Literature detail

Pathogen spillover driven by rapid changes in bat ecology.

Peggy Eby1,2,3 Alison J Peel2 Andrew Hoegh4 Wyatt Madden5,6 John R Giles7,8 Peter J Hudson9 Raina K Plowright10,11
Affiliations 11 institutions
  1. School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia.
  2. Centre for Planetary Health and Food Security, Griffith University, Nathan, Queensland, Australia.
  3. Center for Large Landscape Conservation, Bozeman, MT, USA.
  4. Department of Mathematical Sciences, Montana State University, Bozeman, MT, USA.
  5. Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA.
  6. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  7. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  8. Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  9. Center for Infectious Disease Dynamics, Pennsylvania State University, State College, PA, USA.
  10. Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA. [email protected].
  11. Department of Public and Ecosystem Health, Cornell University, Ithaca, NY, USA. [email protected].
PMID 36384167 2023 Nature eng ppublish
PubMed DOI Browse context

Article

Publication summary

During recent decades, pathogens that originated in bats have become an increasing public health concern. A major challenge is to identify how those pathogens spill over into human populations to generate a pandemic threat<sup>1</sup>. Many correlational studies associate spillover with changes in land use or other anthropogenic stressors<sup>2,3</sup>, although the mechanisms underlying the observed correlations have not been identified<sup>4</sup>. One limitation is the lack of spatially and temporally explicit data on multiple spillovers, and on the connections among spillovers, reservoir host ecology and behaviour and viral dynamics. We present 25 years of data on land-use change, bat behaviour and spillover of Hendra virus from Pteropodid bats to horses in subtropical Australia. These data show that bats are responding to environmental change by persistently adopting behaviours that were previously transient responses to nutritional stress. Interactions between land-use change and climate now lead to persistent bat residency in agricultural areas, where periodic food shortages drive clusters of spillovers. Pulses of winter flowering of trees in remnant forests appeared to prevent spillover. We developed integrative Bayesian network models based on these phenomena that accurately predicted the presence or absence of clusters of spillovers in each of the 25 years. Our long-term study identifies the mechanistic connections between habitat loss, climate and increased spillover risk. It provides a framework for examining causes of bat virus spillover and for developing ecological countermeasures to prevent pandemics.

Chiroptera Ecology Ecosystem Hendra Virus Horses Agriculture Animals Australia Bayes Theorem Climate Food Supply Forests Humans Natural Resources Pandemics Public Health

Structured evidence records

Evidence records

3 total
1 records
Extraction confidence 0.93
Key finding

Environmental change and habitat loss cause Pteropodid bats in subtropical Australia to remain in agricultural areas, increasing Hendra virus spillovers to horses; winter flowering in remnant forests reduces spillovers.

Virus
Location
Supporting text

We present 25 years of data on land-use change, bat behaviour and spillover of Hendra virus from Pteropodid bats to horses in subtropical Australia. These data show that bats are responding to environmental change by persistently adopting behaviours that were previously transient responses to nutritional stress. Interactions between land-use change and climate now lead to persistent bat residency in agricultural areas, where periodic food shortages drive clusters of spillovers. Pulses of winter flowering of trees in remnant forests appeared to prevent spillover.

Method
long-term ecological data collection; Bayesian network models
Geographic raw
subtropical Australia
Country inferred
Australia
1 records
Extraction confidence 0.97
Key finding

The study documents spillover of Hendra virus from Pteropodid bats to horses in subtropical Australia over a 25-year period.

Virus
Location
Supporting text

We present 25 years of data on land-use change, bat behaviour and spillover of Hendra virus from Pteropodid bats to horses in subtropical Australia.

Method
Bayesian network modeling; ecological observation
Study design
field surveillance
Transmission direction
animal-to-human
Geographic raw
subtropical Australia
Country inferred
Australia
1 records
Extraction confidence 0.85
Key finding

Long-term ecological surveillance tracked Hendra virus spillover from Pteropodid bats to horses in subtropical Australia, identifying links between bat residency patterns and spillover clusters.

Virus
Location
Supporting text

We present 25 years of data on land-use change, bat behaviour and spillover of Hendra virus from Pteropodid bats to horses in subtropical Australia.

Method
ecological monitoring; Bayesian network models
Geographic raw
subtropical Australia
Country inferred
Australia