b1647138-49f5-4777-a39d-e7359bf7b98d English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:18:47 UK GEMINI 2.3 WGS 84 Economic and social science questionnaire dataset, Mambwe District, Zambia (2013) 2017-09-21 publication 2017-03-31 creation https://catalogue.ceh.ac.uk/id/b1647138-49f5-4777-a39d-e7359bf7b98d 10.5285/b1647138-49f5-4777-a39d-e7359bf7b98d doi: 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 10.5285/b1647138-49f5-4777-a39d-e7359bf7b98d 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). Full details about this dataset can be found at https://doi.org/10.5285/b1647138-49f5-4777-a39d-e7359bf7b98d Anderson, N. The University of Edinburgh Neil.anderson@ed.ac.uk pointOfContact Schaten, K. The University of Edinburgh k.m.schaten@sms.ed.ac.uk https://orcid.org/0000-0002-9286-6658 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Shaw, A.P.M. The University of Edinburgh alex@apconsultants.co.uk author Machila, N. University of Zambia noreenmachila@yahoo.co.uk https://orcid.org/0000-0002-1149-6166 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Simuunza, M. University of Zambia martin.simuunza@unza.zm https://orcid.org/0000-0001-6621-7470 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chirwa, E. Lusaka Apex Medical University echirwa07@gmail.com https://orcid.org/0000-0002-5336-0312 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Anderson, N.E. The University of Edinburgh Neil.anderson@ed.ac.uk https://orcid.org/0000-0001-7192-7717 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author MacLeod, E. The University of Edinburgh ewan.macleod@ed.ac.uk https://orcid.org/0000-0002-5517-0619 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Welburn, S.C. The University of Edinburgh Sue.Welburn@ed.ac.uk https://orcid.org/0000-0002-9903-7086 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian notPlanned social science animal health livestock human migration livestock cotton domestic fuel poverty GEMET - Concepts, version 4.1.3 2019-01-28 creation Zambia Mambwe District GeoNames 2006-01-01 creation Luangwa valley Dynamic Drivers of Disease in Africa Consortium DDDAC Ecosystem Services for Poverty Alleviation Programme ESPA Veterinary science Household interview Zoonotic disease Well-being Trypanosomiasis otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © University of Edinburgh otherRestrictions © University of Zambia otherRestrictions © Lusaka Apex Medical University otherRestrictions If you reuse this data, you should cite: 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 textTable English utf8 health society economy farming 2013-06-01 2013-08-31 31.826 32.094 -13.828 -13.2 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/b1647138-49f5-4777-a39d-e7359bf7b98d Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/b1647138-49f5-4777-a39d-e7359bf7b98d.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).