Relationships between maximum temperature and heat-related illness across North Carolina, USA
Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illn...
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Veröffentlicht in: | International journal of biometeorology 2016-05, Vol.60 (5), p.663-675 |
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description | Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness. |
doi_str_mv | 10.1007/s00484-015-1060-4 |
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In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</description><identifier>ISSN: 0020-7128</identifier><identifier>EISSN: 1432-1254</identifier><identifier>DOI: 10.1007/s00484-015-1060-4</identifier><identifier>PMID: 26364040</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Aged ; Animal Physiology ; bioclimatology ; Biological and Medical Physics ; Biometeorology ; Biophysics ; Coastal plains ; demographic statistics ; Earth and Environmental Science ; Emergency Service, Hospital - statistics & numerical data ; Emergency Service, Hospital - trends ; Environment ; Environmental Health ; Extreme heat ; gender ; Heat ; heat stress ; Heat Stress Disorders - epidemiology ; Heat tolerance ; Heatstroke ; Hot Temperature - adverse effects ; Humans ; Illnesses ; Meteorology ; Middle Aged ; morbidity ; North Carolina - epidemiology ; Original Paper ; people ; Plant Physiology ; Rural Population - statistics & numerical data ; Temperature ; Urban Population - statistics & numerical data ; Young Adult</subject><ispartof>International journal of biometeorology, 2016-05, Vol.60 (5), p.663-675</ispartof><rights>ISB 2015</rights><rights>ISB 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</citedby><cites>FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</cites><orcidid>0000-0002-0114-1046</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00484-015-1060-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00484-015-1060-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26364040$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sugg, Margaret M</creatorcontrib><creatorcontrib>Konrad, Charles E., II</creatorcontrib><creatorcontrib>Fuhrmann, Christopher M</creatorcontrib><title>Relationships between maximum temperature and heat-related illness across North Carolina, USA</title><title>International journal of biometeorology</title><addtitle>Int J Biometeorol</addtitle><addtitle>Int J Biometeorol</addtitle><description>Heat kills more people than any other weather-related event in the USA, resulting in hundreds of fatalities each year. In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Animal Physiology</subject><subject>bioclimatology</subject><subject>Biological and Medical Physics</subject><subject>Biometeorology</subject><subject>Biophysics</subject><subject>Coastal plains</subject><subject>demographic statistics</subject><subject>Earth and Environmental Science</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>Emergency Service, Hospital - trends</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Extreme heat</subject><subject>gender</subject><subject>Heat</subject><subject>heat stress</subject><subject>Heat Stress Disorders - epidemiology</subject><subject>Heat tolerance</subject><subject>Heatstroke</subject><subject>Hot Temperature - adverse effects</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Meteorology</subject><subject>Middle Aged</subject><subject>morbidity</subject><subject>North Carolina - epidemiology</subject><subject>Original Paper</subject><subject>people</subject><subject>Plant Physiology</subject><subject>Rural Population - statistics & numerical data</subject><subject>Temperature</subject><subject>Urban Population - statistics & numerical data</subject><subject>Young Adult</subject><issn>0020-7128</issn><issn>1432-1254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc2O0zAUhS00iHYKD8CGscSGBYbr_3g5qmBAGoFE6RJZbnLTZpSfYicC3p6kKQjNAs3qLvx959o-hDzn8IYD2LcJQGWKAdeMgwGmHpElV1IwLrS6IEsAAcxykS3IZUp3MDqZsU_IQhhpFChYkm9fsA591bXpUB0T3WH_A7GlTfhZNUNDe2yOGEM_RKShLegBQ8_ipGBBq7puMSUa8tiN41MX-wNdh9jVVRte0-3m-il5XIY64bPzXJHt-3df1x_Y7eebj-vrW5Zro3umjeO5UrIEyF1hjSkQ5c4ZbWyptcmC1EWZKa5dngfhjHE235kicGudKoWSK_Jqzj3G7vuAqfdNlXKs69BiNyTPbWadlUqah6BcSyczO6Iv76F33RDb8SETBVYJcdrNZ-r0CxFLf4xVE-Ivz8FPNfm5Jj_W5Kea_OS8OCcPuwaLv8afXkZAzEAaj9o9xn9W_yf1apbK0Pmwj1Xy240AbgD4eNEM5G-uDaST</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Sugg, Margaret M</creator><creator>Konrad, Charles E., II</creator><creator>Fuhrmann, Christopher M</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88F</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KL.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M1Q</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0114-1046</orcidid></search><sort><creationdate>20160501</creationdate><title>Relationships between maximum temperature and heat-related illness across North Carolina, USA</title><author>Sugg, Margaret M ; Konrad, Charles E., II ; Fuhrmann, Christopher M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c565t-5691c443f00c9d766dee3b96567f5568a35df84159cca296697cb6da17794f243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Animal Physiology</topic><topic>bioclimatology</topic><topic>Biological and Medical Physics</topic><topic>Biometeorology</topic><topic>Biophysics</topic><topic>Coastal plains</topic><topic>demographic statistics</topic><topic>Earth and Environmental Science</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>Emergency Service, Hospital - trends</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Extreme heat</topic><topic>gender</topic><topic>Heat</topic><topic>heat stress</topic><topic>Heat Stress Disorders - epidemiology</topic><topic>Heat tolerance</topic><topic>Heatstroke</topic><topic>Hot Temperature - adverse effects</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Meteorology</topic><topic>Middle Aged</topic><topic>morbidity</topic><topic>North Carolina - epidemiology</topic><topic>Original Paper</topic><topic>people</topic><topic>Plant Physiology</topic><topic>Rural Population - statistics & numerical data</topic><topic>Temperature</topic><topic>Urban Population - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sugg, Margaret M</creatorcontrib><creatorcontrib>Konrad, Charles E., II</creatorcontrib><creatorcontrib>Fuhrmann, Christopher M</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest - 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In North Carolina, heat-related illness accounts for over 2,000 yearly emergency department admissions. In this study, data on emergency department (ED) visits for heat-related illness (HRI) were obtained from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool to identify spatiotemporal relationships between temperature and morbidity across six warm seasons (May–September) from 2007 to 2012. Spatiotemporal relationships are explored across different regions (e.g., coastal plain, rural) and demographics (e.g., gender, age) to determine the differential impact of heat stress on populations. This research reveals that most cases of HRI occur on days with climatologically normal temperatures (e.g., 31 to 35 °C); however, HRI rates increase substantially on days with abnormally high daily maximum temperatures (e.g., 31 to 38 °C). HRI ED visits decreased on days with extreme heat (e.g., greater than 38 °C), suggesting that populations are taking preventative measures during extreme heat and therefore mitigating heat-related illness.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26364040</pmid><doi>10.1007/s00484-015-1060-4</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0114-1046</orcidid></addata></record> |
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subjects | Adolescent Adult Aged Animal Physiology bioclimatology Biological and Medical Physics Biometeorology Biophysics Coastal plains demographic statistics Earth and Environmental Science Emergency Service, Hospital - statistics & numerical data Emergency Service, Hospital - trends Environment Environmental Health Extreme heat gender Heat heat stress Heat Stress Disorders - epidemiology Heat tolerance Heatstroke Hot Temperature - adverse effects Humans Illnesses Meteorology Middle Aged morbidity North Carolina - epidemiology Original Paper people Plant Physiology Rural Population - statistics & numerical data Temperature Urban Population - statistics & numerical data Young Adult |
title | Relationships between maximum temperature and heat-related illness across North Carolina, USA |
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