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Ryu MH, Murphy S, Hinkley M, Carlsten C. COPD Exposed to Air Pollution: A Path to Understand and Protect a Susceptible Population. Chest 2024; 165:836-846. [PMID: 37972689 DOI: 10.1016/j.chest.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/14/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023] Open
Abstract
TOPIC IMPORTANCE Air pollution poses a risk to the respiratory health of individuals with COPD. Long- and short-term exposures to higher levels of particulate-rich air pollution are associated with increased COPD exacerbation, hospitalization, and mortality, collectively implicating air pollution as a cause of adverse COPD-related outcomes. REVIEW FINDINGS This review summarizes the evidence for COPD as a phenotype that confers susceptibility for adverse health outcomes in the face of common air pollution. We highlight how typical contributors to compromised urban air quality, including that from traffic, wildfire smoke, and indoor biomass combustion, adversely affect the COPD patient population. Evidence underscoring the burden of ongoing air pollution exposure on patients with COPD is discussed. We then detail the detrimental impact of that exposure on COPD pathophysiology, which in turn increases the patient's susceptibility. We specifically propose that indoor air is a particularly rational target for increased monitoring and remediation to protect patients with COPD. Because COPD is a heterogeneous disease with several endotypes, future intervention studies need to better include control populations, to highlight COPD-specific risks and identify subpopulations within patients with COPD who will benefit the most from improved indoor air quality. SUMMARY Regulatory efforts must continue to broadly lower emission standards to protect this susceptible population from the negative health impacts of air pollution.
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Affiliation(s)
- Min Hyung Ryu
- Air Pollution Exposure Laboratory, Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Shane Murphy
- Air Pollution Exposure Laboratory, Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Madison Hinkley
- Air Pollution Exposure Laboratory, Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Chris Carlsten
- Air Pollution Exposure Laboratory, Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC, Canada; Legacy for Airway Health and Centre for Lung Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada.
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2
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Conte MN, Gordon M, Swartwood NA, Wilwerding R, Yu CA(A. Observational studies generate misleading results about the health effects of air pollution: Evidence from chronic air pollution and COVID-19 outcomes. PLoS One 2024; 19:e0296154. [PMID: 38165918 PMCID: PMC10760733 DOI: 10.1371/journal.pone.0296154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 12/06/2023] [Indexed: 01/04/2024] Open
Abstract
Several observational studies from locations around the globe have documented a positive correlation between air pollution and the severity of COVID-19 disease. Observational studies cannot identify the causal link between air quality and the severity of COVID-19 outcomes, and these studies face three key identification challenges: 1) air pollution is not randomly distributed across geographies; 2) air-quality monitoring networks are sparse spatially; and 3) defensive behaviors to mediate exposure to air pollution and COVID-19 are not equally available to all, leading to large measurement error bias when using rate-based COVID-19 outcome measures (e.g., incidence rate or mortality rate). Using a quasi-experimental design, we explore whether traffic-related air pollutants cause people with COVID-19 to suffer more extreme health outcomes in New York City (NYC). When we address the previously overlooked challenges to identification, we do not detect causal impacts of increased chronic concentrations of traffic-related air pollutants on COVID-19 death or hospitalization counts in NYC census tracts.
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Affiliation(s)
- Marc N. Conte
- Department of Economics, Fordham University, Bronx, NY, United States of America
| | | | - Nicole A. Swartwood
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Rachel Wilwerding
- Department of Economics, Fordham University, Bronx, NY, United States of America
| | - Chu A. (Alex) Yu
- Department of Economics, Wake Forest University, Winston-Salem, NC, United States of America
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3
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Yu K, Zhang Q, Wei Y, Chen R, Kan H. Global association between air pollution and COVID-19 mortality: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167542. [PMID: 37797765 DOI: 10.1016/j.scitotenv.2023.167542] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/13/2023] [Accepted: 09/30/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND The COVID-19 pandemic presents unprecedented challenge for global public health systems and exacerbates existing health disparities. Epidemiological evidence suggested a potential linkage between particulate and gaseous pollutants and COVID-19 mortality. We aimed to summarize the overall risk of COVID-19 mortality associated with ambient air pollutants over the short- and long-term. METHODS For the systematic review and meta-analysis, we searched five databases for studies evaluating the risk of COVID-19 mortality from exposure to air pollution. Inclusion of articles was assessed independently on the basis of research topic and availability of effect estimates. The risk estimates (relative risk) for each pollutant were pooled with a random-effect model. Potential heterogeneity was explored by subgroup analysis. Funnel plots and trim-and-fill methods were employed to assess and adjust for publication bias. FINDINGS The systematic review retrieved 2059 records, and finally included 43 original studies. PM2.5 (RR: 1.71, 95 % CI: 1.40-2.08, per 10 μg/m3 increase), NO2 (RR: 1.33, 1.07-1.65, per 10 ppb increase) and O3 (RR: 1.61, 1.00-2.57, per 10 ppb increase) were positively associated with COVID-19 mortality for long-term exposures. Accordingly, a higher risk of COVID-19 mortality was associated with PM2.5 (1.05, 1.02-1.08), PM10 (1.05, 1.01-1.08), and NO2 (1.40, 1.04-1.90) for short-term exposures. There was some heterogeneity across subgroups of income level and geographical areas. CONCLUSION Both long-term and short-term exposures to ambient air pollution may increase the risk of COVID-19 mortality. Future studies utilizing individual-level information on demographics, exposures, outcome ascertainment and confounders are warranted to improve the accuracy of estimates.
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Affiliation(s)
- Kexin Yu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yuhao Wei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
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4
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Lane TJ, Carroll M, Borg BM, McCaffrey TA, Smith CL, Gao CX, Brown D, Poland D, Allgood S, Ikin J, Abramson MJ. Long-term effects of extreme smoke exposure on COVID-19: A cohort study. Respirology 2024; 29:56-62. [PMID: 37681548 DOI: 10.1111/resp.14591] [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] [Received: 04/26/2023] [Accepted: 08/21/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND In 2014, the Hazelwood coalmine fire shrouded the regional Australian town of Morwell in smoke and ash for 6 weeks. One of the fire's by-products, PM2.5 , is associated with an increased risk of COVID-19 and severe disease. However, it is unclear whether the effect persisted for years after exposure. In this study, we surveyed a cohort established prior to the pandemic to determine whether PM2.5 from the coalmine fire increased long-term vulnerability to COVID-19 and severe disease. METHODS From August to December 2022, 612 members of the Hazelwood Health Study's adult cohort, established in 2016/17, participated in a follow-up survey that included standardized items to capture COVID-19 cases, as well as questions about hospitalization and vaccinations. Associations were evaluated in crude and adjusted logistic regression models. RESULTS A total of 268 (44%) participants self-reported or met symptom criteria for having had COVID-19 at least once. All models found a positive association, with odds of COVID-19 increasing by between 4% and 30% for a 10 μg/m3 increase in coalmine fire-related PM2.5 exposure. However, the association was significant in only 2 of the 18 models. There were insufficient hospitalizations to examine severity (n = 7; 1%). CONCLUSION The findings are inconclusive on the effect of coalmine fire-related PM2.5 exposure on long-term vulnerability to COVID-19. Given the positive association that was robust to modelling variations as well as evidence for a causal mechanism, it would be prudent to treat PM2.5 from fire events as a long-term risk factor until more evidence accumulates.
