Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.

<h4>Background</h4>In the Malaysian state of Sabah, P. knowlesi notifications increased from 2% (59/2,741) of total malaria notifications in 2004 to 98% (2030/2,078) in 2017. There was a gap regarding P. knowlesi acquisition risk factors related to practice specifically in working age gr...

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Autores principales:	Abraham Zefong Chin, Richard Avoi, Azman Atil, Khamisah Awang Lukman, Syed Sharizman Syed Abdul Rahim, Mohd Yusof Ibrahim, Kamruddin Ahmed, Mohammad Saffree Jeffree
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/98c2c53e22f140059e81606e61c134d8
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spelling	oai:doaj.org-article:98c2c53e22f140059e81606e61c134d82021-12-02T20:08:19ZRisk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.1932-620310.1371/journal.pone.0257104https://doaj.org/article/98c2c53e22f140059e81606e61c134d82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257104https://doaj.org/toc/1932-6203<h4>Background</h4>In the Malaysian state of Sabah, P. knowlesi notifications increased from 2% (59/2,741) of total malaria notifications in 2004 to 98% (2030/2,078) in 2017. There was a gap regarding P. knowlesi acquisition risk factors related to practice specifically in working age group. The main objective of this study was to identify the risk factors for acquiring P. knowlesi infection in Sabah among the working age group.<h4>Methods and methods</h4>This retrospective population-based case-control study was conducted in Ranau district to assess sociodemographic, behavioural and medical history risk factors using a pretested questionnaire. The data were entered and analyzed using IBM SPSS version 23. Bivariate analysis was conducted using binary logistic regression whereas multivariate analysis was conducted using multivariable logistic regression. We set a statistical significance at p-value less than or equal to 0.05.<h4>Results</h4>A total of 266 cases and 532 controls were included in the study. Male gender (AOR = 2.71; 95% CI: 1.63-4.50), spending overnight in forest (AOR = 1.92; 95% CI: 1.20-3.06), not using mosquito repellent (AOR = 2.49; 95% CI: 1.36-4.56) and history of previous malaria infection (AOR = 49.34; 95% CI: 39.09-78.32) were found to be independent predictors of P. knowlesi infection.<h4>Conclusions</h4>This study showed the need to strengthen the strategies in preventing and controlling P. knowlesi infection specifically in changing the practice of spending overnight in forest and increasing the usage of personal mosquito repellent.Abraham Zefong ChinRichard AvoiAzman AtilKhamisah Awang LukmanSyed Sharizman Syed Abdul RahimMohd Yusof IbrahimKamruddin AhmedMohammad Saffree JeffreePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257104 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Abraham Zefong Chin Richard Avoi Azman Atil Khamisah Awang Lukman Syed Sharizman Syed Abdul Rahim Mohd Yusof Ibrahim Kamruddin Ahmed Mohammad Saffree Jeffree Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
description	<h4>Background</h4>In the Malaysian state of Sabah, P. knowlesi notifications increased from 2% (59/2,741) of total malaria notifications in 2004 to 98% (2030/2,078) in 2017. There was a gap regarding P. knowlesi acquisition risk factors related to practice specifically in working age group. The main objective of this study was to identify the risk factors for acquiring P. knowlesi infection in Sabah among the working age group.<h4>Methods and methods</h4>This retrospective population-based case-control study was conducted in Ranau district to assess sociodemographic, behavioural and medical history risk factors using a pretested questionnaire. The data were entered and analyzed using IBM SPSS version 23. Bivariate analysis was conducted using binary logistic regression whereas multivariate analysis was conducted using multivariable logistic regression. We set a statistical significance at p-value less than or equal to 0.05.<h4>Results</h4>A total of 266 cases and 532 controls were included in the study. Male gender (AOR = 2.71; 95% CI: 1.63-4.50), spending overnight in forest (AOR = 1.92; 95% CI: 1.20-3.06), not using mosquito repellent (AOR = 2.49; 95% CI: 1.36-4.56) and history of previous malaria infection (AOR = 49.34; 95% CI: 39.09-78.32) were found to be independent predictors of P. knowlesi infection.<h4>Conclusions</h4>This study showed the need to strengthen the strategies in preventing and controlling P. knowlesi infection specifically in changing the practice of spending overnight in forest and increasing the usage of personal mosquito repellent.
format	article
author	Abraham Zefong Chin Richard Avoi Azman Atil Khamisah Awang Lukman Syed Sharizman Syed Abdul Rahim Mohd Yusof Ibrahim Kamruddin Ahmed Mohammad Saffree Jeffree
author_facet	Abraham Zefong Chin Richard Avoi Azman Atil Khamisah Awang Lukman Syed Sharizman Syed Abdul Rahim Mohd Yusof Ibrahim Kamruddin Ahmed Mohammad Saffree Jeffree
author_sort	Abraham Zefong Chin
title	Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
title_short	Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
title_full	Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
title_fullStr	Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
title_full_unstemmed	Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.
title_sort	risk factor of plasmodium knowlesi infection in sabah borneo malaysia, 2020: a population-based case-control study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/98c2c53e22f140059e81606e61c134d8
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Risk factor of plasmodium knowlesi infection in Sabah Borneo Malaysia, 2020: A population-based case-control study.

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