 1.1 |
Very worried | 5,243 | 15.9 | 5,004 | 95.4 | 143 | 2.7 | 78 | 1.5 | 18 | 0.3 |
I don’t know | 630 | 1.9 | 330 | 52.4 | 161 | 25.6 | 80 | 12.7 | 59 | 9.4 |
Missing | 40 | 0.1 | 15 | 37.5 | 1 | 2.5 | 1 | 2.5 | 23 | 57.5 |
Perception of MPX severity | ||||||||||
Not severe | 1,282 | 3.9 | 527 | 41.1 | 118 | 9.2 | 625 | 48.8 | 12 | 0.9 |
Slightly severe | 3,874 | 11.8 | 2,812 | 72.6 | 443 | 11.4 | 586 | 15.1 | 33 | 0.9 |
Moderately severe | 10,170 | 30.9 | 8,495 | 83.5 | 991 | 9.7 | 634 | 6.2 | 50 | 0.5 |
Severe | 10,373 | 31.5 | 9,275 | 89.4 | 634 | 6.1 | 335 | 3.2 | 129 | 1.2 |
Very severe | 4,586 | 13.9 | 4,275 | 93.2 | 171 | 3.7 | 106 | 2.3 | 34 | 0.7 |
I don’t know | 2,581 | 7.8 | 1585 | 61.4 | 531 | 20.6 | 398 | 15.4 | 67 | 2.6 |
Missing | 36 | 0.1 | 11 | 30.6 | 2 | 5.6 | 2 | 5.6 | 21 | 58.3 |
Diagnosed with MPX (respondent or someone the respondent knows) | ||||||||||
No | 26,081 | 79.3 | 20,915 | 80.2 | 2,550 | 9.8 | 2,408 | 9.2 | 208 | 0.8 |
Yes, only me | 232 | 0.7 | 204 | 87.9 | 7 | 3.0 | 17 | 7.3 | 4 | 1.7 |
Yes, me and someone I know | 619 | 1.9 | 561 | 90.6 | 23 | 3.7 | 28 | 4.5 | 7 | 1.1 |
Yes, only someone I know | 3,830 | 11.6 | 3,545 | 92.6 | 117 | 3.1 | 102 | 2.7 | 66 | 1.7 |
I don’t know | 2,018 | 6.1 | 1,690 | 83.7 | 184 | 9.1 | 122 | 6 | 22 | 1.1 |
Prefer not to answer | 83 | 0.3 | 53 | 63.9 | 6 | 7.2 | 7 | 8.4 | 17 | 20.5 |
Missing | 39 | 0.1 | 12 | 30.8 | 3 | 7.7 | 2 | 5.1 | 22 | 56.4 |
General perception of protection provided by vaccines against diseasese | ||||||||||
Strongly disagree | 1,293 | 4.0 | 924 | 71.5 | 92 | 7.1 | 270 | 20.9 | 7 | 0.5 |
Slightly disagree | 702 | 2.2 | 262 | 37.3 | 152 | 21.7 | 280 | 39.9 | 8 | 1.1 |
Neither disagree nor agree | 951 | 3.0 | 268 | 28.2 | 249 | 26.2 | 406 | 42.7 | 28 | 2.9 |
Slightly agree | 7,139 | 22.2 | 5,133 | 71.9 | 1,046 | 14.7 | 919 | 12.9 | 41 | 0.6 |
Strongly agree | 21,590 | 67.3 | 19,651 | 91 | 1,212 | 5.6 | 677 | 3.1 | 50 | 0.2 |
I don’t know | 401 | 1.2 | 169 | 42.1 | 107 | 26.7 | 85 | 21.2 | 40 | 10.0 |
Missing | 24 | 0.1 | 8 | 33.3 | 2.0 | 8.3 | 1 | 4.2 | 13 | 54.2 |
Have you been worried about being treated differently due to monkeypoxe | ||||||||||
No | 12,245 | 38.1 | 9,363 | 76.5 | 1,228 | 10 | 1,598 | 13.1 | 56 | 0.5 |
Yes | 11,558 | 36.0 | 10,316 | 89.3 | 749 | 6.5 | 472 | 4.1 | 21 | 0.2 |
I don’t know | 5,310 | 16.5 | 4,229 | 79.6 | 661 | 12.4 | 394 | 7.4 | 26 | 0.5 |
Prefer not to answer | 257 | 0.8 | 132 | 51.4 | 38 | 14.8 | 38 | 14.8 | 49 | 19.1 |
Missing | 2,730 | 8.5 | 2,375 | 87.0 | 184 | 6.7 | 136 | 14.8 | 35 | 1.3 |
Preferred place to get vaccinatede,f | ||||||||||
In an STI clinic | 3,399 | 11.1 | 3,012 | 88.6 | 281 | 8.3 | 96 | 2.8 | 10 | 0.3 |
With my general practitioner | 5,140 | 16.8 | 4,278 | 83.2 | 609 | 11.8 | 233 | 4.5 | 20 | 0.4 |
In a community-based centre | 1,234 | 4.0 | 1,038 | 84.1 | 153 | 12.4 | 40 | 3.2 | 3 | 0.2 |
In a vaccination programme centre | 5,493 | 17.9 | 4,645 | 84.6 | 615 | 11.2 | 215 | 3.9 | 18 | 0.3 |
It doesn’t matter | 14,473 | 47.2 | 13,086 | 90.4 | 950 | 6.6 | 416 | 2.9 | 21 | 0.1 |
I don’t know | 794 | 2.6 | 297 | 37.4 | 238 | 30 | 188 | 23.7 | 71 | 8.9 |
Missing | 134 | 0.4 | 59 | 44.0 | 14 | 10.4 | 17 | 12.7 | 44 | 32.8 |
ART: antiretroviral therapy; HIV +: HIV-positive; HIV −: HIV-negative; MPX: monkeypox; PrEP: pre-exposure prophylaxis for HIV; STI: sexually transmitted infection.
a Monkeypox vaccine acceptance and hesitancy were measured as described in the footnote ‘a’ of Table 1.
