Efficient Surveillance of Plasmodium knowlesi Genetic Subpopulations, Malaysian Borneo, 2000–2018

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Divis, Paul C.S ; Hu, Ting H. ; Kadir, Khamisah A. ; Mohammad, Dayang S.A. ; Hii, King C. ; Daneshvar, Cyrus ; Conway, David J. ; Singh, Balbir
• Description:
  Population genetic analysis revealed that Plasmodium knowlesi infections in Malaysian Borneo are caused by 2 divergent parasites associated with long-tailed (cluster 1) and pig-tailed (cluster 2) macaques. Because the transmission ecology is likely to differ for each macaque species, we developed a simple genotyping PCR to efficiently distinguish between and survey the 2 parasite subpopulations. This assay confirmed differences in the relative proportions in areas of Kapit division of Sarawak state, consistent with multilocus microsatellite analyses. Analyses of 1,204 human infections at Kapit Hospital showed that cluster 1 caused approximately two thirds of cases with no significant temporal changes from 2000 to 2018. We observed an apparent increase in overall numbers in the most recent 2 years studied, driven mainly by increased cluster 1 parasite infections. Continued monitoring of the frequency of different parasite subpopulations and correlation with environmental alterations are necessary to determine whether the epidemiology will change substantially.
• Subjects:
  Anopheles Efficient Surveillance Of Plasmodium Knowlesi Genetic Subpopulations, Malaysian Borneo, 2000–2018 Malaria Malaysia Malaysian Borneo Mosquitoes Parasites Parasitic Diseases Plasmodium Knowlesi Research Surveillance Vector-Borne Infections Zoonosis

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• Source:
  Emerg Infect Dis. 26(7):1392-1398
• Pubmed ID:
  32568035
• Pubmed Central ID:
  PMC7323547
• Document Type:
  Journal Article
• Volume:
  26
• Issue:
  7
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:18238cec895af5e87567aa8b163261c34cb8e3aac89f43f174f120b305f30b82
• Download URL:
  https://stacks.cdc.gov/view/cdc/90166/cdc_90166_DS1.pdf
• File Type:
  [PDF - 2.55 MB ]