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  • The data were collected during household surveys designed to investigate the strategies adopted by households to cope with environmental shocks linked to the 2015-2016 El Nino event in Tanzania, and the role played by Wildlife Management Areas (WMAs) - community-based natural resource management - in enabling or constraining these responses. The surveys referred to the period from 2014 to 2016 and were carried out with both heads of households and the wives of heads of household. Those carried out with household heads included sections on: basic household demographics; overall trends in wellbeing; experience of severe livelihood shocks; ownership and use of land and livestock; collection of bushmeat; changes in access to natural resources; composition of environmental income and livelihood portfolios; strategies for coping with environmental shocks; direct income and benefits from WMAs where they are present; conflict; and human casualties linked to wildlife. Those carried out with wives included sections on: basic household demographics; overall trends in wellbeing; use of produce from livestock, farms and gardens; income generating activities and remittances; food security; strategies for coping with environmental shocks; participation in WMAs where they are present; access to natural resources; conflict and safety; receipts of external aid and scholarships; and ability to perform ceremonies. https://reshare.ukdataservice.ac.uk/853955/

  • 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