Spatial and Temporal Analysis of Plasmodium knowlesi Infection in Peninsular Malaysia, 2011 to 2018
Bibliographic Data
| ID | 15494128 |
|---|---|
| Authors | Wei Kit Phang (University of Malaya), Mohd Hafizi Abdul Hamid (Ministry of Health), Jenarun Jelip (Ministry of Health), Rose Nani Mudin (Ministry of Health), Ting‐Wu Chuang (0000-0001-8359-8172, Taipei Medical University, corresponding author), Yee Ling Lau (0000-0002-2037-2165, University of Malaya), Mun Yik Fong (0000-0001-5934-2724, University of Malaya) |
| Year | 2020 |
| Volume | 17 |
| Issue | 24 |
| Pages | 9271-9271 |
| Publication date | 2020-12-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17249271 |
| PMID | 33322414 |
| OpenAlex | W3111556351 |
| Language | EN |
| References cited | 43 |
The life-threatening zoonotic malaria cases caused by Plasmodium knowlesi in Malaysia has recently been reported to be the highest among all malaria cases; however, previous studies have mainly focused on the transmission of P. knowlesi in Malaysian Borneo (East Malaysia). This study aimed to describe the transmission patterns of P. knowlesi infection in Peninsular Malaysia (West Malaysia). The spatial distribution of P. knowlesi was mapped across Peninsular Malaysia using Geographic Information System techniques. Local indicators of spatial associations were used to evaluate spatial patterns of P. knowlesi incidence. Seasonal autoregressive integrated moving average models were utilized to analyze the monthly incidence of knowlesi malaria in the hotspot region from 2012 to 2017 and to forecast subsequent incidence in 2018. Spatial analysis revealed that hotspots were clustered in the central-northern region of Peninsular Malaysia. Time series analysis revealed the strong seasonality of transmission from January to March. This study provides fundamental information on the spatial distribution and temporal dynamic of P. knowlesi in Peninsular Malaysia from 2011 to 2018. Current control policy should consider different strategies to prevent the transmission of both human and zoonotic malaria, particularly in the hotspot region, to ensure a successful elimination of malaria in the future
Biology · Geography · Malaria · Plasmodium falciparum · Plasmodium knowlesi · Plasmodium vivax · Remote sensing · Spatial distribution · Transmission (telecommunications · Demography · Livestock and Poultry Management · Malaria Research and Control · Mosquito-borne diseases and control · Immunology
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| Highly cited | No |
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