Spatiotemporal analysis of insecticide-treated net use for children under 5 in relation to socioeconomic gradients in Central and East Africa.


Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
22 Apr 2020
Historique:
received: 15 01 2020
accepted: 15 04 2020
entrez: 24 4 2020
pubmed: 24 4 2020
medline: 15 12 2020
Statut: epublish

Résumé

Insecticide-treated net (ITN) use is the core intervention among the strategies against malaria in sub-Saharan Africa (SSA) and the percentage of ITN ownership has increased from 47% in 2010 to 72% in 2017 across countries in SSA. Regardless of this massive expansion of ITN distribution, considerable gap between ownership and use of ITNs has been reported. Using data from more than 100,000 households in Central and East Africa (CEA) countries, the main aim of this study was to identify barriers associated with low ITN use and conduct geospatial analyses to estimate numbers and locations of vulnerable children living in areas with high malaria and low ITN use. Main sources of data for this study were the Demographic and Health Surveys and Malaria Indicator Surveys conducted in 11 countries in CEA. Logistic regression models for each country were built to assess the association between ITN ownership or ITN use and several socioeconomic and demographic variables. A density map of children under 5 living in areas at high-risk of malaria and low ITN use was generated to estimate the number of children who are living in these high malaria burden areas. Results obtained suggest that factors such as the number of members in the household, total number of children in the household, education and place of residence can be key factors linked to the use of ITN for protecting children against malaria in CEA. Results from the spatiotemporal analyses found that although total rates of ownership and use of ITNs across CEA have increased up to 70% and 48%, respectively, a large proportion of children under 5 (19,780,678; 23% of total number of children) still lives in high-risk malaria areas with low use of ITNs. The results indicate that despite substantial progress in the distribution of ITNs in CEA, with about 70% of the households having an ITN, several socioeconomic factors have compromised the effectiveness of this control intervention against malaria, and only about 48% of the households protect their children under 5 with ITNs. Increasing the effective ITN use by targeting these factors and the areas where vulnerable children reside can be a core strategy meant to reducing malaria transmission.

Sections du résumé

BACKGROUND BACKGROUND
Insecticide-treated net (ITN) use is the core intervention among the strategies against malaria in sub-Saharan Africa (SSA) and the percentage of ITN ownership has increased from 47% in 2010 to 72% in 2017 across countries in SSA. Regardless of this massive expansion of ITN distribution, considerable gap between ownership and use of ITNs has been reported. Using data from more than 100,000 households in Central and East Africa (CEA) countries, the main aim of this study was to identify barriers associated with low ITN use and conduct geospatial analyses to estimate numbers and locations of vulnerable children living in areas with high malaria and low ITN use.
METHODS METHODS
Main sources of data for this study were the Demographic and Health Surveys and Malaria Indicator Surveys conducted in 11 countries in CEA. Logistic regression models for each country were built to assess the association between ITN ownership or ITN use and several socioeconomic and demographic variables. A density map of children under 5 living in areas at high-risk of malaria and low ITN use was generated to estimate the number of children who are living in these high malaria burden areas.
RESULTS RESULTS
Results obtained suggest that factors such as the number of members in the household, total number of children in the household, education and place of residence can be key factors linked to the use of ITN for protecting children against malaria in CEA. Results from the spatiotemporal analyses found that although total rates of ownership and use of ITNs across CEA have increased up to 70% and 48%, respectively, a large proportion of children under 5 (19,780,678; 23% of total number of children) still lives in high-risk malaria areas with low use of ITNs.
CONCLUSION CONCLUSIONS
The results indicate that despite substantial progress in the distribution of ITNs in CEA, with about 70% of the households having an ITN, several socioeconomic factors have compromised the effectiveness of this control intervention against malaria, and only about 48% of the households protect their children under 5 with ITNs. Increasing the effective ITN use by targeting these factors and the areas where vulnerable children reside can be a core strategy meant to reducing malaria transmission.

Identifiants

pubmed: 32321547
doi: 10.1186/s12936-020-03236-2
pii: 10.1186/s12936-020-03236-2
pmc: PMC7178571
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

163

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Auteurs

Hana Kim (H)

Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, 45221, USA.
Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, USA.

F DeWolfe Miller (FD)

Department of Tropical Medicine and Medical Microbiology and Pharmacology, University of Hawaii, Honolulu, HI, USA.

Andres Hernandez (A)

Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, 45221, USA.
Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, USA.

Frank Tanser (F)

Research Department of Infection & Population Health, University College London, London, UK.
Africa Health Research Institute, Durban, Kwazulu-Natal, South Africa.
School of Nursing and Public Health, University of KwaZulu-Natal, Durban, Kwazulu-Natal, South Africa.

Polycarp Mogeni (P)

Africa Health Research Institute, Durban, Kwazulu-Natal, South Africa.
School of Nursing and Public Health, University of KwaZulu-Natal, Durban, Kwazulu-Natal, South Africa.

Diego F Cuadros (DF)

Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, 45221, USA. diego.cuadros@uc.edu.
Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, USA. diego.cuadros@uc.edu.

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