Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024)

Dixon, J and Mundoga, FT. 2024. Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024). [Online]. UK Data Service. Available from: https://doi.org/10.5255/UKDA-SN-857310

Dixon, J and Mundoga, FT. Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024) [Internet]. UK Data Service; 2024. Available from: https://doi.org/10.5255/UKDA-SN-857310

Dixon, J and Mundoga, FT (2024). Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024). [Data Collection]. UK Data Service. https://doi.org/10.5255/UKDA-SN-857310

Description

Data capture method Interview, Questionnaire: Fixed form - Paper
Data Collection Period
FromTo
September 2022December 2023
Date (Date published in a 3rd party system) 30 July 2024
Language(s) of written materials English
Data Creators Dixon, J and Mundoga, FT
Associated roles Dhodho, E (Related Person), Karen, W (Related Person), Chandler, CI (Related Person), Ferrand, RA (Related Person) and Ndhlovu, CE (Related Person)
LSHTM Faculty/Department Faculty of Public Health and Policy > Dept of Global Health and Development
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom, Biomedical Research and Training Institute, Harare, Zimbabwe
Funders
ProjectFunderGrant NumberFunder URI
Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health CollaborationWellcome Trust222177http://dx.doi.org/10.13039/100010269
Date Deposited 23 Sep 2024 09:05
Last Modified 23 Sep 2024 09:05
Publisher UK Data Service

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