Economic and social science questionnaire dataset, Mambwe District, Zambia (2013)

This dataset contains the results of 211 household surveys conducted in Mambwe District, Zambia, as part of a wider study looking at human and animal trypanosomiasis and changing settlement patterns in the area. The interviews were conducted from June 2013 to August 2013. The objective of the survey was to set the health of people and their animals in the context of overall household wellbeing, assets and access to resources. The topics covered included household demographics, human and animal health, access to and use of medical and veterinary services, livestock and dog demographics, livestock production, human and animal contacts with wildlife, crop and especially cotton production, migration, access to water and fuel use, household assets and poverty, resilience and values. The dataset has been anonymised by removing names of respondents, Global Positioning Satellite (GPS) location of their homes and names of interviewers. Household numbers were retained. Written consent was obtained prior to commencing all interviews. This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC), and these data contributed to the research carried out by the consortium. The research was funded by NERC with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Semi-structured interviews were conducted in 211 households of Mambwe District of Eastern Zambia alongside blood sampling for disease in people and animals. The work was preceded by a census, which provided the sample frame from which the study households were randomly selected, so as to provide the minimum sample size of animal-owning households necessary for estimating trypanosomiasis prevalence, plus 5 percent extra households with no animals except for poultry. Written consent was obtained prior to commencing all interviews and blood sampling. The full questionnaire was uploaded/collected onto tablets, using droidSURVEY software, allowing multiple choice, grid and open questions or question options. Data collection was performed offline, but daily updates were uploaded using the internet. The data were then stored securely on the server before being downloaded into Microsoft Excel® format and anonymised. Data were collated in a Microsoft Excel spreadsheet and exported as a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).

Schaten, K.; Shaw, A.P.M.; Machila, N.; Simuunza, M.; Chirwa, E.; Anderson, N.E.; MacLeod, E.; Welburn, S.C. (2017). Economic and social science questionnaire dataset, Mambwe District, Zambia (2013). NERC Environmental Information Data Centre. https://doi.org/10.5285/b1647138-49f5-4777-a39d-e7359bf7b98d