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. 2021 Aug;27(8):1385-1394.
doi: 10.1038/s41591-021-01454-y. Epub 2021 Jul 16.

COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries

Julio S Solís Arce  1 Shana S Warren  2 Niccolò F Meriggi  3 Alexandra Scacco  1 Nina McMurry  1 Maarten Voors  4 Georgiy Syunyaev  1   5   6 Amyn Abdul Malik  7 Samya Aboutajdine  3 Opeyemi Adeojo  8   9 Deborah Anigo  10   11 Alex Armand  12   13 Saher Asad  14 Martin Atyera  15 Britta Augsburg  13 Manisha Awasthi  16 Gloria Eden Ayesiga  15 Antonella Bancalari  13   17   18 Martina Björkman Nyqvist  19 Ekaterina Borisova  5   20 Constantin Manuel Bosancianu  1 Magarita Rosa Cabra García  21 Ali Cheema  14   22 Elliott Collins  2 Filippo Cuccaro  23 Ahsan Zia Farooqi  22 Tatheer Fatima  16 Mattia Fracchia  12   24 Mery Len Galindo Soria  21 Andrea Guariso  25 Ali Hasanain  14 Sofía Jaramillo  21 Sellu Kallon  4   26 Anthony Kamwesigye  15 Arjun Kharel  27 Sarah Kreps  28 Madison Levine  4 Rebecca Littman  29 Mohammad Malik  22 Gisele Manirabaruta  30 Jean Léodomir Habarimana Mfura  30 Fatoma Momoh  23 Alberto Mucauque  31 Imamo Mussa  31 Jean Aime Nsabimana  30 Isaac Obara  8 María Juliana Otálora  21 Béchir Wendemi Ouédraogo  32 Touba Bakary Pare  32 Melina R Platas  33 Laura Polanco  21 Javaeria Ashraf Qureshi  29 Mariam Raheem  34 Vasudha Ramakrishna  35 Ismail Rendrá  31 Taimur Shah  34 Sarene Eyla Shaked  15 Jacob N Shapiro  36 Jakob Svensson  37 Ahsan Tariq  22 Achille Mignondo Tchibozo  32 Hamid Ali Tiwana  22 Bhartendu Trivedi  16 Corey Vernot  35 Pedro C Vicente  12   24 Laurin B Weissinger  38 Basit Zafar  34   39 Baobao Zhang  28 Dean Karlan  2   40 Michael Callen  41 Matthieu Teachout  3 Macartan Humphreys  1   6 Ahmed Mushfiq Mobarak  42 Saad B Omer  43
Affiliations

COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries

Julio S Solís Arce et al. Nat Med. 2021 Aug.

Abstract

Widespread acceptance of COVID-19 vaccines is crucial for achieving sufficient immunization coverage to end the global pandemic, yet few studies have investigated COVID-19 vaccination attitudes in lower-income countries, where large-scale vaccination is just beginning. We analyze COVID-19 vaccine acceptance across 15 survey samples covering 10 low- and middle-income countries (LMICs) in Asia, Africa and South America, Russia (an upper-middle-income country) and the United States, including a total of 44,260 individuals. We find considerably higher willingness to take a COVID-19 vaccine in our LMIC samples (mean 80.3%; median 78%; range 30.1 percentage points) compared with the United States (mean 64.6%) and Russia (mean 30.4%). Vaccine acceptance in LMICs is primarily explained by an interest in personal protection against COVID-19, while concern about side effects is the most common reason for hesitancy. Health workers are the most trusted sources of guidance about COVID-19 vaccines. Evidence from this sample of LMICs suggests that prioritizing vaccine distribution to the Global South should yield high returns in advancing global immunization coverage. Vaccination campaigns should focus on translating the high levels of stated acceptance into actual uptake. Messages highlighting vaccine efficacy and safety, delivered by healthcare workers, could be effective for addressing any remaining hesitancy in the analyzed LMICs.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Acceptance rates, overall and by respondent characteristics.
Average acceptance of the COVID-19 vaccine across studies and subgroups within studies. For each study, we summarize sampling information in parentheses in the following way: (1) we indicate whether the geographic coverage of the sample is national or subnational. If the coverage is subnational we provide further details; (2) we list the number of observations included in the study. In the plot, points represent the estimated percentage of individuals who would take the vaccine. ‘No’, ‘Don’t know’ and ‘Refuse’ are taken as a single reference category. Bars around each point indicate a 95% confidence interval for the estimate. The ‘All LMICs (national samples)’ row reports averages for just the LMIC samples with national-level geographic coverage. An estimate of average acceptance for all studies in LMICs (excluding the United States and Russia) is also shown in the ‘All LMICs’ row.
Fig. 2
Fig. 2. Reasons not to take the vaccine.
The percentage of respondents mentioning reasons why they would not take the COVID-19 vaccine. In the plot, points represent the estimated percentage of individuals that would not take the vaccine or do not know if they would take the vaccine for each possible response option. Bars around each point indicate the 95% CI for the estimate. An estimated average for all studies in LMICs is also shown. The size of the points illustrates the number of observations in each response option. The India and Pakistan survey 2 studies are not included because they either did not include the question or were not properly harmonized with the other studies.
Fig. 3
Fig. 3. Trusted sources respondents say they would trust most to help them decide whether to take the COVID-19 vaccine.
Histograms of sources respondents say they would trust most to help them decide whether to take the COVID-19 vaccine. Respondents were only permitted to select one most trusted actor or institution. The India, Mozambique, Pakistan survey 1, Pakistan survey 2 and Uganda survey 1 studies are not included because they either did not include the question or were not properly harmonized with the other studies.
Extended Data Fig. 1
Extended Data Fig. 1. Trusted sources and institutions, broken down by gender.
Figure ED1 shows histograms of sources and institutions that respondents say they would trust most to help them decide whether or not to take the COVID-19 vaccine. Respondents were only permitted to select one most trusted source or institution. Responses are broken down by gender of respondent.
Extended Data Fig. 2
Extended Data Fig. 2. Average vaccine acceptance across all LMIC countries leaving one or two study samples out.
Figure ED2 shows distribution of estimates of average acceptance for all studies in LMICs (excluding USA and Russia) leaving one and two study samples out at a time. Figure also shows distributions of subgroup averages by gender, education and age leaving one and two study samples out at a time. To directly compare the resulting distributions to the estimates reported in Fig. 1, we plot point estimates reported in Fig. 1 for all LMIC studies, Russia and the US.

Comment in

References

    1. Draft landscape and tracker of COVID-19 candidate vaccines (World Health Organization, 2021); https://www.who.int/publications/m/item/draft-landscape-of-covid-19-cand...
    1. COVID-19 Vaccine Tracker (McGill COVID19 Vaccine Tracker Team, 2021); https://covid19.trackvaccines.org/vaccines/
    1. Wouters OJ, et al. Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation and deployment. Lancet. 2021;397:1023–1034. doi: 10.1016/S0140-6736(21)00306-8. - DOI - PMC - PubMed
    1. de Figueiredo A, Simas C, Karafillakis E, Paterson P, Larson HJ. Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study. Lancet. 2020;396:898–908. doi: 10.1016/S0140-6736(20)31558-0. - DOI - PMC - PubMed
    1. Global attitudes: COVID-19 vaccines (Ipsos World Economic Forum, 2021); https://www.ipsos.com/en-ro/global-attitudes-covid-19-vaccine-january-2021

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