b The denominator for the percentages is the total sample (n = 32,902), apart from the question related to PrEP (see footnote d) and questions not covered by the Dutch survey (see footnote e). For the PrEP question, the denominator is the number of respondents who did not declare to be HIV + (n = 28,999). For the questions not covered by the Dutch survey, the denominator is 32,100, except for the preferred place of vaccination question (n = 30,667), where the denominator also excluded those who answered ‘I won’t get vaccinated’ to the MPX vaccine acceptance question.
c The percentage is calculated based on the total number of participants in the same sub-category (i.e. second column, on the same line).
d This question was asked only to respondents not declaring to be HIV + (using ART or not) in the previous question.
e These questions were not asked in the Dutch survey.
f This question was asked only to those who did not answer ‘I won’t get vaccinated’ in the MPX vaccine acceptance question.
A total of 851 respondents (2.6%) reported that they had been diagnosed with MPX, whereas 13.5% (n = 4,449) knew someone who had been diagnosed with MPX. Overall, 45.4% (n = 14,959) thought that MPX was a ‘severe’ or ‘very severe’ disease, 56.9% (n = 18,720) were moderately, slightly, or not worried about the risk of MPX infection and 36.0% (n = 11,558) were worried about being treated differently due to MPX (Table 2).
Monkeypox vaccination acceptance
Overall, 26,980 (82.0%) respondents reported they would accept MPX vaccination (Table 1), with 20,266 (61.6%) and 6,714 (20.4%) who would respectively surely or probably accept it (Supplementary Material S3; sample description reporting all vaccine acceptance categories). A total of 2,890 (8.8%) were hesitant and 2,686 (8.2%) would likely (1,236, 3.8%) or surely (1,450, 4.4%) refuse to get vaccinated.
We used a Bayesian nested random intercept logistic regression model [5-7] to investigate the geographical heterogeneity in MPX vaccination acceptance (Supplementary Material S5; model specification). The model adjusts the estimates taking into consideration the aggregation of the respondents into countries and European subregions (Supplementary Material S1), achieving more robust estimates, including for countries with fewer respondents, by pooling information from geographical neighbours [8,9]. We reported the median posterior acceptance and the 90% credible intervals (90% CrI) [10,11].
The general estimated acceptance of MPX vaccination in our survey, after adjusting for the participants’ country of residence had a 90% CrI ranging between 68% and 85%. We observed a clear geographical gradient (Figure 1 and Supplementary Material S6; baseline MPX vaccine acceptance probabilities), with higher acceptance in Northern (90% CrI: 84.8%–90.4%), and Western Europe (90% CrI: 83.1%–87.7%) and lower acceptance in South-East (90% CrI: 60.9%–70.2%) and Eastern Europe (90% CrI: 59.9%–71.1%).
Factors associated with vaccination
A similar model was used to investigate the association between factors collected in the survey and vaccination acceptance, with and without adjusting for country and European subregion of residence through random effects. We reported the median posterior unadjusted (RR) and adjusted (aRR) vaccine acceptance relative risks and their 90% CrI (Figure 2 and Supplemental Material S7; factor association with MPX vaccine acceptance).
