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Bayram H, Konyalilar N, Elci MA, Rajabi H, Aksoy GT, Mortazavi D, Kayalar Ö, Dikensoy Ö, Taborda-Barata L, Viegi G. Issue 4 - Impact of air pollution on COVID-19 mortality and morbidity: An epidemiological and mechanistic review. Pulmonology 2024:S2531-0437(24)00051-5. [PMID: 38755091 DOI: 10.1016/j.pulmoe.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Air pollution is a major global environment and health concern. Recent studies have suggested an association between air pollution and COVID-19 mortality and morbidity. In this context, a close association between increased levels of air pollutants such as particulate matter ≤2.5 to 10 µM, ozone and nitrogen dioxide and SARS-CoV-2 infection, hospital admissions and mortality due to COVID 19 has been reported. Air pollutants can make individuals more susceptible to SARS-CoV-2 infection by inducing the expression of proteins such as angiotensin converting enzyme (ACE)2 and transmembrane protease, serine 2 (TMPRSS2) that are required for viral entry into the host cell, while causing impairment in the host defence system by damaging the epithelial barrier, muco-ciliary clearance, inhibiting the antiviral response and causing immune dysregulation. The aim of this review is to report the epidemiological evidence on impact of air pollutants on COVID 19 in an up-to-date manner, as well as to provide insights on in vivo and in vitro mechanisms.
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Affiliation(s)
- Hasan Bayram
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey; Department of Pulmonary Medicine, School of Medicine, Koç University, Zeytinburnu, Istanbul, Turkey.
| | - Nur Konyalilar
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey
| | | | - Hadi Rajabi
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey
| | - G Tuşe Aksoy
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey
| | - Deniz Mortazavi
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey
| | - Özgecan Kayalar
- Koç University Research Centre for Translational Medicine (KUTTAM), Zeytinburnu, Istanbul, Turkey
| | - Öner Dikensoy
- Department of Pulmonary Medicine, School of Medicine, Koç University, Zeytinburnu, Istanbul, Turkey
| | - Luis Taborda-Barata
- UBIAir - Clinical and Experimental Lung Centre UBIMedical, University of Beira Interior, Covilhã, Portugal; CICS-UBI - Health Sciences Research Centre, University of Beira Interior, Covilhã, Portugal
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Shahbaz MA, Kuivanen S, Mussalo L, Afonin AM, Kumari K, Behzadpour D, Kalapudas J, Koivisto AM, Penttilä E, Löppönen H, Jalava P, Vapalahti O, Balistreri G, Lampinen R, Kanninen KM. Exposure to urban particulate matter alters responses of olfactory mucosal cells to SARS-CoV-2 infection. ENVIRONMENTAL RESEARCH 2024; 249:118451. [PMID: 38341073 DOI: 10.1016/j.envres.2024.118451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/01/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
Respiratory viruses have a significant impact on health, as highlighted by the COVID-19 pandemic. Exposure to air pollution can contribute to viral susceptibility and be associated with severe outcomes, as suggested by recent epidemiological studies. Furthermore, exposure to particulate matter (PM), an important constituent of air pollution, is linked to adverse effects on the brain, including cognitive decline and Alzheimer's disease (AD). The olfactory mucosa (OM), a tissue located at the rooftop of the nasal cavity, is directly exposed to inhaled air and in direct contact with the brain. Increasing evidence of OM dysfunction related to neuropathogenesis and viral infection demonstrates the importance of elucidating the interplay between viruses and air pollutants at the OM. This study examined the effects of subacute exposure to urban PM 0.2 and PM 10-2.5 on SARS-CoV-2 infection using primary human OM cells obtained from cognitively healthy individuals and individuals diagnosed with AD. OM cells were exposed to PM and subsequently infected with the SARS-CoV-2 virus in the presence of pollutants. SARS-CoV-2 entry receptors and replication, toxicological endpoints, cytokine release, oxidative stress markers, and amyloid beta levels were measured. Exposure to PM did not enhance the expression of viral entry receptors or cellular viral load in human OM cells. However, PM-exposed and SARS-CoV-2-infected cells showed alterations in cellular and immune responses when compared to cells infected only with the virus or pollutants. These changes are highly pronounced in AD OM cells. These results suggest that exposure of human OM cells to PM does not increase susceptibility to SARS-CoV-2 infection in vitro, but it can alter cellular immune responses to the virus, particularly in AD. Understanding the interplay of air pollutants and COVID-19 can provide important insight for the development of public health policies and interventions to reduce the negative influences of air pollution exposure.
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Affiliation(s)
- Muhammad Ali Shahbaz
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Suvi Kuivanen
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany
| | - Laura Mussalo
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Alexey M Afonin
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Kajal Kumari
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Donya Behzadpour
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Juho Kalapudas
- University of Eastern Finland, Brain Research Unit, Department of Neurology, School of Medicine, Kuopio, Finland
| | - Anne M Koivisto
- University of Eastern Finland, Brain Research Unit, Department of Neurology, School of Medicine, Kuopio, Finland; Kuopio University Hospital, Department of Neurology, Neuro Centre, Kuopio, Finland; University of Helsinki, Faculty of Medicine, Department of Neurology and Geriatrics, Helsinki University Hospital and Neurosciences, Helsinki, Finland
| | - Elina Penttilä
- University of Eastern Finland and Kuopio University Hospital, Department of Otorhinolaryngology, Kuopio, Finland
| | - Heikki Löppönen
- University of Eastern Finland and Kuopio University Hospital, Department of Otorhinolaryngology, Kuopio, Finland
| | - Pasi Jalava
- University of Eastern Finland, Inhalation Toxicology Laboratory, Department of Environmental and Biological Sciences, Kuopio, Finland
| | - Olli Vapalahti
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland
| | - Giuseppe Balistreri
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland
| | - Riikka Lampinen
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Katja M Kanninen
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland.
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Alqarni Z, Rezgui Y, Petri I, Ghoroghi A. Viral infection transmission and indoor air quality: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171308. [PMID: 38432379 DOI: 10.1016/j.scitotenv.2024.171308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/03/2024] [Accepted: 02/25/2024] [Indexed: 03/05/2024]
Abstract
Respiratory disease transmission in indoor environments presents persistent challenges for health authorities, as exemplified by the recent COVID-19 pandemic. This underscores the urgent necessity to investigate the dynamics of viral infection transmission within indoor environments. This systematic review delves into the methodologies of respiratory infection transmission in indoor settings and explores how the quality of indoor air (IAQ) can be controlled to alleviate this risk while considering the imperative of sustainability. Among the 2722 articles reviewed, 178 were retained based on their focus on respiratory viral infection transmission and IAQ. Fifty eight articles delved into SARS-CoV-2 transmission, 21 papers evaluated IAQ in contexts of other pandemics, 53 papers assessed IAQ during the SARS-CoV-2 pandemic, and 46 papers examined control strategies to mitigate infectious transmission. Furthermore, of the 46 papers investigating control strategies, only nine considered energy consumption. These findings highlight clear gaps in current research, such as analyzing indoor air and surface samples for specific indoor environments, oversight of indoor and outdoor parameters (e.g., temperature, relative humidity (RH), and building orientation), neglect of occupancy schedules, and the absence of considerations for energy consumption while enhancing IAQ. This study distinctly identifies the indoor environmental conditions conducive to the thriving of each respiratory virus, offering IAQ trade-offs to mitigate the risk of dominant viruses at any given time. This study argues that future research should involve digital twins in conjunction with machine learning (ML) techniques. This approach aims to enhance IAQ by analyzing the transmission patterns of various respiratory viruses while considering energy consumption.
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Affiliation(s)
- Zahi Alqarni
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK; School of Computer Science, King Khalid University, Abha 62529, Saudi Arabia.
| | - Yacine Rezgui
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
| | - Ioan Petri
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
| | - Ali Ghoroghi
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
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Deji Z, Tong Y, Huang H, Zhang Z, Fang M, Crabbe MJC, Zhang X, Wang Y. Influence of Environmental Factors and Genome Diversity on Cumulative COVID-19 Cases in the Highland Region of China: Comparative Correlational Study. Interact J Med Res 2024; 13:e43585. [PMID: 38526532 DOI: 10.2196/43585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 07/20/2023] [Accepted: 03/06/2024] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND The novel coronavirus SARS-CoV-2 caused the global COVID-19 pandemic. Emerging reports support lower mortality and reduced case numbers in highland areas; however, comparative studies on the cumulative impact of environmental factors and viral genetic diversity on COVID-19 infection rates have not been performed to date. OBJECTIVE The aims of this study were to determine the difference in COVID-19 infection rates between high and low altitudes, and to explore whether the difference in the pandemic trend in the high-altitude region of China compared to that of the lowlands is influenced by environmental factors, population density, and biological mechanisms. METHODS We examined the correlation between population density and COVID-19 cases through linear regression. A zero-shot model was applied to identify possible factors correlated to COVID-19 infection. We further analyzed the correlation of meteorological and air quality factors with infection cases using the Spearman correlation coefficient. Mixed-effects multiple linear regression was applied to evaluate the associations between selected factors and COVID-19 cases adjusting for covariates. Lastly, the relationship between environmental factors and mutation frequency was evaluated using the same correlation techniques mentioned above. RESULTS Among the 24,826 confirmed COVID-19 cases reported from 40 cities in China from January 23, 2020, to July 7, 2022, 98.4% (n=24,430) were found in the lowlands. Population density was positively correlated with COVID-19 cases in all regions (ρ=0.641, P=.003). In high-altitude areas, the number of COVID-19 cases was negatively associated with temperature, sunlight hours, and UV index (P=.003, P=.001, and P=.009, respectively) and was positively associated with wind speed (ρ=0.388, P<.001), whereas no correlation was found between meteorological factors and COVID-19 cases in the lowlands. After controlling for covariates, the mixed-effects model also showed positive associations of fine particulate matter (PM2.5) and carbon monoxide (CO) with COVID-19 cases (P=.002 and P<.001, respectively). Sequence variant analysis showed lower genetic diversity among nucleotides for each SARS-CoV-2 genome (P<.001) and three open reading frames (P<.001) in high altitudes compared to 300 sequences analyzed from low altitudes. Moreover, the frequencies of 44 nonsynonymous mutations and 32 synonymous mutations were significantly different between the high- and low-altitude groups (P<.001, mutation frequency>0.1). Key nonsynonymous mutations showed positive correlations with altitude, wind speed, and air pressure and showed negative correlations with temperature, UV index, and sunlight hours. CONCLUSIONS By comparison with the lowlands, the number of confirmed COVID-19 cases was substantially lower in high-altitude regions of China, and the population density, temperature, sunlight hours, UV index, wind speed, PM2.5, and CO influenced the cumulative pandemic trend in the highlands. The identified influence of environmental factors on SARS-CoV-2 sequence variants adds knowledge of the impact of altitude on COVID-19 infection, offering novel suggestions for preventive intervention.
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Affiliation(s)
- Zhuoga Deji
- Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Information School, The University of Sheffield, Sheffield, United Kingdom
| | - Yuantao Tong
- Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Honglian Huang
- Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zeyu Zhang
- Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Meng Fang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - M James C Crabbe
- Wolfson College, Oxford University, Oxford, United Kingdom
- Institute of Biomedical and Environmental Science & Technology, University of Bedfordshire, Bedfordshire, United Kingdom
- School of Life Sciences, Shanxi University, Shanxi, China
| | - Xiaoyan Zhang
- Research Center for Translational Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Ying Wang
- Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Yen CC, Hsiao PJ, Chu CM, Chen PL. The impact of COVID-19 pandemic on air particulate matter exposure and heart attacks: a 5-year retrospective cohort study in Taiwan (2017-2021). Front Public Health 2024; 12:1321129. [PMID: 38476499 PMCID: PMC10927788 DOI: 10.3389/fpubh.2024.1321129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 02/12/2024] [Indexed: 03/14/2024] Open
Abstract
Background Heart attacks including acute ST-segment elevation myocardial infarction (STEMI) and acute decompensated heart failure (ADHF) caused from the particulate matter (PM) and air pollutant exposures are positively associated with regional air pollution severity and individual exposure. The exceptional coronavirus disease epidemic of 2019 (COVID-19) may enhance the air conditions in areas under COVID-19 pandemic. We sought to study the impact of COVID-19 pandemic on air particulate matter (PM) exposure and heart attacks in Taiwan. Methods This retrospective cohort study was conducted in one teaching hospital in Taichung, Taiwan. We examined emergency patients diagnosed with acute STEMI and ADHF from January 1, 2017, to March 31, 2020, (i.e., before the COVID-19 pandemic) and from April 1, 2020, to December 31, 2021, (after the COVID-19 pandemic). The effects of particulate matter with a diameter of less than 2.5 micrometers (PM2.5) and PM10 as well as temperature and humidity on environmental air pollutants were recorded. The analysis was performed with a unidirectional case-crossover research design and a conditional logistic regression model. Results Both PM2.5 and PM10 levels had a positive association with the risk of acute STEMI before the COVID-19 pandemic (PM2.5 adjusted odds ratio (OR): 1.016, 95% confidence interval (CI): 1.003-1.032 and PM10 adjusted OR: 1.009, 95% CI: 1.001-1.018) and ADHF (PM2.5 adjusted OR: 1.046, 95% CI: 1.034-1.067 and PM10 adjusted OR: 1.023, 95% CI: 1.027-1.047). Moreover, the results demonstrated that PM2.5 and PM10 were not associated with the risk of acute STEMI or ADHF after the COVID-19 pandemic. Reduction in PM2.5 and PM10 levels after the COVID-19 pandemic were noted. Hospital admissions for acute STEMI (7.4 and 5.8/per month) and ADHF (9.7 and 8.2/per month) also decreased (21.6 and 15.5%) after the COVID-19 pandemic. Conclusion In Taiwan, paradoxical reductions in PM2.5 and PM10 levels during the COVID-19 pandemic may decrease the number of hospital admissions for acute STEMI and ADHF. As the COVID-19 pandemic eases, the condition of air pollution may gradually become worse again. The governments should formulate better policies to improve the health of the public and the quality of the air.