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Affiliation(s)
- Tyler J Lane
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Matthew Carroll
- Monash Rural Health Churchill, Monash University, Churchill, Victoria, Australia
| | - Brigitte M Borg
- Respiratory Medicine, The Alfred Health, Melbourne, Victoria, Australia
| | - Tracy A McCaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Catherine L Smith
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Caroline X Gao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Orygen, Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - David Brown
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - David Poland
- Monash Rural Health Churchill, Monash University, Churchill, Victoria, Australia
| | - Shantelle Allgood
- Monash Rural Health Churchill, Monash University, Churchill, Victoria, Australia
| | - Jillian Ikin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Michael J Abramson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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5
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Houweling L, Maitland-Van der Zee AH, Holtjer JCS, Bazdar S, Vermeulen RCH, Downward GS, Bloemsma LD. The effect of the urban exposome on COVID-19 health outcomes: A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2024; 240:117351. [PMID: 37852458 DOI: 10.1016/j.envres.2023.117351] [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: 06/12/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND The global severity of SARS-CoV-2 illness has been associated with various urban characteristics, including exposure to ambient air pollutants. This systematic review and meta-analysis aims to synthesize findings from ecological and non-ecological studies to investigate the impact of multiple urban-related features on a variety of COVID-19 health outcomes. METHODS On December 5, 2022, PubMed was searched to identify all types of observational studies that examined one or more urban exposome characteristics in relation to various COVID-19 health outcomes such as infection severity, the need for hospitalization, ICU admission, COVID pneumonia, and mortality. RESULTS A total of 38 non-ecological and 241 ecological studies were included in this review. Non-ecological studies highlighted the significant effects of population density, urbanization, and exposure to ambient air pollutants, particularly PM2.5. The meta-analyses revealed that a 1 μg/m3 increase in PM2.5 was associated with a higher likelihood of COVID-19 hospitalization (pooled OR 1.08 (95% CI:1.02-1.14)) and death (pooled OR 1.06 (95% CI:1.03-1.09)). Ecological studies, in addition to confirming the findings of non-ecological studies, also indicated that higher exposure to nitrogen dioxide (NO2), ozone (O3), sulphur dioxide (SO2), and carbon monoxide (CO), as well as lower ambient temperature, humidity, ultraviolet (UV) radiation, and less green and blue space exposure, were associated with increased COVID-19 morbidity and mortality. CONCLUSION This systematic review has identified several key vulnerability features related to urban areas in the context of the recent COVID-19 pandemic. The findings underscore the importance of improving policies related to urban exposures and implementing measures to protect individuals from these harmful environmental stressors.
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Affiliation(s)
- Laura Houweling
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Dept. of Pulmonary Medicine, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Anke-Hilse Maitland-Van der Zee
- Dept. of Pulmonary Medicine, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands
| | - Judith C S Holtjer
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Somayeh Bazdar
- Dept. of Pulmonary Medicine, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands
| | - Roel C H Vermeulen
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - George S Downward
- Department of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Lizan D Bloemsma
- Dept. of Pulmonary Medicine, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands
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6
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Liu S, Ji S, Xu J, Zhang Y, Zhang H, Liu J, Lu D. Exploring spatiotemporal pattern in the association between short-term exposure to fine particulate matter and COVID-19 incidence in the continental United States: a Leroux-conditional-autoregression-based strategy. Front Public Health 2023; 11:1308775. [PMID: 38186711 PMCID: PMC10768722 DOI: 10.3389/fpubh.2023.1308775] [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: 10/07/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024] Open
Abstract
Background Numerous studies have demonstrated that fine particulate matter (PM2.5) is adversely associated with COVID-19 incidence. However, few studies have explored the spatiotemporal heterogeneity in this association, which is critical for developing cost-effective pollution-related policies for a specific location and epidemic stage, as well as, understanding the temporal change of association between PM2.5 and an emerging infectious disease like COVID-19. Methods The outcome was state-level daily COVID-19 cases in 49 native United States between April 1, 2020 and December 31, 2021. The exposure variable was the moving average of PM2.5 with a lag range of 0-14 days. A latest proposed strategy was used to investigate the spatial distribution of PM2.5-COVID-19 association in state level. First, generalized additive models were independently constructed for each state to obtain the rough association estimations, which then were smoothed using a Leroux-prior-based conditional autoregression. Finally, a modified time-varying approach was used to analyze the temporal change of association and explore the potential causes spatiotemporal heterogeneity. Results In all states, a positive association between PM2.5 and COVID-19 incidence was observed. Nearly one-third of these states, mainly located in the northeastern and middle-northern United States, exhibited statistically significant. On average, a 1 μg/m3 increase in PM2.5 concentration led to an increase in COVID-19 incidence by 0.92% (95%CI: 0.63-1.23%). A U-shaped temporal change of association was examined, with the strongest association occurring in the end of 2021 and the weakest association occurring in September 1, 2020 and July 1, 2021. Vaccination rate was identified as a significant cause for the association heterogeneity, with a stronger association occurring at a higher vaccination rate. Conclusion Short-term exposure to PM2.5 and COVID-19 incidence presented positive association in the United States, which exhibited a significant spatiotemporal heterogeneity with strong association in the eastern and middle regions and with a U-shaped temporal change.
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Affiliation(s)
- Shiyi Liu
- Department of Hospital Infection Management, Chengdu First People’s Hospital, Chengdu, China
| | - Shuming Ji
- Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China
| | - Jianjun Xu
- Department of Hospital Infection Management, Chengdu First People’s Hospital, Chengdu, China
| | - Yujing Zhang
- Department of Hospital Infection Management, Chengdu First People’s Hospital, Chengdu, China
| | - Han Zhang
- Department of Hospital Infection Management, Chengdu First People’s Hospital, Chengdu, China
| | - Jiahe Liu
- School of Mathematics and Statistics, University of Melbourne, Melbourne, VIC, Australia
| | - Donghao Lu
- Faculty of Art and Social Science, University of Sydney, Sydney, NSW, Australia
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7
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Seastedt H, Nadeau K. Factors by which global warming worsens allergic disease. Ann Allergy Asthma Immunol 2023; 131:694-702. [PMID: 37689112 PMCID: PMC10873081 DOI: 10.1016/j.anai.2023.08.610] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 08/16/2023] [Accepted: 08/20/2023] [Indexed: 09/11/2023]
Abstract
Increased use of fossil fuels has led to global warming with concomitant increases in the severity and frequency of extreme weather events such as wildfires and sand and dust storms. These changes have led to increases in air pollutants such as particulate matter and greenhouse gases. Global warming is also associated with increases in pollen season length and pollen concentration. Particulate matter, greenhouse gases, and pollen synergistically increase the incidence and severity of allergic diseases. Other indirect factors such as droughts, flooding, thunderstorms, heat waves, water pollution, human migration, deforestation, loss of green space, and decreasing biodiversity (including microbial diversity) also affect the incidence and severity of allergic disease. Global warming and extreme weather events are expected to increase in the coming decades, and further increases in allergic diseases are expected, exacerbating the already high health care burden associated with these diseases. There is an urgent need to mitigate and adapt to the effects of climate change to improve human health. Human health and planetary health are connected and the concept of One Health, which is an integrated, unifying approach to balance and optimize the health of people, animals, and the environment needs to be emphasized. Clinicians are trusted members of the community, and they need to take a strong leadership role in educating patients on climate change and its adverse effects on human health. They also need to advocate for policy changes that decrease the use of fossil fuels and increase biodiversity and green space to enable a healthier and more sustainable future.
