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Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study

BACKGROUND: Evidence is limited regarding the association between meteorological factors and COVID-19 transmission in low- and middle-income countries (LMICs). OBJECTIVE: To investigate the independent and interactive effects of temperature, relative humidity (RH), and ultraviolet (UV) radiation on...

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Autores principales: Wang, Yu, Lyu, Yiran, Tong, Shilu, Ding, Cheng, Wei, Lan, Zhai, Mengying, Xu, Kaiqiang, Hao, Ruiting, Wang, Xiaochen, Li, Na, Luo, Yueyun, Li, Yonghong, Wang, Jiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166718/
https://www.ncbi.nlm.nih.gov/pubmed/37169140
http://dx.doi.org/10.1016/j.envres.2023.116088
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author Wang, Yu
Lyu, Yiran
Tong, Shilu
Ding, Cheng
Wei, Lan
Zhai, Mengying
Xu, Kaiqiang
Hao, Ruiting
Wang, Xiaochen
Li, Na
Luo, Yueyun
Li, Yonghong
Wang, Jiao
author_facet Wang, Yu
Lyu, Yiran
Tong, Shilu
Ding, Cheng
Wei, Lan
Zhai, Mengying
Xu, Kaiqiang
Hao, Ruiting
Wang, Xiaochen
Li, Na
Luo, Yueyun
Li, Yonghong
Wang, Jiao
author_sort Wang, Yu
collection PubMed
description BACKGROUND: Evidence is limited regarding the association between meteorological factors and COVID-19 transmission in low- and middle-income countries (LMICs). OBJECTIVE: To investigate the independent and interactive effects of temperature, relative humidity (RH), and ultraviolet (UV) radiation on the spread of COVID-19 in LMICs. METHODS: We collected daily data on COVID-19 confirmed cases, meteorological factors and non-pharmaceutical interventions (NPIs) in 2143 city- and district-level sites from 6 LMICs during 2020. We applied a time-stratified case-crossover design with distributed lag nonlinear model to evaluate the independent and interactive effects of meteorological factors on COVID-19 transmission after controlling NPIs. We generated an overall estimate through pooling site-specific relative risks (RR) using a multivariate meta-regression model. RESULTS: There was a positive, non-linear, association between temperature and COVID-19 confirmed cases in all study sites, while RH and UV showed negative non-linear associations. RR of the 90th percentile temperature (28.1 °C) was 1.14 [95% confidence interval (CI): 1.02, 1.28] compared with the 50th percentile temperature (24.4 °C). RR of the10th percentile UV was 1.41 (95% CI: 1.29, 1.54). High temperature and high RH were associated with increased risks in temperate climate but decreased risks in tropical climate, while UV exhibited a consistent, negative association across climate zones. Temperature, RH, and UV interacted to affect COVID-19 transmission. Temperature and RH also showed higher risks in low NPIs sites. CONCLUSION: Temperature, RH, and UV appeared to independently and interactively affect the transmission of COVID-19 in LMICs but such associations varied with climate zones. Our results suggest that more attention should be paid to meteorological variation when the transmission of COVID-19 is still rampant in LMICs.
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spelling pubmed-101667182023-05-09 Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study Wang, Yu Lyu, Yiran Tong, Shilu Ding, Cheng Wei, Lan Zhai, Mengying Xu, Kaiqiang Hao, Ruiting Wang, Xiaochen Li, Na Luo, Yueyun Li, Yonghong Wang, Jiao Environ Res Article BACKGROUND: Evidence is limited regarding the association between meteorological factors and COVID-19 transmission in low- and middle-income countries (LMICs). OBJECTIVE: To investigate the independent and interactive effects of temperature, relative humidity (RH), and ultraviolet (UV) radiation on the spread of COVID-19 in LMICs. METHODS: We collected daily data on COVID-19 confirmed cases, meteorological factors and non-pharmaceutical interventions (NPIs) in 2143 city- and district-level sites from 6 LMICs during 2020. We applied a time-stratified case-crossover design with distributed lag nonlinear model to evaluate the independent and interactive effects of meteorological factors on COVID-19 transmission after controlling NPIs. We generated an overall estimate through pooling site-specific relative risks (RR) using a multivariate meta-regression model. RESULTS: There was a positive, non-linear, association between temperature and COVID-19 confirmed cases in all study sites, while RH and UV showed negative non-linear associations. RR of the 90th percentile temperature (28.1 °C) was 1.14 [95% confidence interval (CI): 1.02, 1.28] compared with the 50th percentile temperature (24.4 °C). RR of the10th percentile UV was 1.41 (95% CI: 1.29, 1.54). High temperature and high RH were associated with increased risks in temperate climate but decreased risks in tropical climate, while UV exhibited a consistent, negative association across climate zones. Temperature, RH, and UV interacted to affect COVID-19 transmission. Temperature and RH also showed higher risks in low NPIs sites. CONCLUSION: Temperature, RH, and UV appeared to independently and interactively affect the transmission of COVID-19 in LMICs but such associations varied with climate zones. Our results suggest that more attention should be paid to meteorological variation when the transmission of COVID-19 is still rampant in LMICs. Published by Elsevier Inc. 2023-08-15 2023-05-09 /pmc/articles/PMC10166718/ /pubmed/37169140 http://dx.doi.org/10.1016/j.envres.2023.116088 Text en © 2023 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Wang, Yu
Lyu, Yiran
Tong, Shilu
Ding, Cheng
Wei, Lan
Zhai, Mengying
Xu, Kaiqiang
Hao, Ruiting
Wang, Xiaochen
Li, Na
Luo, Yueyun
Li, Yonghong
Wang, Jiao
Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title_full Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title_fullStr Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title_full_unstemmed Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title_short Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study
title_sort association between meteorological factors and covid-19 transmission in low- and middle-income countries: a time-stratified case-crossover study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166718/
https://www.ncbi.nlm.nih.gov/pubmed/37169140
http://dx.doi.org/10.1016/j.envres.2023.116088
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