Assessing the effect of extreme weather on population health using consumer-grade wearables in rural Burkina Faso: observational panel study
Background: Extreme weather, including heat and extreme rainfall, is projected to increase owing to climate change, which can have adverse impacts on human health. In particular, rural populations in sub-Saharan Africa are at risk because of a high burden of climate-sensitive diseases and low adapti...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
8.11.2023
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| Edition: | First published March 04, 2023 |
| In: |
JMIR mhealth and uhealth
Year: 2023, Volume: 11, Pages: 1-20 |
| ISSN: | 2291-5222 |
| DOI: | 10.2196/46980 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.2196/46980 Verlag, kostenfrei, Volltext: https://mhealth.jmir.org/2023/1/e46980 
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| Author Notes: | Mara Koch, Ina Matzke, Sophie Huhn, Ali Sié, PhD, Valentin Boudo, MSc, Guillaume Compaoré, MSc, Martina Anna Maggioni, PhD, PD, Aditi Bunker, Dr sc hum, Till Bärnighausen, Prof Dr, Peter Dambach, PhD, PD, Sandra Barteit, Dr sc hum |
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| 520 | |a Background: Extreme weather, including heat and extreme rainfall, is projected to increase owing to climate change, which can have adverse impacts on human health. In particular, rural populations in sub-Saharan Africa are at risk because of a high burden of climate-sensitive diseases and low adaptive capacities. However, there is a lack of data on the regions that are anticipated to be most exposed to climate change. Improved public health surveillance is essential for better decision-making and health prioritization and to identify risk groups and suitable adaptation measures. Digital technologies such as consumer-grade wearable devices (wearables) may generate objective measurements to guide data-driven decision-making. | ||
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