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Affiliation(s)
- Hana Seastedt
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Palo Alto, California
| | - Kari Nadeau
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
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Lertsinsrubtavee A, Kanabkaew T, Raksakietisak S. Detection of forest fires and pollutant plume dispersion using IoT air quality sensors. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 338:122701. [PMID: 37804907 DOI: 10.1016/j.envpol.2023.122701] [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: 05/19/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/09/2023]
Abstract
The widespread adoption of Internet of Things (IoT) sensors has revolutionized our understanding of the formation and mitigation of air pollution, significantly improving the accuracy of predictions related to air quality and emission sources. This study demonstrates the use of IoT air quality sensors to detect forest fire incidents by focusing on an area affected by forest fires in Tak Province, Thailand, from January to May 2021. We employed PM2.5 and carbon monoxide measurements from IoT sensors for forest fire detection and utilized the number of hotspots reported through satellite and human observations to identify forest fire incidents. Our data analysis revealed three distinct periods with forest fires and three periods without fires (non-forest fires). For model training, two forest fire and non-forest fire periods were selected and the remaining periods were set aside for validation. J48, a computer algorithm that helps make decisions by organizing information into a tree-like structure based on key characteristics, was used to construct the decision-tree model. Our model achieved an accuracy rate of 72% when classifying forest fire incidents using the training data and a solid accuracy of 69% on the validation data. In addition, we investigated the dispersion of PM2.5 plumes using a regression model. Notably, our findings highlighted the robust explanatory power of the lag time in PM2.5, for predicting PM2.5, in the next 15 min. Our analysis highlights the potential of IoT-based air quality sensors to enhance forest fire detection and predict pollution plume dispersion once fires are detected.
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Affiliation(s)
- Adisorn Lertsinsrubtavee
- Internet Education and Research Laboratory (intERLab), Asian Institute of Technology, Pathum Thani, Thailand
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Popescu IM, Baditoiu LM, Reddy SR, Nalla A, Popovici ED, Margan MM, Anghel M, Laitin SMD, Toma AO, Herlo A, Fericean RM, Baghina N, Anghel A. Environmental Factors Influencing the Dynamics and Evolution of COVID-19: A Systematic Review on the Study of Short-Term Ozone Exposure. Healthcare (Basel) 2023; 11:2670. [PMID: 37830707 PMCID: PMC10572520 DOI: 10.3390/healthcare11192670] [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: 07/25/2023] [Revised: 09/25/2023] [Accepted: 09/30/2023] [Indexed: 10/14/2023] Open
Abstract
The potential influence of environmental factors, particularly air pollutants such as ozone (O3), on the dynamics and progression of COVID-19 remains a significant concern. This study aimed to systematically review and analyze the current body of literature to assess the impact of short-term ozone exposure on COVID-19 transmission dynamics and disease evolution. A rigorous systematic review was conducted in March 2023, covering studies from January 2020 to January 2023 found in PubMed, Web of Science, and Scopus. We followed the PRISMA guidelines and PROSPERO criteria, focusing exclusively on the effects of short-term ozone exposure on COVID-19. The literature search was restricted to English-language journal articles, with the inclusion and exclusion criteria strictly adhered to. Out of 4674 identified studies, 18 fulfilled the inclusion criteria, conducted across eight countries. The findings showed a varied association between short-term ozone exposure and COVID-19 incidence, severity, and mortality. Some studies reported a higher association between ozone exposure and incidence in institutional settings (OR: 1.06, 95% CI: 1.00-1.13) compared to the general population (OR: 1.00, 95% CI: 0.98-1.03). The present research identified a positive association between ozone exposure and both total and active COVID-19 cases as well as related deaths (coefficient for cases: 0.214; for recoveries: 0.216; for active cases: 0.467; for deaths: 0.215). Other studies also found positive associations between ozone levels and COVID-19 cases and deaths, while fewer reports identified a negative association between ozone exposure and COVID-19 incidence (coefficient: -0.187) and mortality (coefficient: -0.215). Conversely, some studies found no significant association between ozone exposure and COVID-19, suggesting a complex and potentially region-specific relationship. The relationship between short-term ozone exposure and COVID-19 dynamics is complex and multifaceted, indicating both positive and negative associations. These variations are possibly due to demographic and regional factors. Further research is necessary to bridge current knowledge gaps, especially considering the potential influence of short-term O3 exposure on COVID-19 outcomes and the broader implications on public health policy and preventive strategies during pandemics.
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Affiliation(s)
- Irina-Maria Popescu
- Department of Infectious Diseases, Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.-M.P.); (L.M.B.); (E.D.P.); (M.A.); (S.M.D.L.)
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Luminita Mirela Baditoiu
- Department of Infectious Diseases, Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.-M.P.); (L.M.B.); (E.D.P.); (M.A.); (S.M.D.L.)
| | - Sandhya Rani Reddy
- Department of General Medicine, Prathima Institute of Medical Sciences, Nagunur 505417, Telangana, India;
| | - Akhila Nalla
- Department of General Medicine, MNR Medical College, Sangareddy 502294, Telangana, India;
| | - Emilian Damian Popovici
- Department of Infectious Diseases, Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.-M.P.); (L.M.B.); (E.D.P.); (M.A.); (S.M.D.L.)
| | - Madalin-Marius Margan
- Department of Functional Sciences, Discipline of Public Health, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Mariana Anghel
- Department of Infectious Diseases, Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.-M.P.); (L.M.B.); (E.D.P.); (M.A.); (S.M.D.L.)
| | - Sorina Maria Denisa Laitin
- Department of Infectious Diseases, Discipline of Epidemiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania; (I.-M.P.); (L.M.B.); (E.D.P.); (M.A.); (S.M.D.L.)
| | - Ana-Olivia Toma
- Department of Dermatology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
| | - Alexandra Herlo
- Department of Infectious Diseases, Discipline of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Roxana Manuela Fericean
- Doctoral School, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
| | - Nina Baghina
- National Meteorological Administration of Romania, Soseaua Bucuresti-Ploiesti 97, 013686 Bucuresti, Romania;
| | - Andrei Anghel
- Department of Biochemistry and Pharmacology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania;
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10
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Coskun A, Demirci B, Turkdogan KA. Association of carbon monoxide poisonings and carboxyhemoglobin levels with COVID-19 and clinical severity. World J Methodol 2023; 13:248-258. [PMID: 37771862 PMCID: PMC10523238 DOI: 10.5662/wjm.v13.i4.248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/08/2023] [Accepted: 07/25/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19), which recently spread throughout the entire world, is still a significant health issue. Additionally, the most common cause of risky poisoning in emergency services is carbon monoxide (CO) poisoning. Both disorders seem to merit more research as they have an impact on all bodily systems via the lungs. AIM To determine how arterial blood gas and carboxyhemoglobin (COHb) levels affect the clinical and prognostic results of individuals requiring emergency treatment who have both COVID-19 and CO poisoning. METHODS Between January 2018 and December 2021, 479 CO-poisoning patients participated in this single-center, retrospective study. Patients were primarily divided into two groups for analysis: Pre-pandemic and pandemic periods. Additionally, the pandemic era was divided into categories based on the presence of COVID-19 and, if present, the clinical severity of the infection. The hospital information system was used to extract patient demographic, clinical, arterial blood gas, COVID-19 polymerase chain reaction, and other laboratory data. RESULTS The mean age of the 479 patients was 54.93 ± 11.51 years, and 187 (39%) were female. 226 (47%) patients were in the pandemic group and 143 (30%) of them had a history of COVID-19. While the mean potential of hydrogen (pH) in arterial blood gas of all patients was 7.28 ± 0.15, it was 7.35 ± 0.10 in the pre-pandemic group and 7.05 ± 0.16 in the severe group during the pandemic period (P < 0.001). COHb was 23.98 ± 4.19% in the outpatients and 45.26% ± 3.19% in the mortality group (P < 0.001). Partial arterial oxygen pressure (PaO2) was 89.63 ± 7.62 mmHg in the pre-pandemic group, and 79.50 ± 7.18 mmHg in the severe group during the pandemic period (P < 0.001). Despite the fact that mortality occurred in 35 (7%) of all cases, pandemic cases accounted for 30 of these deaths (85.7%) (P <0.001). The association between COHb, troponin, lactate, partial arterial pressure of carbon dioxide, HCO3, calcium, glucose, age, pH, PaO2, potassium, sodium, and base excess levels in the pre-pandemic and pandemic groups was statistically significant in univariate linear analysis. CONCLUSION Air exchange barrier disruption caused by COVID-19 may have pulmonary consequences. In patients with a history of pandemic COVID-19, clinical results and survival are considerably unfavorable in cases of CO poisoning.
