Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017
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-confirm...
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Veröffentlicht in: | The American journal of tropical medicine and hygiene 2021-03, Vol.104 (5), p.1814-1819 |
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description | 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. |
doi_str_mv | 10.4269/ajtmh.20-1304 |
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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.</description><identifier>ISSN: 0002-9637</identifier><identifier>EISSN: 1476-1645</identifier><identifier>DOI: 10.4269/ajtmh.20-1304</identifier><identifier>PMID: 33755585</identifier><language>eng</language><publisher>United States: Institute of Tropical Medicine</publisher><subject>Humans ; Incidence ; Malaria ; Malaria - epidemiology ; Malaysia - epidemiology ; Plasmodium knowlesi - pathogenicity ; Retrospective Studies ; Spatio-Temporal Analysis</subject><ispartof>The American journal of tropical medicine and hygiene, 2021-03, Vol.104 (5), p.1814-1819</ispartof><rights>Copyright Institute of Tropical Medicine May 2021</rights><rights>The American Society of Tropical Medicine and Hygiene 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-56eb00ea6267468af6b73ea74f4b34297560b20d0aa41d08dc9c30701ceabc113</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103491/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103491/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33755585$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ooi, Choo Huck</creatorcontrib><creatorcontrib>Phang, Wei Kit</creatorcontrib><creatorcontrib>Kent Liew, Jonathan Wee</creatorcontrib><creatorcontrib>Lau, Yee Ling</creatorcontrib><title>Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017</title><title>The American journal of tropical medicine and hygiene</title><addtitle>Am J Trop Med Hyg</addtitle><description>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.</description><subject>Humans</subject><subject>Incidence</subject><subject>Malaria</subject><subject>Malaria - epidemiology</subject><subject>Malaysia - epidemiology</subject><subject>Plasmodium knowlesi - pathogenicity</subject><subject>Retrospective Studies</subject><subject>Spatio-Temporal Analysis</subject><issn>0002-9637</issn><issn>1476-1645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkc9L3EAUxwexdFfbo1cZ8NJL7JvfyaUgi1VhSwXXg6fhJZm4syaZ7UxS8b9vVq3Unh6P9-HL-_Ih5IjBqeS6-IqboVufcsiYALlH5kwanTEt1T6ZAwDPCi3MjByktAFgOWfsI5kJYZRSuZqTu5stDh5bin1NV67bhjgt1zgMLvaJhoZet5i6UPuxow99eGxd8vQHthg9Ut_TG4z4iA-0iaGjHCCnQ5gmM5_Ihwbb5D6_zkNy-_18tbjMlj8vrhZny6ySTA2Z0q4EcKi5NlLn2OjSCIdGNrIUkhdGaSg51IAoWQ15XRWVAAOsclhWjIlD8u0ldzuWnasr1w9TBbuNvsP4ZAN6-_7S-7W9D79tzkDIYhfw5TUghl-jS4PtfKpc22LvwpgsVyCNyaUuJvTkP3QTxthP9SZKgwSjJJ-o7IWqYkgpuubtGQZ2J80-S7Mc7E7axB__2-CN_mtJ_AGb25Ib</recordid><startdate>20210322</startdate><enddate>20210322</enddate><creator>Ooi, Choo Huck</creator><creator>Phang, Wei Kit</creator><creator>Kent Liew, Jonathan Wee</creator><creator>Lau, Yee Ling</creator><general>Institute of Tropical Medicine</general><general>The American Society of Tropical Medicine and Hygiene</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210322</creationdate><title>Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017</title><author>Ooi, Choo Huck ; Phang, Wei Kit ; Kent Liew, Jonathan Wee ; Lau, Yee Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-56eb00ea6267468af6b73ea74f4b34297560b20d0aa41d08dc9c30701ceabc113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Humans</topic><topic>Incidence</topic><topic>Malaria</topic><topic>Malaria - epidemiology</topic><topic>Malaysia - epidemiology</topic><topic>Plasmodium knowlesi - pathogenicity</topic><topic>Retrospective Studies</topic><topic>Spatio-Temporal Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ooi, Choo Huck</creatorcontrib><creatorcontrib>Phang, Wei Kit</creatorcontrib><creatorcontrib>Kent Liew, Jonathan Wee</creatorcontrib><creatorcontrib>Lau, Yee Ling</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The American journal of tropical medicine and hygiene</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ooi, Choo Huck</au><au>Phang, Wei Kit</au><au>Kent Liew, Jonathan Wee</au><au>Lau, Yee Ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017</atitle><jtitle>The American journal of tropical medicine and hygiene</jtitle><addtitle>Am J Trop Med Hyg</addtitle><date>2021-03-22</date><risdate>2021</risdate><volume>104</volume><issue>5</issue><spage>1814</spage><epage>1819</epage><pages>1814-1819</pages><issn>0002-9637</issn><eissn>1476-1645</eissn><abstract>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.</abstract><cop>United States</cop><pub>Institute of Tropical Medicine</pub><pmid>33755585</pmid><doi>10.4269/ajtmh.20-1304</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Humans Incidence Malaria Malaria - epidemiology Malaysia - epidemiology Plasmodium knowlesi - pathogenicity Retrospective Studies Spatio-Temporal Analysis |
title | Spatial and Temporal Patterns of Plasmodium knowlesi Malaria in Sarawak from 2008 to 2017 |
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