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.

Abstract

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.

Supporting text Virus Host Location
Chiroptera 371 COVID-19 425 Severe acute respiratory syndrome-related coronavirus 78 Animals 1948 Animals, Wild 187 Humans 1440 Phylogeny 805 Prevalence 62

Evidence records

2 total
Zoonotic Surveillance
2 records · 2 evidence types
Evidence type
1 records
OVE6884
Key finding

Surveillance records detected bat coronaviruses, showing that coronavirus prevalence in bats increases with human land modification intensity.

Virus
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 across all climates and levels of background biodiversity.

Method
surveillance detection | statistical analysis of prevalence data
Sample type
surveillance records
Evidence type
1 records
OVE6885
Key finding

Coronavirus prevalence in bats increases with human land disturbance, including agriculture, deforestation, and mining, indicating ecological modulation of reservoir infection levels.

Virus
Host
Location
Not specified
Supporting text

Human disturbance increases coronavirus prevalence in bats. The most significant contributors to the overall human impact are agriculture, deforestation, and mining.

Method
statistical correlation of land modification data with bat coronavirus surveillance records