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Affiliation(s)
- Abuzer Coskun
- Emergency Medicine Clinic, Istanbul Bagcilar Training and Research Hospital, Istanbul 34200, Turkey
| | - Burak Demirci
- Emergency Medicine Clinic, Istanbul Bagcilar Training and Research Hospital, Istanbul 34200, Turkey
| | - Kenan Ahmet Turkdogan
- Emergency Medicine Department, Istanbul Çam and Sakura City Hospital, Istanbul 34494, Turkey
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11
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Huang J, Kwan MP. Associations between COVID-19 risk, multiple environmental exposures, and housing conditions: A study using individual-level GPS-based real-time sensing data. APPLIED GEOGRAPHY (SEVENOAKS, ENGLAND) 2023; 153:102904. [PMID: 36816398 PMCID: PMC9928735 DOI: 10.1016/j.apgeog.2023.102904] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Few studies have used individual-level data to explore the association between COVID-19 risk with multiple environmental exposures and housing conditions. Using individual-level data collected with GPS-tracking smartphones, mobile air-pollutant and noise sensors, an activity-travel diary, and a questionnaire from two typical neighborhoods in a dense and well-developed city (i.e., Hong Kong), this study seeks to examine 1) the associations between multiple environmental exposures (i.e., different types of greenspace, PM2.5, and noise) and housing conditions (i.e., housing types, ownership, and overcrowding) with individuals' COVID-19 risk both in residential neighborhoods and along daily mobility trajectories; 2) which social groups are disadvantaged in COVID-19 risk through the perspective of the neighborhood effect averaging problem (NEAP). Using separate multiple linear regression and logistical regression models, we found a significant negative association between COVID-19 risk with greenspace (i.e., NDVI) both in residential areas and along people's daily mobility trajectories. Meanwhile, we also found that high open space and recreational land exposure and poor housing conditions were positively associated with COVID-19 risk in high-risk neighborhoods, and noise exposure was positively associated with COVID-19 risk in low-risk neighborhoods. Further, people with work places in high-risk areas and poor housing conditions were disadvantaged in COVID-19 risk.
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Affiliation(s)
- Jianwei Huang
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Mei-Po Kwan
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China
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12
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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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Pröbstl-Haider U, Gugerell K, Maruthaveeran S. Covid-19 and outdoor recreation - Lessons learned? Introduction to the special issue on "Outdoor recreation and Covid-19: Its effects on people, parks and landscapes". JOURNAL OF OUTDOOR RECREATION AND TOURISM 2023; 41:100583. [PMID: 37521268 PMCID: PMC9691452 DOI: 10.1016/j.jort.2022.100583] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/03/2022] [Accepted: 11/03/2022] [Indexed: 08/01/2023]
Abstract
The special issue presents international experiences with COVID-19 in the years 2020 and 2021 on outdoor recreation and nature-based tourism. To set the scene, a bibliometric and qualitative analysis illustrates and clusters recent publications on COVID-19. Against this background contributions from Japan, China, Brazil, Indonesia, Austria, Croatia, the United States, New Zealand, Taiwan, Australia, Sweden, Poland and Ireland draw a truly international picture of the pandemic crisis, the effects, coping behavior and related strategies. The papers contribute to the COVID-19 related research by documenting the shock in the field of outdoor recreation and tourism, by understanding the immediate consequences on behavior and the required managerial consequences and finally, by analyzing the possible follow up effects including long term effects, discussing resilient solutions and proposing new strategies. In the discussion section we try to answer the questions whether the high visitation rate in recreation facilities, forests, parks and protected areas will remain, and whether adapted visitor management concepts will be required. In addition, we discuss possible implications for urban planning and management. Finally, based on a changing connectedness to nature also possible positive effects by the pandemic are discussed which may lead to a new target group in outdoor recreation and nature-based tourism. Management implications The overview on the Covid-19 related literature suggests improvements in planning and management, such as-new concepts for destination and visitor management, considering an ongoing risk-management,-proactive urban planning and management considering short-term effects in the existing built environment as well as a long-term perspective with strategically planned green infrastructure, including not only the supply of green infrastructure, but also its accessibility, its amenities, and aspects of environmental justice,-the consideration of new target groups in tourism and outdoor recreation.
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Affiliation(s)
- Ulrike Pröbstl-Haider
- Institute of Landscape Development, Recreation and Conservation Planning, BOKU - University of Natural Resources and Life Sciences, Vienna, Peter Jordanstr.82, A - 1190 Vienna, Austria
| | - Katharina Gugerell
- Institute of Landscape Planning, BOKU - University of Natural Resources and Life Sciences, Vienna, Peter-Jordanstr. 82, 1190 Vienna, Austria
| | - Sreetheran Maruthaveeran
- University Putra Malaysia (UPM), Faculty of Architecture and Design, Department of Landscape Architecture, 43400 SERDANG SELANGOR DARUL EHSAN, Malaysia
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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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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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Environmental Pollutants PM2.5, PM10, Nitrogen Dioxide (NO 2), and Ozone (O 3) Association with the Incidence of Monkeypox Cases in European Countries. J Trop Med 2023; 2023:9075358. [PMID: 36687338 PMCID: PMC9859703 DOI: 10.1155/2023/9075358] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/28/2022] [Accepted: 12/14/2022] [Indexed: 01/15/2023] Open
Abstract
Background Monkeypox, also known as monkeypox disease, is caused by the monkeypox virus (MPXV), which is a zoonotic infection. The swift spread of human monkeypox cases has caused an alarming situation worldwide. This novel study aimed to investigate the association of particulate matter air pollutants PM2.5, PM10, Nitrogen dioxide (NO2), and Ozone (O3) on the incidence of monkeypox cases from May 1, 2022, to July 15, 2022. Methods The data on air pollutants PM2.5, PM10, NO2, and O3 and monkeypox cases were recorded from the date of occurrence of the first case of monkeypox in the United Kingdom, Spain, France, Germany, Italy, the Netherlands, Switzerland, and Portugal from May 1, 2022, to July 15, 2022. The daily concentrations of PM2.5, PM10, NO2, and O3 were recorded from the metrological website "Air Quality Index-AQI," and daily human monkeypox cases were recorded from the official website of "Our World in Data." The mean values along with simple, multiple, and Spearman Rho correlations were performed to investigate the relationship and strength of association between the concentrations of air pollutants and cases of monkeypox. Results The environmental pollutants PM2.5, PM10, NO2, and O3 were positively associated with monkeypox cases in the United Kingdom, Spain, France, Germany, Italy, the Netherlands, Switzerland, and Portugal. The analysis further revealed that for each 10-unit increase in PM2.5, PM10, and NO2, levels, the number of monkeypox cases was significantly augmented by 29.6%, 9.7%, 13%, and 80.6%, respectively. Conclusions Environmental pollutants PM2.5, PM10, NO2, and O3 have been positively linked to the number of daily monkeypox cases in European countries. Environmental pollution is a risk factor for the increasing incidence of monkeypox daily cases. The regional and international authorities must implement policies to curtail air pollution to combat the cases of monkeypox in European countries and worldwide.
