Evidence map›Paper›PMID 33318799›Full record

ReviewEvolution, medicine, and public health2020

How evolutionary behavioural sciences can help us understand behaviour in a pandemic.

Megan Arnot, Eva Brandl, O L K Campbell, Yuan Chen, Juan Du, Mark Dyble, Emily H Emmott, Erhao Ge, Luke D W Kretschmer, Ruth Mace and 5 more

Abstract readReview
In one paragraph

Review in Evolution, medicine, and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Gendered conflict in the human family.Evolutionary human sciences · 2023
    Review
  8. Article
  9. Article
  10. COVID-19 andEvolution, medicine, and public health · 2023
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. The Effect of the COVID-19 on Corrosive Ingestion in Thailand.Open access emergency medicine : OAEM · 2021
    Article
  19. Article
  20. Adaptive function and correlates of anxiety during a pandemic.Evolution, medicine, and public health · 2021
    Article
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

15 authors.

Megan ArnotDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.ORCID 0000-0002-6293-5202
Eva BrandlDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
O L K CampbellDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Yuan ChenState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, 222 Tianshui South Rd, Lanzhou, Gansu Province 730000, People's Republic of China.ORCID 0000-0002-7069-1631
Juan DuState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, 222 Tianshui South Rd, Lanzhou, Gansu Province 730000, People's Republic of China.
Mark DybleDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Emily H EmmottDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Erhao GeState Key Laboratory of Grassland and Agro-ecosystems, School of Life Sciences, Lanzhou University, 222 Tianshui South Rd, Lanzhou, Gansu Province 730000, People's Republic of China.
Luke D W KretschmerDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK.
Ruth MaceDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Alberto J C MichelettiInstitute for Advanced Study in Toulouse, Université Toulouse 1 Capitole, 1 esplanade de l'Université, 31080 Toulouse Cedex 06, France.
Sarah NilaDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Sarah PeaceyDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.
Gul Deniz SalaliDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.ORCID 0000-0001-9538-3064
Hanzhi ZhangDepartment of Anthropology, University College London, 14 Taviton Street, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has brought science into the public eye and to the attention of governments more than ever before. Much of this attention is on work in epidemiology, virology and public health, with most behavioural advice in public health focusing squarely on 'proximate' determinants of behaviour. While epidemiological models are powerful tools to predict the spread of disease when human behaviour is stable, most do not incorporate behavioural change. The evolutionary basis of our preferences and the cultural evolutionary dynamics of our beliefs drive behavioural change, so understanding these evolutionary processes can help inform individual and government decision-making in the face of a pandemic.

Indexed as

behavioural ecologybehaviour changeCOVID-19cultural evolutionlockdownsocial distancing

Identifiers

PMID33318799
PMCPMC7665496

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.