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Updated: May 3, 2026

A Multi-detection Assay for Malaria Transmitting Mosquitoes
Published on: February 28, 2015
Assessing the Malaria Burden and Community Response to the Malaria Control and Management Programs in Omoro District,
Divas Soyekwo1, Elizabeth A Opiyo1, Reiginald Austin1
1Department of Biology, Faculty of Science, Gulu University 166, Gulu, Uganda.
Abstract:
Background: Malaria remains the leading cause of hospitalization and death in the healthcare system. This study explored the malaria burden and community response to government malaria control programs in Omoro district. Method: This retrospective study involved 576 patient results from purposely selected health facilities data from health center III (HCIII) of Odek, Bobi, and Lapainat and health center IV (HCIV) of Lalogi. And prospective random section study involved 288 participants from Lutori and Lagude cells and Atyang A and Lagwaya villages who consented to answer the pretested questionnaire. Results: The prevalence of malaria in Omoro district in 2018 and 2019 was 81.6% and 97.2% for hospital record positivity and community surveys, respectively. The participants had 100% knowledge of malaria signs, symptoms, and cause. The average number of malaria attacks an individual received in the district from the health facility and community data was three. Nonadherence to government control programs was associated with an increased incidence of malaria infections. From questionnaire, the proportion of people that used local herbal remedies for treatment and prevention of malaria were 21.2% of the sampled 288 participants. Conclusion: The high rate of malaria attacks indicates that the area has a high prevalence of malaria-carrying mosquitoes. The increase in the proportion of malaria attacks in 2019 suggests that the burden of malaria increased compared with that in the previous year, with approximately 21% of local herbal remedies for malaria treatment and management. The findings of this study suggest that malaria attacks are associated with household size, age, sex, occupation, and the household head. Participants who did not respond positively to government programs experienced more malaria attacks. These findings can be used to develop interventions to reduce the incidence of malaria in this population.
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