Spatial analyses of Plasmodium knowlesi vectors with reference to control interventions in Malaysia
Background Malaria parasites such as Plasmodium knowlesi, P. inui, and P. cynomolgi are spread from macaques to humans through the Leucosphyrus Group of Anopheles mosquitoes. It is crucial to know the distribution of these vectors to implement efective control measures for malaria elimination. Pla...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
BioMed Central Ltd
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/42976/4/Spatial.pdf http://ir.unimas.my/id/eprint/42976/ https://parasitesandvectors.biomedcentral.com/articles/10.1186/s13071-023-05984-x |
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| Summary: | Background Malaria parasites such as Plasmodium knowlesi, P. inui, and P. cynomolgi are spread from macaques
to humans through the Leucosphyrus Group of Anopheles mosquitoes. It is crucial to know the distribution
of these vectors to implement efective control measures for malaria elimination. Plasmodium knowlesi is the most
predominant zoonotic malaria parasite infecting humans in Malaysia.
Methods Vector data from various sources were used to create distribution maps from 1957 to 2021. A predictive
statistical model utilizing logistic regression was developed using signifcant environmental factors. Interpolation maps were created using the inverse distance weighted (IDW) method and overlaid with the corresponding
environmental variables.
Results Based on the IDW analysis, high vector abundances were found in the southwestern part of Sarawak, the northern region of Pahang and the northwestern part of Sabah. However, most parts of Johor, Sabah, Perlis, Penang, Kelantan and Terengganu had low vector abundance. The accuracy test indicated that the model predicted
sampling and non-sampling areas with 75.3% overall accuracy. The selected environmental variables were entered into the regression model based on their signifcant values. In addition to the presence of water bodies, elevation,
temperature, forest loss and forest cover were included in the fnal model since these were signifcantly correlated.
Anopheles mosquitoes were mainly distributed in Peninsular Malaysia (Titiwangsa range, central and northern parts), Sabah (Kudat, West Coast, Interior and Tawau division) and Sarawak (Kapit, Miri, and Limbang). The predicted Anopheles mosquito density was lower in the southern part of Peninsular Malaysia, the Sandakan Division of Sabah and the western region of Sarawak.
Conclusion The study ofers insight into the distribution of the Leucosphyrus Group of Anopheles mosquitoes in Malaysia. Additionally, the accompanying predictive vector map correlates well with cases of P. knowlesi malaria. This
research is crucial in informing and supporting future eforts by healthcare professionals to develop efective malaria control interventions. |
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