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      Zoonoses in the margins: environmental displacement and health outcomes in the Indus Delta

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          Abstract

          Background

          It remains unclear how human and animal displacement impacts zoonotic disease risk with little contextualized primary data available. This study investigates zoonotic disease dynamics in populations regularly displaced due to slow onset disasters and annual monsoons in the Indus Delta in Sindh province in southeast Pakistan.

          Methods

          Using a case study methodology, semi-structured key informant interviews and focus group discussions with 35 participants, as well as observational studies were conducted in seven communities in Thatta district.

          Results

          Key factors affecting zoonotic disease dynamics in environmental displacement in Thatta identified in the study include disasters and loss of forage, a lack of veterinary and healthcare access, and socio-economic status. Animal and human health are an important consideration in displacement disrupting communities and livelihoods, affecting safety, health, and food security. Displacement results in a poverty spiral whereby the displaced find themselves at continuous peril from poverty and disaster, with zoonotic disease dynamics shifting based on environmental changes, and an expectation of future movement and loss.

          Conclusion

          The precarious conditions generated through the disruption of communities and livelihoods makes environmentally displaced populations vulnerable to zoonotic disease. To prevent further displacement and disease, broader political economy issues need to be addressed, and comprehensive assistance provided to support sustainable livelihoods.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12939-022-01823-0.

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          Most cited references43

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          Are We There Yet? Data Saturation in Qualitative Research

          Failure to reach data saturation has an impact on the quality of the research conducted and hampers content validity. The aim of a study should include what determines when data saturation is achieved, for a small study will reach saturation more rapidly than a larger study. Data saturation is reached when there is enough information to replicate the study when the ability to obtain additional new information has been attained, and when further coding is no longer feasible. The following article critiques two qualitative studies for data saturation: Wolcott (2004) and Landau and Drori (2008). Failure to reach data saturation has a negative impact on the validity on one’s research. The intended audience is novice student researchers.
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            Theories for social epidemiology in the 21st century: an ecosocial perspective.

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              Thematic networks: an analytic tool for qualitative research

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                Author and article information

                Contributors
                db746@cam.ac.uk
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                30 December 2022
                30 December 2022
                2022
                : 21
                : 189
                Affiliations
                GRID grid.5335.0, ISNI 0000000121885934, Disease Dynamics Unit, Department of Veterinary Medicine, , University of Cambridge, ; Madingley Road, CB3 0ES Cambridge, UK
                Article
                1823
                10.1186/s12939-022-01823-0
                9800233
                36581869
                d209d8e6-0b55-4a3a-b008-253d92f2de9f
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 January 2022
                : 27 December 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1144
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                disaster displacement,climate change,zoonotic disease,animal health,determinants of health

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