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Manik S, Mandal M, Pal S. Impact of air pollutants on COVID-19 transmission: a study over different metropolitan cities in India. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2022; 25:1-13. [PMID: 35975212 PMCID: PMC9371967 DOI: 10.1007/s10668-022-02593-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/22/2022] [Indexed: 05/16/2023]
Abstract
India is affected strongly by the Coronavirus and within a short period, it becomes the second-highest country based on the infected case. Earlier, there was an indication of the impact of pollution on COVID-19 transmission from a few studies with early COVID-19 data. The study of the effect of pollution on COVID-19 in Indian metropolitan cities is ideal due to the high level of pollution and COVID-19 transmission in these cities. We study the impact of different air pollutants on the spread of coronavirus in different cities in India. A correlation is studied with daily confirmed COVID-19 cases with a daily mean of ozone, particle matter (PM) in size ≤ 10 μ m, carbon monoxide, sulfur dioxide, and nitrogen dioxide of different cities. It is found that particulate matter concentration decreases during the nationwide lockdown period and the air quality index improves for different Indian regions. A correlation between the daily confirmed cases with particulate matter (PM2.5 and PM10 both) is observed. The air quality index also shows a positive correlation with the daily confirmed cases for most of the metropolitan Indian cities. The correlation study also indicates that different air pollutants may have a role in the spread of the virus.
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Affiliation(s)
- Souvik Manik
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
| | - Manoj Mandal
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
| | - Sabyasachi Pal
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
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Yuan J, Mo L, Mo Y, Zhang Y, Zhang Y, Zhang Q. A protective role of autophagy in fine airborne particulate matter-induced apoptosis in LN-229 cells. Toxicology 2022; 477:153271. [PMID: 35872226 PMCID: PMC10825875 DOI: 10.1016/j.tox.2022.153271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/15/2022] [Accepted: 07/20/2022] [Indexed: 01/16/2023]
Abstract
Air pollution is a public health threat and global epidemiological studies have shown that ambient air pollutants are closely related to various poor health conditions, including neurodegenerative diseases. Here, we evaluated the toxic effects and the underlying mechanisms of fine airborne particulate matter (PM2.5) on human glioblastoma LN-229 cells. Our results showed that exposure of LN-229 cells to PM2.5 (≥ 200 μg/mL) significantly reduced cell viability. PM2.5 exposure increased autophagy, apoptosis, and ROS production in the cells. Pre-treatment with a ROS scavenger, catalase, or depletion of mtDNA (ρ0 cells) abolished PM2.5-induced autophagy and apoptosis. PM2.5 exposure also activated MAPK signals in cells, which were blocked by catalase pre-treatment or mtDNA depletion. Furthermore, inhibition of JNK, but not ERK1/2 or p38, attenuated PM2.5-induced autophagy and apoptosis in cells. Finally, suppression of autophagy with Bafilomycin A1 or Beclin 1 siRNA exacerbated PM2.5-induced apoptosis, indicating a protective role of autophagy against PM2.5-induced apoptosis. Our results demonstrated that exposure of LN-229 cells to PM2.5 caused autophagy and apoptosis through PM2.5-induced ROS generation, mainly by mitochondria, and JNK activation. Autophagy may have a transient protective response in PM2.5-induced apoptosis. These findings have important implications for understanding the potential neurotoxicity of PM2.5.
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Affiliation(s)
- Jiali Yuan
- Department of Epidemiology & Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
| | - Luke Mo
- duPont Manual High School, Louisville, KY, USA
| | - Yiqun Mo
- Department of Epidemiology & Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
| | - Yuanbao Zhang
- Department of Epidemiology & Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
| | - Yue Zhang
- Department of Epidemiology & Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
| | - Qunwei Zhang
- Department of Epidemiology & Population Health, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA.
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Broomandi P, Crape B, Jahanbakhshi A, Janatian N, Nikfal A, Tamjidi M, Kim JR, Middleton N, Karaca F. Assessment of the association between dust storms and COVID-19 infection rate in southwest Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:36392-36411. [PMID: 35060047 PMCID: PMC8776378 DOI: 10.1007/s11356-021-18195-7] [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: 09/21/2021] [Accepted: 12/14/2021] [Indexed: 05/21/2023]
Abstract
This study assesses a plausible correlation between a dust intrusion episode and a daily increase in COVID-19 cases. A surge in COVID-19 cases was observed a few days after a Middle East Dust (MED) event that peaked on 25th April 2020 in southwest Iran. To investigate potential causal factors for the spike in number of cases, cross-correlations between daily combined aerosol optical depths (AODs) and confirmed cases were computed for Khuzestan, Iran. Additionally, atmospheric stability data time series were assessed by covering before, during, and after dust intrusion, producing four statistically clustered distinct city groups. Groups 1 and 2 had different peak lag times of 10 and 4-5 days, respectively. Since there were statistically significant associations between AOD levels and confirmed cases in both groups, dust incursion may have increased population susceptibility to COVID-19 disease. Group 3 was utilized as a control group with neither a significant level of dust incursion during the episodic period nor any significant associations. Group 4 cities, which experienced high dust incursion levels, showed no significant correlation with confirmed case count increases. Random Forest Analysis assessed the influence of wind speed and AOD, showing relative importance of 0.31 and 0.23 on the daily increase percent of confirmed cases, respectively. This study may serve as a reference for better understanding and predicting factors affecting COVID-19 transmission and diffusion routes, focusing on the role of MED intrusions.
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Affiliation(s)
- Parya Broomandi
- Department of Civil and Environmental Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan, 010000
- Department of Chemical Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran
| | - Byron Crape
- Department of Medicine, School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan, 010000
| | - Ali Jahanbakhshi
- Environmental Centre, Lancaster University, Lancaster, LA1 4YQ, UK
| | - Nasime Janatian
- Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
- Department of Evolutionary Biology, Ecology and Environmental Sciences, University of Barcelona, Barcelona, Spain
| | | | - Mahsa Tamjidi
- Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran
| | - Jong R Kim
- Department of Civil and Environmental Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan, 010000.
| | - Nick Middleton
- St Anne's College, University of Oxford, Oxford, OX2 6HS, UK
| | - Ferhat Karaca
- Department of Civil and Environmental Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan, 010000
- The Environment and Resource Efficiency Cluster (EREC), Nazarbayev University, Nur-Sultan, Kazakhstan, 010000
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Li Z, Tao B, Hu Z, Yi Y, Wang J. Effects of short-term ambient particulate matter exposure on the risk of severe COVID-19. J Infect 2022; 84:684-691. [PMID: 35120974 PMCID: PMC8806393 DOI: 10.1016/j.jinf.2022.01.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 01/17/2023]
Abstract
OBJECTIVES Previous studies have suggested a relationship between outdoor air pollution and the risk of coronavirus disease 2019 (COVID-19). However, there is a lack of data related to the severity of disease, especially in China. This study aimed to explore the association between short-term exposure to outdoor particulate matter (PM) and the risk of severe COVID-19. METHODS We recruited patients diagnosed with COVID-19 during a recent large-scale outbreak in eastern China caused by the Delta variant. We collected data on meteorological factors and ambient air pollution during the same time period and in the same region where the cases occurred and applied a generalized additive model (GAM) to analyze the effects of short-term ambient PM exposure on the risk of severe COVID-19. RESULTS A total of 476 adult patients with confirmed COVID-19 were recruited, of which 42 (8.82%) had severe disease. With a unit increase in PM10, the risk of severe COVID-19 increased by 81.70% (95% confidence interval [CI]: 35.45, 143.76) at a lag of 0-7 days, 86.04% (95% CI: 38.71, 149.53) at a lag of 0-14 days, 76.26% (95% CI: 33.68, 132.42) at a lag of 0-21 days, and 72.15% (95% CI: 21.02, 144.88) at a lag of 0-28 days. The associations remained significant at lags of 0-7 days, 0-14 days, and 0-28 days in the multipollutant models. With a unit increase in PM2.5, the risk of severe COVID-19 increased by 299.08% (95% CI: 92.94, 725.46) at a lag of 0-7 days, 289.23% (95% CI: 85.62, 716.20) at a lag of 0-14 days, 234.34% (95% CI: 63.81, 582.40) at a lag of 0-21 days, and 204.04% (95% CI: 39.28, 563.71) at a lag of 0-28 days. The associations were still significant at lags of 0-7 days, 0-14 days, and 0-28 days in the multipollutant models. CONCLUSIONS Our results indicated that short-term exposure to outdoor PM was positively related to the risk of severe COVID-19, and that reducing air pollution may contribute to the control of COVID-19.
