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A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion
Research on the impact of the environment on COVID-19 diffusion lacks a full-comprehensive perspective, and neglecting the multiplicity of the human-environment system can lead to misleading conclusions. We attempted to reveal all pre-existing environmental-to-human and human-to-human determinants t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490135/ https://www.ncbi.nlm.nih.gov/pubmed/34632042 http://dx.doi.org/10.1016/j.onehlt.2021.100335 |
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author | Qiu, Juan Li, Rendong Han, Dongfeng Shao, Qihui Han, Yifei Luo, Xiyue Wu, Yanlin |
author_facet | Qiu, Juan Li, Rendong Han, Dongfeng Shao, Qihui Han, Yifei Luo, Xiyue Wu, Yanlin |
author_sort | Qiu, Juan |
collection | PubMed |
description | Research on the impact of the environment on COVID-19 diffusion lacks a full-comprehensive perspective, and neglecting the multiplicity of the human-environment system can lead to misleading conclusions. We attempted to reveal all pre-existing environmental-to-human and human-to-human determinants that influence the transmission of COVID-19. As such, We estimated the daily case incidence ratios (CIR) of COVID-19 for prefectures across mainland China, and used a mixed-effects mixed-distribution model to study the association between the CIR and 114 factors related to climate, atmospheric environmental quality, terrain, population, economic, human mobility as well as non-pharmaceutical interventions (NPIs). Not only the changes in determinants over time as the pandemic progresses but also their lag and interaction effects were examined. CO, O(3), PM(10) and PM(2.5) were found positively linked with CIR, but the effect of NO(2) was negative. The temperature had no significant association with CIR, and the daily minimum humidity was a significant negatively predictor. NPIs' level was negatively associated with CIR until with a lag of 15 days. Higher accumulated destination migration scale flow from the epicenter and lower distance to the epicenter (DisWH) were associated with a higher CIR, however, the interaction between DisWH and the time was positive. The more economically developed and more densely populated cities have a higher probability of CIR occurrence, but they may not have a higher CIR intensity.The COVID-19 diffusion are caused by a multiplicity of environmental, economic, social factors as well as NPIs. First, multiple pollutants carried simultaneously on particulate matter affect COVID-19 transmission. Second, the temperature has a limited impact on the spread of the epidemic. Third, NPIs must last for at least 15 days or longer before the effect has been apparent. Fourth, the impact of population movement from the epicenter on COVID-19 gradually diminished over time and intraregional migration deserves more attention. |
format | Online Article Text |
id | pubmed-8490135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84901352021-10-05 A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion Qiu, Juan Li, Rendong Han, Dongfeng Shao, Qihui Han, Yifei Luo, Xiyue Wu, Yanlin One Health Research Paper Research on the impact of the environment on COVID-19 diffusion lacks a full-comprehensive perspective, and neglecting the multiplicity of the human-environment system can lead to misleading conclusions. We attempted to reveal all pre-existing environmental-to-human and human-to-human determinants that influence the transmission of COVID-19. As such, We estimated the daily case incidence ratios (CIR) of COVID-19 for prefectures across mainland China, and used a mixed-effects mixed-distribution model to study the association between the CIR and 114 factors related to climate, atmospheric environmental quality, terrain, population, economic, human mobility as well as non-pharmaceutical interventions (NPIs). Not only the changes in determinants over time as the pandemic progresses but also their lag and interaction effects were examined. CO, O(3), PM(10) and PM(2.5) were found positively linked with CIR, but the effect of NO(2) was negative. The temperature had no significant association with CIR, and the daily minimum humidity was a significant negatively predictor. NPIs' level was negatively associated with CIR until with a lag of 15 days. Higher accumulated destination migration scale flow from the epicenter and lower distance to the epicenter (DisWH) were associated with a higher CIR, however, the interaction between DisWH and the time was positive. The more economically developed and more densely populated cities have a higher probability of CIR occurrence, but they may not have a higher CIR intensity.The COVID-19 diffusion are caused by a multiplicity of environmental, economic, social factors as well as NPIs. First, multiple pollutants carried simultaneously on particulate matter affect COVID-19 transmission. Second, the temperature has a limited impact on the spread of the epidemic. Third, NPIs must last for at least 15 days or longer before the effect has been apparent. Fourth, the impact of population movement from the epicenter on COVID-19 gradually diminished over time and intraregional migration deserves more attention. Elsevier 2021-10-05 /pmc/articles/PMC8490135/ /pubmed/34632042 http://dx.doi.org/10.1016/j.onehlt.2021.100335 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Qiu, Juan Li, Rendong Han, Dongfeng Shao, Qihui Han, Yifei Luo, Xiyue Wu, Yanlin A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title | A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title_full | A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title_fullStr | A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title_full_unstemmed | A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title_short | A multiplicity of environmental, economic and social factor analyses to understand COVID-19 diffusion |
title_sort | multiplicity of environmental, economic and social factor analyses to understand covid-19 diffusion |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490135/ https://www.ncbi.nlm.nih.gov/pubmed/34632042 http://dx.doi.org/10.1016/j.onehlt.2021.100335 |
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