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Why is malaria associated with poverty? Findings from a cohort study in rural Uganda

Overview of attention for article published in Infectious Diseases of Poverty, August 2016
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Title
Why is malaria associated with poverty? Findings from a cohort study in rural Uganda
Published in
Infectious Diseases of Poverty, August 2016
DOI 10.1186/s40249-016-0164-3
Pubmed ID
Authors

Lucy S. Tusting, John Rek, Emmanuel Arinaitwe, Sarah G. Staedke, Moses R. Kamya, Jorge Cano, Christian Bottomley, Deborah Johnston, Grant Dorsey, Steve W. Lindsay, Jo Lines

Abstract

Malaria control and sustainable development are linked, but implementation of 'multisectoral' intervention is restricted by a limited understanding of the causal pathways between poverty and malaria. We investigated the relationships between socioeconomic position (SEP), potential determinants of SEP, and malaria in Nagongera, rural Uganda. Socioeconomic information was collected for 318 children aged six months to 10 years living in 100 households, who were followed for up to 36 months. Mosquito density was recorded using monthly light trap collections. Parasite prevalence was measured routinely every three months and malaria incidence determined by passive case detection. First, we evaluated the association between success in smallholder agriculture (the primary livelihood source) and SEP. Second, we explored socioeconomic risk factors for human biting rate (HBR), parasite prevalence and incidence of clinical malaria, and spatial clustering of socioeconomic variables. Third, we investigated the role of selected factors in mediating the association between SEP and malaria. Relative agricultural success was associated with higher SEP. In turn, high SEP was associated with lower HBR (highest versus lowest wealth index tertile: Incidence Rate Ratio 0.71, 95 % confidence intervals (CI) 0.54-0.93, P = 0.01) and lower odds of malaria infection in children (highest versus lowest wealth index tertile: adjusted Odds Ratio 0.52, 95 % CI 0.35-0.78, P = 0.001), but SEP was not associated with clinical malaria incidence. Mediation analysis suggested that part of the total effect of SEP on malaria infection risk was explained by house type (24.9 %, 95 % CI 15.8-58.6 %) and food security (18.6 %, 95 % CI 11.6-48.3 %); however, the assumptions of the mediation analysis may not have been fully met. Housing improvements and agricultural development interventions to reduce poverty merit further investigation as multisectoral interventions against malaria. Further interdisplinary research is needed to understand fully the complex pathways between poverty and malaria and to develop strategies for sustainable malaria control.

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Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 17%
Student > Ph. D. Student 28 12%
Researcher 25 11%
Student > Bachelor 19 8%
Student > Doctoral Student 15 7%
Other 36 16%
Unknown 66 29%
Readers by discipline Count As %
Medicine and Dentistry 43 19%
Nursing and Health Professions 27 12%
Agricultural and Biological Sciences 22 10%
Biochemistry, Genetics and Molecular Biology 11 5%
Social Sciences 8 3%
Other 45 20%
Unknown 73 32%