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Open Access Methodology

Participatory mapping of target areas to enable operational larval source management to suppress malaria vector mosquitoes in Dar es Salaam, Tanzania

Stefan Dongus123*, Dickson Nyika345, Khadija Kannady4, Deo Mtasiwa4, Hassan Mshinda3, Ulrike Fillinger6, Axel W Drescher2, Marcel Tanner1, Marcia C Castro7 and Gerry F Killeen136

Author Affiliations

1 Department of Public Health and Epidemiology, Swiss Tropical Institute, Basel, Switzerland

2 Department of Physical Geography, University of Freiburg, Freiburg, Germany

3 Ifakara Health Research and Development Centre, Coordination Office, Dar es Salaam, United Republic of Tanzania

4 City Medical Office of Health, Dar es Salaam City Council, Dar es Salaam, United Republic of Tanzania

5 Ministry of Agriculture and Food Security, Dar es Salaam, United Republic of Tanzania

6 Institute of Ecosystems Science, School of Biological and Biomedical Sciences, Durham University, Durham, UK

7 Department of Population and International Health, Harvard School of Public Health, Boston, USA

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International Journal of Health Geographics 2007, 6:37  doi:10.1186/1476-072X-6-37

Published: 4 September 2007

Abstract

Background

Half of the population of Africa will soon live in towns and cities where it can be protected from malaria by controlling aquatic stages of mosquitoes. Rigorous but affordable and scaleable methods for mapping and managing mosquito habitats are required to enable effective larval control in urban Africa.

Methods

A simple community-based mapping procedure that requires no electronic devices in the field was developed to facilitate routine larval surveillance in Dar es Salaam, Tanzania. The mapping procedure included (1) community-based development of sketch maps and (2) verification of sketch maps through technical teams using laminated aerial photographs in the field which were later digitized and analysed using Geographical Information Systems (GIS).

Results

Three urban wards of Dar es Salaam were comprehensively mapped, covering an area of 16.8 km2. Over thirty percent of this area were not included in preliminary community-based sketch mapping, mostly because they were areas that do not appear on local government residential lists. The use of aerial photographs and basic GIS allowed rapid identification and inclusion of these key areas, as well as more equal distribution of the workload of malaria control field staff.

Conclusion

The procedure developed enables complete coverage of targeted areas with larval control through comprehensive spatial coverage with community-derived sketch maps. The procedure is practical, affordable, and requires minimal technical skills. This approach can be readily integrated into malaria vector control programmes, scaled up to towns and cities all over Tanzania and adapted to urban settings elsewhere in Africa.