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Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019

Objectives To characterise the state-wide epidemiology of indigenous knowlesi malaria in Sarawak from 2011 to 2019. Methods Longitudinal retrospective study was conducted based on Sarawak knowlesi malaria surveillance data recorded from 2011-2019. Only indigenous cases were included and information...

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Main Authors: Ooi, Choo Huck, Phang, Wei Kit, Liew, Jonathan Wee Kent, Atroosh, Wahib M., Lau, Yee Ling
Format: Article
Published: Wiley 2022
Subjects:
RA Public aspects of medicine
RC Internal medicine
Online Access:http://eprints.um.edu.my/41635/
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spelling my.um.eprints.416352023-11-22T08:30:13Z http://eprints.um.edu.my/41635/ Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019 Ooi, Choo Huck Phang, Wei Kit Liew, Jonathan Wee Kent Atroosh, Wahib M. Lau, Yee Ling RA Public aspects of medicine RC Internal medicine Objectives To characterise the state-wide epidemiology of indigenous knowlesi malaria in Sarawak from 2011 to 2019. Methods Longitudinal retrospective study was conducted based on Sarawak knowlesi malaria surveillance data recorded from 2011-2019. Only indigenous cases were included and information extracted for analysis comprised age, sex, occupation, ethnicity, case severity, hospital admission and parasite density. Results Over the 9 years, 8473 indigenous knowlesi malaria cases were recorded. Age group 40-49 years, males, plantation workers and Iban communities recorded the highest percentage of cases in each demographic variable. Most of the cases were uncomplicated (n = 7292; 86.1%) and 89.6% (n = 7589) of the total cases were reported with <= 20 000 parasites/mu l of blood. Age group and ethnic group are associated with the severity of knowlesi malaria in Sarawak. Multivariable logistic regression indicated that the age group 60+ years had the highest odds of developing severe knowlesi malaria compared with other age groups (AOR 2.48; 95% CI 1.22, 5.02; p = 0.012). Bidayuh patients were more likely to develop severe knowlesi malaria than Ibans, the largest ethnic group among knowlesi malaria patients (AOR 1.97; 95% CI 1.31, 2.97; p = 0.001). Conclusions Identification of risk groups is important for the implementation of prevention programs and treatments targeting at specific group to combat knowlesi malaria effectively. Wiley 2022-08 Article PeerReviewed Ooi, Choo Huck and Phang, Wei Kit and Liew, Jonathan Wee Kent and Atroosh, Wahib M. and Lau, Yee Ling (2022) Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019. Tropical Medicine and International Health, 27 (8). pp. 705-718. ISSN 1360-2276, DOI https://doi.org/10.1111/tmi.13788 <https://doi.org/10.1111/tmi.13788>. 10.1111/tmi.13788
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic RA Public aspects of medicine
RC Internal medicine
spellingShingle RA Public aspects of medicine
RC Internal medicine
Ooi, Choo Huck
Phang, Wei Kit
Liew, Jonathan Wee Kent
Atroosh, Wahib M.
Lau, Yee Ling
Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
description Objectives To characterise the state-wide epidemiology of indigenous knowlesi malaria in Sarawak from 2011 to 2019. Methods Longitudinal retrospective study was conducted based on Sarawak knowlesi malaria surveillance data recorded from 2011-2019. Only indigenous cases were included and information extracted for analysis comprised age, sex, occupation, ethnicity, case severity, hospital admission and parasite density. Results Over the 9 years, 8473 indigenous knowlesi malaria cases were recorded. Age group 40-49 years, males, plantation workers and Iban communities recorded the highest percentage of cases in each demographic variable. Most of the cases were uncomplicated (n = 7292; 86.1%) and 89.6% (n = 7589) of the total cases were reported with <= 20 000 parasites/mu l of blood. Age group and ethnic group are associated with the severity of knowlesi malaria in Sarawak. Multivariable logistic regression indicated that the age group 60+ years had the highest odds of developing severe knowlesi malaria compared with other age groups (AOR 2.48; 95% CI 1.22, 5.02; p = 0.012). Bidayuh patients were more likely to develop severe knowlesi malaria than Ibans, the largest ethnic group among knowlesi malaria patients (AOR 1.97; 95% CI 1.31, 2.97; p = 0.001). Conclusions Identification of risk groups is important for the implementation of prevention programs and treatments targeting at specific group to combat knowlesi malaria effectively.
format Article
author Ooi, Choo Huck
Phang, Wei Kit
Liew, Jonathan Wee Kent
Atroosh, Wahib M.
Lau, Yee Ling
author_facet Ooi, Choo Huck
Phang, Wei Kit
Liew, Jonathan Wee Kent
Atroosh, Wahib M.
Lau, Yee Ling
author_sort Ooi, Choo Huck
title Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
title_short Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
title_full Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
title_fullStr Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
title_full_unstemmed Epidemiology of indigenous Plasmodium knowlesi infection in Sarawak, 2011-2019
title_sort epidemiology of indigenous plasmodium knowlesi infection in sarawak, 2011-2019
publisher Wiley
publishDate 2022
url http://eprints.um.edu.my/41635/
_version_ 1783876730908311552
score 13.211869

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