Dynamic drivers of disease in Africa (DDDAC)

This project investigated whether disease regulation as an ecosystem service is affected by changes in biodiversity, climate and land use, with differential impacts on human health and well-being.
Four diseases were studied, each affected in different ways by ecosystem change, different dependencies on wildlife and livestock hosts, with diverse impacts on people, their health and their livelihoods. The cases were Lassa fever in Sierra Leone, henipaviruses in Ghana, Rift Valley Fever in Kenya and trypanosomiasis in Zambia and Zimbabwe. Data are presented from the work carried out in Kenya and Zambia.
The Dynamic Drivers of Disease in Africa Consortium is funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme. The ESPA programme is funded by the Department for International Development (DFID), the Economic and Social Research Council (ESRC) and the Natural Environment Research Council.
The research was funded by NERC project nos NE/J000701/1, NE/J001570/1
This data collection contains these resources
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Economic and social science questionnaire dataset, Mambwe District, Zambia (2013)
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Domestic animal health data from Mambwe District, Zambia (2013)
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Policy and community interviews on trypanosomiasis in Hurungwe District, Zimbabwe (2012-2013)
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Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013)
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Tsetse trypanosome and endosymbiont data from Hurungwe District, Zimbabwe (2016)
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Tsetse (Glossina morsitans morsitans) count data from Eastern Province, Zambia, (2013)
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Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013)
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Rift Valley fever virus seroprevalence data from people involved in a cross-sectional survey in Tana River and Garissa counties, Kenya (December 2013 - February 2014)
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Seasonal changes in mosquito population densities in irrigated and non-irrigated areas in Bura, Tana River County, Kenya (2013-2014)
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Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013)
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Economic and social data on the impact of human African trypanosomiasis in Eastern Zambia (2004-2014)
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Policy interviews on trypanosomiasis in Zambia, 2013