气候变化领域集成服务门户(CCPortal): The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022)

CCPortal

DOI	10.1016/j.envres.2023.118066
	The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022)
	Khanh, Huyen Nguyen Thi; De Troeyer, Katrien; Smith, Pierre; Demoury, Claire; Casas, Lidia
发表日期	2024
ISSN	0013-9351
EISSN	1096-0953
起始页码	246
卷号	246
英文摘要	Introduction The associations between non-optimal ambient temperature, air pollution and SARS-CoV-2 infection and post COVID-19 condition (PCC) remain constrained in current understanding. We conducted a retrospective analysis to explore how ambient temperature affected SARS-CoV-2 infection in individuals who later developed PCC compared to those who did not. We investigated if these associations were modified by air pollution. Methods We conducted a bidirectional time-stratified case-crossover study among individuals who tested positive for SARS-CoV-2 between May 2021 and June 2022. We included 6302 infections, with 2850 PCC cases. We used conditional logistic regression and distributed lag non-linear models to obtain odds ratios (OR) and 95% confidence intervals (CI) for non-optimal temperatures relative to the period median temperature (10.6( degrees)C) on lags 0 to 5. For effect modification, daily average PM2.5 concentrations were categorized using the period median concentration (8.8 mu g/m(3)). Z-tests were used to compare the results by PCC status and PM2.5. Results Non-optimal cold temperatures increased the cumulative odds of infection (OR = 1.93; 95%CI:1.67-2.23, OR = 3.53; 95%CI:2.72-4.58, for moderate and extreme cold, respectively), with the strongest associations observed for non-PCC cases. Non-optimal heat temperatures decreased the odds of infection except for moderate heat among PCC cases (OR = 1.32; 95%CI:0.89-1.96). When PM2.5 was >8.8 mu g/m(3), the associations with cold were stronger, and moderate heat doubled the odds of infection with later development of PCC (OR = 2.18; 95%CI:1.01-4.69). When PM2.5 was <= 8.8 mu g/m(3), exposure to non-optimal temperatures reduced the odds of infection. Conclusion Exposure to cold increases SARS-CoV2 risk, especially on days with moderate to high air pollution. Heated temperatures and moderate to high air pollution during infection may cause PCC. These findings stress the need for mitigation and adaptation strategies for climate change to reduce increasing trends in the frequency of weather extremes that have consequences on air pollution concentrations.
英文关键词	Post COVID-19 conditions; SARS-CoV2 infection; Ambient temperature(s); Air pollution; Climate change
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号	WOS:001163096000001
来源期刊	ENVIRONMENTAL RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/291530
作者单位	Sciensano; University of Antwerp; Universite Catholique Louvain; Sciensano; University of Antwerp; Karolinska Institutet
推荐引用方式 GB/T 7714	Khanh, Huyen Nguyen Thi,De Troeyer, Katrien,Smith, Pierre,et al. The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022)[J],2024,246.
APA	Khanh, Huyen Nguyen Thi,De Troeyer, Katrien,Smith, Pierre,Demoury, Claire,&Casas, Lidia.(2024).The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022).ENVIRONMENTAL RESEARCH,246.
MLA	Khanh, Huyen Nguyen Thi,et al."The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022)".ENVIRONMENTAL RESEARCH 246(2024).