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

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 cit...

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Bibliografiske detaljer

Principais autores:	Prestige Tatenda Makanga, Gloria Maimela, Matthew Chersich, Akbar K Waljee, Stanley Luchters, Kristie L Ebi, Brama Kone, Guéladio Cissé, Kimberly A McAllister, Maliha Ilias, Sibusisiwe Makhanya, Craig Parker, Pierre Kloppers, Piotr Wolski, Abdoulaye Tall, Adja Ferdinand Vanga, Christopher Jack, Yao Etienne Kouakou, Bonnie Joubert, Etienne Vos, Craig Mahlasi, Iba Dieudonné Dely, James Mashiyane, Lisa van Aardenne, Madina Doumbia, Nicholas Brink, Tamara Govindasamy, Toby Kurien
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMJ Publishing Group 2024-06-01
Serier:	BMJ Open
Online adgang:	https://bmjopen.bmj.com/content/14/6/e077529.full
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