Vaccination acceptance was strongly associated with the belief that MPX is a ‘severe’ (aRR: 2.65; 90% CrI: 2.05–3.58) or ‘very severe’ (aRR: 2.78; 90% CrI: 2.12–3.81) disease, vs ‘not severe’ respectively. Moreover, acceptance was also strongly related to being worried (aRR: 2.02; 90% CrI: 1.69–2.54) and very worried (aRR: 2.06; 90% CrI: 1.72–2.61) about the risk of acquiring MPX infection, vs ‘not worried’ respectively (Figure 2). Having encountered the disease was associated with more acceptance, especially when encountered within a person’s own social network, such as ‘me and someone I know’ (aRR: 1.14; 90% CrI: 1.06–1.26) and ‘only someone I know’ (aRR: 1.2; 90% CrI: 1.12–1.31), vs ‘know no one with MPX’ respectively (Figure 2).
Vaccination acceptance was higher among older respondents (84.5% for 40 to 49 year-olds and 84.8% for 50 to 84 year-olds vs 77.3% for 18 to 30 year-olds, see Table 1) but the difference became much less relevant once adjusting for the respondent residence (Figure 2), reflecting the confounding due to North-Western European countries having both higher acceptance and older mean age. Nevertheless, some potential effect of age could still be seen for respondents in South-East and Central Europe, where older MSMs showed a moderately higher acceptance (Supplementary Material S9). Being migrant did not show a relevant overall association (Figure 2); however, when stratified by regions of origin, being migrant seemed to be associated with higher (Americas and Western Pacific regions) or lower (South-East Europe subregion) acceptance compared with non-migrants (Figure 2, Supplementary Material S9).
Being linked to healthcare was positively associated with vaccine acceptance: PLWHIV on ART reported a slightly higher vaccine acceptance compared with HIV-negative individuals (88.2% vs 81.7%; aRR: 1.1; 90% CrI: 1.03–1.17); the association with vaccine acceptance was stronger among HIV-negative people on PrEP vs those not on PrEP (90.7% vs 78.2%; aRR: 1.19; 90% CrI: 1.12–1.28).
Those considered to have higher risk sexual behaviours had higher vaccine acceptance rates, such as having been diagnosed with an STI in the last 12 months (89.7% vs 80.4%; aRR: 1.14; 90% CrI: 1.08–1.21) and engaging in chemsex in the last 3 months (86.5% vs 81.7%; aRR: 1.1; 90% CrI: 1.03–1.18). Conversely, being PLWHIV not on ART had lower vaccine acceptance (74.8% vs 88.2% PLWHIV on ART), however, the number of responses was too low (n = 123) to draw definitive conclusions (aRR: 0.96; 90% CrI: 0.8–1.1) especially once adjusting for region of residency.
Respondents who reported worry about being treated differently due to MPX were more likely to accept being vaccinated (89.3% vs 76.5%; aRR: 1.23; 90% CrI: 1.14–1.35).
Discussion
In this sample of MSM using smartphone-based online gay-dating apps in the WHO European Region the acceptance of MPX vaccination was high. After adjustment by country and region of residence, we found that those with high perception of susceptibility to MPX infection, beliefs that MPX is a severe disease, and worries about being treated differently due to MPX were more willing to accept MPX vaccination. These are key associated factors in determining the decision to be vaccinated, as have been described in other studies [12,13].
Our results also suggest important geographical differences in MPX vaccination acceptance, with lower rates reported by people living in South-Eastern and Central Europe as well as the Eastern European subregion. MPX vaccination acceptance might be influenced by the region of origin, as, at least from what we observe for migrants of European origin, people born outside their country of residence tend to have a similar level of acceptance to their region of birth, despite living in a region with a different level of vaccine acceptance.
Being linked to routine healthcare, for example PLWHIV on ART, HIV-negative persons on PrEP or having a recent STI diagnosis, was a positive predictor of willingness to get vaccinated. Such an association with an existing healthcare engagement was also found in a United States study, which showed a higher vaccination rate among MSM on HIV PrEP or who were recently tested for STIs [14]. Increasing HIV prevalence among MPX cases over time suggests that MPX might be increasingly transmitted among networks of persons with HIV infection [15]. The prioritisation of people linked with healthcare might be beneficial, especially with the current shortage of vaccines, as they are easier to reach and might be an important group in transmission dynamics.
