Evidence map›Paper›PMID 34103391›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions.

Thomas P Smith, Seth Flaxman, Amanda S Gallinat, Sylvia P Kinosian, Michael Stemkovski, H Juliette T Unwin, Oliver J Watson, Charles Whittaker, Lorenzo Cattarino, Ilaria Dorigatti and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Climate change and antimicrobial resistance.Nature reviews. Microbiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Use of Population Weighted Density Index for Coronavirus Spread in the United States.Journal of health economics and outcomes research · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Thomas P SmithDepartment of Life Sciences, Imperial College London, Ascot SL5 7PY, United Kingdom; thomas.smith1@imperial.ac.uk will.pearse@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4038-9722
Seth FlaxmanDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom.ORCID http://orcid.org/0000-0002-2477-4217
Amanda S GallinatDepartment of Biology, Utah State University, Logan, UT 84322.
Sylvia P KinosianDepartment of Biology, Utah State University, Logan, UT 84322.ORCID http://orcid.org/0000-0002-0918-7196
Michael StemkovskiDepartment of Biology, Utah State University, Logan, UT 84322.ORCID http://orcid.org/0000-0002-9854-887X
H Juliette T UnwinMRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, United Kingdom.ORCID http://orcid.org/0000-0002-9120-4003
Oliver J WatsonMRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, United Kingdom.ORCID http://orcid.org/0000-0003-2374-0741
Charles WhittakerMRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, United Kingdom.ORCID http://orcid.org/0000-0002-5003-2575
Lorenzo CattarinoMRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, United Kingdom.
Ilaria DorigattiMRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, United Kingdom.ORCID http://orcid.org/0000-0001-9959-0706
Michael TristemDepartment of Life Sciences, Imperial College London, Ascot SL5 7PY, United Kingdom.ORCID http://orcid.org/0000-0002-3141-0008
William D PearseDepartment of Life Sciences, Imperial College London, Ascot SL5 7PY, United Kingdom; thomas.smith1@imperial.ac.uk will.pearse@imperial.ac.uk.
Imperial College London · GBUtah State University · US

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

As COVID-19 continues to spread across the world, it is increasingly important to understand the factors that influence its transmission. Seasonal variation driven by responses to changing environment has been shown to affect the transmission intensity of several coronaviruses. However, the impact of the environment on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains largely unknown, and thus seasonal variation remains a source of uncertainty in forecasts of SARS-CoV-2 transmission. Here we address this issue by assessing the association of temperature, humidity, ultraviolet radiation, and population density with estimates of transmission rate (

Indexed as

Cold TemperaturePopulation DensityBasic Reproduction NumberCommunicable Disease ControlCOVID-19ForecastingHumansMovementSARS-CoV-2SeasonsUnited StatesclimateepidemiologySARS-CoV-2seasonalitytransmission

Identifiers

PMID34103391
PMCPMC8237566
OpenAlexW3166391143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.