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Affiliation(s)
- Zhongqi Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166 China
| | - Bilin Tao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166 China
| | - Zhiliang Hu
- Nanjing Public Health Medical Center, the Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003 China
| | - Yongxiang Yi
- Nanjing Public Health Medical Center, the Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003 China
| | - Jianming Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166 China,Corresponding author at: 101 Longmian Ave., Nanjing 211166, China
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21
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Cortes-Ramirez J, Michael RN, Knibbs LD, Bambrick H, Haswell MR, Wraith D. The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 809:151158. [PMID: 34695471 PMCID: PMC8532327 DOI: 10.1016/j.scitotenv.2021.151158] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 10/17/2021] [Accepted: 10/18/2021] [Indexed: 06/11/2023]
Abstract
The 2020 COVID-19 outbreak in New South Wales (NSW), Australia, followed an unprecedented wildfire season that exposed large populations to wildfire smoke. Wildfires release particulate matter (PM), toxic gases and organic and non-organic chemicals that may be associated with increased incidence of COVID-19. This study estimated the association of wildfire smoke exposure with the incidence of COVID-19 in NSW. A Bayesian mixed-effect regression was used to estimate the association of either the average PM10 level or the proportion of wildfire burned area as proxies of wildfire smoke exposure with COVID-19 incidence in NSW, adjusting for sociodemographic risk factors. The analysis followed an ecological design using the 129 NSW Local Government Areas (LGA) as the ecological units. A random effects model and a model including the LGA spatial distribution (spatial model) were compared. A higher proportional wildfire burned area was associated with higher COVID-19 incidence in both the random effects and spatial models after adjustment for sociodemographic factors (posterior mean = 1.32 (99% credible interval: 1.05-1.67) and 1.31 (99% credible interval: 1.03-1.65), respectively). No evidence of an association between the average PM10 level and the COVID-19 incidence was found. LGAs in the greater Sydney and Hunter regions had the highest increase in the risk of COVID-19. This study identified wildfire smoke exposures were associated with increased risk of COVID-19 in NSW. Research on individual responses to specific wildfire airborne particles and pollutants needs to be conducted to further identify the causal links between SARS-Cov-2 infection and wildfire smoke. The identification of LGAs with the highest risk of COVID-19 associated with wildfire smoke exposure can be useful for public health prevention and or mitigation strategies.
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Affiliation(s)
- J Cortes-Ramirez
- School of Public Health and Social Work, Queensland University of Technology, Australia; Centre for Data Science, Queensland University of Technology, Australia.
| | - R N Michael
- School of Engineering and Built Environment, Griffith University, Australia; Cities Research Institute, Griffith University, Australia
| | - L D Knibbs
- School of Public Health, The University of Sydney, Australia
| | - H Bambrick
- School of Public Health and Social Work, Queensland University of Technology, Australia
| | - M R Haswell
- School of Public Health and Social Work, Queensland University of Technology, Australia; Office of the Deputy Vice Chancellor (Indigenous Strategy and Services), The University of Sydney, Australia; School of Geosciences, Faculty of Science, The University of Sydney, Australia
| | - D Wraith
- School of Public Health and Social Work, Queensland University of Technology, Australia
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22
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Shao L, Cao Y, Jones T, Santosh M, Silva LFO, Ge S, da Boit K, Feng X, Zhang M, BéruBé K. COVID-19 mortality and exposure to airborne PM 2.5: A lag time correlation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:151286. [PMID: 34743816 PMCID: PMC8553633 DOI: 10.1016/j.scitotenv.2021.151286] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 10/07/2021] [Accepted: 10/23/2021] [Indexed: 05/05/2023]
Abstract
COVID-19 has escalated into one of the most serious crises in the 21st Century. Given the rapid spread of SARS-CoV-2 and its high mortality rate, here we investigate the impact and relationship of airborne PM2.5 to COVID-19 mortality. Previous studies have indicated that PM2.5 has a positive relationship with the spread of COVID-19. To gain insights into the delayed effect of PM2.5 concentration (μgm-3) on mortality, we focused on the role of PM2.5 in Wuhan City in China and COVID-19 during the period December 27, 2019 to April 7, 2020. We also considered the possible impact of various meteorological factors such as temperature, precipitation, wind speed, atmospheric pressure and precipitation on pollutant levels. The results from the Pearson's correlation coefficient analyses reveal that the population exposed to higher levels of PM2.5 pollution are susceptible to COVID-19 mortality with a lag time of >18 days. By establishing a generalized additive model, the delayed effect of PM2.5 on the death toll of COVID-19 was verified. A negative correction was identified between temperature and number of COVID-19 deaths, whereas atmospheric pressure exhibits a positive correlation with deaths, both with a significant lag effect. The results from our study suggest that these epidemiological relationships may contribute to the understanding of the COVID-19 pandemic and provide insights for public health strategies.
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Affiliation(s)
- Longyi Shao
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
| | - Yaxin Cao
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Tim Jones
- School of Earth and Environmental Sciences, Cardiff University, Park Place, Cardiff CF10 3AT, UK
| | - M Santosh
- School of Earth Sciences and Resources, China University of Geoscience Beijing, Beijing 100083, China; Department of Earth Science, University of Adelaide, Adelaide, SA 5005, Australia
| | - Luis F O Silva
- Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, 080002 Barranquilla, Atlántico, Colombia
| | - Shuoyi Ge
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Kátia da Boit
- Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, 080002 Barranquilla, Atlántico, Colombia
| | - Xiaolei Feng
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Mengyuan Zhang
- State Key Laboratory of Coal Resources and Safe Mining, College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Kelly BéruBé
- School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, Wales, UK
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Penman TD, McColl-Gausden SC, Cirulis BA, Kultaev D, Ababei DA, Bennett LT. Improved accuracy of wildfire simulations using fuel hazard estimates based on environmental data. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 301:113789. [PMID: 34592661 DOI: 10.1016/j.jenvman.2021.113789] [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: 05/20/2021] [Revised: 08/26/2021] [Accepted: 09/18/2021] [Indexed: 06/13/2023]
Abstract
Wildfire extent and their impacts are increasing around the world. Fire management agencies use fire behaviour simulation models operationally (during a wildfire event) or strategically for risk assessment and treatment. These models provide agencies with increased knowledge of fire potential to improve identification of the best strategies for reducing risk. One of the greatest areas of uncertainty in fire simulations is the data relating to fuel, which are usually based on simplified response trajectories with time since fire within vegetation communities. There is a clear need to better predict relevant fuel variables across landscapes to reduce uncertainties in fire simulations. In this study, we compare the performance of fuel hazard models based on environmental variables (environmental model) with those currently implemented based on a negative exponential relationship with time since fire (NEGEXP) using the state of Victoria in south-eastern Australia as an environmentally diverse case study. The models predicted similar broadscale patterns in fuel hazard but with considerable regional variation. The NEGEXP model was less accurate than the environmental model, which had 41-47% accuracy on an independent data set cf. 24-35% for NEGEXP. Model differences resulted in significant differences in the extent and spatial location of predicted fires with NEGEXP consistently predicting larger fires. Fuel is made up of the live and dead components of vegetation, both of which are influenced by a range of environmental factors. As our study highlights, ignoring environmental factors in simple fuel models based on broad vegetation types (like NEGEXP) will likely compromise the predictive accuracy of fire behaviour models. Only when environmental factors are accounted for can we more accurately predict fuels across landscapes and thereby improve the accuracy of fire behaviour predictions and the estimation of fire risks.
