Evidence map›Paper›PMID 35287066›Full record

ArticleSocial science & medicine (1982)2022

The path towards herd immunity: Predicting COVID-19 vaccination uptake through results from a stated choice study across six continents.

Stephane Hess, Emily Lancsar, Petr Mariel, Jürgen Meyerhoff, Fangqing Song, Eline van den Broek-Altenburg, Olufunke A Alaba, Gloria Amaris, Julián Arellana, Leonardo J Basso and 31 more

Open access · hybridAbstract read
In one paragraph

Article in Social science & medicine (1982), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  4. Time preferences and COVID-19 vaccination uptake.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

41 authors at 20 institutions in 19 countries.

Stephane HessUniversity of Leeds, United Kingdom. Electronic address: s.hess@leeds.ac.uk.
Emily LancsarAustralian National University, Australia. Electronic address: Emily.Lancsar@anu.edu.au.
Petr MarielUniversity of the Basque Country, Spain. Electronic address: petr.mariel@ehu.eus.
Jürgen MeyerhoffTechnische Universität Berlin, Germany. Electronic address: juergen.meyerhoff@tu-berlin.de.
Fangqing SongUniversity of Leeds, United Kingdom; University College London, United Kingdom. Electronic address: f.song1@leeds.ac.uk.
Eline van den Broek-AltenburgUniversity of Vermont, United States. Electronic address: eline.altenburg@med.uvm.edu.
Olufunke A AlabaUniversity of Cape Town, South Africa.
Gloria AmarisUniversity of Leeds, United Kingdom; Norwegian University of Science and Technology, Trondheim, Norway.
Julián ArellanaUniversidad del Norte, Colombia.
Leonardo J BassoUniversidad de Chile, Chile.
Jamie BensonUniversity of Vermont, United States.
Luis Bravo-MoncayoUniversidad de Las Américas, Ecuador; Universidad Técnica del Norte, Ecuador.
Olivier ChanelAix Marseille Univ, CNRS, AMSE, Marseille, France.
Syngjoo ChoiSeoul National University, South Korea.
Romain Crastes Dit SourdUniversity of Leeds, United Kingdom.
Helena Bettella CybisUniversidade Federal do Rio Grande do Sul, Brazil.
Zack DornerUniversity of Waikato, New Zealand.
Paolo FalcoUniversity of Copenhagen, Denmark.
Luis Garzón-PérezUniversidad Técnica del Norte, Ecuador.
Kathryn GlassAustralian National University, Australia.
Luis A GuzmanUniversidad de Los Andes, Colombia.
Zhiran HuangThe University of Hong Kong, Hong Kong.
Elisabeth HuynhAustralian National University, Australia.
Bongseop KimSeoul National University, South Korea.
Abisai KonstantinusNdatara surveys, Namibia.
Iyaloo KonstantinusNamibia Institute of Pathology, Namibia.
Ana Margarita LarranagaUniversidade Federal do Rio Grande do Sul, Brazil.
Alberto LongoQueen's University Belfast, United Kingdom.
Becky P Y LooThe University of Hong Kong, Hong Kong.
Malte OehlmannChair of Marketing and Consumer Research, TUM School of Management, Technical University of Munich, Germany.
Vikki O'NeillQueen's University Belfast, United Kingdom.
Juan de Dios OrtúzarPontificia Universidad Catolica de Chile, Chile.
María José SanzBC3 Basque Centre for Climate Change, Spain; Ikerbasque Foundation, Spain.
Olga L SarmientoUniversidad de Los Andes, Colombia.
Hazvinei Tamuka MoyoUniversity of Cape Town, South Africa.
Steven TuckerUniversity of Waikato, New Zealand.
Yacan WangBeijing Jiaotong University, China.
Yu WangBeijing Jiaotong University, China.
Edward J D WebbUniversity of Leeds, United Kingdom.
Junyi ZhangHiroshima University, Japan.
Mark H P ZuidgeestUniversity of Cape Town, South Africa.
University of Leeds · GBAustralian National University · AUUniversity of Cape Town · ZABeijing Jiaotong University · CNQueen's University Belfast · GBSeoul National University · KRUniversidad de Los Andes · COUniversidade Federal do Rio Grande do Sul · BRUniversity of Hong Kong · HKUniversity of Vermont · USUniversity of Waikato · NZCentre National de la Recherche Scientifique · FRGeological Survey of Namibia · NAHiroshima University · JPIkerbasque · ESNamibia Institute of Pathology · NAPontificia Universidad Católica de Chile · CLTechnical University of Munich · DETechnische Universität Berlin · DEUniversidad de Las Américas · EC

Funding

European Research Council
6 · The paper itself

Abstract

Despite unprecedented progress in developing COVID-19 vaccines, global vaccination levels needed to reach herd immunity remain a distant target, while new variants keep emerging. Obtaining near universal vaccine uptake relies on understanding and addressing vaccine resistance. Simple questions about vaccine acceptance however ignore that the vaccines being offered vary across countries and even population subgroups, and differ in terms of efficacy and side effects. By using advanced discrete choice models estimated on stated choice data collected in 18 countries/territories across six continents, we show a substantial influence of vaccine characteristics. Uptake increases if more efficacious vaccines (95% vs 60%) are offered (mean across study areas = 3.9%, range of 0.6%-8.1%) or if vaccines offer at least 12 months of protection (mean across study areas = 2.4%, range of 0.2%-5.8%), while an increase in severe side effects (from 0.001% to 0.01%) leads to reduced uptake (mean = -1.3%, range of -0.2% to -3.9%). Additionally, a large share of individuals (mean = 55.2%, range of 28%-75.8%) would delay vaccination by 3 months to obtain a more efficacious (95% vs 60%) vaccine, where this increases further if the low efficacy vaccine has a higher risk (0.01% instead of 0.001%) of severe side effects (mean = 65.9%, range of 41.4%-86.5%). Our work highlights that careful consideration of which vaccines to offer can be beneficial. In support of this, we provide an interactive tool to predict uptake in a country as a function of the vaccines being deployed, and also depending on the levels of infectiousness and severity of circulating variants of COVID-19.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansImmunity, HerdVaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID35287066
PMCPMC8848547
OpenAlexW4213075636

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.