Knowledge, attitudes, and practices regarding malaria in rural Uganda: a cross-sectional study

Background. Malaria is endemic in 96% of Uganda, making targeted malaria prevention programming critical to malaria elimination. In areas with low transmission rates prevention resources are limited to mass distribution of bednets every three years. Mosquito nets remain one of the most efficient and affordable malaria prevention strategies. While net distributions have increased net ownership, that has not translated to a comparable increase in net use. The Luwero District is one of two areas with increased rates of severe malaria between 2017-2021. Findings from previous studies indicate that there are a variety of factors associated with individuals choosing not to use a net even when available. Materials and Methods. This study examined community members’ knowledge about malaria, their prevention methods, net ownership, net characteristics, and net use. Using a convenience sample of 106 adults, quantitative data were collected using a structured, in-person survey in four villages in central rural Uganda. Questions and response categories were read aloud; the researcher documented each response electronically. Descriptive statistics were used to characterise the sample populations. Theoretical constructs were compared between those with and without a recent diagnosis of malaria with the household. Logistic regression was used to determine the association between the theoretical constructs and recent malaria diagnosis after controlling for demographic characteristics. Results. Findings from this study indicate high rates of net ownership and self-reported use within the rural areas. Perceived susceptibility and barriers were greater among those with a recent diagnosis of malaria within the household. The positive association remained significant after controlling for household size. Conclusion. Understanding the specific factors related to individuals' knowledge and use of bednets is key to reducing rates of severe malaria.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15776706
Primary Topic
Advanced Biosensing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Knowledge, attitudes, and practices regarding malaria in rural Uganda: a cross-sectional study

Zenodo (CERN European Organization for Nuclear Research)
Advanced Biosensing Techniques and Applications
article

Knowledge, attitudes, and practices regarding malaria in rural Uganda: a cross-sectional study

article en

Abstract

Background. Malaria is endemic in 96% of Uganda, making targeted malaria prevention programming critical to malaria elimination. In areas with low transmission rates prevention resources are limited to mass distribution of bednets every three years. Mosquito nets remain one of the most efficient and affordable malaria prevention strategies. While net distributions have increased net ownership, that has not translated to a comparable increase in net use. The Luwero District is one of two areas with increased rates of severe malaria between 2017-2021. Findings from previous studies indicate that there are a variety of factors associated with individuals choosing not to use a net even when available. Materials and Methods. This study examined community members’ knowledge about malaria, their prevention methods, net ownership, net characteristics, and net use. Using a convenience sample of 106 adults, quantitative data were collected using a structured, in-person survey in four villages in central rural Uganda. Questions and response categories were read aloud; the researcher documented each response electronically. Descriptive statistics were used to characterise the sample populations. Theoretical constructs were compared between those with and without a recent diagnosis of malaria with the household. Logistic regression was used to determine the association between the theoretical constructs and recent malaria diagnosis after controlling for demographic characteristics. Results. Findings from this study indicate high rates of net ownership and self-reported use within the rural areas. Perceived susceptibility and barriers were greater among those with a recent diagnosis of malaria within the household. The positive association remained significant after controlling for household size. Conclusion. Understanding the specific factors related to individuals' knowledge and use of bednets is key to reducing rates of severe malaria.

Zenodo (CERN European Organization for Nuclear Research)
University of North Carolina Wilmington (US), Kennesaw State University (US), Ndejje University (UG)
Openalex Percentile: Top 56%
Advanced Biosensing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Knowledge, attitudes, and practices regarding malaria in rural Uganda: a cross-sectional study · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS