Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia
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 det...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Tropical Medicine |
| Online Access: | http://dx.doi.org/10.1155/2012/363520 |
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| _version_ | 1832559802037829632 |
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| author | Emmanuel Chanda Victor Munyongwe Mukonka David Mthembu Mulakwa Kamuliwo Sarel Coetzer Cecilia Jill Shinondo |
| author_facet | Emmanuel Chanda Victor Munyongwe Mukonka David Mthembu Mulakwa Kamuliwo Sarel Coetzer Cecilia Jill Shinondo |
| author_sort | Emmanuel Chanda |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e943b8cd8af4481e843fb114c959e9c7 |
| institution | Kabale University |
| issn | 1687-9686 1687-9694 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Tropical Medicine |
| spelling | doaj-art-e943b8cd8af4481e843fb114c959e9c72025-02-03T01:29:12ZengWileyJournal of Tropical Medicine1687-96861687-96942012-01-01201210.1155/2012/363520363520Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in ZambiaEmmanuel Chanda0Victor Munyongwe Mukonka1David Mthembu2Mulakwa Kamuliwo3Sarel Coetzer4Cecilia Jill Shinondo5National Malaria Control Centre, Ministry of Health, P.O. Box 32509, Lusaka, ZambiaMinistry of Health, Headquarters, Ndeke House., P.O. Box 30205, Lusaka, ZambiaMalaria Research Programme, Medical Research Council, Ridge Road, Durban, South AfricaNational Malaria Control Centre, Ministry of Health, P.O. Box 32509, Lusaka, ZambiaMalaria Research Programme, Medical Research Council, Ridge Road, Durban, South AfricaSchool of Medicine, University of Zambia, P.O. Box 50110, Lusaka, ZambiaGeographic 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.http://dx.doi.org/10.1155/2012/363520 |
| spellingShingle | Emmanuel Chanda Victor Munyongwe Mukonka David Mthembu Mulakwa Kamuliwo Sarel Coetzer Cecilia Jill Shinondo Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia Journal of Tropical Medicine |
| title | Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia |
| title_full | Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia |
| title_fullStr | Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia |
| title_full_unstemmed | Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia |
| title_short | Using a Geographical-Information-System-Based Decision Support to Enhance Malaria Vector Control in Zambia |
| title_sort | using a geographical information system based decision support to enhance malaria vector control in zambia |
| url | http://dx.doi.org/10.1155/2012/363520 |
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