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Affiliation(s)
- Chih-Chien Yen
- Department of Surgery, Division of Cardiovascular Surgery, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
- Department of Surgery, Division of Cardiovascular Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Po-Jen Hsiao
- Department of Internal Medicine, Division of Nephrology, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
- Department of Internal Medicine, Division of Nephrology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Department of Life Sciences, National Central University, Taoyuan, Taiwan
| | - Chi-Ming Chu
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
- Department of Public Health, School of Public Health, China Medical University, Taichung, Taiwan
| | - Ping-Ling Chen
- Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan
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Rybarczyk Y, Zalakeviciute R, Ortiz-Prado E. Causal effect of air pollution and meteorology on the COVID-19 pandemic: A convergent cross mapping approach. Heliyon 2024; 10:e25134. [PMID: 38322928 PMCID: PMC10844283 DOI: 10.1016/j.heliyon.2024.e25134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/15/2024] [Accepted: 01/22/2024] [Indexed: 02/08/2024] Open
Abstract
Environmental factors have been suspected to influence the propagation and lethality of COVID-19 in the global population. However, most of the studies have been limited to correlation analyses and did not use specific methods to address the dynamic of the causal relationship between the virus and its external drivers. This work focuses on inferring and understanding the causal effect of critical air pollutants and meteorological parameters on COVID-19 by using an Empirical Dynamic Modeling approach called Convergent Cross Mapping. This technique allowed us to identify the time-delayed causation and the sign of interactions. Considering its remarkable urban environment and mortality rate during the pandemic, Quito, Ecuador, was chosen as a case study. Our results show that both urban air pollution and meteorology have a causal impact on COVID-19. Even if the strength and the sign of the causality vary over time, a general trend can be drawn. NO2, SO2, CO and PM2.5 have a positive causation for COVID-19 infections (ρ > 0.35 and ∂ > 9.1). Contrary to current knowledge, this study shows a rapid effect of pollution on COVID-19 cases (1 < lag days <24) and a negative impact of O3 on COVID-19-related deaths (ρ = 0.53 and ∂ = -0.3). Regarding the meteorology, temperature (ρ = 0.24 and ∂ = -0.4) and wind speed (ρ = 0.34 and ∂ = -3.9) tend to mitigate the epidemiological consequences of SARS-CoV-2, whereas relative humidity seems to increase the excess deaths (ρ = 0.4 and ∂ = 0.05). A causal network is proposed to synthesize the interactions between the studied variables and to provide a simple model to support the management of coronavirus outbreaks.
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Affiliation(s)
- Yves Rybarczyk
- School of Information and Engineering, Dalarna University, Falun, Sweden
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Miah MM, Faruk MO, Pingki FH, Al Neyma M. The effects of meteorological factors on the COVID-19 omicron variant in Bangladesh. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:514-525. [PMID: 36469810 DOI: 10.1080/09603123.2022.2154326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
The COVID-19 omicron variant is exceptionally complicated and uncertain due to its rapid transmission and volume of infections. This study examines the impact of climatic factors on daily confirmed cases of COVID-19 omicron variant in Bangladesh. The secondary data of daily confirmed cases from 1 January 2022, to 31 March 2022, of eight distinct geographic divisions have been used for the current study. The multivariate generalized linear negative binomial regression model was applied to determine the effects of climatic factors on omicron transmission. The model revealed that the maximum temperature (Odds: 0.67, p < 0.05), sky clearness (Odds: 0.05, p < 0.05), wind speed (Odds: 0.76, p < 0.05), relative humidity (Odds: 1.02, p < 0.05), and air pressure (Odds: 0.27, p < 0.05) significantly impacted COVID-19 omicron transmission in Bangladesh. The study's findings can assist the concerned authorities and decision-makers take necessary measures to control the spread of omicron cases in Bangladesh.
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Affiliation(s)
- Md Mamun Miah
- Department of Statistics, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Mohammad Omar Faruk
- Department of Statistics, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Farjana Haque Pingki
- Department of Fisheries and Marine Science, Noakhali Science and Technology University, Noakhali, Bangladesh
| | - Mahmuda Al Neyma
- Department of Statistics, Noakhali Science and Technology University, Noakhali, Bangladesh
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Nakhjirgan P, Kashani H, Kermani M. Exposure to outdoor particulate matter and risk of respiratory diseases: a systematic review and meta-analysis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 46:20. [PMID: 38153542 DOI: 10.1007/s10653-023-01807-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/22/2023] [Indexed: 12/29/2023]
Abstract
According to epidemiological studies, particulate matter (PM) is an important air pollutant that poses a significant threat to human health. The relationship between particulate matter and respiratory diseases has been the subject of numerous studies, but these studies have produced inconsistent findings. The purpose of this systematic review was to examine the connection between outdoor particulate matter (PM2.5 and PM10) exposure and respiratory disorders (COPD, lung cancer, LRIs, and COVID-19). For this purpose, we conducted a literature search between 2012 and 2022 in PubMed, Web of Science, and Scopus. Out of the 58 studies that were part of the systematic review, meta-analyses were conducted on 53 of them. A random effect model was applied separately for each category of study design to assess the pooled association between exposure to PM2.5 and PM10 and respiratory diseases. Based on time-series and cohort studies, which are the priorities of the strength of evidence, a significant relationship between the risk of respiratory diseases (COPD, lung cancer, and COVID-19) was observed (COPD: pooled HR = 1.032, 95% CI: 1.004-1.061; lung cancer: pooled HR = 1.017, 95% CI: 1.015-1.020; and COVID-19: pooled RR = 1.004, 95% CI: 1.002-1.006 per 1 μg/m3 increase in PM2.5). Also, a significant relationship was observed between PM10 and respiratory diseases (COPD, LRIs, and COVID-19) based on time-series and cohort studies. Although the number of studies in this field is limited, which requires more investigations, it can be concluded that outdoor particulate matter can increase the risk of respiratory diseases.
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Affiliation(s)
- Pegah Nakhjirgan
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Homa Kashani
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Majid Kermani
- Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Research Center for Environmental Health Technology, Iran University of Medical Sciences, Tehran, Iran.
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Chen S, Huang L, Cai D, Li B, Yang J. Association between meteorological factors and COVID-19: a systematic review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:1254-1268. [PMID: 35674116 DOI: 10.1080/09603123.2022.2083090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
The outbreak of coronavirus disease in 2019 has become a serious threat to human health. Whether meteorological conditions could influence the transmission and virulence of COVID-19 remains controversial. In this study, we systematically reviewed the impact of temperature and humidity on the replication, morbidity, and mortality of COVID-19. We also discussed the main factors underlying the inconsistency across studies. Pubmed, Web of Science, Embase, and Scopus were used to identify papers published up to 7 December 2020. We initially identified 3515 papers, and 28 articles met the inclusion criteria after screening. Most studies showed high temperature and high humidity can partly reduce the reproduction, morbidity, and mortality of COVID-19. But the rest papers failed to identify a significant association. The discrepant results may be related to the difference in the climate context, study design, exposure assessment, policy intervention, socioeconomic status, and public health service.
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Affiliation(s)
- Sujuan Chen
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Lin Huang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Dongjie Cai
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, China
| | - Bixia Li
- College of Computer, Guangdong University of Science & Technology, Dongguan, China
| | - Jun Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, China
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10
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Liu X, Guo Y, Pan W, Xue Q, Fu J, Qu G, Zhang A. Exogenous Chemicals Impact Virus Receptor Gene Transcription: Insights from Deep Learning. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:18038-18047. [PMID: 37186679 DOI: 10.1021/acs.est.2c09837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Despite the fact that coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been disrupting human life and health worldwide since the outbreak in late 2019, the impact of exogenous substance exposure on the viral infection remains unclear. It is well-known that, during viral infection, organism receptors play a significant role in mediating the entry of viruses to enter host cells. A major receptor of SARS-CoV-2 is the angiotensin-converting enzyme 2 (ACE2). This study proposes a deep learning model based on the graph convolutional network (GCN) that enables, for the first time, the prediction of exogenous substances that affect the transcriptional expression of the ACE2 gene. It outperforms other machine learning models, achieving an area under receiver operating characteristic curve (AUROC) of 0.712 and 0.703 on the validation and internal test set, respectively. In addition, quantitative polymerase chain reaction (qPCR) experiments provided additional supporting evidence for indoor air pollutants identified by the GCN model. More broadly, the proposed methodology can be applied to predict the effect of environmental chemicals on the gene transcription of other virus receptors as well. In contrast to typical deep learning models that are of black box nature, we further highlight the interpretability of the proposed GCN model and how it facilitates deeper understanding of gene change at the structural level.
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Affiliation(s)
- Xian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Yunhe Guo
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Wenxiao Pan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Qiao Xue
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Jianjie Fu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310012, P. R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, P. R. China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, P.R. China
| | - Guangbo Qu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310012, P. R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, P. R. China
| | - Aiqian Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310012, P. R. China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, P. R. China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, P.R. China
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11
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Al-Khateeb MS, Abdulla FA, Al-Delaimy WK. Long-term spatiotemporal analysis of the climate related impact on the transmission rate of COVID-19. ENVIRONMENTAL RESEARCH 2023; 236:116741. [PMID: 37500034 DOI: 10.1016/j.envres.2023.116741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 07/06/2023] [Accepted: 07/24/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND The association between weather conditions and the spread of COVID-19 was demonstrated by previous studies but focused on specific countries or investigated shorter periods of duration limiting the interpretation of the results. AIM To make an international comprehensive insight into the association between the weather conditions and the spread of COVID-19 by spanning many regions in the Northern and Southern hemispheres over a period of two years for the COVID-19 Outbreak. METHODS The data were analyzed by using statistical description, linear and multiple regressions, and the Spearman rank correlation test. Daily and weekly COVID-19 cases, the average temperatures, Wind Speed, the amount of precipitation as well as the relative humidity rates were collected from Irbid, Jordan as the main location of analyses, as well as comparison cities and countries in both hemispheres. RESULTS we found that certain climate variables are significant factors in determining the transmission rate of COVID-19 worldwide. Where, The temperature in the northern hemisphere regions was the most important climate factor that affects the increase in the transmission rate of COVID-19 (Northern Hemisphere rs = -0.65; Irbid rs = -0.74995; P < 0.001), While in southern hemisphere, the climate factor that affects the increase in the transmission rate of COVID-19 was the humidity (rs = 0.55; P < 0.01), In addition, we found the negligible and oscillated effect of wind speed on the transmission rate of COVID-19 worldwide. Moreover, we found that in Irbid 82% of COVID-19 cases were in the fall and winter seasons, while in summer the percentage of COVID-19 cases didn't exceed 3% during the total study period. CONCLUSION This study can help develop international strategies and policies against COVID-19-related pandemic peaks, especially during the colder seasons in the Northern Hemisphere regions from the first month of fall to the last month of winter.
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Affiliation(s)
- Mohammed S Al-Khateeb
- Civil Engineering Department, Jordan University of Science and Technology, Irbid, Jordan.
| | - Fayez A Abdulla
- Civil Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
| | - Wael K Al-Delaimy
- Wertheim School of Public Health and Human Longevity Science, University of California San Diego: San Diego, CA, USA
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12
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Li W, Dai F, Diehl JA, Chen M, Bai J. Exploring the spatial pattern of community urban green spaces and COVID-19 risk in Wuhan based on a random forest model. Heliyon 2023; 9:e19773. [PMID: 37809821 PMCID: PMC10559124 DOI: 10.1016/j.heliyon.2023.e19773] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 10/10/2023] Open
Abstract
Since 2019, COVID-19 has triggered a renewed investigation of the urban environment and disease outbreak. While the results have been inconsistent, it has been observed that the quantity of urban green spaces (UGS) is correlated with the risk of COVID-19. However, the spatial pattern has largely been ignored, especially on the community scale. In high-density communities where it is difficult to increase UGS quantity, UGS spatial pattern could be a crucial predictive variable. Thus, this study investigated the relative contribution of quantity and spatial patterns of UGS on COVID-19 risk at the community scale using a random forest (RF) regression model based on (n = 44) communities in Wuhan. Findings suggested that 8 UGS indicators can explain 35% of the risk of COVID-19, and the four spatial pattern metrics that contributed most were core, edge, loop, and branch whereas UGS quantity contributed least. The potential mechanisms between UGS and COVID-19 are discussed, including the influence of UGS on residents' social distance and environmental factors in the community. This study offers a new perspective on optimizing UGS for public health and sustainable city design to combat pandemics and inspire future research on the specific relationship between UGS spatial patterns and pandemics and therefore help establish mechanisms of UGS and pandemics.
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Affiliation(s)
- Wenpei Li
- Department of Architecture, College of Design and Engineering, National University of Singapore, 117566, Singapore
| | - Fei Dai
- School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, PR China
- Hubei Engineering and Technology Research Center of Urbanization, Wuhan, 430074, PR China
| | - Jessica Ann Diehl
- Department of Architecture, College of Design and Engineering, National University of Singapore, 117566, Singapore
| | - Ming Chen
- School of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan, 430074, PR China
- Hubei Engineering and Technology Research Center of Urbanization, Wuhan, 430074, PR China
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13
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Hu C, Sun Z, Li C, Zhang Y, Xing C. Survey of Time Series Data Generation in IoT. SENSORS (BASEL, SWITZERLAND) 2023; 23:6976. [PMID: 37571759 PMCID: PMC10422358 DOI: 10.3390/s23156976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023]
Abstract
Nowadays, with the rapid growth of the internet of things (IoT), massive amounts of time series data are being generated. Time series data play an important role in scientific and technological research for conducting experiments and studies to obtain solid and convincing results. However, due to privacy restrictions, limited access to time series data is always an obstacle. Moreover, the limited available open source data are often not suitable because of a small quantity and insufficient dimensionality and complexity. Therefore, time series data generation has become an imperative and promising solution. In this paper, we provide an overview of classical and state-of-the-art time series data generation methods in IoT. We classify the time series data generation methods into four major categories: rule-based methods, simulation-model-based methods, traditional machine-learning-based methods, and deep-learning-based methods. For each category, we first illustrate its characteristics and then describe the principles and mechanisms of the methods. Finally, we summarize the challenges and future directions of time series data generation in IoT. The systematic classification and evaluation will be a valuable reference for researchers in the time series data generation field.
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Affiliation(s)
- Chaochen Hu
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; (C.H.); (Z.S.); (C.X.)
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Zihan Sun
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; (C.H.); (Z.S.); (C.X.)
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Chao Li
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; (C.H.); (Z.S.); (C.X.)
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Yong Zhang
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; (C.H.); (Z.S.); (C.X.)
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Chunxiao Xing
- Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China; (C.H.); (Z.S.); (C.X.)