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Affiliation(s)
- T D Penman
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia.
| | - S C McColl-Gausden
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia
| | - B A Cirulis
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia
| | - D Kultaev
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia
| | - D A Ababei
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia
| | - L T Bennett
- School of Ecosystem and Forest Sciences, University of Melbourne, Victoria, Australia
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24
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Meo SA, Ahmed Alqahtani S, Saad Binmeather F, Abdulrhman AlRasheed R, Mohammed Aljedaie G, Mohammed Albarrak R. Effect of environmental pollutants PM2.5, CO, O 3 and NO 2, on the incidence and mortality of SARS-COV-2 in largest metropolitan cities, Delhi, Mumbai and Kolkata, India. JOURNAL OF KING SAUD UNIVERSITY. SCIENCE 2022; 34:101687. [PMID: 34744393 PMCID: PMC8564952 DOI: 10.1016/j.jksus.2021.101687] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 10/12/2021] [Accepted: 10/30/2021] [Indexed: 05/28/2023]
Abstract
OBJECTIVES The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has developed a challenging situation worldwide. In India, the SARS-CoV-2 cases and deaths have markedly increased. This study aims to evaluate the impact of environmental pollutants "particulate matter (PM 2.5 μm), carbon monoxide (CO), Ozone (O3), and Nitrogen Dioxide (NO2) on daily cases and deaths due to SARS-CoV-2 infection" in Delhi, Mumbai, and Kolkata, India. METHODS The day-to-day air pollutants PM2.5, CO, O3, and NO2 were recorded from the metrological web "Real-time Air Quality Index (AQI)." SARS-COV-2 everyday cases and deaths were obtained from the "Coronavirus outbreak in India Web". The PM 2.5, CO, O3, NO2, and daily cases, deaths were documented for more than one year, from March 2, 2020, to March 15, 2021. RESULTS Environmental pollutants CO, O3, and NO2, were positively related to SARS-COV-2 cases and deaths. The findings further described that for each one-unit increase in CO, O3, and NO2 levels, the number of cases was significantly augmented by 0.77%, 0.45%, and 4.33%. CONCLUSIONS Environmental pollution is a risk factor to SARS-CoV-2 daily cases and deaths. The regional and international authorities must implement the policies to reduce air pollution and the COVID-19 pandemic. The findings can inform health policymakers' verdicts about battling the COVID-19 pandemic in India and globally by minimizing environmental pollution.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Sara Ahmed Alqahtani
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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25
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The effects of air pollution, meteorological parameters, and climate change on COVID-19 comorbidity and health disparities: A systematic review. ENVIRONMENTAL CHEMISTRY AND ECOTOXICOLOGY 2022; 4. [PMCID: PMC9568272 DOI: 10.1016/j.enceco.2022.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Air pollutants, especially particulate matter, and other meteorological factors serve as important carriers of infectious microbes and play a critical role in the spread of disease. However, there remains uncertainty about the relationship among particulate matter, other air pollutants, meteorological conditions and climate change and the spread of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), hereafter referred to as COVID-19. A systematic review was conducted using PRISMA guidelines to identify the relationship between air quality, meteorological conditions and climate change, and COVID-19 risk and outcomes, host related factors, co-morbidities and disparities. Out of a total of 170,296 scientific publications screened, 63 studies were identified that focused on the relationship between air pollutants and COVID-19. Additionally, the contribution of host related-factors, co-morbidities, and health disparities was discussed. This review found a preponderance of evidence of a positive relationship between PM2.5, other air pollutants, and meteorological conditions and climate change on COVID-19 risk and outcomes. The effects of PM2.5, air pollutants, and meteorological conditions on COVID-19 mortalities were most commonly experienced by socially disadvantaged and vulnerable populations. Results however, were not entirely consistent, and varied by geographic region and study. Opportunities for using data to guide local response to COVID-19 are identified.
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26
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Anser MK, Godil DI, Khan MA, Nassani AA, Askar SE, Zaman K, Salamun H, Indrianti Y, Abro MMQ. Nonlinearity in the relationship between COVID-19 cases and carbon damages: controlling financial development, green energy, and R&D expenditures for shared prosperity. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:5648-5660. [PMID: 34424465 PMCID: PMC8381145 DOI: 10.1007/s11356-021-15978-w] [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: 03/13/2021] [Accepted: 08/11/2021] [Indexed: 05/29/2023]
Abstract
The world faces a high alert of coronavirus disease 2019 (COVID-19), leading to a million deaths and could become infected to reach a billion numbers. A sizeable amount of scholarly work has been available on different aspects of social-economic and environmental factors. At the same time, many of these studies found the linear (direct) causation between the stated factors. In many cases, the direct relationship is not apparent. The world is unsure about the possible determining factors of the COVID-19 pandemic, which need to be known through conducting nonlinearity (indirect) relationships, which caused the pandemic crisis. The study examined the nonlinear relationship between COVID-19 cases and carbon damages, managing financial development, renewable energy consumption, and innovative capability in a cross section of 65 countries. The results show that inbound foreign direct investment first increases and later decreases because of the increasing coronavirus cases. Further, the rise and fall in the research and development expenditures and population density exhibits increasing coronavirus cases across countries. The continued economic growth initial decreases later increase by adopting standardized operating procedures to contain coronavirus disease. The inter-temporal relationship shows that green energy source and carbon damages would likely influence the coronavirus cases with a variance of 17.127% and 5.440%, respectively, over a time horizon. The policymakers should be carefully designing sustainable healthcare policies, as the cost of carbon emissions leads to severe healthcare issues, which are likely to get exposed to contagious diseases, including COVID-19. The sustainable policy instruments, including renewable fuels in industrial production, advancement in cleaner production technologies, the imposition of carbon taxes on dirty production, and environmental certifications, are a few possible remedies that achieve healthcare sustainability agenda globally.
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Affiliation(s)
- Muhammad Khalid Anser
- School of Public Administration, Xi’an University of Architecture and Technology, Xi’an, 710000 China
| | | | - Muhammad Azhar Khan
- Department of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa Pakistan
| | - Abdelmohsen A. Nassani
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia
| | - Sameh E. Askar
- Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 11451, Riyadh, 11587 Saudi Arabia
| | - Khalid Zaman
- Department of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa Pakistan
| | - Hailan Salamun
- Centre for Foundation and Continuing Education (PPAL), Universiti Malaysia Terengganu (UMT), 21300 Kuala, Terengganu Malaysia
| | - Yasinta Indrianti
- Entrepreneurship Department, Podomoro University, Jakarta, 11470 Indonesia
| | - Muhammad Moinuddin Qazi Abro
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia
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27
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Rong X, Peng Y, Liu C, Li M, Shi J, Yu M, Ba S, Sheng W, Zhu B. A novel highly sensitive fluorescent probe for imaging endogenous CO. NEW J CHEM 2022. [DOI: 10.1039/d2nj04920a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
A highly sensitive and selective fluorescent probe was constructed to detect carbon monoxide in living cells and zebrafish.
