Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017
| Autor: | Wei Kit Phang, Choo Huck Ooi, Jonathan Wee Kent Liew, Yee Ling Lau |
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| Rok vydání: | 2021 |
| Předmět: |
030231 tropical medicine
Central region Retrospective data law.invention 03 medical and health sciences Spatio-Temporal Analysis 0302 clinical medicine law Virology Malaria elimination parasitic diseases medicine Humans Plasmodium knowlesi Retrospective Studies biology Incidence fungi Malaysia Articles biology.organism_classification medicine.disease Malaria Infectious Diseases Geography Transmission (mechanics) Malaria incidence Parasitology Malaria control Cartography |
| Zdroj: | Am J Trop Med Hyg |
| ISSN: | 1476-1645 0002-9637 |
| Popis: | Zoonotic knowlesi malaria has replaced human malaria as the most prevalent malaria disease in Malaysia. The persistence of knowlesi malaria in high-risk transmission areas or hotspots can be discouraging to existing malaria elimination efforts. In this study, retrospective data of laboratory-confirmed knowlesi malaria cases were obtained from the Sarawak Health Department to investigate the spatiotemporal patterns and clustering of knowlesi malaria in the state of Sarawak from 2008 to 2017. Purely spatial, purely temporal, and spatiotemporal analyses were performed using SaTScan software to define clustering of knowlesi malaria incidence. Purely spatial and spatiotemporal analyses indicated most likely clusters of knowlesi malaria in the northern region of Sarawak, along the Sarawak–Kalimantan border, and the inner central region of Sarawak between 2008 and 2017. Temporal cluster was detected between September 2016 and December 2017. This study provides evidence of the existence of statistically significant Plasmodium knowlesi malaria clusters in Sarawak, Malaysia. The analysis approach applied in this study showed potential in establishing surveillance and risk management system for knowlesi malaria control as Malaysia approaches human malaria elimination. |
| Databáze: | OpenAIRE |
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