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
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14
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Tomichan R, Sharma A, Akash K, Siddiqui AA, Dubey A, Upadhyay TK, Kumar D, Pandey S, Nagraik R. Insight of smart biosensors for COVID-19: A review. LUMINESCENCE 2023; 38:1102-1110. [PMID: 36577837 PMCID: PMC9880657 DOI: 10.1002/bio.4430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/15/2022] [Accepted: 12/20/2022] [Indexed: 12/30/2022]
Abstract
The review discusses the diagnostic application of biosensors as point-of-care devices in the COVID-19 pandemic. Biosensors are important analytical tools that can be used for the robust and effective detection of infectious diseases in real-time. In this current scenario, the utilization of smart, efficient biosensors for COVID-19 detection is increasing and we have included a few smart biosensors such as smart and intelligent based biosensors, plasmonic biosensors, field effect transistor (FET) biosensors, smart optical biosensors, surface enhanced Raman scattering (SERS) biosensor, screen printed electrode (SPE)-based biosensor, molecular imprinted polymer (MIP)-based biosensor, MXene-based biosensor and metal-organic frame smart sensor. Their significance as well as the benefits and drawbacks of each kind of smart sensor are mentioned in depth. Furthermore, we have compiled a list of various biosensors which have been developed across the globe for COVID-19 and have shown promise as commercial detection devices. Significant challenges in the development of effective diagnostic methods are discussed and recommendations have been made for better diagnostic outcomes to manage the ongoing pandemic effectively.
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Affiliation(s)
- Rosemary Tomichan
- Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - Avinash Sharma
- Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - K. Akash
- Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - Adeeb Ahmad Siddiqui
- Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
| | - Amit Dubey
- Computational Chemistry and Drug Discovery DivisionQuanta Calculus Pvt. LtdKushinagarUttar PradeshIndia
- Department of Pharmacology, Saveetha Dental College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia
| | - Tarun Kumar Upadhyay
- Department of Biotechnology, Parul Institute of Applied Sciences, Animal Cell Culture and Immunobiochemistry LabParul UniversityVadodaraGujaratIndia
| | - Deepak Kumar
- Department of Pharmaceutical Chemistry, School of Pharmaceutical SciencesShoolini UniversitySolanHimachal PradeshIndia
| | - Sadanand Pandey
- Department of Chemistry, College of Natural SciencesYeungnam UniversityGyeongsanGyeongbukSouth Korea
| | - Rupak Nagraik
- Faculty of Applied Sciences and BiotechnologyShoolini UniversitySolanHimachal PradeshIndia
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15
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Sangkham S, Islam MA, Sarndhong K, Vongruang P, Hasan MN, Tiwari A, Bhattacharya P. Effects of fine particulate matter (PM 2.5) and meteorological factors on the daily confirmed cases of COVID-19 in Bangkok during 2020-2021, Thailand. CASE STUDIES IN CHEMICAL AND ENVIRONMENTAL ENGINEERING 2023; 8:100410. [PMID: 38620170 PMCID: PMC10286573 DOI: 10.1016/j.cscee.2023.100410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 04/17/2024]
Abstract
The ongoing global pandemic caused by the SARS-CoV-2 virus, known as COVID-19, has disrupted public health, businesses, and economies worldwide due to its widespread transmission. While previous research has suggested a possible link between environmental factors and increased COVID-19 cases, the evidence regarding this connection remains inconclusive. The purpose of this research is to determine whether or not there is a connection between the presence of fine particulate matter (PM2.5) and meteorological conditions and COVID-19 infection rates in Bangkok, Thailand. The study employs a statistical method called Generalized Additive Model (GAM) to find a positive and non-linear association between RH, AH, and R and the number of verified COVID-19 cases. The impacts of the seasons (especially summer) and rainfall on the trajectory of COVID-19 cases were also highlighted, with an adjusted R-square of 0.852 and a deviance explained of 85.60%, both of which were statistically significant (p < 0.05). The study results assist in preventing the future seasonal spread of COVID-19, and public health authorities may use these findings to make informed decisions and assess their policies.
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Affiliation(s)
- Sarawut Sangkham
- Department of Environmental Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
| | - Md Aminul Islam
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh
| | - Kritsada Sarndhong
- Department of Community Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
| | - Patipat Vongruang
- Department of Environmental Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
- Atmospheric Pollution and Climate Change Research Unit, School of Energy and Environment, University of Phayao, Phayao, 56000, Thailand
| | - Mohammad Nayeem Hasan
- Department of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh
| | - Ananda Tiwari
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland
| | - Prosun Bhattacharya
- COVID-19 Research, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, SE, 10044, Stockholm, Sweden
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16
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Torres-Anguiano E, Sánchez-López I, Garduno-Robles A, Rivas-Carrillo JD, Rivera-León EA, Sánchez-Enríquez S, Ornelas-Hernández LF, Zazueta León-Quintero F, Salazar León-Quintero EN, Juárez-López GE, Sánchez-Zubieta FA, Ochoa-Bru M, Zepeda-Moreno A. SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México. Infect Dis Model 2023; 8:445-457. [PMID: 37131453 PMCID: PMC10116164 DOI: 10.1016/j.idm.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/05/2023] [Accepted: 04/10/2023] [Indexed: 05/04/2023] Open
Abstract
Objectives To determine whether air pollution or changes in SARS-CoV-2 lineages lead to an increase in mortality. Methods Descriptive statistics were used to calculate rates of infection (2020-2021). RT-PCR was used to compare viral loads from October 2020 to February 2021. Next-generation sequencing (NGS) (n = 92) was used to examine and phylogenetically map SARS-CoV-2 lineages. A correlative "air pollution/temperature" index (I) was developed using regression analysis. PM2.5, PM10, O3, NO2, SO2, and CO concentrations were analyzed and compared to the mortality. Results The mortality rate during the last year was ∼32%. Relative SARS-CoV-2 viral loads increased in December 2020 and January 2021. NGS revealed that approximately 80% of SARS-CoV-2 linages were B.1.243 (33.7%), B1.1.222 (11.2%), B.1.1 (9%), B.1 (7%), B.1.1.159 (7%), and B.1.2 (7%). Two periods were analyzed, the prehigh- and high-mortality periods and no significant lineage differences or new lineages were found. Positive correlations of air pollution/temperature index values with mortality were found for IPM2.5 and IPM10. INO2. ISO2, and ICO but not for O3. Using ICO, we developed a model to predict mortality with an estimated variation of ∼±5 deaths per day. Conclusion The mortality rate in the MZG was highly correlated with air pollution indices and not with SARS-CoV-2 lineage.
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Affiliation(s)
- Elizabeth Torres-Anguiano
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
| | - Itzel Sánchez-López
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
| | - Angeles Garduno-Robles
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
| | - Jorge David Rivas-Carrillo
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
| | - Edgar Alfonso Rivera-León
- Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
| | - Sergio Sánchez-Enríquez
- Departamento de Clínicas, Centro Universitario de los Altos, Universidad de Guadalajara, Tepatitlán de Morelos, Jalisco, Mexico
| | | | - Fernando Zazueta León-Quintero
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
| | | | - Guillermo Enrique Juárez-López
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
| | - Fernando Antonio Sánchez-Zubieta
- Departamento de Clínicas Médicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
- Servicio de Hemato-Oncología Pediátrica, Hospital Civil de Guadalajara “Dr. Juan I. Menchaca”, Guadalajara, Jalisco, Mexico
| | - Mariana Ochoa-Bru
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
| | - Abraham Zepeda-Moreno
- Onkogenetik/Mexicana de Investigación y Biotectogía S.A. de C.V, Guadalajara, Jalisco, Mexico
- Unidad de Biología Molecular, Investigación y Diagnóstico, Hospital San Javier, Guadalajara, Jalisco, Mexico
- Departamento de Clínicas Médicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
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17
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Zoran MA, Savastru RS, Savastru DM, Tautan MN. Peculiar weather patterns effects on air pollution and COVID-19 spread in Tokyo metropolis. ENVIRONMENTAL RESEARCH 2023; 228:115907. [PMID: 37080275 PMCID: PMC10111861 DOI: 10.1016/j.envres.2023.115907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023]
Abstract
As a pandemic hotspot in Japan, between March 1, 2020-October 1, 2022, Tokyo metropolis experienced seven COVID-19 waves. Motivated by the high rate of COVID-19 incidence and mortality during the seventh wave, and environmental/health challenges we conducted a time-series analysis to investigate the long-term interaction of air quality and climate variability with viral pandemic in Tokyo. Through daily time series geospatial and observational air pollution/climate data, and COVID-19 incidence and death cases, this study compared the environmental conditions during COVID-19 multiwaves. In spite of five State of Emergency (SOEs) restrictions associated with COVID-19 pandemic, during (2020-2022) period air quality recorded low improvements relative to (2015-2019) average annual values, namely: Aerosol Optical Depth increased by 9.13% in 2020 year, and declined by 6.64% in 2021, and 12.03% in 2022; particulate matter PM2.5 and PM10 decreased during 2020, 2021, and 2022 years by 10.22%, 62.26%, 0.39%, and respectively by 4.42%, 3.95%, 5.76%. For (2021-2022) period the average ratio of PM2.5/PM10 was (0.319 ± 0.1640), showing a higher contribution to aerosol loading of traffic-related coarse particles in comparison with fine particles. The highest rates of the daily recorded COVID-19 incidence and death cases in Tokyo during the seventh COVID-19 wave (1 July 2022-1 October 2022) may be attributed to accumulation near the ground of high levels of air pollutants and viral pathogens due to: 1) peculiar persistent atmospheric anticyclonic circulation with strong positive anomalies of geopotential height at 500 hPa; 2) lower levels of Planetary Boundary Layer (PBL) heights; 3) high daily maximum air temperature and land surface temperature due to the prolonged heat waves (HWs) in summer 2022; 4) no imposed restrictions. Such findings can guide public decision-makers to design proper strategies to curb pandemics under persistent stable anticyclonic weather conditions and summer HWs in large metropolitan areas.
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Affiliation(s)
- Maria A Zoran
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania.
| | - Roxana S Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
| | - Dan M Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
| | - Marina N Tautan
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
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18
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Jana A, Kundu S, Shaw S, Chakraborty S, Chattopadhyay A. Spatial shifting of COVID-19 clusters and disease association with environmental parameters in India: A time series analysis. ENVIRONMENTAL RESEARCH 2023; 222:115288. [PMID: 36682443 PMCID: PMC9850905 DOI: 10.1016/j.envres.2023.115288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 12/23/2022] [Accepted: 01/10/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND The viability and virulence of COVID-19 are complex in nature. Although the relationship between environmental parameters and COVID-19 is well studied across the globe, in India, such studies are limited. This research aims to explore long-term exposure to weather conditions and the role of air pollution on the infection spread and mortality due to COVID-19 in India. METHOD District-level COVID-19 data from April 26, 2020 to July 10, 2021 was used for the study. Environmental determinants such as land surface temperature, relative humidity (RH), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Ozone (O3), and Aerosol Optical Depth (AOD) were considered for analysis. The bivariate spatial association was used to explore the spatial relationship between Case Fatality Rate (CFR) and these environmental factors. Further, the Bayesian multivariate linear regression model was applied to observe the association between environmental factors and the CFR of COVID-19. RESULTS Spatial shifting of COVID-19 cases from Western to Southern and then Eastern parts of India were well observed. The infection rate was highly concentrated in most of the Western and Southern regions of India, while the CFR shows more concentration in Northern India along with Maharashtra. Four main spatial clusters of infection were recognized during the study period. The time-series analysis indicates significantly more CFR with higher AOD, O3, and NO2 in India. CONCLUSIONS COVID-19 is highly associated with environmental parameters and air pollution in India. The study provides evidence to warrant consideration of environmental parameters in health models to mediate potential solutions. Cleaner air is a must to mitigate COVID-19.
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Affiliation(s)
- Arup Jana
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sampurna Kundu
- Center of Social Medicine and Community Health, Jawaharlal Nehru University, Delhi, 110067, India.
| | - Subhojit Shaw
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sukanya Chakraborty
- IMPRS Neuroscience, Max Planck Institute of Multidisciplinary Sciences, University of Goettingen, Germany.
| | - Aparajita Chattopadhyay
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
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19
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Monoson A, Schott E, Ard K, Kilburg-Basnyat B, Tighe RM, Pannu S, Gowdy KM. Air pollution and respiratory infections: the past, present, and future. Toxicol Sci 2023; 192:3-14. [PMID: 36622042 PMCID: PMC10025881 DOI: 10.1093/toxsci/kfad003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Air pollution levels across the globe continue to rise despite government regulations. The increase in global air pollution levels drives detrimental human health effects, including 7 million premature deaths every year. Many of these deaths are attributable to increased incidence of respiratory infections. Considering the COVID-19 pandemic, an unprecedented public health crisis that has claimed the lives of over 6.5 million people globally, respiratory infections as a driver of human mortality is a pressing concern. Therefore, it is more important than ever to understand the relationship between air pollution and respiratory infections so that public health measures can be implemented to ameliorate further morbidity and mortality. This article aims to review the current epidemiologic and basic science research on interactions between air pollution exposure and respiratory infections. The first section will present epidemiologic studies organized by pathogen, followed by a review of basic science research investigating the mechanisms of infection, and then conclude with a discussion of areas that require future investigation.
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Affiliation(s)
- Alexys Monoson
- Department of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Evangeline Schott
- Department of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Kerry Ard
- School of Environment and Natural Resources, The Ohio State University, Columbus, Ohio 43210, USA
| | - Brita Kilburg-Basnyat
- Department of Pharmacology and Toxicology, East Carolina University, Greenville, North Carolina 27834, USA
| | - Robert M Tighe
- Department of Medicine, Duke University Medical Center, Durham, North Carolina 27710, USA
| | - Sonal Pannu
- Department of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Kymberly M Gowdy
- Department of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
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20
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Ulutaş K, Abujayyab SK, Abu Amr SS, Alkarkhi AF, Duman S. The effect of air quality parameters on new COVID-19 cases between two different climatic and geographical regions in Turkey. THEORETICAL AND APPLIED CLIMATOLOGY 2023; 152:801-812. [PMID: 37016660 PMCID: PMC9999067 DOI: 10.1007/s00704-023-04420-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/26/2023] [Indexed: 06/19/2023]
Abstract
Different health management strategies may need to be implemented in different regions to cope with diseases. The current work aims to evaluate the relationship between air quality parameters and the number of new COVID-19 cases in two different geographical locations, namely Western Anatolia and Western Black Sea in Turkey. Principal component analysis (PCA) and regression model were utilized to describe the effect of environmental parameters (air quality and meteorological parameters) on the number of new COVID-19 cases. A big difference in the mean values for all air quality parameters has appeared between the two areas. Two regression models were developed and showed a significant relationship between the number of new cases and the selected environmental parameters. The results showed that wind speed, SO2, CO, NOX, and O3 are not influential variable and does not affect the number of new cases of COVID-19 in the Western Black Sea area, while only wind speed, SO2, CO, NOX, and O3 are influential parameters on the number of new cases in Western Anatolia. Although the environmental parameters behave differently in each region, these results revealed that the relationship between the air quality parameters and the number of new cases is significant.
