Upscaling effects on infectious disease emergence risk emphasize the need for local planning in primary prevention within biodiversity hotspots
Renata L. Muylaert, David A. Wilkinson, Evita Izza Dwiyanti, David T. S. Hayman

TL;DR
This study shows that local planning is crucial for preventing disease outbreaks in biodiversity hotspots, as upscaled data can miss key details.
Contribution
The study introduces a multi-scale spatial analysis to assess zoonotic disease emergence risks in biodiversity hotspots.
Findings
High-resolution spatial data (around 500 m) is essential for accurate zoonotic risk assessments.
Jakarta and West Java are identified as high-risk areas for epidemic spread.
Population centers influence forest management and agroforestry practices affecting disease risk.
Abstract
Zoonotic risk assessments are increasingly vital in the wake of recent epidemics. The microbial diversity of parasitic organisms correlates with host species richness, with regions of high biodiversity facing elevated risks of emerging zoonotic infections. While habitat loss and fragmentation reduce species diversity, anthropogenic encroachment, particularly in forested areas, amplifies human exposure to novel pathogens. This study integrates host habitat, biodiversity, human encroachment, and population at risk to estimate novel disease emergence and epidemic risk at multiple spatial scales. Using Java, Indonesia, as a case study, we demonstrate that degrading spatial resolution leads to information loss, with optimal resolutions typically below 2000 m, ideally around 500 m when native-resolution processing is unfeasible. Gravity models of epidemic spread highlight Jakarta and West…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsZoonotic diseases and public health · Animal Disease Management and Epidemiology · COVID-19 epidemiological studies
