Landscape drives zoonotic malaria prevalence in non-human primates
Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host <jats:italic>Plasmodium knowlesi,</jats:italic> a zoonotic malaria of public health concern and the main barri...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
eLife Sciences Publications
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108884/ |
| _version_ | 1848865226705862656 |
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| author | Johnson, Emilia Sunil Kumar Sharma, Reuben Ruiz Cuenca, Pablo Byrne, Isabel Lee, Col Lin Shahar, Zarith Suraya Zulkifli, Norhadila Mohd Saidi, Nor Dilaila |
| author_facet | Johnson, Emilia Sunil Kumar Sharma, Reuben Ruiz Cuenca, Pablo Byrne, Isabel Lee, Col Lin Shahar, Zarith Suraya Zulkifli, Norhadila Mohd Saidi, Nor Dilaila |
| author_sort | Johnson, Emilia |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host <jats:italic>Plasmodium knowlesi,</jats:italic> a zoonotic malaria of public health concern and the main barrier to malaria elimination in Southeast Asia. Understanding of regional <jats:italic>P. knowlesi</jats:italic> infection dynamics in wildlife is limited. Here, we systematically assemble reports of NHP <jats:italic>P. knowlesi</jats:italic> 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 <jats:italic>P. knowlesi</jats:italic> 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 <jats:italic>P. knowlesi</jats:italic> epidemiology and indicate that prevalence in simian reservoirs may be a key spatial driver of human spillover risk. |
| first_indexed | 2025-11-15T14:01:21Z |
| format | Article |
| id | upm-108884 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:01:21Z |
| publishDate | 2024 |
| publisher | eLife Sciences Publications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1088842024-09-26T08:29:49Z http://psasir.upm.edu.my/id/eprint/108884/ Landscape drives zoonotic malaria prevalence in non-human primates Johnson, Emilia Sunil Kumar Sharma, Reuben Ruiz Cuenca, Pablo Byrne, Isabel Lee, Col Lin Shahar, Zarith Suraya Zulkifli, Norhadila Mohd Saidi, Nor Dilaila Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host <jats:italic>Plasmodium knowlesi,</jats:italic> a zoonotic malaria of public health concern and the main barrier to malaria elimination in Southeast Asia. Understanding of regional <jats:italic>P. knowlesi</jats:italic> infection dynamics in wildlife is limited. Here, we systematically assemble reports of NHP <jats:italic>P. knowlesi</jats:italic> 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 <jats:italic>P. knowlesi</jats:italic> 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 <jats:italic>P. knowlesi</jats:italic> epidemiology and indicate that prevalence in simian reservoirs may be a key spatial driver of human spillover risk. eLife Sciences Publications 2024-05-16 Article PeerReviewed Johnson, Emilia and Sunil Kumar Sharma, Reuben and Ruiz Cuenca, Pablo and Byrne, Isabel and Lee, Col Lin and Shahar, Zarith Suraya and Zulkifli, Norhadila and Mohd Saidi, Nor Dilaila (2024) Landscape drives zoonotic malaria prevalence in non-human primates. eLife, 12. pp. 1-44. ISSN 2050-084X https://elifesciences.org/articles/88616 10.7554/elife.88616 |
| spellingShingle | Johnson, Emilia Sunil Kumar Sharma, Reuben Ruiz Cuenca, Pablo Byrne, Isabel Lee, Col Lin Shahar, Zarith Suraya Zulkifli, Norhadila Mohd Saidi, Nor Dilaila Landscape drives zoonotic malaria prevalence in non-human primates |
| title | Landscape drives zoonotic malaria prevalence in non-human primates |
| title_full | Landscape drives zoonotic malaria prevalence in non-human primates |
| title_fullStr | Landscape drives zoonotic malaria prevalence in non-human primates |
| title_full_unstemmed | Landscape drives zoonotic malaria prevalence in non-human primates |
| title_short | Landscape drives zoonotic malaria prevalence in non-human primates |
| title_sort | landscape drives zoonotic malaria prevalence in non-human primates |
| url | http://psasir.upm.edu.my/id/eprint/108884/ http://psasir.upm.edu.my/id/eprint/108884/ http://psasir.upm.edu.my/id/eprint/108884/ |