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Affiliation(s)
- Kadir Ulutaş
- Department of Health Management, İstanbul Medeniyet University, 34720 Istanbul, Turkey
- Department of Environmental Engineering, Karabük University, 78050 Karabuk, Turkey
| | - Sohaib K.M. Abujayyab
- International College of Engineering and Management, 111 St, Seeb, Muscat, Oman
- Department of Geography, Karabük University, 78050 Karabuk, Turkey
| | - Salem S. Abu Amr
- Department of Environmental Engineering, Karabük University, 78050 Karabuk, Turkey
- International College of Engineering and Management, 111 St, Seeb, Muscat, Oman
| | - Abbas F.M. Alkarkhi
- Business School, Universiti Kuala Lumpur (UniKL Bis), 50250 Kuala Lumpur, Malaysia
| | - Sibel Duman
- Department of Chemistry, Bingöl University, 12000 Bingol, Turkey
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21
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Chauhan A, Gupta SK, Liou YA. Rising surface ozone due to anthropogenic activities and its impact on COVID-19 related deaths in Delhi, India. Heliyon 2023; 9:e14975. [PMID: 37035357 PMCID: PMC10060016 DOI: 10.1016/j.heliyon.2023.e14975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 03/31/2023] Open
Abstract
The rapidity and global spread of the COVID-19 pandemic have left several vital questions in the research community requiring coordinated investigation and unique perspectives to explore the relationship between the spread of disease and air quality. Previous studies have focused mainly on the relation of particulate matter concentration with COVID-19-related mortalities. In contrast, surficial ozone has not been given much attention as surface ozone is a primary air pollutant and directly impacts the respiratory system of humans. Hence, we analyzed the relationship between surface ozone pollution and COVID-19-related mortalities. In this study, we have analyzed the variability of various atmospheric pollutants (particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone) in the National Capital Region (NCR) of India during 2020-2021 using station data and investigated the relationship of the air-quality parameters with the COVID-19 related deaths. In northern parts of India, the concentration of particulate matter (PM2.5 and PM10), Nitrogen dioxide (NO2), Carbon monoxide (CO), and Ozone remain high during the pre- and post-monsoon seasons due to dust loading and crop residue burning (after winter wheat in April & summer rice in November). The westerly wind brings the polluted airmass from western and northwestern parts to Delhi and National Capital Region during April-June and October-November, and meteorological conditions help raise the concentration of these pollutants. Due to long solar hours and high CO concentrations, the ozone concentration is higher from April to June and September. While comparing major air quality parameters with COVID-19-related deaths, we found a good relationship between surface ozone and COVID-19 mortality in Delhi. We also observed a time lag relationship between ozone concentration and mortality in Delhi, so the exposure to Ozone in a large population of Delhi may have augmented the rise of COVID-19-related deaths. The analysis suggested that ozone has a significant relationship with COVID-19 related mortality in Delhi in comparison to other parameters.
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Affiliation(s)
- Akshansha Chauhan
- Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan
| | - Sharad Kumar Gupta
- Advanced Geospatial Application Group, Punjab Remote Sensing Centre, Ludhiana, India
| | - Yuei-An Liou
- Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan
- Corresponding author.
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22
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Podury S, Kwon S, Javed U, Farooqi MS, Li Y, Liu M, Grunig G, Nolan A. Severe Acute Respiratory Syndrome and Particulate Matter Exposure: A Systematic Review. Life (Basel) 2023; 13:538. [PMID: 36836898 PMCID: PMC9962044 DOI: 10.3390/life13020538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Particulate matter (PM) exposure is responsible for seven million deaths annually and has been implicated in the pathogenesis of respiratory infections such as severe acute respiratory syndrome (SARS). Understanding modifiable risk factors of high mortality, resource burdensome C19 and exposure risks such as PM is key to mitigating their devastating effects. This systematic review focuses on the literature available, identifying the spatial and temporal variation in the role of quantified PM exposure in SARS disease outcome and planning our future experimental studies. METHODS The systematic review utilized keywords adhered to the PRISMA guidelines. We included original human research studies in English. RESULTS Initial search yielded N = 906, application of eligibility criteria yielded N = 46. Upon analysis of risk of bias N = 41 demonstrated high risk. Studies found a positive association between elevated PM2.5, PM10 and SARS-related outcomes. A geographic and temporal variation in both PM and C19's role was observed. CONCLUSION C19 is a high mortality and resource intensive disease which devastated the globe. PM exposure is also a global health crisis. Our systematic review focuses on the intersection of this impactful disease-exposure dyad and understanding the role of PM is important in the development of interventions to prevent future spread of viral infections.
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Affiliation(s)
- Sanjiti Podury
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Sophia Kwon
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Urooj Javed
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Muhammad S. Farooqi
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
| | - Yiwei Li
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (Y.L.); (M.L.)
| | - Mengling Liu
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (Y.L.); (M.L.)
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
| | - Gabriele Grunig
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
| | - Anna Nolan
- Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA; (S.P.); (S.K.); (U.J.); (M.S.F.)
- Department of Medicine, Division of Environmental Medicine, New York University Grossman School of Medicine (NYUGSoM), New York, NY 10016, USA;
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23
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Government-Enterprise Collusion and the Effectiveness of Environmental Regulations: Implications for Public Health. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2023; 2023:3958944. [PMID: 36816820 PMCID: PMC9935812 DOI: 10.1155/2023/3958944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/04/2022] [Accepted: 01/23/2023] [Indexed: 02/12/2023]
Abstract
Effective environmental management will create a win-win situation for building an ecological civilization with the potential to control the COVID-19 pandemic. From the perspective of government-enterprise collusion (GEC), this study analyzes the moderating effects of the officials' promotion incentives and turnover on the effectiveness of environmental regulations utilizing a panel dataset on 276 cities in China from 2003 to 2019. The study reveals the following empirical results: First, promotion incentives positively moderate the relationship between environmental regulations and environmental pollution, mainly air pollution; results for water pollution are not significant. Compared with general cities, the positive moderating effect of promotion incentives in high-level cities is weaker and the negative moderating effect is more potent. Additionally, the moderating effect of promotion incentives is predominantly positive in the new developmental stage from 2013 to 2019. Second, the negative moderating effect of officials' turnover on the effectiveness of environmental regulations is mainly observed for water pollution but not evident for air pollution. Compared with high-level cities, officials' turnover in general cities is more conducive to the effectiveness of environmental regulations. These findings provide beneficial insights for promoting green growth by improving official governance and destroying GEC.
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Singh BP, Sohrab SS, Athar M, Alandijany TA, Kumari S, Nair A, Kumari S, Mehra K, Chowdhary K, Rahman S, Azhar EI. Substantial Changes in Selected Volatile Organic Compounds (VOCs) and Associations with Health Risk Assessments in Industrial Areas during the COVID-19 Pandemic. TOXICS 2023; 11:165. [PMID: 36851040 PMCID: PMC9963041 DOI: 10.3390/toxics11020165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
During the COVID-19 pandemic, governments in many countries worldwide, including India, imposed several restriction measures, including lockdowns, to prevent the spread of the infection. COVID-19 lockdowns led to a reduction in gaseous and particulate pollutants in ambient air. In the present study, we investigated the substantial changes in selected volatile organic compounds (VOCs) after the outbreak of the coronavirus pandemic and associations with health risk assessments in industrial areas. VOC data from 1 January 2019 to 31 December 2021 were collected from the Central Pollution Control Board (CPCB) website, to identify percentage changes in VOC levels before, during, and after COVID-19. The mean TVOC levels at all monitoring stations were 47.22 ± 30.15, 37.19 ± 37.19, and 32.81 ± 32.81 µg/m3 for 2019, 2020, and 2021, respectively. As a result, the TVOC levels gradually declined in consecutive years due to the pandemic in India. The mean TVOC levels at all monitoring stations declined from 9 to 61% during the pandemic period as compared with the pre-pandemic period. In the current study, the T/B ratio values ranged from 2.16 (PG) to 26.38 (NL), which indicated that the major pollutant contributors were traffic and non-traffic sources during the pre-pandemic period. The present findings indicated that TVOC levels had positive but low correlations with SR, BP, RF, and WD, with correlation coefficients (r) of 0.034, 0.118, 0.012, and 0.007, respectively, whereas negative correlations were observed with AT and WS, with correlation coefficients (r) of -0.168 and -0.150, respectively. The lifetime cancer risk (LCR) value for benzene was reported to be higher in children, followed by females and males, for the pre-pandemic, pandemic, and post-pandemic periods. A nationwide scale-up of this study's findings might be useful in formulating future air pollution reduction policies associated with a reduction in health risk factors. Furthermore, the present study provides baseline data for future studies on the impacts of anthropogenic activities on the air quality of a region.
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Affiliation(s)
- Bhupendra Pratap Singh
- Department of Environmental Studies, Deshbadhu College, University of Delhi, New Delhi 110019, India
- Delhi School of Climate Change and Sustainability (Institute of Eminence), University of Delhi, New Delhi 110007, India
| | - Sayed Sartaj Sohrab
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Mohammad Athar
- Science and Technology Unit, Umm Al-Qura University, Makkah 21955, Saudi Arabia
- Department of Medical Genetics, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Thamir A. Alandijany
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Saumya Kumari
- Department of Zoology, Deshbandhu College, University of Delhi, New Delhi 110019, India
| | - Arathi Nair
- Department of Zoology, Deshbandhu College, University of Delhi, New Delhi 110019, India
| | - Sweety Kumari
- Department of Zoology, Deshbandhu College, University of Delhi, New Delhi 110019, India
| | - Kriti Mehra
- Department of Life Science, Deshbadhu College, University of Delhi, New Delhi 110019, India
| | - Khyati Chowdhary
- Department of Life Science, Deshbadhu College, University of Delhi, New Delhi 110019, India
| | - Shakilur Rahman
- Department of Medical Elementology and Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110019, India
| | - Esam Ibraheem Azhar
- Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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25
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Rawat N, Kumar P. Interventions for improving indoor and outdoor air quality in and around schools. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159813. [PMID: 36411671 DOI: 10.1016/j.scitotenv.2022.159813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
Students spend nearly one third of their typical day in the school environment, where they may be exposed to harmful air pollutants. A consolidated knowledge base of interventions to reduce this exposure is required for making informed decisions on their implementation and wider uptake. We attempt to fill this knowledge gap by synthesising the existing scientific literature on different school-based air pollution exposure interventions, their efficiency, suitability, and limitations. We assessed technological (air purifiers, HVAC - Heating Ventilation and Air Conditioning etc.), behavioural, physical barriers, structural, school-commute and policy and regulatory interventions. Studies suggest that the removal efficiency of air purifiers for PM2.5, PM10, PM1 and BC can be up to 57 %, 34 %, 70 % and 58 %, respectively, depending on the air purification technology compared with control levels in classroom. The HVAC system combined with high efficiency filters has BC, PM10 and PM2.5 removal efficiency up to 97 %, 34 % and 30 %, respectively. Citizen science campaigns are effective in reducing the indoor air pollutants' exposure up to 94 %. The concentration of PM10, NO2, O3, BC and PNC can be reduced by up to 60 %, 59 %, 16 %, 63 % and 77 %, respectively as compared to control conditions, by installing green infrastructure (GI) as a physical barrier. School commute interventions can reduce NO2 concentration by up to 23 %. The in-cabin concentration reduction of up to 77 % for PM2.5, 43 % for PNC, 89 % for BC, 74 % for PM10 and 75 % for NO2, along with 94 % reduction in tailpipe emission of total particles, can be achieved using clean fuels and retrofits. No stand-alone method is found as the absolute solution for controlling pollutants exposure, their combined application can be effective in most of the scenarios. More research is needed on assessing combined interventions, and their operational synchronisation for getting the optimum results.
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Affiliation(s)
- Nidhi Rawat
- Global Centre for Clean Air Research (GCARE), School of Sustainability, Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Prashant Kumar
- Global Centre for Clean Air Research (GCARE), School of Sustainability, Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, United Kingdom.
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26
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Naqvi HR, Mutreja G, Shakeel A, Singh K, Abbas K, Naqvi DF, Chaudhary AA, Siddiqui MA, Gautam AS, Gautam S, Naqvi AR. Wildfire-induced pollution and its short-term impact on COVID-19 cases and mortality in California. GONDWANA RESEARCH : INTERNATIONAL GEOSCIENCE JOURNAL 2023; 114:30-39. [PMID: 35529075 PMCID: PMC9066963 DOI: 10.1016/j.gr.2022.04.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 04/10/2022] [Accepted: 04/12/2022] [Indexed: 05/21/2023]
Abstract
Globally, wildfires have seen remarkable increase in duration and size and have become a health hazard. In addition to vegetation and habitat destruction, rapid release of smoke, dust and gaseous pollutants in the atmosphere contributes to its short and long-term detrimental effects. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has emerged as a public health concern worldwide that primarily target lungs and respiratory tract, akin to air pollutants. Studies from our lab and others have demonstrated association between air pollution and COVID-19 infection and mortality rates. However, current knowledge on the impact of wildfire-mediated sudden outburst of air pollutants on COVID-19 is limited. In this study, we examined the association of air pollutants and COVID-19 during wildfires burned during August-October 2020 in California, United States. We observed an increase in the tropospheric pollutants including aerosols (particulate matter [PM]), carbon monoxide (CO) and nitrogen dioxide (NO2) by approximately 150%, 100% and 20%, respectively, in 2020 compared to the 2019. Except ozone (O3), similar proportion of increment was noticed during the peak wildfire period (August 16 - September 15, 2020) in the ground PM2.5, CO, and NO2 levels at Fresno, Los Angeles, Sacramento, San Diego and San Francisco, cities with largest active wildfire area. We identified three different spikes in the concentrations of PM2.5, and CO for the cities examined clearly suggesting wildfire-induced surge in air pollution. Fresno and Sacramento showed increment in the ground PM2.5, CO and NO2 levels, while San Diego recorded highest change rate in NO2 levels. Interestingly, we observed a similar pattern of higher COVID-19 cases and mortalities in the cities with adverse air pollution caused by wildfires. These findings provide a logical rationale to strategize public health policies for future impact of COVID-19 on humans residing in geographic locations susceptible to sudden increase in local air pollution.
