The use of a complex thermohygrometric index in predicting adverse health effects in Athens
Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tselepidaki, I. G. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1995 |
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| Anmerkung: |
© Springer-Verlag 1995 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of biometeorology - Springer-Verlag, 1961, 38(1995), 4 vom: Dez., Seite 194-198 |
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| Übergeordnetes Werk: |
volume:38 ; year:1995 ; number:4 ; month:12 ; pages:194-198 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF01245388 |
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| Katalog-ID: |
OLC2106890729 |
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| 245 | 1 | 0 | |a The use of a complex thermohygrometric index in predicting adverse health effects in Athens |
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| 520 | |a Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. | ||
| 700 | 1 | |a Asimakopoulos, D. N. |4 aut | |
| 700 | 1 | |a Katsouyanni, K. |4 aut | |
| 700 | 1 | |a Moustris, C. |4 aut | |
| 700 | 1 | |a Touloumi, G. |4 aut | |
| 700 | 1 | |a Pantazopoulou, A. |4 aut | |
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10.1007/BF01245388 doi (DE-627)OLC2106890729 (DE-He213)BF01245388-p DE-627 ger DE-627 rakwb eng 570 550 VZ 570 VZ 12 ssgn BIODIV DE-30 fid Tselepidaki, I. G. verfasserin aut The use of a complex thermohygrometric index in predicting adverse health effects in Athens 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1995 Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. Asimakopoulos, D. N. aut Katsouyanni, K. aut Moustris, C. aut Touloumi, G. aut Pantazopoulou, A. aut Enthalten in International journal of biometeorology Springer-Verlag, 1961 38(1995), 4 vom: Dez., Seite 194-198 (DE-627)12985106X (DE-600)280324-0 (DE-576)015150259 0020-7128 nnns volume:38 year:1995 number:4 month:12 pages:194-198 https://doi.org/10.1007/BF01245388 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4082 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4307 AR 38 1995 4 12 194-198 |
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10.1007/BF01245388 doi (DE-627)OLC2106890729 (DE-He213)BF01245388-p DE-627 ger DE-627 rakwb eng 570 550 VZ 570 VZ 12 ssgn BIODIV DE-30 fid Tselepidaki, I. G. verfasserin aut The use of a complex thermohygrometric index in predicting adverse health effects in Athens 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1995 Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. Asimakopoulos, D. N. aut Katsouyanni, K. aut Moustris, C. aut Touloumi, G. aut Pantazopoulou, A. aut Enthalten in International journal of biometeorology Springer-Verlag, 1961 38(1995), 4 vom: Dez., Seite 194-198 (DE-627)12985106X (DE-600)280324-0 (DE-576)015150259 0020-7128 nnns volume:38 year:1995 number:4 month:12 pages:194-198 https://doi.org/10.1007/BF01245388 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4082 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4307 AR 38 1995 4 12 194-198 |
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10.1007/BF01245388 doi (DE-627)OLC2106890729 (DE-He213)BF01245388-p DE-627 ger DE-627 rakwb eng 570 550 VZ 570 VZ 12 ssgn BIODIV DE-30 fid Tselepidaki, I. G. verfasserin aut The use of a complex thermohygrometric index in predicting adverse health effects in Athens 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1995 Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. Asimakopoulos, D. N. aut Katsouyanni, K. aut Moustris, C. aut Touloumi, G. aut Pantazopoulou, A. aut Enthalten in International journal of biometeorology Springer-Verlag, 1961 38(1995), 4 vom: Dez., Seite 194-198 (DE-627)12985106X (DE-600)280324-0 (DE-576)015150259 0020-7128 nnns volume:38 year:1995 number:4 month:12 pages:194-198 https://doi.org/10.1007/BF01245388 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4082 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4307 AR 38 1995 4 12 194-198 |
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10.1007/BF01245388 doi (DE-627)OLC2106890729 (DE-He213)BF01245388-p DE-627 ger DE-627 rakwb eng 570 550 VZ 570 VZ 12 ssgn BIODIV DE-30 fid Tselepidaki, I. G. verfasserin aut The use of a complex thermohygrometric index in predicting adverse health effects in Athens 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1995 Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. Asimakopoulos, D. N. aut Katsouyanni, K. aut Moustris, C. aut Touloumi, G. aut Pantazopoulou, A. aut Enthalten in International journal of biometeorology Springer-Verlag, 1961 38(1995), 4 vom: Dez., Seite 194-198 (DE-627)12985106X (DE-600)280324-0 (DE-576)015150259 0020-7128 nnns volume:38 year:1995 number:4 month:12 pages:194-198 https://doi.org/10.1007/BF01245388 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4082 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4307 AR 38 1995 4 12 194-198 |
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10.1007/BF01245388 doi (DE-627)OLC2106890729 (DE-He213)BF01245388-p DE-627 ger DE-627 rakwb eng 570 550 VZ 570 VZ 12 ssgn BIODIV DE-30 fid Tselepidaki, I. G. verfasserin aut The use of a complex thermohygrometric index in predicting adverse health effects in Athens 1995 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 1995 Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. Asimakopoulos, D. N. aut Katsouyanni, K. aut Moustris, C. aut Touloumi, G. aut Pantazopoulou, A. aut Enthalten in International journal of biometeorology Springer-Verlag, 1961 38(1995), 4 vom: Dez., Seite 194-198 (DE-627)12985106X (DE-600)280324-0 (DE-576)015150259 0020-7128 nnns volume:38 year:1995 number:4 month:12 pages:194-198 https://doi.org/10.1007/BF01245388 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OPC-GGO GBV_ILN_11 GBV_ILN_40 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4082 GBV_ILN_4219 GBV_ILN_4277 GBV_ILN_4307 AR 38 1995 4 12 194-198 |
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The use of a complex thermohygrometric index in predicting adverse health effects in Athens |
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Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. © Springer-Verlag 1995 |
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Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. © Springer-Verlag 1995 |
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Abstract Mortality and morbidity indices are known to depend on changes in meteorological conditions. In Athens, severe adverse health effects following extreme heat conditions have been reported. The usefulness has been investigated of the complex thermohygrometric index (THI), a simple index based on maximum daily temperature and relative humidity, in predicting the health effects of specific meteorological conditions. The values of THI were found to correlate well with more complex bioclimatic indices; the THI could successfully replace temperature and humidity in predicting the daily number of deaths through multiple linear regression modelling. Thus the introduction of THI levels more than 28.5° C and between 26.5 and 28.5° C, through dummy variables, in a regression model explained 40% of the variability in the number of deaths during the months of July and August. During days with THI values less than 26.5° C the mean number of deaths was 33.5, compared to 41.8 when THI was between 26.5 and 28.5° C. The daily number of deaths increased to 108.2 when THI exceeded 28.5° C. From this study, the exact level of THI at which public health measures must be taken was not clear and more work is needed to identify it. However, given its simplicity, the use of THI for predicting meteorological conditions which are adverse to health would appear to be promising in preventive medicine and in health services planning. © Springer-Verlag 1995 |
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