Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia | Zendy

Emmanuel Chanda | Zendy; Victor Mukonka | Zendy; David S Mthembu | Zendy; Mulakwa Kamuliwo | Zendy; Sarel Coetzer | Zendy; Cecilia J. Shido | Zendy

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Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia

Author(s) -

Emmanuel Chanda,

Victor Mukonka,

David S Mthembu,

Mulakwa Kamuliwo,

Sarel Coetzer,

Cecilia J. Shido

Publication year - 2012

Publication title -

journal of tropical medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.747

H-Index - 30

eISSN - 1687-9694

pISSN - 1687-9686

DOI - 10.1155/2012/363520

Subject(s) - vector (molecular biology) , malaria , vector control , geographic information system , decision support system , spatial analysis , identification (biology) , transmission (telecommunications) , environmental health , data mining , risk analysis (engineering) , geography , computer science , environmental resource management , cartography , medicine , biology , ecology , engineering , environmental science , remote sensing , immunology , telecommunications , biochemistry , voltage , gene , induction motor , electrical engineering , recombinant dna

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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