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Landscape drives zoonotic malaria prevalence in non-human primates

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
  • Emilia Johnson
  • Reuben Sunil Kumar Sharma
  • Pablo Ruiz Cuenca
  • Isabel Byrne
  • Milena Salgado-Lynn
  • Zarith Suraya Shahar
  • Lee Col Lin
  • Norhadila Zulkifli
  • Nor Dilaila Mohd Saidi
  • Chris Drakeley
  • Jason Matthiopoulos
  • Luca Nelli
  • Kimberly Fornace
  • Jennifer Flegg (Editor)
  • Dominique Soldati-Favre
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<mark>Journal publication date</mark>16/05/2024
<mark>Journal</mark>eLife
Volume12
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host Plasmodium knowlesi, a zoonotic malaria of public health concern and the main barrier to malaria elimination in Southeast Asia. Understanding of regional P. knowlesi infection dynamics in wildlife is limited. Here, we systematically assemble reports of NHP P. knowlesi and investigate geographic determinants of prevalence in reservoir species. Meta-analysis of 6322 NHPs from 148 sites reveals that prevalence is heterogeneous across Southeast Asia, with low overall prevalence and high estimates for Malaysian Borneo. We find that regions exhibiting higher prevalence in NHPs overlap with human infection hotspots. In wildlife and humans, parasite transmission is linked to land conversion and fragmentation. By assembling remote sensing data and fitting statistical models to prevalence at multiple spatial scales, we identify novel relationships between P. knowlesi in NHPs and forest fragmentation. This suggests that higher prevalence may be contingent on habitat complexity, which would begin to explain observed geographic variation in parasite burden. These findings address critical gaps in understanding regional P. knowlesi epidemiology and indicate that prevalence in simian reservoirs may be a key spatial driver of human spillover risk.