Implementing an equitable MPX vaccination strategy means meeting the needs of those groups with the highest vaccine hesitancy, such as young MSM, PLWHIV who are not on ART or those with lower perception of risk of infection and for whom the links with community-based organisations and the healthcare system are weaker. Focusing on such groups is especially relevant in regions with low general acceptance levels. The health-seeking behaviours of these vulnerable groups may differ considerably compared with the other MSM subgroups, and thus health promotion efforts, as well as services, need to be tailored to meet their needs.
CBOs in Europe have experience in delivering HIV, STI and viral hepatitis health services to the MSM community [16]. Public health providers should partner with CBOs in efforts to engage with the community to educate and promote uptake of MPX vaccination. These partnerships should also be used to facilitate access to MPX vaccination at sex-on-premises venues that cater to MSM at higher risk for MPX (those engaging in chemsex and those having been diagnosed with an STI in the last 12 months) [17]. Risk communication and community engagement (RCCE) activities need to be intensified in regions with low vaccine acceptance, as part of the core public health intervention contributing to emergency response, tailored with the implementation of a MPX vaccine strategy that addresses sexual health literacy, vaccination access and structural inequities.
The findings in this report are subject to several limitations. First, this survey represents a convenience sample of MSM using smartphone-based online dating apps who chose to participate in a survey about MPX. MSM using dating apps may have higher risk behaviours compared with those not using dating apps [18]. People at self-perceived higher risk for the disease may be more prone to getting vaccinated against it which could lead to overestimates in vaccine acceptance. Second, survey completion via a dating app necessitates a degree of digital literacy among the respondents and consequently our results may not capture views of people at risk of MPX with low levels of digital literacy. Third, these data are self-reported and might be subject to response bias (e.g. social desirability bias). Fourth, it is important to take into consideration that we did not collect socioeconomic data and are therefore not able to infer their impact on MPX vaccine acceptance. Fifth, stigma was not a focus of the survey to limit the length of the survey.
Conclusions
Acceptance of MPX vaccination is high among MSM who use dating apps. Attention is needed to increase vaccination acceptance in some subregions of Europe and groups with indications of lower acceptance. MPX vaccination strategies which are part of a combined prevention approach for strengthening prevention services and increasing equitable vaccination access, engaging community, healthcare providers, civil society and public health professionals will promote MPX control in the WHO European Region.
Ethical statement
The survey was administered via the European Commission’s EU Survey management tool and served as a direct in-app message based on the language of the user’s Hornet and Grindr account (e.g. users who accessed the Russia version of Hornet and Grindr were sent the survey link in Russian). Clicking on the message took participants to our survey landing page, which provided full details of the survey, highlighting they were under no obligation to take part and were asked to opt-in and indicate their consent. The survey was anonymous, no personal information was identified, and a random number was assigned to each survey once they were saved and stored in an automatised way. No financial incentives were offered.
Funding statement
There was no funding source for this study.
Data availability
Study materials and raw data are available upon request.
Acknowledgements
We thank all study participants who contributed to our study. We are grateful to Leonidas Alexakis, Agoritsa Baka, Sören Andersson, Magdalena Ankiersztejn-Bartczak, Sladjana Baros, Daniel Cauchi, Orla Condell, Zoran Dominković, Ricardo Fuertes, Alex Garner, Benjamin Hampel, Robert Hejzák, Marie Heloury, Denisa Janta, Niklas Johansson, Arda Karapınar, Irene Kászoni-Rückerl, Sigrid Kiermayr, Csaba Kodmon, Teija Korhonen, Anna Kubátová, Giorgi Kuchukhidze, Desireé Ljungcrantz, Emily Ann Macdonald, Ulrich Marcus, Іван Тітар, Сергій Сальніков, Mariana Mardarescu, Michael Meier, Luís Mendão, Grazina Mirinaviciute, Joël Mossong, Arild Johan Myrberg, Sofiia Ohorodnik, Anne Olaug Olsen, Sini Pasanen, Maria Paulke-Korinek, Odette Popovici, Natalia Rachwal, Cianán B. Russell, Gabrielle Schittecatte, Nicole Simone Seguy, Danijela Simić, Rezana Skytt, Giorgia Soldà, Erik Sturegård, Ketevan Stvilia, Julia del Amo, Margarida Tavares, Svetla Tsolova, Ann-Isabelle Von Lingen, Alexandre Walter for support in translating the survey, to Jean-Michel Molina, Elske Hoornenborg, Laura Jane Waters, Claudia Estcourt, Chloe Orkin, Sara Paparini and Ann Sullivan for providing input on the content of the survey questions. All our gratitude to Leonardo Palumbo for his inputs.
Supplementary Data
Conflict of interest: None declared.
