Factors associated With P. knowlesi clusters in Cleared foci areas in Sabah

Adora J. Muyou and Syed Sharizman Syed Abdul Rahim and Koay Teng Khoon and Priya Dharishini Kunasagran and Azman Atil and Aizuddin Hidrus and Ahmad Hazim Mohammad and Mohd Fazeli Sazali and Rahmat Dapari and Mohammad Saffree Jeffree and Mohd Rohaizat Hassan and Norsyahida Md. Taib and S. Muhammad Izuddin Rabbani Mohd Zali and Sheila Miriam Mujin and Goh Shu Meng (2024) Factors associated With P. knowlesi clusters in Cleared foci areas in Sabah. Malaysian Journal of Medicine and Health Sciences, 20 (2). pp. 1-7. ISSN 2636-9346

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Abstract

Introduction: Plasmodium knowlesi cases is increasing in trend despite integrated vector management leading to morbidity and death. This study determines the association between P. knowlesi cluster with vector control, risk factors and its spatiotemporal distribution in cleared foci area in Sabah. Methods: This is a cross sectional study between 2017 and 2019 involving P. knowlesi cases in cleared foci registered in Vekpro Online. Simple logistic regression tests were performed using Statistics Package for the Social Sciences (SPSS) software and spatiotemporal distribution mapped using Quantum Geographic Information System (QGIS) software. Results: A total of 4,739 cases were analysed and high P. knowlesi cases reported in Ranau (17.1%), Keningau (12.8), Tenom (10.8%), Kudat (8.1%) and Kota Marudu (7.2%). Younger age groups (0 – 9 years), the Rungus ethnicity, and the use of vector control measures were positively associated with P. knowlesi clusters with the odds ratio of 2.421 (95% CI [1.596, 3.674]), 2.654 (95% CI [1.899, 3.708]), and 2.559 (95% CI [2.175, 3.011]) respectively. However, age group of 50-59 years, male gender, occupations related to agriculture, and employment in the private sector or self-employed were negatively associated with P. knowlesi clusters in cleared foci in Sabah with odds ratio between 0.478 and 0.771. The prevalence of P. knowlesi in cleared foci in Sabah were 36.2%, 44.09% per and 41.59% per 100,000 population in 2017, 2018 and 2019 respectively. The distribution differs in districts. Conclusion: Tailored measures and spatiotemporal distribution of P. knowlesi cluster is useful to reduce transmission and aids focus-based planning.

Item Type:	Article
Keyword:	Malaria, Plasmodium knowlesi, Sabah, GIS
Subjects:	R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine > RA643-645 Disease (Communicable and noninfectious) and public health R Medicine > RB Pathology > RB1-214 Pathology > RB127-150 Manifestations of disease
Department:	FACULTY > Faculty of Medicine and Health Sciences
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	07 Jan 2025 12:00
Last Modified:	07 Jan 2025 12:00
URI:	https://eprints.ums.edu.my/id/eprint/42553

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