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Affiliation(s)
- Hasan Raja Naqvi
- Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Guneet Mutreja
- Environmental Systems Research Institute, R & D Center, New Delhi, India
| | - Adnan Shakeel
- Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Karan Singh
- Department of Physics, HNB Garhwal University, Srinagar, Garhwal, Uttarakhand, India
| | - Kumail Abbas
- Department of Mechanical Engineering, Meerut Institute of Engineering and Technology, Meerut 250005, India
| | | | - Anis Ahmad Chaudhary
- Department of Biology, College of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh 13317-7544, Saudi Arabia
| | - Masood Ahsan Siddiqui
- Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi 110025, India
| | - Alok Sagar Gautam
- Department of Physics, HNB Garhwal University, Srinagar, Garhwal, Uttarakhand, India
| | - Sneha Gautam
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore, Tamil Nadu 641114, India
| | - Afsar Raza Naqvi
- Department of Periodontics, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
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27
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The COVID-19 Mortality Rate Is Associated with Illiteracy, Age, and Air Pollution in Urban Neighborhoods: A Spatiotemporal Cross-Sectional Analysis. Trop Med Infect Dis 2023; 8:tropicalmed8020085. [PMID: 36828501 PMCID: PMC9962969 DOI: 10.3390/tropicalmed8020085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
There are different area-based factors affecting the COVID-19 mortality rate in urban areas. This research aims to examine COVID-19 mortality rates and their geographical association with various socioeconomic and ecological determinants in 350 of Tehran's neighborhoods as a big city. All deaths related to COVID-19 are included from December 2019 to July 2021. Spatial techniques, such as Kulldorff's SatScan, geographically weighted regression (GWR), and multi-scale GWR (MGWR), were used to investigate the spatially varying correlations between COVID-19 mortality rates and predictors, including air pollutant factors, socioeconomic status, built environment factors, and public transportation infrastructure. The city's downtown and northern areas were found to be significantly clustered in terms of spatial and temporal high-risk areas for COVID-19 mortality. The MGWR regression model outperformed the OLS and GWR regression models with an adjusted R2 of 0.67. Furthermore, the mortality rate was found to be associated with air quality (e.g., NO2, PM10, and O3); as air pollution increased, so did mortality. Additionally, the aging and illiteracy rates of urban neighborhoods were positively associated with COVID-19 mortality rates. Our approach in this study could be implemented to study potential associations of area-based factors with other emerging infectious diseases worldwide.
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28
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Mathys T, Souza FTD, Barcellos DDS, Molderez I. The relationship among air pollution, meteorological factors and COVID-19 in the Brussels Capital Region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:158933. [PMID: 36179850 PMCID: PMC9514957 DOI: 10.1016/j.scitotenv.2022.158933] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/06/2022] [Accepted: 09/18/2022] [Indexed: 06/01/2023]
Abstract
In great metropoles, there is a need for a better understanding of the spread of COVID-19 in an outdoor context with environmental parameters. Many studies on this topic have been carried out worldwide. However, there is conflicting evidence regarding the influence of environmental variables on the transmission, hospitalizations and deaths from COVID-19, even though there are plausible scientific explanations that support this, especially air quality and meteorological factors. Different urban contexts, methodological approaches and even the limitations of ecological studies are some possible explanations for this issue. That is why methodological experimentations in different regions of the world are important so that scientific knowledge can advance in this aspect. This research analyses the relationship between air pollution, meteorological factors and COVID-19 in the Brussels Capital Region. We use a data mining approach that is capable of extracting patterns in large databases with diverse taxonomies. Data on air pollution, meteorological, and epidemiological variables were processed in time series for the multivariate analysis and the classification based on association. The environmental variables associated with COVID-19-related deaths, cases and hospitalization were PM2.5, O3, NO2, black carbon, radiation, air pressure, wind speed, dew point, temperature and precipitation. These environmental variables combined with epidemiological factors were able to predict intervals of hospitalization, cases and deaths from COVID-19. These findings confirm the influence of meteorological and air quality variables in the Brussels region on deaths and cases of COVID-19 and can guide public policies and provide useful insights for high-level governmental decision-making concerning COVID-19. However, it is necessary to consider intrinsic elements of this study that may have influenced our results, such as the use of air quality aggregated data, ecological fallacy, focus on acute effects in the time-series study, the underreporting of COVID-19, and the lack of behavioral factors.
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Affiliation(s)
- Timo Mathys
- Centre for Economics and Corporate Sustainability (CEDON), KU Leuven, Warmoesberg 26, Brussels, Belgium.
| | - Fábio Teodoro de Souza
- Centre for Economics and Corporate Sustainability (CEDON), KU Leuven, Warmoesberg 26, Brussels, Belgium; Graduate Program in Urban Management (PPGTU), Pontifical Catholic University of Paraná (PUCPR), 1155 Imaculada Conceição St, Curitiba, Parana, Brazil.
| | - Demian da Silveira Barcellos
- Graduate Program in Urban Management (PPGTU), Pontifical Catholic University of Paraná (PUCPR), 1155 Imaculada Conceição St, Curitiba, Parana, Brazil.
| | - Ingrid Molderez
- Centre for Economics and Corporate Sustainability (CEDON), KU Leuven, Warmoesberg 26, Brussels, Belgium.
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29
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Parvin R. A Statistical Investigation into the COVID-19 Outbreak Spread. ENVIRONMENTAL HEALTH INSIGHTS 2023; 17:11786302221147455. [PMID: 36699646 PMCID: PMC9868487 DOI: 10.1177/11786302221147455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Coronavirus-19 (COVID-19) outbreaks have been reported in a range of climates worldwide, including Bangladesh. There is less evidence of a link between the COVID-19 pandemic and climatic variables. This research article's purpose is to examine the relationship between COVID-19 outbreaks and climatic factors in Dhaka, Bangladesh. METHODS The daily time series COVID-19 data used in this study span from May 1, 2020, to April 14, 2021, for the study area, Dhaka, Bangladesh. The Climatic factors included in this study were average temperature, particulate matter ( P M 2 . 5 ), humidity, carbon emissions, and wind speed within the same timeframe and location. The strength and direction of the relationship between meteorological factors and COVID-19 positive cases are examined using the Spearman correlation. This study examines the asymmetric effect of climatic factors on the COVID-19 pandemic in Dhaka, Bangladesh, using the Nonlinear Autoregressive Distributed Lag (NARDL) model. RESULTS COVID-19 widespread has a substantial positive association with wind speed (r = .781), temperature (r = .599), and carbon emissions (r = .309), whereas P M 2 . 5 (r = -.178) has a negative relationship at the 1% level of significance. Furthermore, with a 1% change in temperature, the incidence of COVID-19 increased by 1.23% in the short run and 1.53% in the long run, with the remaining variables remaining constant. Similarly, in the short-term, humidity was not significantly related to the COVID-19 pandemic. However, in the long term, it increased 1.13% because of a 1% change in humidity. The changes in PM2.5 level and wind speed are significantly associated with COVID-19 new cases after adjusting population density and the human development index.
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Affiliation(s)
- Rehana Parvin
- Rehana Parvin, Department of Statistics, International University of Business Agriculture and Technology (IUBAT), 4 Embankment Drive Road, Sector 10, Uttara, Dhaka, Bangladesh.
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30
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Singh B, Pandey P, Wabaidur SM, Avtar R, Kumar P, Rahman S. Substantial changes in Gaseous pollutants and health effects during COVID-19 in Delhi, India. PeerJ 2023; 11:e14489. [PMID: 36643637 PMCID: PMC9835704 DOI: 10.7717/peerj.14489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 11/09/2022] [Indexed: 01/10/2023] Open
Abstract
Background Coronavirus disease has affected the entire population worldwide in terms of physical and environmental consequences. Therefore, the current study demonstrates the changes in the concentration of gaseous pollutants and their health effects during the COVID-19 pandemic in Delhi, the national capital city of India. Methodology In the present study, secondary data on gaseous pollutants such as nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), ammonia (NH3), and ozone (O3) were collected from the Central Pollution Control Board (CPCB) on a daily basis. Data were collected from January 1, 2020, to September 30, 2020, to determine the relative changes (%) in gaseous pollutants for pre-lockdown, lockdown, and unlockdown stages of COVID-19. Results The current findings for gaseous pollutants reveal that concentration declined in the range of 51%-83% (NO), 40%-69% (NOx), 31%-60% (NO2), and 25%-40% (NH3) during the lockdown compared to pre-lockdown period, respectively. The drastic decrease in gaseous pollutants was observed due to restricted measures during lockdown periods. The level of ozone was observed to be higher during the lockdown periods as compared to the pre-lockdown period. These gaseous pollutants are linked between the health risk assessment and hazard identification for non-carcinogenic. However, in infants (0-1 yr), Health Quotient (HQ) for daily and annual groups was found to be higher than the rest of the exposed group (toddlers, children, and adults) in all the periods. Conclusion The air quality values for pre-lockdown were calculated to be "poor category to "very poor" category in all zones of Delhi, whereas, during the lockdown period, the air quality levels for all zones were calculated as "satisfactory," except for Northeast Delhi, which displayed the "moderate" category. The computed HQ for daily chronic exposure for each pollutant across the child and adult groups was more than 1 (HQ > 1), which indicated a high probability to induce adverse health outcomes.
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Affiliation(s)
- Bhupendra Singh
- Delhi School of Climate Change and Sustainability (Institute of Eminence), University of Delhi, New Delhi, Delhi, India,Deshbandhu College, Department of Environmental Science, University of Delhi, New Delhi, Delhi, India
| | - Puneeta Pandey
- Department of Environmental Sciences and Technology, Central University of Punjab Bathinda, Bathinda, Punjab, India
| | | | - Ram Avtar
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan, Sapporo, Japan
| | - Pramod Kumar
- Department of Chemistry, Sri Aurobindo College, University of Delhi, New Delhi, Delhi, India
| | - Shakilur Rahman
- Department of Medical Elementology and Toxicology, Jamia Hamdard, New Delhi, India
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Jerrett M, Nau CL, Young DR, Butler RK, Batteate CM, Su J, Burnett RT, Kleeman MJ. Air pollution and meteorology as risk factors for COVID-19 death in a cohort from Southern California. ENVIRONMENT INTERNATIONAL 2023; 171:107675. [PMID: 36565571 PMCID: PMC9715495 DOI: 10.1016/j.envint.2022.107675] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/18/2022] [Accepted: 12/01/2022] [Indexed: 05/19/2023]
Abstract
BACKGROUND Recent evidence links ambient air pollution to COVID-19 incidence, severity, and death, but few studies have analyzed individual-level mortality data with high quality exposure models. METHODS We sought to assess whether higher air pollution exposures led to greater risk of death during or after hospitalization in confirmed COVID-19 cases among patients who were members of the Kaiser Permanente Southern California (KPSC) healthcare system (N=21,415 between 06-01-2020 and 01-31-2022 of whom 99.85 % were unvaccinated during the study period). We used 1 km resolution chemical transport models to estimate ambient concentrations of several common air pollutants, including ozone, nitrogen dioxide, and fine particle matter (PM2.5). We also derived estimates of pollutant exposures from ultra-fine particulate matter (PM0.1), PM chemical species, and PM sources. We employed Cox proportional hazards models to assess associations between air pollution exposures and death from COVID-19 among hospitalized patients. FINDINGS We found significant associations between COVID-19 death and several air pollution exposures, including: PM2.5 mass, PM0.1 mass, PM2.5 nitrates, PM2.5 elemental carbon, PM2.5 on-road diesel, and PM2.5 on-road gasoline. Based on the interquartile (IQR) exposure increment, effect sizes ranged from hazard ratios (HR) = 1.12 for PM2.5 mass and PM2.5 nitrate to HR ∼ 1.06-1.07 for other species or source markers. Humidity and temperature in the month of diagnosis were also significant negative predictors of COVID-19 death and negative modifiers of the air pollution effects. INTERPRETATION Air pollution exposures and meteorology were associated the risk of COVID-19 death in a cohort of patients from Southern California. These findings have implications for prevention of death from COVID-19 and for future pandemics.
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Affiliation(s)
- Michael Jerrett
- Department of Environmental Health Sciences, University of California, Los Angeles 650 Charles Young Dr. S., 56-070 CHS Box 951772, Los Angeles, CA, 90095, United States.
| | - Claudia L Nau
- Department of Research & Evaluation, Kaiser Permanente Southern California 100 S. Los Robles Ave., 5th Floor, Pasadena, CA 91101, United States
| | - Deborah R Young
- Department of Research & Evaluation, Kaiser Permanente Southern California 100 S. Los Robles Ave., 5th Floor, Pasadena, CA 91101, United States
| | - Rebecca K Butler
- Department of Research & Evaluation, Kaiser Permanente Southern California 100 S. Los Robles Ave., 5th Floor, Pasadena, CA 91101, United States
| | - Christina M Batteate
- Department of Environmental Health Sciences, University of California, Los Angeles 650 Charles Young Dr. S., 56-070 CHS Box 951772, Los Angeles, CA, 90095, United States
| | - Jason Su
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley 2121 Berkeley Way, Room 5302, Berkeley, CA 94720, United States
| | - Richard T Burnett
- Population Studies Division, Environmental Health Directorate, Health Canada 251 Sir Frederick Banting Driveway, Ottawa, Ontario K1A 0K9, Canada
| | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California, Davis 1 Sheilds Avenue, Davis, CA 95616, United States
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Moazeni M, Rahimi M, Ebrahimi A. What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update. Adv Biomed Res 2023; 12:33. [PMID: 37057247 PMCID: PMC10086649 DOI: 10.4103/abr.abr_145_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 01/05/2022] [Accepted: 01/19/2022] [Indexed: 04/15/2023] Open
Abstract
The climatological parameters can be different in various geographical locations. Moreover, they have possible impacts on COVID-19 incidence. Therefore, the purpose of this systematic review article was to describe the effects of climatic variables on COVID-19 pandemic in different countries. Systematic literature search was performed in Scopus, ISI Web of Science, and PubMed databases using ("Climate" OR "Climate Change" OR "Global Warming" OR "Global Climate Change" OR "Meteorological Parameters" OR "Temperature" OR "Precipitation" OR "Relative Humidity" OR "Wind Speed" OR "Sunshine" OR "Climate Extremes" OR "Weather Extremes") AND ("COVID" OR "Coronavirus disease 2019" OR "COVID-19" OR "SARS-CoV-2" OR "Novel Coronavirus") keywords. From 5229 articles, 424 were screened and 149 were selected for further analysis. The relationship between meteorological parameters is variable in different geographical locations. The results indicate that among the climatic indicators, the temperature is the most significant factor that influences on COVID-19 pandemic in most countries. Some studies were proved that warm and wet climates can decrease COVID-19 incidence; however, the other studies represented that warm location can be a high risk of COVID-19 incidence. It could be suggested that all climate variables such as temperature, humidity, rainfall, precipitation, solar radiation, ultraviolet index, and wind speed could cause spread of COVID-19. Thus, it is recommended that future studies will survey the role of all meteorological variables and interaction between them on COVID-19 spread in specific small areas such as cities of each country and comparison between them.
