Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59829

Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study

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Title:Towards a Participatory Methodology for Community Data Generation to Analyse Urban Health Inequalities: A Multi-Country Case Study
Authors:Porto de Albuquerque, Joao
Yeboah, Godwin
Pitidis, Vangelis
Ulbrich, Philipp
Keywords:Innovations in Health Equity
Information Technology in Healthcare
collaborative mapping, OpenStreetMap, participatory mapping, urban inequality, slum
Date Issued:08 Jan 2019
Abstract:This paper presents results from the application of a methodological framework developed as part of an ongoing research project focused on understanding inequalities in the healthcare access of slum residents of cities in four countries: Bangladesh, Kenya, Pakistan and Nigeria. We employ a systematic approach to produce, curate and analyse volunteered geographic information (VGI) on urban communities, based on a combination of collaborative satellite-imagery digitization and participatory mapping, which relies upon geospatial open-source technologies and the collaborative mapping platform OpenStreetMap. Our approach builds upon and extends humanitarian mapping practices, in order to address the twofold challenge of achieving equitable community engagement whilst generating spatial data that adheres quality standards to produce rigorous and trusted evidence for policy and decision making. Findings show that our method generated promising results both in terms of community engagement and the production of high-quality data on communities to analyse urban inequalities.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59829
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.476
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Innovations in Health Equity


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