The impact of ambient temperature exposure on emergency calls-a time series analysis based on data of Xuchang and Zhengzhou
Objective: To investigate the effect of hourly ambient temperature exposure on emergency calls in Xuchang city and Zhengzhou city. Methods: The hourly meteorological data, air pollution data and emergency calls of Xuchang city and Zhengzhou city were collected from January 1, 2017 to October 31, 2019. A distributed lag non-linear model was used to calculate the excess relative risk (ERR). The lag effect and cumulative effect of extreme temperature exposure on emergency calls were evaluated. Results: The relationship between hourly temperature exposure and emergency calls was a U-shaped curve. In Xuchang city and Zhengzhou city, both low and high temperatures would increase the number of hourly emergency calls. The earliest effect of low temperature occurred at a lag of 22 h and 52 h, with ERR values (95%CI) about 0.20% (0.00%, 0.39%) and 0.11% (0.00%, 0.22%), respectively. The earliest effect of high temperature occurred at a lag of 0 h with ERR values about 1.59% (1.09%, 2.09%) and 1.45% (1.22%, 1.69%), respectively. High temperature had the greatest impact on the number of emergency calls of cardiovascular disease at a lag of 4-8 h. The cumulative ERR values (95%CI) of the two cities were 8.70% (4.98%, 12.75%) and 3.89% (2.61%, 5.22%), respectively. Conclusion: High temperature exposure could increase the number of emergency calls within a few hours, while the effect of low temperature would not occur until 22 hours later.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:55 |
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| Enthalten in: |
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine - 55(2021), 2 vom: 06. Feb., Seite 194-199 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Ai, S S [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 15.10.2021 Date Revised 15.10.2021 published: Print Citation Status MEDLINE |
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| doi: |
10.3760/cma.j.cn112150-20200603-00816 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM331859521 |
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| 245 | 1 | 4 | |a The impact of ambient temperature exposure on emergency calls-a time series analysis based on data of Xuchang and Zhengzhou |
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| 500 | |a Date Completed 15.10.2021 | ||
| 500 | |a Date Revised 15.10.2021 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Objective: To investigate the effect of hourly ambient temperature exposure on emergency calls in Xuchang city and Zhengzhou city. Methods: The hourly meteorological data, air pollution data and emergency calls of Xuchang city and Zhengzhou city were collected from January 1, 2017 to October 31, 2019. A distributed lag non-linear model was used to calculate the excess relative risk (ERR). The lag effect and cumulative effect of extreme temperature exposure on emergency calls were evaluated. Results: The relationship between hourly temperature exposure and emergency calls was a U-shaped curve. In Xuchang city and Zhengzhou city, both low and high temperatures would increase the number of hourly emergency calls. The earliest effect of low temperature occurred at a lag of 22 h and 52 h, with ERR values (95%CI) about 0.20% (0.00%, 0.39%) and 0.11% (0.00%, 0.22%), respectively. The earliest effect of high temperature occurred at a lag of 0 h with ERR values about 1.59% (1.09%, 2.09%) and 1.45% (1.22%, 1.69%), respectively. High temperature had the greatest impact on the number of emergency calls of cardiovascular disease at a lag of 4-8 h. The cumulative ERR values (95%CI) of the two cities were 8.70% (4.98%, 12.75%) and 3.89% (2.61%, 5.22%), respectively. Conclusion: High temperature exposure could increase the number of emergency calls within a few hours, while the effect of low temperature would not occur until 22 hours later | ||
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a Air Pollutants |2 NLM | |
| 700 | 1 | |a Qin, L J |e verfasserin |4 aut | |
| 700 | 1 | |a Cui, Y J |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, S Y |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, F |e verfasserin |4 aut | |
| 700 | 1 | |a Li, H |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Y |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, H L |e verfasserin |4 aut | |
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