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Affiliation(s)
- Malihe Moazeni
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
- Student Research Committee, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Rahimi
- Department of Combat Desertification, Faculty of Desert Studies, Semnan University, Semnan, Iran
| | - Afshin Ebrahimi
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
- Environment Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
- Address for correspondence: Dr. Afshin Ebrahimi, Department of Environmental Health Engineering, School of Health, Hezar-Jerib Ave., Isfahan University of Medical Sciences, Isfahan, 81676 − 36954, Iran. E-mail:
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Bonilla JA, Lopez-Feldman A, Pereda PC, Rivera NM, Ruiz-Tagle JC. Association between long-term air pollution exposure and COVID-19 mortality in Latin America. PLoS One 2023; 18:e0280355. [PMID: 36649353 PMCID: PMC9844883 DOI: 10.1371/journal.pone.0280355] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 12/27/2022] [Indexed: 01/18/2023] Open
Abstract
Recent studies have shown a relationship between air pollution and increased vulnerability and mortality due to COVID-19. Most of these studies have looked at developed countries. This study examines the relationship between long-term exposure to air pollution and COVID-19-related deaths in four countries of Latin America that have been highly affected by the pandemic: Brazil, Chile, Colombia, and Mexico. Our results suggest that an increase in long-term exposure of 1 μg/m3 of fine particles is associated with a 2.7 percent increase in the COVID-19 mortality rate. This relationship is found primarily in municipalities of metropolitan areas, where urban air pollution sources dominate, and air quality guidelines are usually exceeded. By focusing the analysis on Latin America, we provide a first glimpse on the role of air pollution as a risk factor for COVID-19 mortality within a context characterized by weak environmental institutions, limited health care capacity and high levels of inequality.
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Affiliation(s)
- Jorge A. Bonilla
- Department of Economics, Universidad de Los Andes, Bogota, Colombia
| | - Alejandro Lopez-Feldman
- Environment for Development, University of Gothenburg, Göteborg, Sweden
- Department of Economics, Centro de Investigacion y Docencia Economicas, Mexico City, Mexico
- * E-mail:
| | - Paula C. Pereda
- Department of Economics, University of São Paulo, São Paulo, Brazil
| | | | - J. Cristobal Ruiz-Tagle
- Department of Geography & Environment, London School of Economics and Political Science, London, United Kingdom
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Beloconi A, Vounatsou P. Long-term air pollution exposure and COVID-19 case-severity: An analysis of individual-level data from Switzerland. ENVIRONMENTAL RESEARCH 2023; 216:114481. [PMID: 36206929 PMCID: PMC9531360 DOI: 10.1016/j.envres.2022.114481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 05/05/2023]
Abstract
Several studies are pointing out that exposure to elevated air pollutants could contribute to increased COVID-19 mortality. However, literature on the associations between air pollution exposure and COVID-19 severe morbidity is rather sparse. In addition, the majority of the studies used an ecological study design and were applied in regions with rather high air pollution levels. Here, we study the differential effects of long-term exposure to air pollution on severe morbidity and mortality risks from COVID-19 in various population subgroups in Switzerland, a country known for clean air. We perform individual-level analyses using data covering the first two major waves of COVID-19 between February 2020 and May 2021. High-resolution maps of particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations were produced for the 6 years preceding the pandemic using Bayesian geostatistical models. Air pollution exposure for each patient was measured by the long-term average concentration across the municipality of residence. The models were adjusted for the effects of individual characteristics, socio-economic, health-system, and climatic factors. The variables with an important association to COVID-19 case-severity were identified using Bayesian spatial variable selection. The results have shown that the individual-level characteristics are important factors related to COVID-19 morbidity and mortality in all the models. Long-term exposure to air pollution appears to influence the severity of the disease only when analyzing data during the first wave; this effect is attenuated upon adjustment for health-system related factors during the entire study period. Our findings suggest that the burden of air pollution increased the risks of COVID-19 in Switzerland during the first wave of the pandemic, but not during the second wave, when the national health system was better prepared.
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Affiliation(s)
- Anton Beloconi
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Penelope Vounatsou
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
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35
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Boto-García D. Investigating the two-way relationship between mobility flows and COVID-19 cases. ECONOMIC MODELLING 2023; 118:106083. [PMID: 36281432 PMCID: PMC9581521 DOI: 10.1016/j.econmod.2022.106083] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 09/06/2022] [Accepted: 10/16/2022] [Indexed: 06/09/2023]
Abstract
Following a pandemic disease outbreak, people travel to areas with low infection risk, but at the same time the epidemiological situation worsens as mobility flows to those areas increase. These feedback effects from epidemiological conditions to inflows and from inflows to subsequent infections are underexplored to date. This study investigates the two-way relationship between mobility flows and COVID-19 cases in a context of unrestricted mobility without COVID-19 vaccines. To this end, we merge data on COVID-19 cases in Spain during the summer of 2020 at the province level with mobility records based on mobile position tracking. Using a control function approach, we find that a 1% increase in arrivals translates into a 3.5% increase in cases in the following week and 5.6% ten days later. A simulation exercise shows the cases would have dropped by around 64% if the Second State of Alarm had been implemented earlier.
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Affiliation(s)
- David Boto-García
- Oviedo Efficiency Group, Department of Economics, University of Oviedo, Avenida Del Cristo S/n, 33006, Oviedo, Asturias, Spain
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36
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Kolluru SSR, Nagendra SMS, Patra AK, Gautam S, Alshetty VD, Kumar P. Did unprecedented air pollution levels cause spike in Delhi's COVID cases during second wave? STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT : RESEARCH JOURNAL 2023; 37:795-810. [PMID: 36164666 PMCID: PMC9493175 DOI: 10.1007/s00477-022-02308-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/30/2022] [Indexed: 05/05/2023]
Abstract
The onset of the second wave of COVID-19 devastated many countries worldwide. Compared with the first wave, the second wave was more aggressive regarding infections and deaths. Numerous studies were conducted on the association of air pollutants and meteorological parameters during the first wave of COVID-19. However, little is known about their associations during the severe second wave of COVID-19. The present study is based on the air quality in Delhi during the second wave. Pollutant concentrations decreased during the lockdown period compared to pre-lockdown period (PM2.5: 67 µg m-3 (lockdown) versus 81 µg m-3 (pre-lockdown); PM10: 171 µg m-3 versus 235 µg m-3; CO: 0.9 mg m-3 versus 1.1 mg m-3) except ozone which increased during the lockdown period (57 µg m-3 versus 39 µg m-3). The variation in pollutant concentrations revealed that PM2.5, PM10 and CO were higher during the pre-COVID-19 period, followed by the second wave lockdown and the lowest in the first wave lockdown. These variations are corroborated by the spatiotemporal variability of the pollutants mapped using ArcGIS. During the lockdown period, the pollutants and meteorological variables explained 85% and 52% variability in COVID-19 confirmed cases and deaths (determined by General Linear Model). The results suggests that air pollution combined with meteorology acted as a driving force for the phenomenal growth of COVID-19 during the second wave. In addition to developing new drugs and vaccines, governments should focus on prediction models to better understand the effect of air pollution levels on COVID-19 cases. Policy and decision-makers can use the results from this study to implement the necessary guidelines for reducing air pollution. Also, the information presented here can help the public make informed decisions to improve the environment and human health significantly.
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Affiliation(s)
| | - S. M. Shiva Nagendra
- Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India
| | - Aditya Kumar Patra
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India
| | - Sneha Gautam
- Department of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu India
| | - V. Dheeraj Alshetty
- Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India
| | - Prashant Kumar
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH Surrey UK
- Department of Civil, Structural & Environmental Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland
- School of Architecture, Southeast University, 2 Sipailou, Nanjing, 210096 China
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37
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Choi S, Kim EM, Kim SY, Choi Y, Choi S, Cho N, Park HJ, Kim KK. Particulate matter exposure exacerbates cellular damage by increasing stress granule formation in respiratory syncytial virus-infected human lung organoids. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120439. [PMID: 36257563 DOI: 10.1016/j.envpol.2022.120439] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 07/10/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
Exposure to atmospheric particulate matter (PM) increases morbidity and mortality in respiratory diseases by causing various adverse health effects; however, the effects of PM exposure on cellular stress under virus-infected conditions remain unclear. The effects of PM under 10 μm (PM10) and diesel PM (DPM) on respiratory syncytial virus (RSV) infection were investigated in human two-dimensional lung epithelial cells and human three-dimensional lung organoids mimicking the lung tissue. We evaluated the formation of stress granules, which are important in cellular adaptation to various stress conditions. Furthermore, we investigated the effects of repeated exposure to PM10 and DPM on DNA damage and cell death during viral infection. PM10 and DPM did not cause stress granule formation in the absence of RSV infection but drastically increased stress granule formation and signal transduction during RSV infection in human lung epithelial cells and human lung organoids. Further, repeated exposure to PM10 and DPM caused cell death by severely damaging DNA under RSV infection conditions. Thus, PM10 and DPM induce severe lung toxicity under stress conditions, such as viral infection, suggesting that the effects of PMs under various stressful conditions should be examined to accurately predict the lung toxicity of PM.
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Affiliation(s)
- Sunkyung Choi
- Department of Biochemistry, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Eun-Mi Kim
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, 34114, Republic of Korea
| | - Seung-Yeon Kim
- Department of Biochemistry, Chungnam National University, Daejeon, 34134, Republic of Korea; Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, 34114, Republic of Korea
| | - Yeongsoo Choi
- Department of Biochemistry, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Seri Choi
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, 34114, Republic of Korea
| | - Namjoon Cho
- Department of Biochemistry, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Han-Jin Park
- Department of Predictive Toxicology, Korea Institute of Toxicology, Daejeon, 34114, Republic of Korea
| | - Kee K Kim
- Department of Biochemistry, Chungnam National University, Daejeon, 34134, Republic of Korea.
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Khaniabadi YO, Sicard P, Dehghan B, Mousavi H, Saeidimehr S, Farsani MH, Monfared SM, Maleki H, Moghadam H, Birgani PM. COVID-19 Outbreak Related to PM 10, PM 2.5, Air Temperature and Relative Humidity in Ahvaz, Iran. DR. SULAIMAN AL HABIB MEDICAL JOURNAL 2022. [PMCID: PMC9713103 DOI: 10.1007/s44229-022-00020-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
In this study, we assessed several points related to the incidence of COVID-19 between March 2020 and March 2021 in the Petroleum Hospital of Ahvaz (Iran) by analyzing COVID-19 data from patients referred to the hospital. We found that 57.5% of infected referrals were male, 61.7% of deaths by COVID-19 occurred in subjects over 65 years of age, and only 2.4% of deaths occurred in younger subjects (< 30 years old). Analysis showed that mean PM10 and PM2.5 concentrations were correlated to the incidence of COVID-19 (r = 0.547, P < 0.05, and r = 0.609, P < 0.05, respectively) and positive chest CT scans (r = 0.597, P < 0.05, and r = 0.541, P < 0.05 respectively). We observed that a high daily air temperature (30–51 °C) and a high relative humidity (60–97%) led to a significant reduction in the daily incidence of COVID-19. The highest number of positive chest CT scans were obtained in June 2020 and March 2021 for daily air temperature ranging from 38 °C and 49 °C and 11 °C and 15 °C, respectively. A negative correlation was detected between COVID-19 cases and air temperature (r = − 0.320, P < 0.05) and relative humidity (r = − 0.384, P < 0.05). In Ahvaz, a daily air temperature of 10–28 °C and relative humidity of 19–40% are suitable for the spread of coronavirus. The highest correlation with the number of COVID-19 cases was found at lag3 (r = 0.42) and at lag0 with a positive chest CT scan (r = 0.56). For air temperature and relative humidity, the highest correlations were found at day 0 (lag0). During lockdown (22 March to 21 April 2020), a reduction was observed for PM10 (29.6%), PM2.5 (36.9%) and the Air Quality Index (33.3%) when compared to the previous month. During the pandemic period (2020–2021), the annual mean concentrations of PM10 (27.3%) and PM2.5 (17.8%) were reduced compared to the 2015–2019 period.
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Affiliation(s)
- Yusef Omidi Khaniabadi
- Occupational and Environmental Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | | | - Bahram Dehghan
- Family Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | - Hassan Mousavi
- Family Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran ,grid.411230.50000 0000 9296 6873School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Saeid Saeidimehr
- Family Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | - Mohammad Heidari Farsani
- Occupational and Environmental Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | - Sadegh Moghimi Monfared
- grid.419140.90000 0001 0690 0331Gachsaran Oil and Gas Production Company, National Iranian Oil Company, Gachsaran, Iran
| | - Heydar Maleki
- grid.411230.50000 0000 9296 6873Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hojat Moghadam
- Occupational and Environmental Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
| | - Pouran Moulaei Birgani
- Family Health Research Center, Petroleum Industry Health Organization (PIHO), Ahvaz, Iran
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Naffeti B, Bourdin S, Ben Aribi W, Kebir A, Ben Miled S. Spatio-temporal evolution of the COVID-19 across African countries. Front Public Health 2022; 10:1039925. [PMID: 36518575 PMCID: PMC9742427 DOI: 10.3389/fpubh.2022.1039925] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/08/2022] [Indexed: 11/29/2022] Open
Abstract
The aim of this study is to make a comparative study on the reproduction number R 0 computed at the beginning of each wave for African countries and to understand the reasons for the disparities between them. The study covers the two first years of the COVID-19 pandemic and for 30 African countries. It links pandemic variables, reproduction number R 0, demographic variable, median age of the population, economic variables, GDP and CHE per capita, and climatic variables, mean temperature at the beginning of each waves. The results show that the diffusion of COVID-19 in Africa was heterogeneous even between geographical proximal countries. The difference of the basic reproduction number R 0 values is very large between countries and is significantly correlated with economic and climatic variables GDP and temperature and to a less extent with the mean age of the population.
