Evidence map›Paper›PMID 36437857›Full record

ArticleIJID regions2023

Effects of hydrometeorological and other factors on SARS-CoV-2 reproduction number in three contiguous countries of tropical Andean South America: a spatiotemporally disaggregated time series analysis.

Josh M Colston, Patrick Hinson, Nhat-Lan H Nguyen, Yen Ting Chen, Hamada S Badr, Gaige H Kerr, Lauren M Gardner, David N Martin, Antonio M Quispe, Francesca Schiaffino and 2 more

Abstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. The Enterics for Global Health (EFGH)Open forum infectious diseases · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. 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

12 authors.

Josh M ColstonDivision of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, VA, 22903, USA.
Patrick HinsonCollege of Arts and Sciences, University of Virginia, VA, USA.
Nhat-Lan H NguyenCollege of Arts and Sciences, University of Virginia, VA, USA.
Yen Ting ChenDepartment of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan.
Hamada S BadrDepartment of Earth and Planetary Sciences, Johns Hopkins Krieger School of Arts and Sciences, Baltimore, MD, 21218, USA.
Gaige H KerrDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
Lauren M GardnerDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
David N MartinClaude Moore Health Sciences Library, University of Virginia School of Medicine, VA, USA.
Antonio M QuispePostgraduate School, Universidad Continental, Lima, Peru.
Francesca SchiaffinoFaculty of Veterinary Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Margaret N KosekDivision of Infectious Diseases and International Health and Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22903, USA.
Benjamin F ZaitchikDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.

Funding

ACL HHS U01GH002270CGH CDC HHS U01 GH002270
6 · The paper itself

Abstract

Background: The COVID-19 pandemic has caused societal disruption globally, and South America has been hit harder than other lower-income regions. This study modeled the effects of six weather variables on district-level SARS-CoV-2 reproduction numbers ( Methods: Daily time-series data on SARS-CoV-2 infections were sourced from the health authorities of the three countries at the smallest available administrative level. Findings: Relative humidity and solar radiation were inversely associated with SARS-CoV-2 Interpretation: Dry atmospheric conditions of low humidity increase district-level SARS-CoV-2 reproduction numbers, while higher levels of solar radiation decrease district-level SARS-CoV-2 reproduction numbers - effects that are comparable in magnitude to population factors like lockdown compliance. Weather monitoring could be incorporated into disease surveillance and early warning systems in conjunction with more established risk indicators and surveillance measures. Funding: NASA's Group on Earth Observations Work Programme (16-GEO16-0047).

Indexed as

climateColombiacoronavirusCOVID-19EcuadorhydrometeorologyLatin Americapandemic diseasePeruSARS-CoV-2

Identifiers

PMID36437857
PMCPMC9675637

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.