Literature detail

Human disturbance increases coronavirus prevalence in bats.

Vera M Warmuth1 Dirk Metzler1 Veronica Zamora-Gutierrez2
Affiliations 2 institutions
  1. Division of Evolutionary Biology, Faculty of Biology, Ludwig-Maximilians-Universität München, Großhaderner Straße 2, 82152 Martinsried, Germany.
  2. CONACYT - Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional Unidad Durango (CIIDIR), Instituto Politécnico Nacional, Durango, México.
PMID 37000877 2023 Sci Adv eng ppublish
PubMed DOI Browse context

Article

Publication summary

Human land modification is a known driver of animal-to-human transmission of infectious agents (zoonotic spillover). Infection prevalence in the reservoir is a key predictor of spillover, but landscape-level associations between the intensity of land modification and infection rates in wildlife remain largely untested. Bat-borne coronaviruses have caused three major disease outbreaks in humans: severe acute respiratory syndrome (SARS), Middle East respiratory syndrome, and coronavirus disease 2019 (COVID-19). We statistically link high-resolution land modification data with bat coronavirus surveillance records and show that coronavirus prevalence significantly increases with the intensity of human impact across all climates and levels of background biodiversity. The most significant contributors to the overall human impact are agriculture, deforestation, and mining. Regions of high predicted bat coronavirus prevalence coincide with global disease hotspots, suggesting that infection prevalence in wildlife may be an important factor underlying links between human land modification and zoonotic disease emergence.

Chiroptera COVID-19 Severe acute respiratory syndrome-related coronavirus Animals Animals, Wild Humans Phylogeny Prevalence

Structured evidence records

Evidence records

2 total
1 records
Extraction confidence 0.95
Key finding

Coronavirus prevalence in bats increases with human land modification intensity, especially in areas affected by agriculture, deforestation, and mining.

Host
Location
Supporting text

We statistically link high-resolution land modification data with bat coronavirus surveillance records and show that coronavirus prevalence significantly increases with the intensity of human impact across all climates and levels of background biodiversity. The most significant contributors to the overall human impact are agriculture, deforestation, and mining.

Method
statistical analysis; bat coronavirus surveillance
Geographic raw
global
1 records
Extraction confidence 0.95
Key finding

Bat coronavirus prevalence increased across landscapes with greater human disturbance according to surveillance data.

Host
Location
Not specified
Supporting text

We statistically link high-resolution land modification data with bat coronavirus surveillance records and show that coronavirus prevalence significantly increases with the intensity of human impact.

Method
surveillance