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Affiliation(s)
- Bechir Naffeti
- Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia,*Correspondence: Bechir Naffeti
| | | | - Walid Ben Aribi
- Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia
| | - Amira Kebir
- Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia,Preparatory Institute for Engineering Studies of Tunis, University of Tunis, Tunis, Tunisia
| | - Slimane Ben Miled
- Laboratory of BioInformatics, bioMathematics and bioStatistics, Institute Pasteur of Tunis, Tunis, Tunisia
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Allouche J, Cremoni M, Brglez V, Graça D, Benzaken S, Zorzi K, Fernandez C, Esnault V, Levraut M, Oppo S, Jacquinot M, Armengaud A, Pradier C, Bailly L, Seitz-Polski B. Air pollution exposure induces a decrease in type II interferon response: A paired cohort study. EBioMedicine 2022; 85:104291. [PMID: 36183487 PMCID: PMC9525814 DOI: 10.1016/j.ebiom.2022.104291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/22/2022] [Accepted: 09/13/2022] [Indexed: 12/01/2022] Open
Abstract
Background While air pollution is a major issue due to its harmful effects on human health, few studies focus on its impact on the immune system and vulnerability to viral infections. The lockdown declared following the COVID-19 pandemic represents a unique opportunity to study the large-scale impact of variations in air pollutants in real life. We hypothesized that variations in air pollutants modify Th1 response represented by interferon (IFN) γ production. Methods We conducted a single center paired pilot cohort study of 58 participants, and a confirmation cohort of 320 participants in Nice (France), with for each cohort two samplings at six months intervals. We correlated the variations in the production of IFNγ after non-specific stimulation of participants’ immune cells with variations in key regulated pollutants: NO2, O3, PM2.5, and PM10 and climate variables. Using linear regression, we studied the effects of variations of each pollutant on the immune response. Findings In the pilot cohort, IFNγ production significantly decreased by 25.7% post-lockdown compared to during lockdown, while NO2 increased significantly by 46.0%. After the adjustment for climate variations during the study period (sunshine and temperature), we observed a significant effect of NO2 variation on IFNγ production (P=0.03). In the confirmation cohort IFNγ decreased significantly by 47.8% and after adjustment for environmental factors and intrinsic characteristics we observed a significant effect of environmental factors: NO2, PM10, O3, climatic conditions (sunshine exposure, relative humidity) on variation in IFNγ production (P=0.005, P<0.001, P=0.001, P=0.002 and P<0.001 respectively) but not independently from the BMI at inclusion and the workplace P=0.007 and P<0.001 respectively). Interpretation We show a weakening of the antiviral cellular response in correlation with an increase of pollutants exposition. Funding Agence Nationale de la Recherche, Conseil Départemental des Alpes-Maritimes and Region Sud.
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Affiliation(s)
- Jonathan Allouche
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Marion Cremoni
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Vesna Brglez
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Daisy Graça
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Sylvia Benzaken
- Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Kévin Zorzi
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Céline Fernandez
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France
| | - Vincent Esnault
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Michaël Levraut
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Sonia Oppo
- AtmoSud, Air Quality Observatory for Southern Region, Marseille, France
| | - Morgan Jacquinot
- AtmoSud, Air Quality Observatory for Southern Region, Marseille, France
| | | | - Christian Pradier
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Laurent Bailly
- Department of Public Health, University Hospital of Nice, University Côte, France; Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France
| | - Barbara Seitz-Polski
- Clinical Research Unit of the Côte d'Azur (UR2CA), Université Côte d'Azur, Nice, France; Immunology Department, University Hospital of Nice, Université Côte d'Azur, Nice, France.
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Investigating the impacts of COVID-19 lockdown on air quality, surface Urban Heat Island, air temperature and lighting energy consumption in City of Melbourne. ENERGY STRATEGY REVIEWS 2022; 44:100963. [PMCID: PMC9452421 DOI: 10.1016/j.esr.2022.100963] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 08/15/2022] [Accepted: 09/06/2022] [Indexed: 06/17/2023]
Abstract
The COVID-19 pandemic has threatened city economies and residents' public health and quality of life. Similar to most cities, Melbourne imposed extreme preventive lockdown measures to address this situation. It would be reasonable to assume that during the two phases of lockdowns, in autumn (March) and winter (June to August) 2020, air quality parameters, air temperature, Surface Urban Heat Island (SUHI), and lighting energy consumption most likely increased. As such, to test this assumption, Sentinel 5, ERA-5 LAND, Sentinel 1 and 2, NASA SRTM, MODIS Aqua and Terra, and VIIRS satellite imageries are utilized to investigate the alterations of NO₂, SO₂, CO, UV Aerosol Index (UAI), air temperature, SUHI, and lighting energy consumption factors in the City of Melbourne. Furthermore, satellite imageries of SentiThe results indicate that the change rates of NO₂ (1.17 mol/m2) and CO (1.64 mol/m2) factors were positive. Further, the nighttime SUHI values increased by approximately 0.417 °C during the winter phase of the lockdown, while during the summer phase of the lockdown, the largest negative change rate was in NO₂ (−100.40 mol/m2). By contrast, the largest positive change rate was in SO₂ and SUHI at night. The SO₂ values increased from very low to 330 μm mol/m2, and the SUHI nighttime values increased by approximately 4.8 °C. From the spatial point of view, this study also shows how the effects on such parameters shifted based on the urban form and land types across the City of Melbourne by using satellite data as a significant resource to analyze the spatial coverage of these factors. The findings of this study demonstrate how air quality factors, SUHI, air temperature, and lighting energy consumption changed from pre-lockdown (2019) to lockdown (2020), offering valuable insights regarding practices for managing SUHI, lighting energy consumption, and air pollution.
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Brągoszewska E, Mainka A. Impact of Different Air Pollutants (PM 10, PM 2.5, NO 2, and Bacterial Aerosols) on COVID-19 Cases in Gliwice, Southern Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14181. [PMID: 36361060 PMCID: PMC9655007 DOI: 10.3390/ijerph192114181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/23/2022] [Accepted: 10/27/2022] [Indexed: 06/16/2023]
Abstract
Many studies have shown that air pollution may be closely associated with increased morbidity and mortality due to COVID-19. It has been observed that exposure to air pollution leads to reduced immune response, thereby facilitating viral penetration and replication. In our study, we combined information on confirmed COVID-19 daily new cases (DNCs) in one of the most polluted regions in the European Union (EU) with air-quality monitoring data, including meteorological parameters (temperature, relative humidity, atmospheric pressure, wind speed, and direction) and concentrations of particulate matter (PM10 and PM2.5), sulfur dioxide (SO2), nitrogen oxides (NO and NO2), ozone (O3), and carbon monoxide (CO). Additionally, the relationship between bacterial aerosol (BA) concentration and COVID-19 spread was analyzed. We confirmed a significant positive correlation (p < 0.05) between NO2 concentrations and numbers of confirmed DNCs and observed positive correlations (p < 0.05) between BA concentrations and DNCs, which may point to coronavirus air transmission by surface deposits on bioaerosol particles. In addition, wind direction information was used to show that the highest numbers of DNCs were associated with the dominant wind directions in the region (southern and southwestern parts).
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Affiliation(s)
- Ewa Brągoszewska
- Department of Technologies and Installations for Waste Management, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 18 Konarskiego St., 44-100 Gliwice, Poland
| | - Anna Mainka
- Department of Air Protection, Silesian University of Technology, 22B Konarskiego St., 44-100 Gliwice, Poland
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de la Fuente J, Armas O, Barroso-Arévalo S, Gortázar C, García-Seco T, Buendía-Andrés A, Villanueva F, Soriano JA, Mazuecos L, Vaz-Rodrigues R, García-Contreras R, García A, Monsalve-Serrano J, Domínguez L, Sánchez-Vizcaíno JM. Good and bad get together: Inactivation of SARS-CoV-2 in particulate matter pollution from different fuels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 844:157241. [PMID: 35817121 PMCID: PMC9264720 DOI: 10.1016/j.scitotenv.2022.157241] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/09/2022] [Accepted: 07/05/2022] [Indexed: 05/15/2023]
Abstract
Air pollution and associated particulate matter (PM) affect environmental and human health worldwide. The intense vehicle usage and the high population density in urban areas are the main causes of this public health impact. Epidemiological studies have provided evidence on the effect of air pollution on airborne SARS-CoV-2 transmission and COVID-19 disease prevalence and symptomatology. However, the causal relationship between air pollution and COVID-19 is still under investigation. Based on these results, the question addressed in this study was how long SARS-CoV-2 survives on the surface of PM from different origin to evaluate the relationship between fuel and atmospheric pollution and virus transmission risk. The persistence and viability of SARS-CoV-2 virus was characterized in 5 engine exhaust PM and 4 samples of atmospheric PM10. The results showed that SARS-CoV-2 remains on the surface of PM10 from air pollutants but interaction with engine exhaust PM inactivates the virus. Consequently, atmospheric PM10 levels may increase SARS-CoV-2 transmission risk thus supporting a causal relationship between these factors. Furthermore, the relationship of pollution PM and particularly engine exhaust PM with virus transmission risk and COVID-19 is also affected by the impact of these pollutants on host oxidative stress and immunity. Therefore, although fuel PM inactivates SARS-CoV-2, the conclusion of the study is that both atmospheric and engine exhaust PM negatively impact human health with implications for COVID-19 and other diseases.
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Affiliation(s)
- José de la Fuente
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK 74078, USA.
| | - Octavio Armas
- Escuela de Ingeniería Industrial y Aeroespacial, Universidad de Castilla - La Mancha, Campus de Excelencia Internacional en Energía y Medioambiente, Real Fábrica de Armas, Edif. Sabatini, Av. Carlos III, s/n, 45071 Toledo, Spain
| | - Sandra Barroso-Arévalo
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Puerta de Hierro s/n, 28040 Madrid, Spain; Department of Animal Health, Faculty of Veterinary, Universidad Complutense de Madrid, Av. Puerta de Hierro s/n, 28040 Madrid, Spain
| | - Christian Gortázar
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain
| | - Teresa García-Seco
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Puerta de Hierro s/n, 28040 Madrid, Spain
| | - Aránzazu Buendía-Andrés
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Puerta de Hierro s/n, 28040 Madrid, Spain
| | - Florentina Villanueva
- Instituto de Investigación en Combustión y Contaminación Atmosférica, Universidad de Castilla La Mancha, Camino de Moledores s/n, 13071 Ciudad Real, Spain; Parque Científico y Tecnológico de Castilla La Mancha, Paseo de La Innovación 1, 02006 Albacete, Spain
| | - José A Soriano
- Escuela de Ingeniería Industrial y Aeroespacial, Universidad de Castilla - La Mancha, Campus de Excelencia Internacional en Energía y Medioambiente, Real Fábrica de Armas, Edif. Sabatini, Av. Carlos III, s/n, 45071 Toledo, Spain
| | - Lorena Mazuecos
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain
| | - Rita Vaz-Rodrigues
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain
| | - Reyes García-Contreras
- Escuela de Ingeniería Industrial y Aeroespacial, Universidad de Castilla - La Mancha, Campus de Excelencia Internacional en Energía y Medioambiente, Real Fábrica de Armas, Edif. Sabatini, Av. Carlos III, s/n, 45071 Toledo, Spain
| | - Antonio García
- CMT-Motores Térmicos, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Javier Monsalve-Serrano
- CMT-Motores Térmicos, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Lucas Domínguez
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Puerta de Hierro s/n, 28040 Madrid, Spain; Department of Animal Health, Faculty of Veterinary, Universidad Complutense de Madrid, Av. Puerta de Hierro s/n, 28040 Madrid, Spain
| | - José Manuel Sánchez-Vizcaíno
- VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Puerta de Hierro s/n, 28040 Madrid, Spain; Department of Animal Health, Faculty of Veterinary, Universidad Complutense de Madrid, Av. Puerta de Hierro s/n, 28040 Madrid, Spain
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Hassan MA, Mehmood T, Lodhi E, Bilal M, Dar AA, Liu J. Lockdown Amid COVID-19 Ascendancy over Ambient Particulate Matter Pollution Anomaly. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13540. [PMID: 36294120 PMCID: PMC9603700 DOI: 10.3390/ijerph192013540] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/10/2022] [Accepted: 10/15/2022] [Indexed: 06/16/2023]
Abstract
Air is a diverse mixture of gaseous and suspended solid particles. Several new substances are being added to the air daily, polluting it and causing human health effects. Particulate matter (PM) is the primary health concern among these air toxins. The World Health Organization (WHO) addressed the fact that particulate pollution affects human health more severely than other air pollutants. The spread of air pollution and viruses, two of our millennium's most serious concerns, have been linked closely. Coronavirus disease 2019 (COVID-19) can spread through the air, and PM could act as a host to spread the virus beyond those in close contact. Studies on COVID-19 cover diverse environmental segments and become complicated with time. As PM pollution is related to everyday life, an essential awareness regarding PM-impacted COVID-19 among the masses is required, which can help researchers understand the various features of ambient particulate pollution, particularly in the era of COVID-19. Given this, the present work provides an overview of the recent developments in COVID-19 research linked to ambient particulate studies. This review summarizes the effect of the lockdown on the characteristics of ambient particulate matter pollution, the transmission mechanism of COVID-19, and the combined health repercussions of PM pollution. In addition to a comprehensive evaluation of the implementation of the lockdown, its rationales-based on topographic and socioeconomic dynamics-are also discussed in detail. The current review is expected to encourage and motivate academics to concentrate on improving air quality management and COVID-19 control.
