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Ecological Intelligence / Subject

zoonoses

Peer-reviewed Global

Emerging-disease geography has an anthropogenic fingerprint—but not one ecological driver

Evidence
Peer-reviewed
Geography
Global; 169 countries
System
Human–animal disease landscapes / One Health

WHAT THE EVIDENCE SAYS

Researchers harmonized 58,319 outbreak events for 32 diseases and tested 16 social and environmental drivers while modeling reporting bias. Outbreak risk was often higher in forested, fragmented mosaic landscapes with people and livestock, and several vector-borne diseases shared strong responses to fragmentation and long-term drying. Directly transmitted zoonoses shared few consistent drivers. Reporting declined by a median 32% for each additional hour of travel time to a health facility.

WHY IT MATTERS / OUR READ

The study weakens the search for one global ecological lever against emerging disease. Landscape intervention can matter, but prevention and surveillance need to be pathogen- and place-specific—and healthcare access is itself part of the observed disease map.

CAVEATS / UNCERTAINTY

The analysis is observational and assembled from heterogeneous surveillance systems, with sparse data for several high-concern pathogens. Associations are not causal estimates for individual diseases, and under-detection remains a central limitation.

SOURCE

Nature
View original evidence ↗

A global analysis of 58,319 outbreak records finds shared landscape signals for several vector-borne diseases, while directly transmitted zoonoses show far less consistent environmental patterning.

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Peer-reviewed Global

Wildlife imports track some dimensions of zoonotic outbreak risk—but not all of them

Evidence
Peer-reviewed
Geography
Global country-level analysis, 1975–2013
System
Wildlife trade and zoonotic emerging infectious disease

WHAT THE EVIDENCE SAYS

A One Health study combined international wildlife-trade data with country-level zoonotic emerging-infectious-disease records from 1975–2013 using spatiotemporal Bayesian and extreme-value models. Greater wildlife import volume was associated with a higher probability that a zoonotic emerging-disease event occurred and with the risk of extreme outbreaks, but it was not associated with the frequency of events once occurrence was established. Export volume showed weaker or nonsignificant relationships across the same outcomes.

WHY IT MATTERS / OUR READ

The result is useful because it separates different parts of disease risk instead of collapsing them into one 'trade causes outbreaks' claim. Surveillance, border biosecurity and risk assessment may need to distinguish introduction opportunity, outbreak probability and outbreak magnitude—and account for reporting capacity at the same time.

CAVEATS / UNCERTAINTY

This is historical observational analysis at the country scale. Trade volume is an aggregate proxy rather than a mechanistic exposure pathway, surveillance and reporting differ among countries, and the associations do not establish that a particular shipment or taxon caused a disease event.

SOURCE

One Health
View original evidence ↗

A multi-country analysis finds greater wildlife import volume associated with the probability of zoonotic emerging-disease occurrence and extreme outbreaks, while effects on outbreak frequency were not detected.

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