Associated factors of plasmodium knowlesi malaria among registered malaria cases in Terengganu, Malaysia 2011- September 2019 via Vekpro Online Database / Faizul Haris Mohd Hatta ... [et al.]

Mohd Hatta, Faizul Haris and Ismail, Zaliha and Azhar, Zahir Izuan and Ismail, Nurhuda and Abdul Rashid, Norafidah and Berahim, Ahmad Syaify (2021) Associated factors of plasmodium knowlesi malaria among registered malaria cases in Terengganu, Malaysia 2011- September 2019 via Vekpro Online Database / Faizul Haris Mohd Hatta ... [et al.]. Journal of Clinical and Health Sciences (JCHS), 6 (2). pp. 23-35. ISSN 0127-984X

Abstract

Introduction: Plasmodium knowlesi (P. knowlesi), zoonotic malaria cases had been increasing in trend in Terengganu, Malaysia. This study aimed to determine the associated factors of P. knowlesi malaria among registered malaria cases in Terengganu from 2011 to September 2019 via the Vekpro Online Database. Methods: A cross-sectional study was conducted using registered malaria cases in Terengganu from 2011 to September 2019 extracted from the Vekpro Online database and secondary weather data from the Malaysian Meteorological Department. A total sample of 247 malaria cases [(P. knowlesi (n=187), P. falciparum (n=23), P. vivax (n=37), P. malariae (n=4), mixed infection (n=3)] were analysed. The cases were grouped into P. knowlesi group (P. knowlesi, P. malariae, mixed infection) and non-P. knowlesi group (P. falciparum, P. vivax) for comparison of their risk factors. Multiple Logistic Regression analysis was used to identify the associated factors. Results: Plasmodium knowlesi group contributed to 187 out of 247 (75.7%) of all malaria cases. Four factors were found to be significantly associated with P. knowlesi group in the final multivariable logistic regression analysis. Age [AOR=1.04 (95% CI: 1.01,1.08)], Malay race [AOR=39.43 (95% CI: 13.99,111.18)], agriculture and forestry worker [AOR=14.95 (95% CI: 4.10,54.51)] and Passive Case Detection [AOR=11.70 (95% CI: 2.60,52.63)] were the significant associated factors. Conclusions: Identified significant associated factors and characteristics of the high-risk group for P. knowlesi infection can help medical and health front liners in Terengganu in early diagnosis and prompt treatment of the cases. The factors also will help in the planning and development of health interventions in targeting P. knowlesi infection.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Hatta, Faizul Haris
UNSPECIFIED
Ismail, Zaliha
zaliha78@uitm.edu.my
Azhar, Zahir Izuan
UNSPECIFIED
Ismail, Nurhuda
UNSPECIFIED
Abdul Rashid, Norafidah
UNSPECIFIED
Berahim, Ahmad Syaify
UNSPECIFIED
Subjects: R Medicine > RA Public aspects of medicine > Communicable diseases and public health
R Medicine > RC Internal Medicine > Infectious and parasitic diseases
Divisions: Universiti Teknologi MARA, Selangor > Sungai Buloh Campus > Faculty of Medicine
Journal or Publication Title: Journal of Clinical and Health Sciences (JCHS)
UiTM Journal Collections: UiTM Journal > Journal of Clinical and Health Sciences (JCHS)
ISSN: 0127-984X
Volume: 6
Number: 2
Page Range: pp. 23-35
Keywords: Plasmodium knowlesi, zoonosis, malaria, Terengganu
Date: September 2021
URI: https://ir.uitm.edu.my/id/eprint/70283
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