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Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health

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dc.contributor.author Garland, Rebecca M
dc.contributor.author Matooane, M
dc.contributor.author Engelbrecht, FM
dc.contributor.author Bopape, Mary-Jane M
dc.contributor.author Landman, WA
dc.contributor.author Naidoo, M
dc.contributor.author Van der Merwe, J
dc.contributor.author Wright, CY
dc.date.accessioned 2016-09-07T10:56:50Z
dc.date.available 2016-09-07T10:56:50Z
dc.date.issued 2015-10
dc.identifier.citation Garland, R.M., Matooane, M., Engelbrecht, F.A., Bopape, M.M., Landman, W.A., Naidoo M., van der Merwe, J. and Wright, C.Y. 2015. Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health. In: International Journal of Environmental Research and Public Health, vol, 12(10), p.p. 12577-12604 en_US
dc.identifier.issn 1660-4601
dc.identifier.uri http://www.mdpi.com/1660-4601/12/10/12577/htm
dc.identifier.uri http://hdl.handle.net/10204/8761
dc.description Copyright: 2015 MDPI en_US
dc.description.abstract Regional climate modelling was used to produce high resolution climate projections for Africa, under a “business as usual scenario”, that were translated into potential health impacts utilizing a heat index that relates apparent temperature to health impacts. The continent is projected to see increases in the number of days when health may be adversely affected by increasing maximum apparent temperatures (AT) due to climate change. Additionally, climate projections indicate that the increases in AT results in a moving of days from the less severe to the more severe Symptom Bands. The analysis of the rate of increasing temperatures assisted in identifying areas, such as the East African highlands, where health may be at increasing risk due to both large increases in the absolute number of hot days, and due to the high rate of increase. The projections described here can be used by health stakeholders in Africa to assist in the development of appropriate public health interventions to mitigate the potential health impacts from climate change. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.relation.ispartofseries Workflow;16286
dc.subject Climate change en_US
dc.subject Climate services en_US
dc.subject Human health en_US
dc.subject Regional climate modelling en_US
dc.title Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health en_US
dc.type Article en_US
dc.identifier.apacitation Garland, R. M., Matooane, M., Engelbrecht, F., Bopape, M. M., Landman, W., Naidoo, M., ... Wright, C. (2015). Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health. http://hdl.handle.net/10204/8761 en_ZA
dc.identifier.chicagocitation Garland, Rebecca M, M Matooane, FM Engelbrecht, Mary-Jane M Bopape, WA Landman, M Naidoo, J Van der Merwe, and CY Wright "Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health." (2015) http://hdl.handle.net/10204/8761 en_ZA
dc.identifier.vancouvercitation Garland RM, Matooane M, Engelbrecht F, Bopape MM, Landman W, Naidoo M, et al. Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health. 2015; http://hdl.handle.net/10204/8761. en_ZA
dc.identifier.ris TY - Article AU - Garland, Rebecca M AU - Matooane, M AU - Engelbrecht, FM AU - Bopape, Mary-Jane M AU - Landman, WA AU - Naidoo, M AU - Van der Merwe, J AU - Wright, CY AB - Regional climate modelling was used to produce high resolution climate projections for Africa, under a “business as usual scenario”, that were translated into potential health impacts utilizing a heat index that relates apparent temperature to health impacts. The continent is projected to see increases in the number of days when health may be adversely affected by increasing maximum apparent temperatures (AT) due to climate change. Additionally, climate projections indicate that the increases in AT results in a moving of days from the less severe to the more severe Symptom Bands. The analysis of the rate of increasing temperatures assisted in identifying areas, such as the East African highlands, where health may be at increasing risk due to both large increases in the absolute number of hot days, and due to the high rate of increase. The projections described here can be used by health stakeholders in Africa to assist in the development of appropriate public health interventions to mitigate the potential health impacts from climate change. DA - 2015-10 DB - ResearchSpace DP - CSIR KW - Climate change KW - Climate services KW - Human health KW - Regional climate modelling LK - https://researchspace.csir.co.za PY - 2015 SM - 1660-4601 T1 - Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health TI - Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health UR - http://hdl.handle.net/10204/8761 ER - en_ZA


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