Evidence map›Paper›PMID 33558040›Full record

ArticleThe Science of the total environment2021

Shifts in global bat diversity suggest a possible role of climate change in the emergence of SARS-CoV-1 and SARS-CoV-2.

Robert M Beyer, Andrea Manica, Camilo Mora

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  8. Review
  9. Article
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  15. Climate Changes and COVID-19.Advances in experimental medicine and biology · 2024
    Article
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  17. Article
  18. Article
  19. Article
  20. Article

2 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

3 authors.

Robert M BeyerDepartment of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, United Kingdom; Potsdam Institute for Climate Impact Research, Telegrafenberg A 31, 14473 Potsdam, Germany. Electronic address: robert.beyer@pik-potsdam.de.
Andrea ManicaDepartment of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, United Kingdom.
Camilo MoraDepartment of Geography and Environment, University of Hawai'i at Manoa, 2424 Maile Way, Honolulu, HI 96822, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bats are the likely zoonotic origin of several coronaviruses (CoVs) that infect humans, including SARS-CoV-1 and SARS-CoV-2, both of which have caused large-scale epidemics. The number of CoVs present in an area is strongly correlated with local bat species richness, which in turn is affected by climatic conditions that drive the geographical distributions of species. Here we show that the southern Chinese Yunnan province and neighbouring regions in Myanmar and Laos form a global hotspot of climate change-driven increase in bat richness. This region coincides with the likely spatial origin of bat-borne ancestors of SARS-CoV-1 and SARS-CoV-2. Accounting for an estimated increase in the order of 100 bat-borne CoVs across the region, climate change may have played a key role in the evolution or transmission of the two SARS CoVs.

Indexed as

ChiropteraCOVID-19AnimalsChinaClimate ChangeEvolution, MolecularGenome, ViralHumansLaosMyanmarPhylogenySARS-CoV-2CoronavirusCovid-19Habitat shiftsSpecies distribution modellingVegetation modellingZoonoses

Identifiers

PMID33558040
PMCPMC7837611

What OpenQuestion holds

Textmetadata
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.