Authors’ contributions: Study design: TN and JRU; Data analysis: ADA and RC; First draft of manuscript: JRU, ADA and TN; Critical revision of manuscript: JRU, ADA, RC, BB, OC, AP, NDM, WN, SN, JB, GS and TN.
References
- 1. Poland GA, Kennedy RB, Tosh PK. Prevention of monkeypox with vaccines: a rapid review. Lancet Infect Dis. 2022;5(10):S1473-3099(22)00574-6. 10.1016/S1473-3099(22)00574-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Eusurvey. Available from: https://ec.europa.eu/eusurvey/runner/English_MPX_survey
- 3. Dukers-Muijrers NHTM, Evers Y, Widdershoven V, Davidovich U, Adam PCG, Op de Coul ELM, et al. Monkeypox vaccination willingness, determinants, and communication needs in gay, bisexual, and other men who have sex with men, in the context of limited vaccine availability in the Netherlands (Dutch MPX-survey). medRxiv. doi: 10.1101/2022.10.11.22280965 [DOI] [PMC free article] [PubMed]
- 4. Hibbert MP, Hillis A, Brett CE, Porcellato LA, Hope VD. A narrative systematic review of sexualised drug use and sexual health outcomes among LGBT people. Int J Drug Policy. 2021;93:103187. 10.1016/j.drugpo.2021.103187 [DOI] [PubMed] [Google Scholar]
- 5. Gelman A, Fagan J, Kiss A. An analysis of the New York City police department’s "stop-and-frisk" policy in the context of claims of racial bias. J Am Stat Assoc. 2007;102(479):813-23. 10.1198/016214506000001040 [DOI] [Google Scholar]
- 6.Gelman A, Hill J. Data analysis using regression and multilevel/hierarchical models. Cambridge university press; 2006 Dec 18.
- 7. Bürkner PC. brms: An R package for Bayesian multilevel models using Stan. J Stat Softw. 2017;80(1):1-28. 10.18637/jss.v080.i01 [DOI] [Google Scholar]
- 8. Gelman A. Multilevel (hierarchical) modeling: what it can and cannot do. Technometrics. 2006;48(3):432-5. 10.1198/004017005000000661 [DOI] [Google Scholar]
- 9. Qian SS, Cuffney TF, Alameddine I, McMahon G, Reckhow KH. On the application of multilevel modeling in environmental and ecological studies. Ecology. 2010;91(2):355-61. 10.1890/09-1043.1 [DOI] [PubMed] [Google Scholar]
- 10. Kruschke JK. Bayesian analysis reporting guidelines. Nat Hum Behav. 2021;5(10):1282-91. 10.1038/s41562-021-01177-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kruschke J. Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. Academic Press; September 14, 2022.
- 12. Wang H, d’Abreu de Paulo KJI, Gültzow T, Zimmermann HML, Jonas KJ. Monkeypox self-diagnosis abilities, determinants of vaccination and self-isolation intention after diagnosis among MSM, the Netherlands, July 2022. Euro Surveill. 2022;27(33):2200603. 10.2807/1560-7917.ES.2022.27.33.2200603 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. 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. Trop Med Infect Dis. 2022;7(7):135. 10.3390/tropicalmed7070135 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Delaney KP, Sanchez T, Hannah M, Edwards OW, Carpino T, Agnew-Brune C, et al. Strategies Adopted by Gay, Bisexual, and Other Men Who Have Sex with Men to Prevent Monkeypox virus Transmission - United States, August 2022. MMWR Morb Mortal Wkly Rep. 2022;71(35):1126-30. 10.15585/mmwr.mm7135e1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Curran KG, Eberly K, Russell OO, Snyder RE, Phillips EK, Tang EC, et al. Monkeypox, HIV, and STI Team . HIV and Sexually Transmitted Infections Among Persons with Monkeypox - Eight U.S. Jurisdictions, May 17-July 22, 2022. MMWR Morb Mortal Wkly Rep. 2022;71(36):1141-7. 10.15585/mmwr.mm7136a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Lorente N, Sherriff N, Panochenko O, Marcus U, Dutarte M, Kuske M, et al. The role of community health workers within the continuum of services for HIV, viral hepatitis, and other STIs amongst men who have sex with men in Europe. J Community Health. 2021;46(3):545-56. 10.1007/s10900-020-00900-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. 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. J Med Virol. 2022;jmv.27931. 10.1002/jmv.27931 [DOI] [PubMed] [Google Scholar]
- 18. Wang H, Zhang L, Zhou Y, Wang K, Zhang X, Wu J, et al. The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis. BMC Public Health. 2018;18(1):1178. 10.1186/s12889-018-6092-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.