Evidence map›Paper›PMID 32577697›Full record

ArticlemedRxiv : the preprint server for health sciences2020

COVID-19 and climate: global evidence from 117 countries.

Simiao Chen, Klaus Prettner, Michael Kuhn, Pascal Geldsetzer, Chen Wang, Till Bärnighausen, David E Bloom

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Simiao ChenHeidelberg Institute of Global Health, Heidelberg University Medical School, Heidelberg University, Heidelberg, Germany.
Klaus PrettnerUniversity of Hohenheim, Institute of Economics, Stuttgart, Germany.
Michael KuhnWittgenstein Centre (IIASA, VID/ÖAW, WU), Vienna Institute of Demography, Vienna, Austria.
Pascal GeldsetzerHeidelberg Institute of Global Health, Heidelberg University Medical School, Heidelberg University, Heidelberg, Germany.
Chen WangChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Till BärnighausenHeidelberg Institute of Global Health, Heidelberg University Medical School, Heidelberg University, Heidelberg, Germany.
David E BloomDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Institutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7M
The Center for the Global Demography of AgingP30AG024409 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BLOOM, DAVID E · 2004 to 2019
$7.9M
NCATS NIH HHS KL2 TR003143NIA NIH HHS P30 AG024409
6 · The paper itself

Abstract

Visual inspection of world maps shows that coronavirus disease 2019 (COVID-19) is less prevalent in countries closer to the equator, where heat and humidity tend to be higher. Scientists disagree how to interpret this observation because the relationship between COVID-19 and climatic conditions may be confounded by many factors. We regress confirmed COVID-19 cases per million inhabitants in a country against the country's distance from the equator, controlling key confounding factors: air travel, distance to Wuhan, testing intensity, cell phone usage, vehicle concentration, urbanization, and income. A one-degree increase in absolute latitude is associated with a 2.6% increase in cases per million inhabitants (p value <0.001). The Northern hemisphere may see a decline in new COVID-19 cases during summer and a resurgence during winter.

Identifiers

PMID32577697
PMCPMC7302306

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.