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Data for a city-level health impact assessment of urban transport in Mauritius

Participatory quantitative Health Impact Assessments (HIAs) in developing countries are rare partly due to data scarcity. This paper reports on primary data collected in the city of Port Louis to complete a HIA of urban transport planning in Mauritius. We conducted a full-chain participatory HIA to...

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Detalles Bibliográficos
Autores principales: Thondoo, M., Rojas-Rueda, D., de Vries, D., Naraynen, N., Nieuwenhuijsen, M.J., Gupta, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770510/
https://www.ncbi.nlm.nih.gov/pubmed/33385026
http://dx.doi.org/10.1016/j.dib.2020.106658
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author Thondoo, M.
Rojas-Rueda, D.
de Vries, D.
Naraynen, N.
Nieuwenhuijsen, M.J.
Gupta, J.
author_facet Thondoo, M.
Rojas-Rueda, D.
de Vries, D.
Naraynen, N.
Nieuwenhuijsen, M.J.
Gupta, J.
author_sort Thondoo, M.
collection PubMed
description Participatory quantitative Health Impact Assessments (HIAs) in developing countries are rare partly due to data scarcity. This paper reports on primary data collected in the city of Port Louis to complete a HIA of urban transport planning in Mauritius. We conducted a full-chain participatory HIA to assess health impacts on the basis of a transport mode shift in Port Louis, Mauritius [1]. By applying mixed-methods, we estimated averted deaths per year and economic outcomes by assessing the health determinants of air pollution, traffic deaths and physical activity. The participatory quantitative HIA included [1] baseline data collection [2] co-validation of transport policy scenarios with stakeholders and [3] quantitative modelling of health impacts. We used the risk assessment method for HIA appraisal. The data can be reused for epidemiological analysis and different types of impact assessments.
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spelling pubmed-77705102020-12-30 Data for a city-level health impact assessment of urban transport in Mauritius Thondoo, M. Rojas-Rueda, D. de Vries, D. Naraynen, N. Nieuwenhuijsen, M.J. Gupta, J. Data Brief Data Article Participatory quantitative Health Impact Assessments (HIAs) in developing countries are rare partly due to data scarcity. This paper reports on primary data collected in the city of Port Louis to complete a HIA of urban transport planning in Mauritius. We conducted a full-chain participatory HIA to assess health impacts on the basis of a transport mode shift in Port Louis, Mauritius [1]. By applying mixed-methods, we estimated averted deaths per year and economic outcomes by assessing the health determinants of air pollution, traffic deaths and physical activity. The participatory quantitative HIA included [1] baseline data collection [2] co-validation of transport policy scenarios with stakeholders and [3] quantitative modelling of health impacts. We used the risk assessment method for HIA appraisal. The data can be reused for epidemiological analysis and different types of impact assessments. Elsevier 2020-12-15 /pmc/articles/PMC7770510/ /pubmed/33385026 http://dx.doi.org/10.1016/j.dib.2020.106658 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Thondoo, M.
Rojas-Rueda, D.
de Vries, D.
Naraynen, N.
Nieuwenhuijsen, M.J.
Gupta, J.
Data for a city-level health impact assessment of urban transport in Mauritius
title Data for a city-level health impact assessment of urban transport in Mauritius
title_full Data for a city-level health impact assessment of urban transport in Mauritius
title_fullStr Data for a city-level health impact assessment of urban transport in Mauritius
title_full_unstemmed Data for a city-level health impact assessment of urban transport in Mauritius
title_short Data for a city-level health impact assessment of urban transport in Mauritius
title_sort data for a city-level health impact assessment of urban transport in mauritius
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770510/
https://www.ncbi.nlm.nih.gov/pubmed/33385026
http://dx.doi.org/10.1016/j.dib.2020.106658
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