{"title":"Impacts of Meteorological Parameters on COVID-19 Transmission Trends in the Central Part of Thailand","authors":"Siwatt Pongpiachan, Jayakrit Hirisajja, Aekkapol Aekakkararungroj, Pawan Gupta, Siwaporn Rungsiyanon, Chomsri Choochuay, Woranuch Deelaman, Saran Poshyachinda","doi":"10.1007/s41810-024-00224-w","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates the complex correlation between air pollution, meteorological factors, and daily COVID-19 cases in central Thailand. The arithmetic means and standard deviations of trace gaseous species, meteorological factors, daily COVID-19 incidence, and PM<sub>2.5</sub> concentrations are displayed. Univariate analysis, using Pearson correlation, shows strong positive relationships with daily COVID-19 incidence and O<sub>3</sub>, consistent with global studies. Previous research has found negative connections between the daily average levels of PM<sub>2.5</sub> and NO<sub>2</sub> with O<sub>3</sub>. This study investigates the mechanism of the interaction between O<sub>3</sub> and NO<sub>x</sub>, with a particular focus on its termination under specific atmospheric circumstances and the subsequent negative correlations between O<sub>3</sub> and NO<sub>2</sub>. A Multiple Linear Regression Analysis (MLRA) is performed, which shows significant positive MLRA coefficients for O<sub>3</sub> in different areas of Thailand during the COVID-19 lockdown. The significant decreases in NO<sub>2</sub> and other air pollution emissions are associated with substantial improvements in ground-level O<sub>3</sub>. The rise in O<sub>3</sub> levels is linked to an increase in the atmosphere’s ability to oxidize, resulting in the formation of secondary aerosols. This has consequences for human respiratory health and might potentially contribute to a rise in COVID-19 cases and deaths. The existence of positive associations between ground-level O<sub>3</sub> and COVID-19 infections is recognized, taking into account the detrimental impact on respiratory health. Nevertheless, the study prudently acknowledges that a correlation between variables does not necessarily indicate a cause-and-effect relationship. It emphasizes the presence of other influential factors such as population density, healthcare infrastructure, public health initiatives, and socioeconomic determinants that may obfuscate the results. To summarize, the study offers valuable understanding of the intricate relationships among air contaminants, meteorological circumstances, and the occurrence of COVID-19 in Thailand. This highlights the possible influence of ground-level O<sub>3</sub> on respiratory well-being and indicates the necessity for further research to clarify any direct correlation with COVID-19 infection.</p></div>","PeriodicalId":36991,"journal":{"name":"Aerosol Science and Engineering","volume":"8 3","pages":"370 - 383"},"PeriodicalIF":1.6000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerosol Science and Engineering","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s41810-024-00224-w","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the complex correlation between air pollution, meteorological factors, and daily COVID-19 cases in central Thailand. The arithmetic means and standard deviations of trace gaseous species, meteorological factors, daily COVID-19 incidence, and PM2.5 concentrations are displayed. Univariate analysis, using Pearson correlation, shows strong positive relationships with daily COVID-19 incidence and O3, consistent with global studies. Previous research has found negative connections between the daily average levels of PM2.5 and NO2 with O3. This study investigates the mechanism of the interaction between O3 and NOx, with a particular focus on its termination under specific atmospheric circumstances and the subsequent negative correlations between O3 and NO2. A Multiple Linear Regression Analysis (MLRA) is performed, which shows significant positive MLRA coefficients for O3 in different areas of Thailand during the COVID-19 lockdown. The significant decreases in NO2 and other air pollution emissions are associated with substantial improvements in ground-level O3. The rise in O3 levels is linked to an increase in the atmosphere’s ability to oxidize, resulting in the formation of secondary aerosols. This has consequences for human respiratory health and might potentially contribute to a rise in COVID-19 cases and deaths. The existence of positive associations between ground-level O3 and COVID-19 infections is recognized, taking into account the detrimental impact on respiratory health. Nevertheless, the study prudently acknowledges that a correlation between variables does not necessarily indicate a cause-and-effect relationship. It emphasizes the presence of other influential factors such as population density, healthcare infrastructure, public health initiatives, and socioeconomic determinants that may obfuscate the results. To summarize, the study offers valuable understanding of the intricate relationships among air contaminants, meteorological circumstances, and the occurrence of COVID-19 in Thailand. This highlights the possible influence of ground-level O3 on respiratory well-being and indicates the necessity for further research to clarify any direct correlation with COVID-19 infection.
期刊介绍:
ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications. ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.