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. 2012:2012:363520.
doi: 10.1155/2012/363520. Epub 2012 Apr 2.

Using a geographical-information-system-based decision support to enhance malaria vector control in zambia

Affiliations

Using a geographical-information-system-based decision support to enhance malaria vector control in zambia

Emmanuel Chanda et al. J Trop Med. 2012.

Abstract

Geographic information systems (GISs) with emerging technologies are being harnessed for studying spatial patterns in vector-borne diseases to reduce transmission. To implement effective vector control, increased knowledge on interactions of epidemiological and entomological malaria transmission determinants in the assessment of impact of interventions is critical. This requires availability of relevant spatial and attribute data to support malaria surveillance, monitoring, and evaluation. Monitoring the impact of vector control through a GIS-based decision support (DSS) has revealed spatial relative change in prevalence of infection and vector susceptibility to insecticides and has enabled measurement of spatial heterogeneity of trend or impact. The revealed trends and interrelationships have allowed the identification of areas with reduced parasitaemia and increased insecticide resistance thus demonstrating the impact of resistance on vector control. The GIS-based DSS provides opportunity for rational policy formulation and cost-effective utilization of limited resources for enhanced malaria vector control.

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Figures

Figure 1
Figure 1
Map of Zambia showing the location and spatial distribution of GIS-based decision support system monitoring sentinel sites.
Figure 2
Figure 2
P. falciparum malaria parasite prevalence in children 1 to <15 years in monitoring sentinel sites from 2008 to 2010 surveys.
Figure 3
Figure 3
Prevalence of infection with P. falciparum in children 1 to <15 years as observed during the annual parasitaemia surveys from 2008 to 2010 by district.
Figure 4
Figure 4
The spatial distribution of insecticide resistance in An. gambiae s.l. in 1999 compared to 2009/10 in Zambia.
Figure 5
Figure 5
The spatial distribution of insecticide resistance in An. funestus in 1999 compared to 2009/10 in Zambia.
Figure 6
Figure 6
Prevalence of infection in children 1 to <15 years of age in Zambia by reported vector control intervention (2008, 2009, and 2010 combined). IRS: Indoor Residual Spraying; ITN: Insecticide Treated Net.

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