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Affiliation(s)
- Muhammad Azher Hassan
- Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Tariq Mehmood
- College of Ecology and Environment, Hainan University, Haikou 570228, China
- Department of Environmental Engineering, Helmholtz Centre for Environmental Research—UFZ, D-04318 Leipzig, Germany
| | - Ehtisham Lodhi
- The SKL for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Muhammad Bilal
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
| | - Afzal Ahmed Dar
- School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi’an 710000, China
| | - Junjie Liu
- Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
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Nair AN, Anand P, George A, Mondal N. A review of strategies and their effectiveness in reducing indoor airborne transmission and improving indoor air quality. ENVIRONMENTAL RESEARCH 2022; 213:113579. [PMID: 35714688 PMCID: PMC9192357 DOI: 10.1016/j.envres.2022.113579] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 04/25/2022] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
Abstract
Airborne transmission arises through the inhalation of aerosol droplets exhaled by an infected person and is now thought to be the primary transmission route of COVID-19. Thus, maintaining adequate indoor air quality levels is vital in mitigating the spread of the airborne virus. The cause-and-effect flow of various agents involved in airborne transmission of viruses has been investigated through a systematic literature review. It has been identified that the airborne virus can stay infectious in the air for hours, and pollutants such as particulate matter (PM10, PM2.5), Nitrogen dioxide (NO2), Sulphur dioxide (SO2), Carbon monoxide (CO), Ozone (O3), Carbon dioxide (CO2), and Total Volatile Organic Compounds (TVOCs) and other air pollutants can enhance the incidence, spread and mortality rates of viral disease. Also, environmental quality parameters such as humidity and temperature have shown considerable influence in virus transmission in indoor spaces. The measures adopted in different research studies that can curb airborne transmission of viruses for an improved Indoor Air Quality (IAQ) have been collated for their effectiveness and limitations. A diverse set of building strategies, components, and operation techniques from the recent literature pertaining to the ongoing spread of COVID-19 disease has been systematically presented to understand the current state of techniques and building systems that can minimize the viral spread in built spaces This comprehensive review will help architects, builders, realtors, and other organizations improve or design a resilient building system to deal with COVID-19 or any such pandemic in the future.
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Affiliation(s)
- Ajith N Nair
- Department of Architecture and Regional Planning, IIT, Kharagpur, India
| | - Prashant Anand
- Department of Architecture and Regional Planning, IIT, Kharagpur, India.
| | - Abraham George
- Department of Architecture and Regional Planning, IIT, Kharagpur, India
| | - Nilabhra Mondal
- Department of Architecture and Regional Planning, IIT, Kharagpur, India
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Zoran MA, Savastru RS, Savastru DM, Tautan MN. Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION : TRANSACTIONS OF THE INSTITUTION OF CHEMICAL ENGINEERS, PART B 2022; 166:368-383. [PMID: 36034108 PMCID: PMC9391082 DOI: 10.1016/j.psep.2022.08.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/12/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Over more than two years of global health crisis due to ongoing COVID-19 pandemic, Romania experienced a five-wave pattern. This study aims to assess the potential impact of environmental drivers on COVID-19 transmission in Bucharest, capital of Romania during the analyzed epidemic period. Through descriptive statistics and cross-correlation tests applied to time series of daily observational and geospatial data of major outdoor inhalable particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) or ≤ 10 µm (PM10), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO), Aerosol Optical Depth at 550 nm (AOD) and radon (222Rn), we investigated the COVID-19 waves patterns under different meteorological conditions. This study examined the contribution of individual climate variables on the ground level air pollutants concentrations and COVID-19 disease severity. As compared to the long-term average AOD over Bucharest from 2015 to 2019, for the same year periods, this study revealed major AOD level reduction by ~28 % during the spring lockdown of the first COVID-19 wave (15 March 2020-15 May 2020), and ~16 % during the third COVID-19 wave (1 February 2021-1 June 2021). This study found positive correlations between exposure to air pollutants PM2.5, PM10, NO2, SO2, CO and 222Rn, and significant negative correlations, especially for spring-summer periods between ground O3 levels, air temperature, Planetary Boundary Layer height, and surface solar irradiance with COVID-19 incidence and deaths. For the analyzed time period 1 January 2020-1 April 2022, before and during each COVID-19 wave were recorded stagnant synoptic anticyclonic conditions favorable for SARS-CoV-2 virus spreading, with positive Omega surface charts composite average (Pa/s) at 850 mb during fall- winter seasons, clearly evidenced for the second, the fourth and the fifth waves. These findings are relevant for viral infections controls and health safety strategies design in highly polluted urban environments.
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Key Words
- 222Rn
- 222Rn, Radon
- AOD, Total Aerosol Optical Depth at 550 nm
- Aerosol Optical Depth (AOD)
- CAMS, Copernicus Atmosphere Monitoring Service
- CO, Carbon monoxide
- COVID, 19 Coronavirus Disease 2019
- COVID-19 disease
- Climate variables
- DNC, Daily New COVID-19 positive cases
- DND, Daily New COVID-19 Deaths
- MERS, CoV Middle East respiratory syndrome coronavirus
- NO2, Nitrogen dioxide
- NOAA, National Oceanic and Atmospheric Administration U.S.A.
- O3, Ozone
- Outdoor air pollutants
- PBL, Planetary Boundary Layer height
- PM, Particulate Matter: PM1(1 µm), PM2.5 (2.5 µm) and PM10(10.0 µm) diameter
- RH, Air relative humidity
- SARS, CoV Severe Outdoor Respiratory Syndrome Coronavirus
- SARS, CoV-2 Severe Outdoor Respiratory Syndrome Coronavirus 2
- SI, Surface solar global irradiance
- SO2, Sulfur dioxide
- Synoptic meteorological circulation
- T, Air temperature at 2 m height
- p, Air pressure
- w, Wind speed intensity
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Affiliation(s)
- Maria A Zoran
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Roxana S Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Dan M Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Marina N Tautan
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
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Influence of weather factors on the incidence of COVID-19 in Spain. MEDICINA CLÍNICA (ENGLISH EDITION) 2022; 159:255-261. [PMID: 36060101 PMCID: PMC9425111 DOI: 10.1016/j.medcle.2021.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 10/28/2021] [Indexed: 11/22/2022]
Abstract
Introduction Several studies have analyzed the influence of meteorological and geographical factors on the incidence of COVID-19. Seasonality could be important in the transmission of SARS-CoV-2. This study aims to evaluate the geographical pattern of COVID-19 in Spain and its relationship with different meteorological variables. Methods A provincial ecological study analyzing the influence of meteorological and geographical factors on the cumulative incidence of COVID-19 in the 52 (24 coastal and 28 inland) Spanish provinces during the first three waves was carried out. The cumulative incidence was calculated with data from the National Statistical Institute (INE) and the National Epidemiological Surveillance Network (RENAVE), while the meteorological variables were obtained from the Spanish Meteorological Agency (AEMET). Results The total cumulative incidence, in all three waves, was lower in the coastal provinces than in the inland ones (566 ± 181 vs. 782 ± 154; P = 2.5 × 10−5). The cumulative incidence correlated negatively with mean air temperature (r = −0.49; P = 2.2 × 10−4) and rainfall (r = −0.33; P = .01), and positively with altitude (r = 0.56; P = 1.4 × 10−5). The Spanish provinces with an average temperature <10 °C had almost twice the cumulative incidence than the provinces with temperatures >16 °C. The mean air temperature and rainfall were associated with the cumulative incidence of COVID-19, regardless of other factors (Beta Coefficient of −0.62; P = 3.7 × 10−7 and −0.47; P = 4.2 × 10−5 respectively) Conclusions Meteorological and geographical factors could influence the evolution of the pandemic in Spain. Knowledge regarding the seasonality of the virus would help to predict new waves of COVID-19 infections
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Zoran MA, Savastru RS, Savastru DM, Tautan MN. Impacts of exposure to air pollution, radon and climate drivers on the COVID-19 pandemic in Bucharest, Romania: A time series study. ENVIRONMENTAL RESEARCH 2022; 212:113437. [PMID: 35594963 PMCID: PMC9113773 DOI: 10.1016/j.envres.2022.113437] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 05/03/2022] [Accepted: 05/04/2022] [Indexed: 05/05/2023]
Abstract
During the ongoing global COVID-19 pandemic disease, like several countries, Romania experienced a multiwaves pattern over more than two years. The spreading pattern of SARS-CoV-2 pathogens in the Bucharest, capital of Romania is a multi-factorial process involving among other factors outdoor environmental variables and viral inactivation. Through descriptive statistics and cross-correlation analysis applied to daily time series of observational and geospatial data, this study aims to evaluate the synergy of COVID-19 incidence and lethality with air pollution and radon under different climate conditions, which may exacerbate the coronavirus' effect on human health. During the entire analyzed period 1 January 2020-21 December 2021, for each of the four COVID-19 waves were recorded different anomalous anticyclonic synoptic meteorological patterns in the mid-troposphere, and favorable stability conditions during fall-early winter seasons for COVID-19 disease fast-spreading, mostly during the second, and the fourth waves. As the temporal pattern of airborne SARS-CoV-2 and its mutagen variants is affected by seasonal variability of the main air pollutants and climate parameters, this paper found: 1) the daily outdoor exposures to air pollutants (particulate matter PM2.5 and PM10, nitrogen dioxide-NO2, sulfur dioxide-SO2, carbon monoxide-CO) and radon - 222Rn, are directly correlated with the daily COVID-19 incidence and mortality, and may contribute to the spread and the severity of the pandemic; 2) the daily ground ozone-O3 levels, air temperature, Planetary Boundary Layer height, and surface solar irradiance are anticorrelated with the daily new COVID-19 incidence and deaths, averageingful for spring-summer periods. Outdoor exposure to ambient air pollution associated with radon is a non-negligible driver of COVID-19 transmission in large metropolitan areas, and climate variables are risk factors in spreading the viral infection. The findings of this study provide useful information for public health authorities and decision-makers to develop future pandemic diseases strategies in high polluted metropolitan environments.
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Affiliation(s)
- Maria A Zoran
- National Institute of R&D for Optoelectronics, Bucharest, Magurele, Romania.
| | - Roxana S Savastru
- National Institute of R&D for Optoelectronics, Bucharest, Magurele, Romania
| | - Dan M Savastru
- National Institute of R&D for Optoelectronics, Bucharest, Magurele, Romania
| | - Marina N Tautan
- National Institute of R&D for Optoelectronics, Bucharest, Magurele, Romania
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Al Huraimel K, Alhosani M, Gopalani H, Kunhabdulla S, Stietiya MH. Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2. HYGIENE AND ENVIRONMENTAL HEALTH ADVANCES 2022; 3:100006. [PMID: 37519421 PMCID: PMC9095661 DOI: 10.1016/j.heha.2022.100006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/13/2022] [Accepted: 04/30/2022] [Indexed: 11/29/2022]
Abstract
The increasing frequency of zoonotic diseases is amongst several catastrophic repercussions of inadequate environmental management. Emergence, prevalence, and lethality of zoonotic diseases is intrinsically linked to environmental management which are currently at a destructive level globally. The effects of these links are complicated and interdependent, creating an urgent need of elucidating the role of environmental mismanagement to improve our resilience to future pandemics. This review focused on the pertinent role of forests, outdoor air, indoor air, solid waste and wastewater management in COVID-19 dissemination to analyze the opportunities prevailing to control infectious diseases considering relevant data from previous disease outbreaks. Global forest management is currently detrimental and hotspots of forest fragmentation have demonstrated to result in zoonotic disease emergences. Deforestation is reported to increase susceptibility to COVID-19 due to wildfire induced pollution and loss of forest ecosystem services. Detection of SARS-CoV-2 like viruses in multiple animal species also point to the impacts of biodiversity loss and forest fragmentation in relation to COVID-19. Available literature on air quality and COVID-19 have provided insights into the potential of air pollutants acting as plausible virus carrier and aggravating immune responses and expression of ACE2 receptors. SARS-CoV-2 is detected in outdoor air, indoor air, solid waste, wastewater and shown to prevail on solid surfaces and aerosols for prolonged hours. Furthermore, lack of protection measures and safe disposal options in waste management are evoking concerns especially in underdeveloped countries due to high infectivity of SARS-CoV-2. Inadequate legal framework and non-adherence to environmental regulations were observed to aggravate the postulated risks and vulnerability to future waves of pandemics. Our understanding underlines the urgent need to reinforce the fragile status of global environmental management systems through the development of strict legislative frameworks and enforcement by providing institutional, financial and technical supports.
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Affiliation(s)
- Khaled Al Huraimel
- Division of Consultancy, Research & Innovation (CRI), Sharjah Environment Company - Bee'ah, Sharjah, United Arab Emirates
| | - Mohamed Alhosani
- Division of Consultancy, Research & Innovation (CRI), Sharjah Environment Company - Bee'ah, Sharjah, United Arab Emirates
| | - Hetasha Gopalani
- Division of Consultancy, Research & Innovation (CRI), Sharjah Environment Company - Bee'ah, Sharjah, United Arab Emirates
| | - Shabana Kunhabdulla
- Division of Consultancy, Research & Innovation (CRI), Sharjah Environment Company - Bee'ah, Sharjah, United Arab Emirates
| | - Mohammed Hashem Stietiya
- Division of Consultancy, Research & Innovation (CRI), Sharjah Environment Company - Bee'ah, Sharjah, United Arab Emirates
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50
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Assessing the impact of long-term exposure to nine outdoor air pollutants on COVID-19 spatial spread and related mortality in 107 Italian provinces. Sci Rep 2022; 12:13317. [PMID: 35922645 PMCID: PMC9349267 DOI: 10.1038/s41598-022-17215-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 07/21/2022] [Indexed: 12/15/2022] Open
Abstract
This paper investigates the air quality in 107 Italian provinces in the period 2014-2019 and the association between exposure to nine outdoor air pollutants and the COVID-19 spread and related mortality in the same areas. The methods used were negative binomial (NB) regression, ordinary least squares (OLS) model, and spatial autoregressive (SAR) model. The results showed that (i) common air pollutants-nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM2.5 and PM10)-were highly and positively correlated with large firms, energy and gas consumption, public transports, and livestock sector; (ii) long-term exposure to NO2, PM2.5, PM10, benzene, benzo[a]pyrene (BaP), and cadmium (Cd) was positively and significantly correlated with the spread of COVID-19; and (iii) long-term exposure to NO2, O3, PM2.5, PM10, and arsenic (As) was positively and significantly correlated with COVID-19 related mortality. Specifically, particulate matter and Cd showed the most adverse effect on COVID-19 prevalence; while particulate matter and As showed the largest dangerous impact on excess mortality rate. The results were confirmed even after controlling for eighteen covariates and spatial effects. This outcome seems of interest because benzene, BaP, and heavy metals (As and Cd) have not been considered at all in recent literature. It also suggests the need for a national strategy to drive down air pollutant concentrations to cope better with potential future pandemics.
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