Evidence map›Paper›PMID 36960326›Full record

ArticleGeoHealth2023

Evolving Drivers of Brazilian SARS-CoV-2 Transmission: A Spatiotemporally Disaggregated Time Series Analysis of Meteorology, Policy, and Human Mobility.

Gaige Hunter Kerr, Hamada S Badr, Alisson F Barbieri, Josh M Colston, Lauren M Gardner, Margaret N Kosek, Benjamin F Zaitchik

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

7 authors.

Gaige Hunter KerrDepartment of Environmental and Occupational Health George Washington University Washington DC USA.ORCID https://orcid.org/0000-0001-8869-0752
Hamada S BadrDepartment of Civil and Systems Engineering Johns Hopkins University Baltimore MD USA.ORCID https://orcid.org/0000-0002-9808-2344
Alisson F BarbieriDemography Department Universidade Federal de Minas Gerais Belo Horizonte Brazil.ORCID https://orcid.org/0000-0002-1133-1089
Josh M ColstonDivision of Infectious Diseases and International Health University of Virginia School of Medicine Charlottesville VA USA.ORCID https://orcid.org/0000-0003-4567-5813
Lauren M GardnerDepartment of Civil and Systems Engineering Johns Hopkins University Baltimore MD USA.ORCID https://orcid.org/0000-0003-1083-3850
Margaret N KosekDivision of Infectious Diseases and International Health University of Virginia School of Medicine Charlottesville VA USA.ORCID https://orcid.org/0000-0001-6340-4852
Benjamin F ZaitchikDepartment of Earth and Planetary Sciences Johns Hopkins University Baltimore MD USA.ORCID https://orcid.org/0000-0002-0698-0658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil has been severely affected by the COVID-19 pandemic. Temperature and humidity have been purported as drivers of SARS-CoV-2 transmission, but no consensus has been reached in the literature regarding the relative roles of meteorology, governmental policy, and mobility on transmission in Brazil. We compiled data on meteorology, governmental policy, and mobility in Brazil's 26 states and one federal district from June 2020 to August 2021. Associations between these variables and the time-varying reproductive number (

Indexed as

BrazilCOVID‐19generalized additive modelmeteorologynon‐pharmacological interventionspandemic

Identifiers

PMID36960326
PMCPMC10030230

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.