LSTM Home > LSTM Research > LSTM Online Archive

Finding malaria hot-spots in northern Angola: the role of individual, household and environmental factors within a meso-endemic area

Magalhães, Ricardo J, Langa, Antonio, Sousa-Figueiredo, J.C., Clements, Archie CA and Nery, Susana (2012) 'Finding malaria hot-spots in northern Angola: the role of individual, household and environmental factors within a meso-endemic area'. Malaria Journal, Vol 11, e385.

[img]
Preview
Text
Malaria_J_11_385.pdf - Published Version
Available under License Creative Commons Attribution.

Download (3MB)

Abstract

Background

Identifying and targeting hyper-endemic communities within meso-endemic areas constitutes an important challenge in malaria control in endemic countries such like Angola. Recent national and global predictive maps of malaria allow the identification and quantification of the population at risk of malaria infection in Angola, but their small-scale accuracy is surrounded by large uncertainties. To observe the need to develop higher resolution malaria endemicity maps a predictive risk map of malaria infection for the municipality of Dande (a malaria endemic area in Northern Angola) was developed and compared to existing national and global maps, the role of individual, household and environmental risk factors for malaria endemicity was quantified and the spatial variation in the number of children at-risk of malaria was estimated.

Methods

Bayesian geostatistical models were developed to predict small-scale spatial variation using data collected during a parasitological survey conducted from May to August 2010. Maps of the posterior distributions of predicted prevalence were constructed in a geographical information system.

Results

Malaria infection was significantly associated with maternal malaria awareness, households with canvas roofing, distance to health care centre and distance to rivers. The predictive map showed remarkable spatial heterogeneity in malaria risk across the Dande municipality in contrast to previous national and global spatial risk models; large high-risk areas of malaria infection (prevalence >50%) were found in the northern and most eastern areas of the municipality, in line with the observed prevalence.

Conclusions

There is remarkable spatial heterogeneity of malaria burden which previous national and global spatial modelling studies failed to identify suggesting that the identification of malaria hot-spots within seemingly mesoendemic areas may require the generation of high resolution malaria maps. Individual, household and hydrological factors play an important role in the small-scale geographical variation of malaria risk in northern Angola. The results presented in this study can be used by provincial malaria control programme managers to help target the delivery of malaria control resources to priority areas in the Dande municipality.

Item Type: Article
Additional Information: The electronic version of this article is the complete one and can be found online at: http://www.malariajournal.com/content/11/1/385
Subjects: WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases
WA Public Health > WA 30 Socioeconomic factors in public health (General)
WC Communicable Diseases > Tropical and Parasitic Diseases > WC 750 Malaria
WC Communicable Diseases > Tropical and Parasitic Diseases > WC 755 Epidemiology
Faculty: Department: Groups (2002 - 2012) > Disease Control Strategy Group
Digital Object Identifer (DOI): https://doi.org/10.1186/1475-2875-11-385
Depositing User: Lynn Roberts-Maloney
Date Deposited: 22 Jan 2015 17:24
Last Modified: 06 Feb 2018 13:08
URI: https://archive.lstmed.ac.uk/id/eprint/4785

Statistics

View details

Actions (login required)

Edit Item Edit Item