Prevalence of malaria and its risk factors in Sabah, Malaysia

Objectives The aim of this study was to determine the prevalence of malaria in Sabah and its potential risk factors. Methods This cross-sectional study analysed secondary data obtained from the health clinics in Sabah, Malaysia from January to August 2016. The Pearson Chi-square test was used to...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Rahman Ramdzan, Aniza Ismail, M.Z. Zetty Sofia
Format: Article
Language:en
Published: Elseiver 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/25506/1/Prevalence%20of%20malaria%20and%20its%20risk%20factors%20in%20Sabah%2C%20Malaysia.pdf
https://eprints.ums.edu.my/id/eprint/25506/
https://doi.org/10.1016/j.ijid.2019.11.026
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objectives The aim of this study was to determine the prevalence of malaria in Sabah and its potential risk factors. Methods This cross-sectional study analysed secondary data obtained from the health clinics in Sabah, Malaysia from January to August 2016. The Pearson Chi-square test was used to analyse the relationships between malaria infection and socio-demographic characteristics. Multivariable logistic regression was performed in order to determine the risk factors for malaria in Sabah. Results Out of 1222 patients, 410 (33.6%) had a laboratory-confirmed malaria infection. Infection by Plasmodium knowlesi accounted for the majority of malaria reports in Sabah (n=340, 82.9%). Multivariable analysis indicated that males (prevalence odds ratio 0.023, 95% confidence interval 0.012-0.047) and those living in a rural area (prevalence odds ratio 0.004, 95% confidence interval 0.002-0.009) were at higher risk 24.0–95.9) and those living in a rural area (adjusted odds ratio 212.6, 95% confidence interval 105.8–427.2) were at higher risk of acquiring a malaria infection. Conclusions Malaria infections in Sabah, Malaysia are common, with P. knowlesi being the most common malaria parasite. The infection was associated with several socio-demographic and geographical factors. Thus, mitigation measures should be considered to address modifiable risk factors for malaria infection.