Evidence map›Paper›PMID 37231088›Full record

SynthesisNature microbiology2023

Coronavirus sampling and surveillance in bats from 1996-2019: a systematic review and meta-analysis.

Lily E Cohen, Anna C Fagre, Binqi Chen, Colin J Carlson, Daniel J Becker

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. DivergentViruses · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 229E- and NL63-like coronaviruses in phyllostomid bats, Belize.One health (Amsterdam, Netherlands) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bat Viral Shedding: A Review of Seasonal Patterns and Risk Factors.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2025
    Review
  20. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    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

5 authors.

Lily E CohenIcahn School of Medicine at Mount Sinai, New York, NY, USA. lily.cohen@icahn.mssm.edu.ORCID 0000-0002-2207-8330
Anna C FagreDepartment of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Binqi ChenCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA.ORCID 0000-0002-8740-8046
Colin J CarlsonCenter for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA.
Daniel J BeckerDepartment of Biology, University of Oklahoma, Norman, OK, USA.ORCID 0000-0003-4315-8628

Funding

Vascular-macrophage crosstalk in GBM immunosuppressionP20GM134973 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Sree Deepthi Muthukrishnan · 2020 to 2026
$17.6M
NIGMS NIH HHS P20 GM134973
6 · The paper itself

Abstract

The emergence of SARS-CoV-2 highlights a need for evidence-based strategies to monitor bat viruses. We performed a systematic review of coronavirus sampling (testing for RNA positivity) in bats globally. We identified 110 studies published between 2005 and 2020 that collectively reported positivity from 89,752 bat samples. We compiled 2,274 records of infection prevalence at the finest methodological, spatiotemporal and phylogenetic level of detail possible from public records into an open, static database named datacov, together with metadata on sampling and diagnostic methods. We found substantial heterogeneity in viral prevalence across studies, reflecting spatiotemporal variation in viral dynamics and methodological differences. Meta-analysis identified sample type and sampling design as the best predictors of prevalence, with virus detection maximized in rectal and faecal samples and by repeat sampling of the same site. Fewer than one in five studies collected and reported longitudinal data, and euthanasia did not improve virus detection. We show that bat sampling before the SARS-CoV-2 pandemic was concentrated in China, with research gaps in South Asia, the Americas and sub-Saharan Africa, and in subfamilies of phyllostomid bats. We propose that surveillance strategies should address these gaps to improve global health security and enable the origins of zoonotic coronaviruses to be identified.

Indexed as

ChiropteraCOVID-19AnimalsChinaHumansPhylogenySARS-CoV-2

Identifiers

PMID37231088
PMCPMC10234814

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.