Evidence map›Paper›PMID 34563830›Full record

ArticleJournal of health economics2021

Anticipation of COVID-19 vaccines reduces willingness to socially distance.

Ola Andersson, Pol Campos-Mercade, Armando N Meier, Erik Wengström

Abstract read
In one paragraph

Article in Journal of health economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Ola AnderssonDepartment of Economics, Uppsala University, Sweden; Uppsala Center for Fiscal Studies, Uppsala University, Sweden; Research Institute of Industrial Economics, Sweden. Electronic address: ola.andersson@nek.uu.se.
Pol Campos-MercadeDepartment of Economics, University of Copenhagen, Denmark. Electronic address: pcm@econ.ku.dk.
Armando N MeierUnisanté, University of Lausanne, Switzerland; Faculty of Business and Economics, University of Basel, Switzerland. Electronic address: armando.meier@unil.ch.
Erik WengströmDepartment of Economics, Lund University, Sweden; Department of Finance and Economics, Hanken School of Economics, Finland. Electronic address: erik.wengstrom@nek.lu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate how the anticipation of COVID-19 vaccines affects voluntary social distancing. In a large-scale preregistered survey experiment with a representative sample, we study whether providing information about the safety, effectiveness, and availability of COVID-19 vaccines affects the willingness to comply with public health guidelines. We find that vaccine information reduces peoples' voluntary social distancing, adherence to hygiene guidelines, and their willingness to stay at home. Getting positive information on COVID-19 vaccines induces people to believe in a swifter return to normal life. The results indicate an important behavioral drawback of successful vaccine development: An increased focus on vaccines can lower compliance with public health guidelines and accelerate the spread of infectious disease. The results imply that, as vaccinations roll out and the end of a pandemic feels closer, policies aimed at increasing social distancing will be less effective, and stricter policies might be required.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansPandemicsSARS-CoV-2COVID-19 VaccinesVaccinesEconomic epidemiologyInformationPublic health communicationSocial distancingVaccinationVaccine information

Identifiers

PMID34563830
PMCPMC8442531

What OpenQuestion holds

Textmetadata
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.