Evidence map›Paper›PMID 40406974›Full record

ArticleJournal of global health2025

Evaluating self-reported vaccination hesitancy in mobile phone surveys in low- and middle-income countries: learned lessons from Ethiopia, Indonesia, Kenya, and Malawi.

Ryan T Rego, Kyrani Reneau, Yuri Zhukov, Kristina Rice, Patrick Brady, Geoffrey Siwo, Ken Kollman, Sabina Odero, Mercy Mokaya, Amina Abubakar and 2 more

Abstract read
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ryan T Rego *Center for Global Health Equity, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Kyrani Reneau *Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, Michigan USA.
Yuri ZhukovSchool of Foreign Service and Department of Government, Georgetown University, Washington, D.C., USA.
Kristina RiceCenter for Global Health Equity, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Patrick BradyDepartment of Learning Health Sciences, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Geoffrey SiwoCenter for Global Health Equity, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Ken KollmanSchool of Foreign Service and Department of Government, Georgetown University, Washington, D.C., USA.
Sabina OderoInstitute of Human Development, Aga Khan University, Nairobi, Kenya.
Mercy MokayaInstitute of Human Development, Aga Khan University, Nairobi, Kenya.
Amina AbubakarInstitute of Human Development, Aga Khan University, Nairobi, Kenya.
Amy PientaInter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, Michigan USA.
Akbar K WaljeeCenter for Global Health Equity, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA.

Funding

CTSA K12 Program at the University of MichiganK12TR004374 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI L ELLINGROD, Leah Elizabeth Robinson · 2023 to 2026
$6.5M
NCATS NIH HHS K12 TR004374
6 · The paper itself

Abstract

Background: The large amount of data on COVID-19 vaccination hesitancy presents a unique opportunity to better understand COVID-19 vaccination uptake. However, the utility of this data is unclear, particularly how representative the surveys are of general populations, how easy the data is to use, and how valid the outcome (intent to be vaccinated) is. We explored this in the World Bank's high frequency phone surveys (HFPS). Methods: The HFPS were conducted longitudinally in over 50 countries between 2020-21. A subset of the HFPS contained questions on vaccination hesitancy. We compared the demographic results from four surveys against the most recent census to determine the representativeness of the sample and vaccination intent/actual vaccination against government-reported vaccination rates. Results: While the surveys were generally representative of population sizes and the rural/urban split, they tended to over-sample men and older people and omitted several key indicators. We also found that self-reported vaccination rates were higher than actual vaccination rates. Conclusions: It is important to consider challenges in the HFPS data and other datasets which measure vaccination acceptance by phone surveys. It is also important to consider the ease of data use. However, even when these challenges arise, there are still opportunities for meaningful use of the data.

Indexed as

Cell PhoneCOVID-19COVID-19 VaccinesDeveloping CountriesSelf ReportVaccinationVaccination HesitancyAdolescentAdultEthiopiaFemaleHumansIndonesiaKenyaLongitudinal StudiesMalawiCOVID-19 Vaccines

Identifiers

PMID40406974
PMCPMC12100674

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.