Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health
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 increa...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rebecca M. Garland [verfasserIn] Mamopeli Matooane [verfasserIn] Francois A. Engelbrecht [verfasserIn] Mary-Jane M. Bopape [verfasserIn] Willem A. Landman [verfasserIn] Mogesh Naidoo [verfasserIn] Jacobus van der Merwe [verfasserIn] Caradee Y. Wright [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 12(2015), 10, Seite 12577-12604 |
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| Übergeordnetes Werk: |
volume:12 ; year:2015 ; number:10 ; pages:12577-12604 |
| Links: |
|---|
| DOI / URN: |
10.3390/ijerph121012577 |
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| Katalog-ID: |
DOAJ001646648 |
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| 520 | |a 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. | ||
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10.3390/ijerph121012577 doi (DE-627)DOAJ001646648 (DE-599)DOAJe6045ba645d5488cba5c0ad047fafd9f DE-627 ger DE-627 rakwb eng Rebecca M. Garland verfasserin aut Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. climate change human health Africa regional climate modelling climate services Medicine R Mamopeli Matooane verfasserin aut Francois A. Engelbrecht verfasserin aut Mary-Jane M. Bopape verfasserin aut Willem A. Landman verfasserin aut Mogesh Naidoo verfasserin aut Jacobus van der Merwe verfasserin aut Caradee Y. Wright verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 12(2015), 10, Seite 12577-12604 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:12 year:2015 number:10 pages:12577-12604 https://doi.org/10.3390/ijerph121012577 kostenfrei https://doaj.org/article/e6045ba645d5488cba5c0ad047fafd9f kostenfrei http://www.mdpi.com/1660-4601/12/10/12577 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2015 10 12577-12604 |
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10.3390/ijerph121012577 doi (DE-627)DOAJ001646648 (DE-599)DOAJe6045ba645d5488cba5c0ad047fafd9f DE-627 ger DE-627 rakwb eng Rebecca M. Garland verfasserin aut Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. climate change human health Africa regional climate modelling climate services Medicine R Mamopeli Matooane verfasserin aut Francois A. Engelbrecht verfasserin aut Mary-Jane M. Bopape verfasserin aut Willem A. Landman verfasserin aut Mogesh Naidoo verfasserin aut Jacobus van der Merwe verfasserin aut Caradee Y. Wright verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 12(2015), 10, Seite 12577-12604 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:12 year:2015 number:10 pages:12577-12604 https://doi.org/10.3390/ijerph121012577 kostenfrei https://doaj.org/article/e6045ba645d5488cba5c0ad047fafd9f kostenfrei http://www.mdpi.com/1660-4601/12/10/12577 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2015 10 12577-12604 |
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10.3390/ijerph121012577 doi (DE-627)DOAJ001646648 (DE-599)DOAJe6045ba645d5488cba5c0ad047fafd9f DE-627 ger DE-627 rakwb eng Rebecca M. Garland verfasserin aut Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. climate change human health Africa regional climate modelling climate services Medicine R Mamopeli Matooane verfasserin aut Francois A. Engelbrecht verfasserin aut Mary-Jane M. Bopape verfasserin aut Willem A. Landman verfasserin aut Mogesh Naidoo verfasserin aut Jacobus van der Merwe verfasserin aut Caradee Y. Wright verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 12(2015), 10, Seite 12577-12604 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:12 year:2015 number:10 pages:12577-12604 https://doi.org/10.3390/ijerph121012577 kostenfrei https://doaj.org/article/e6045ba645d5488cba5c0ad047fafd9f kostenfrei http://www.mdpi.com/1660-4601/12/10/12577 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2015 10 12577-12604 |
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10.3390/ijerph121012577 doi (DE-627)DOAJ001646648 (DE-599)DOAJe6045ba645d5488cba5c0ad047fafd9f DE-627 ger DE-627 rakwb eng Rebecca M. Garland verfasserin aut Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. climate change human health Africa regional climate modelling climate services Medicine R Mamopeli Matooane verfasserin aut Francois A. Engelbrecht verfasserin aut Mary-Jane M. Bopape verfasserin aut Willem A. Landman verfasserin aut Mogesh Naidoo verfasserin aut Jacobus van der Merwe verfasserin aut Caradee Y. Wright verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 12(2015), 10, Seite 12577-12604 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:12 year:2015 number:10 pages:12577-12604 https://doi.org/10.3390/ijerph121012577 kostenfrei https://doaj.org/article/e6045ba645d5488cba5c0ad047fafd9f kostenfrei http://www.mdpi.com/1660-4601/12/10/12577 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2015 10 12577-12604 |
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10.3390/ijerph121012577 doi (DE-627)DOAJ001646648 (DE-599)DOAJe6045ba645d5488cba5c0ad047fafd9f DE-627 ger DE-627 rakwb eng Rebecca M. Garland verfasserin aut Regional Projections of Extreme Apparent Temperature Days in Africa and the Related Potential Risk to Human Health 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. climate change human health Africa regional climate modelling climate services Medicine R Mamopeli Matooane verfasserin aut Francois A. Engelbrecht verfasserin aut Mary-Jane M. Bopape verfasserin aut Willem A. Landman verfasserin aut Mogesh Naidoo verfasserin aut Jacobus van der Merwe verfasserin aut Caradee Y. Wright verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 12(2015), 10, Seite 12577-12604 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:12 year:2015 number:10 pages:12577-12604 https://doi.org/10.3390/ijerph121012577 kostenfrei https://doaj.org/article/e6045ba645d5488cba5c0ad047fafd9f kostenfrei http://www.mdpi.com/1660-4601/12/10/12577 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2015 10 12577-12604 |
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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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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. |
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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. |
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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. |
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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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