Evidence map›Paper›PMID 32435987›Full record

ArticleApplied health economics and health policy2020

Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19.

Moslem Soofi, Farid Najafi, Behzad Karami-Matin

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
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  8. The impact of threshold decision mechanisms of collective behavior on disease spread.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Examination of the COVID-19 Pandemic's Impact on Mental Health From Three Perspectives: Global, Social, and Individual.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023
    Article
  10. Article
  11. Behavioral biases and heuristics in perceptions of COVID-19 risks and prevention decisions.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Behavioral Economics in the Epidemiology of the COVID-19 Pandemic: Theory and Simulations.International journal of environmental research and public health · 2022
    Article
  16. Microeconomics of intertemporal choice in zero-space during Covid-19: a behavioral economics perspective.The European journal of health economics : HEPAC : health economics in prevention and care · 2022
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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

3 authors.

Moslem SoofiSocial Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Farid NajafiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Behzad Karami-MatinResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. bkm_1344@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of 2019 coronavirus disease (COVID-19) has become a public health emergency of international concern. The number of COVID-infected individuals and related deaths continues to rise rapidly. Encouraging people to adopt and sustain preventive behaviors is a central focus of public health policies that seek to mitigate the spread of COVID-19. Public health policy needs improved methods to encourage people to adhere to COVID-19-preventive behaviors. In this paper, we introduce a number of insights from behavioral economics that help explain why people may behave irrationally during the COVID-19 pandemic. In particular, present bias, status quo bias, framing effect, optimism bias, affect heuristic, and herding behavior are discussed. We hope this paper will shed light on how insights from behavioral economics can enrich public health policies and interventions in the fight against COVID-19.

Indexed as

BetacoronavirusDecision MakingCoronavirus InfectionsCOVID-19Economics, BehavioralHumansPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32435987
PMCPMC7239690

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.