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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10166718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
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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