Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol

IntroductionAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these citi...

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Published inBMJ open Vol. 14; no. 6; p. e077529
Main Authors Jack, Christopher, Parker, Craig, Kouakou, Yao Etienne, Joubert, Bonnie, McAllister, Kimberly A, Ilias, Maliha, Maimela, Gloria, Chersich, Matthew, Makhanya, Sibusisiwe, Luchters, Stanley, Makanga, Prestige Tatenda, Vos, Etienne, Ebi, Kristie L, Koné, Brama, Waljee, Akbar K, Cissé, Guéladio, Tall, Abdoulaye, Vanga, Adja Ferdinand, Mahlasi, Craig, Dely, Iba Dieudonné, Mashiyane, James, Aardenne, Lisa van, Doumbia, Madina, Brink, Nicholas, Kloppers, Pierre, Wolski, Piotr, Govindasamy, Tamara, Kurien, Toby
Format Journal Article
LanguageEnglish
Published London British Medical Journal Publishing Group 18.06.2024
BMJ Publishing Group LTD
BMJ Publishing Group
SeriesProtocol
Subjects
Cities
Climate adaptation
Climate change
Clinical trials
Collaboration
Data management
Data science
Datasets
EPIDEMIOLOGIC STUDIES
EPIDEMIOLOGY
Global Health
Health risk assessment
Health risks
Health services
Heat
Heat waves
Innovations
Land use
Machine learning
Public health
Research ethics
Socioeconomic factors
Socioeconomics
Spatial data
STATISTICS & RESEARCH METHODS
Trends
Urban areas
Urban sprawl
Urbanization
South Africa
Ivory Coast
United States > US
Africa
Online AccessGet full text

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Abstract IntroductionAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat–health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.Methods and analysisThe research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat–health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.Ethics and disseminationThe study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.
AbstractList African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat-health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.INTRODUCTIONAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat-health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.The research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat-health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.METHODS AND ANALYSISThe research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat-health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.The study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.ETHICS AND DISSEMINATIONThe study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.
Introduction African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat–health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.Methods and analysis The research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat–health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.Ethics and dissemination The study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.
IntroductionAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat–health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards.Methods and analysisThe research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat–health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques.Ethics and disseminationThe study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.
Author Ilias, Maliha
Wolski, Piotr
Vanga, Adja Ferdinand
Koné, Brama
Tall, Abdoulaye
Mashiyane, James
Dely, Iba Dieudonné
Kouakou, Yao Etienne
McAllister, Kimberly A
Kurien, Toby
Doumbia, Madina
Waljee, Akbar K
Makhanya, Sibusisiwe
Vos, Etienne
Jack, Christopher
Luchters, Stanley
Makanga, Prestige Tatenda
Kloppers, Pierre
Parker, Craig
Maimela, Gloria
Joubert, Bonnie
Brink, Nicholas
Govindasamy, Tamara
Ebi, Kristie L
Chersich, Matthew
Cissé, Guéladio
Mahlasi, Craig
Aardenne, Lisa van
AuthorAffiliation 2 Wits Planetary Health Research, Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa
6 National Heart Lung and Blood Institute , Bethesda , Maryland , USA
9 IBM Research—Africa , Johannesburg , South Africa
8 Public Health and Primary Care, School of Medicine, Trinity College Dublin , Dublin , UK
3 University Peleforo Gon Coulibaly , Korhogo , Côte d'Ivoire
12 Surveying and Geomatics Department , Midlands State University , Gweru , Zimbabwe
7 Climate and Health Directorate , Wits Reproductive Health and HIV Institute , Hillbrow , Gauteng , South Africa
1 Climate System Analysis Group , University of Cape Town , Rondebosch , Western Cape , South Africa
14 Gastroenterology , University of Michigan , Ann Arbor , Michigan , USA
15 Ann Arbor VA Medical Center , VA Center for Clinical Management Research , Ann Arbor , Michigan , USA
5 National Institute of Environmental Health Sciences , Durham , North Carolina , USA
10 Centre for Sexual Health and HIV & AIDS Res
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CJ and CP are joint first authors.
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OpenAccessLink https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11191804/
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Snippet IntroductionAfrican cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded...
African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by...
Introduction African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded...
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SubjectTerms Cities
Climate adaptation
Climate change
Clinical trials
Collaboration
Data management
Data science
Datasets
EPIDEMIOLOGIC STUDIES
EPIDEMIOLOGY
Global Health
Health risk assessment
Health risks
Health services
Heat
Heat waves
Innovations
Land use
Machine learning
Public health
Research ethics
Socioeconomic factors
Socioeconomics
Spatial data
STATISTICS & RESEARCH METHODS
Trends
Urban areas
Urban sprawl
Urbanization
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Title Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol
URI https://bmjopen.bmj.com/content/14/6/e077529.full
https://www.proquest.com/docview/3070765320
https://www.proquest.com/docview/3070798175
https://pubmed.ncbi.nlm.nih.gov/PMC11191804
https://doaj.org/article/1da20cf7cbb44cf1a8a756a826e3427d
Volume 14
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