Evidence map›Paper›PMID 34834994›Full record

ReviewViruses2021

Interspecies Jumping of Bat Coronaviruses.

Antonio C P Wong, Susanna K P Lau, Patrick C Y Woo

Abstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. A NovelViruses · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Cross-species transmission, evolution and zoonotic potential of coronaviruses.Frontiers in cellular and infection microbiology · 2022
    Review
  14. Review
  15. Full GenomeFrontiers in public health · 2022
    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

3 authors.

Antonio C P WongDepartment of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.ORCID 0000-0002-5565-1121
Susanna K P LauDepartment of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.ORCID 0000-0002-1383-7374
Patrick C Y WooDepartment of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China.ORCID 0000-0001-9401-1832

Funding

Consultancy Service for Enhancing Laboratory Surveillance of Emerging Infectious Diseases and Research Capability on Antimicrobial Resistance for Department of Health, HKSAR GovernmentHealth and Medical Research Fund of the Food and Health Bureau of HKSAR CID-HKU1-6Health and Medical Research Fund of the Food and Health Bureau of HKSAR COVID190122Theme-based Research Scheme, University Grant Committee T11/707/15
6 · The paper itself

Abstract

In the last two decades, several coronavirus (CoV) interspecies jumping events have occurred between bats and other animals/humans, leading to major epidemics/pandemics and high fatalities. The SARS epidemic in 2002/2003 had a ~10% fatality. The discovery of SARS-related CoVs in horseshoe bats and civets and genomic studies have confirmed bat-to-civet-to-human transmission. The MERS epidemic that emerged in 2012 had a ~35% mortality, with dromedaries as the reservoir. Although CoVs with the same genome organization (e.g.,

Indexed as

Host AdaptationAlphacoronavirusAnimalsChiropteraCoronavirusCoronavirus InfectionsCOVID-19Host SpecificityHumansMiddle East Respiratory Syndrome CoronavirusSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusbatcoronavirusCOVID-19epidemicinterspecies jumpingMERSoutbreakpandemicSADSSARS

Identifiers

PMID34834994
PMCPMC8620431

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.