Association between ambient temperature and varicella among adults in Qingdao, China during 2008-2019
Little concern has been paid to the relationship between temperature and varicella among adults. Daily meteorological data and varicella cases in Qingdao among adults from 1 January 2008 to 31 December 2019 were collected. A combination of quasi-Poisson generalized additive model (GAM) and distributed lag non-linear model (DLNM) was conducted to assess the temperature-lag-varicella relationship. We also estimated the lag-response curves for different temperatures and the exposure-response relationships for different lag days. The number of varicella cases was 10,296. Compared with the minimum-varicella temperature (25°C), we found the largest effect of temperature on varicella within 21 lag days was at 1°C (RR, 6.72; 95% CI, 2.90-15.57), and then the effect declined as the temperature increased. A similar trend of rising first and then falling was found in temperature-response curves for different lag days. A reverse U-shape lag pattern was found for different levels of temperatures. Temperature may affect varicella.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:33 |
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| Enthalten in: |
International journal of environmental health research - 33(2023), 7 vom: 27. Juli, Seite 629-638 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wang, Zixuan [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 28.06.2023 Date Revised 28.06.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1080/09603123.2022.2043251 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM337523045 |
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| 245 | 1 | 0 | |a Association between ambient temperature and varicella among adults in Qingdao, China during 2008-2019 |
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| 500 | |a Date Revised 28.06.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Little concern has been paid to the relationship between temperature and varicella among adults. Daily meteorological data and varicella cases in Qingdao among adults from 1 January 2008 to 31 December 2019 were collected. A combination of quasi-Poisson generalized additive model (GAM) and distributed lag non-linear model (DLNM) was conducted to assess the temperature-lag-varicella relationship. We also estimated the lag-response curves for different temperatures and the exposure-response relationships for different lag days. The number of varicella cases was 10,296. Compared with the minimum-varicella temperature (25°C), we found the largest effect of temperature on varicella within 21 lag days was at 1°C (RR, 6.72; 95% CI, 2.90-15.57), and then the effect declined as the temperature increased. A similar trend of rising first and then falling was found in temperature-response curves for different lag days. A reverse U-shape lag pattern was found for different levels of temperatures. Temperature may affect varicella | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Adults | |
| 650 | 4 | |a CDC: Center for Disease Control and Prevention | |
| 650 | 4 | |a DLNM: distributed lag non-linear model | |
| 650 | 4 | |a GAM: Generalized additive model | |
| 650 | 4 | |a GCV: Generalized Cross Validation | |
| 650 | 4 | |a NDSS: China National Notifiable Disease Surveillance System | |
| 650 | 4 | |a VZV: varicella-zoster virus | |
| 650 | 4 | |a WHO: World Health Organization | |
| 650 | 4 | |a ambient temperature | |
| 650 | 4 | |a df: degrees of freedom | |
| 650 | 4 | |a lag-Response relationship | |
| 650 | 4 | |a varicella | |
| 700 | 1 | |a Li, Xiaofan |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Shanpeng |e verfasserin |4 aut | |
| 700 | 1 | |a Guan, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Ping |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Wencheng |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Feng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Dongfeng |e verfasserin |4 aut | |
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