Association between Landscape Factors and Spatial Patterns of Plasmodium knowlesi Infections in Sabah, Malaysia

The zoonotic malaria species Plasmodium knowlesi has become the main cause of human malaria in Malaysian Borneo. Deforestation and associated environmental and population changes have been hypothesized as main drivers of this apparent emergence. We gathered village-level data for P. knowlesi incidence for the districts of Kudat and Kota Marudu in Sabah state, Malaysia, for 2008–2012. We adjusted malaria records from routine reporting systems to reflect the diagnostic uncertainty of microscopy for P. knowlesi. We also developed negative binomial spatial autoregressive models to assess potential... Mehr ...

Verfasser: Kimberly M. Fornace
Tommy Rowel Abidin
Neal Alexander
Paddy Brock
Matthew J. Grigg
Amanda Murphy
Timothy William
Jayaram Menon
Chris J. Drakeley
Jonathan Cox
Dokumenttyp: Artikel
Erscheinungsdatum: 2016
Reihe/Periodikum: Emerging Infectious Diseases, Vol 22, Iss 2, Pp 201-209 (2016)
Verlag/Hrsg.: Centers for Disease Control and Prevention
Schlagwörter: Plasmodium knowlesi / deforestation / malaria / parasites / zoonoses / mosquitoes / Medicine / R / Infectious and parasitic diseases / RC109-216
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29234359
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3201/eid2202.150656

The zoonotic malaria species Plasmodium knowlesi has become the main cause of human malaria in Malaysian Borneo. Deforestation and associated environmental and population changes have been hypothesized as main drivers of this apparent emergence. We gathered village-level data for P. knowlesi incidence for the districts of Kudat and Kota Marudu in Sabah state, Malaysia, for 2008–2012. We adjusted malaria records from routine reporting systems to reflect the diagnostic uncertainty of microscopy for P. knowlesi. We also developed negative binomial spatial autoregressive models to assess potential associations between P. knowlesi incidence and environmental variables derived from satellite-based remote-sensing data. Marked spatial heterogeneity in P. knowlesi incidence was observed, and village-level numbers of P. knowlesi cases were positively associated with forest cover and historical forest loss in surrounding areas. These results suggest the likelihood that deforestation and associated environmental changes are key drivers in P. knowlesi transmission in these areas.