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Affiliation(s)
- Xiaodi Rong
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Yiyuan Peng
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Caiyun Liu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Mingzhu Li
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Jiafan Shi
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Miaohui Yu
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Shuaikang Ba
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Wenlong Sheng
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Baocun Zhu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
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28
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Páez-Osuna F, Valencia-Castañeda G, Rebolledo UA. The link between COVID-19 mortality and PM 2.5 emissions in rural and medium-size municipalities considering population density, dust events, and wind speed. CHEMOSPHERE 2022; 286:131634. [PMID: 34325266 PMCID: PMC8296377 DOI: 10.1016/j.chemosphere.2021.131634] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 05/02/2023]
Abstract
One contemporary issue is how environmental pollution and climate can affect the dissemination and severity of COVID-19 in humans. We documented the first case of association between particulate matter ≤2.5 μm (PM2.5) and COVID-19 mortality rates that involved rural and medium-sized municipalities in northwestern Mexico, where direct air quality monitoring is absent. Alternatively, anthropogenic PM2.5 emissions were used to estimate the PM2.5 exposure in each municipality using two scenarios: 1) considering the fraction derived from combustion of vehicle fuel; and 2) the one derived from modeled anthropogenic sources. This study provides insights to better understand and face future pandemics by examining the relation between PM2.5 pollution and COVID-19 mortality considering the population density and the wind speed. The main findings are: (i) municipalities with high PM2.5 emissions and high population density have a higher COVID-19 mortality rate; (ii) the exceptionally high COVID-19 mortality rates of the rural municipalities could be associated to dust events, which are common in these regions where soils without vegetation are dominant; and (iii) the influence of wind speed on COVID-19 mortality rate was evidenced only in municipalities with <100 inhabitants per km2. These results confirm the suggestion that high levels of air pollutants associated with high population density and an elevated frequency of dust events may promote an extended prevalence and severity of viral particles in the polluted air of urban, suburban, and rural communities. This supports an additional means of dissemination of the coronavirus SARS-CoV-2, in addition to the direct human-to-human transmission.
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Affiliation(s)
- Federico Páez-Osuna
- Universidad Nacional Autónoma de México, Instituto de Ciencias del Mar y Limnología, Unidad Académica Mazatlán, P.O. Box 811, Mazatlán, 82000, Sinaloa, Mexico; Miembro de El Colegio de Sinaloa, Antonio Rosales 435 Poniente, Culiacán, Sinaloa, Mexico.
| | - Gladys Valencia-Castañeda
- Universidad Nacional Autónoma de México, Instituto de Ciencias del Mar y Limnología, Unidad Académica Mazatlán, P.O. Box 811, Mazatlán, 82000, Sinaloa, Mexico
| | - Uriel Arreguin Rebolledo
- Universidad Nacional Autónoma de México, Instituto de Ciencias del Mar y Limnología, Unidad Académica Mazatlán, P.O. Box 811, Mazatlán, 82000, Sinaloa, Mexico
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29
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Marquès M, Domingo JL. Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences. ENVIRONMENTAL RESEARCH 2022; 203:111930. [PMID: 34425111 PMCID: PMC8378989 DOI: 10.1016/j.envres.2021.111930] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 08/19/2021] [Indexed: 05/04/2023]
Abstract
In June 2020, we published a review focused on assessing the influence of various air pollutants on the transmission of SARS-CoV-2, and the severity of COVID-19 in patients infected by the coronavirus. The results of most of those reviewed studies suggested that chronic exposure to certain air pollutants might lead to more severe and lethal forms of COVID-19, as well as delays/complications in the recovery of the patients. Since then, a notable number of studies on this topic have been published, including also various reviews. Given the importance of this issue, we have updated the information published since our previous review. Taking together the previous results and those of most investigations now reviewed, we have concluded that there is a significant association between chronic exposure to various outdoor air pollutants: PM2.5, PM10, O3, NO2, SO2 and CO, and the incidence/risk of COVID-19 cases, as well as the severity/mortality of the disease. Unfortunately, studies on the potential influence of other important air pollutants such as VOCs, dioxins and furans, or metals, are not available in the scientific literature. In relation to the influence of outdoor air pollutants on the transmission of SARS-CoV-2, although the scientific evidence is much more limited, some studies point to PM2.5 and PM10 as potential airborne transmitters of the virus. Anyhow, it is clear that environmental air pollution plays an important negative role in COVID-19, increasing its incidence and mortality.
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Affiliation(s)
- Montse Marquès
- Laboratory of Toxicology and Environmental Health, Universitat Rovira i Virgili, School of Medicine, Sant Llorens 21, 43201, Reus, Catalonia, Spain.
| | - José L Domingo
- Laboratory of Toxicology and Environmental Health, Universitat Rovira i Virgili, School of Medicine, Sant Llorens 21, 43201, Reus, Catalonia, Spain
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30
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Meo SA, Almutairi FJ, Abukhalaf AA, Usmani AM. Effect of Green Space Environment on Air Pollutants PM2.5, PM10, CO, O 3, and Incidence and Mortality of SARS-CoV-2 in Highly Green and Less-Green Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182413151. [PMID: 34948761 PMCID: PMC8700925 DOI: 10.3390/ijerph182413151] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/27/2021] [Accepted: 12/08/2021] [Indexed: 12/23/2022]
Abstract
Worldwide, over half of the global population is living in urban areas. The metropolitan areas are highly populated and environmentally non-green regions on the planet. In green space regions, plants, grass, and green vegetation prevent soil erosion, absorb air pollutants, provide fresh and clean air, and minimize the burden of diseases. Presently, the entire world is facing a turmoil situation due to the COVID-19 pandemic. This study investigates the effect of the green space environment on air pollutants particulate matter PM2.5, PM10, carbon monoxide (CO), ozone (O3), incidence and mortality of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) in environmentally highly green and less-green countries. We randomly selected 17 countries based on the Environmental Performance Index (EPI) data. The 60% of the EPI score is based on seven categories: "biodiversity and habitat, ecosystem, fisheries, climate change, pollution emissions, agriculture, and water resources". However, 40% of the score is based on four categories: "air quality, sanitation and drinking water, heavy metals, and waste management". The air pollutants and SARS-CoV-2 cases and deaths were recorded from 25 January 2020, to 11 July 2021. The air pollutants "PM2.5, PM10, CO, and O3" were recorded from the metrological websites, Air Quality Index-AQI, 2021. The COVID-19 daily cases and deaths were obtained from the World Health Organization. The result reveals that air pollutants mean values for PM2.5 110.73 ± 1.09 vs. 31.35 ± 0.29; PM10 80.43 ± 1.11 vs. 17.78 ± 0.15; CO 7.92 ± 0.14 vs. 2.35 ± 0.03 were significantly decreased (p < 0.0001) in environmentally highly green space countries compared to less-green countries. Moreover, SARS-CoV-2 cases 15,713.61 ± 702.42 vs. 3445.59 ± 108.09; and deaths 297.56 ± 11.27 vs. 72.54 ± 2.61 were also significantly decreased in highly green countries compared to less-green countries. The green environment positively impacts human wellbeing. The policymakers must implement policies to keep the living areas, surroundings, towns, and cities clean and green to minimize air pollution and combat the present pandemic of COVID-19.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (F.J.A.); (A.A.A.)
- Correspondence: or
| | - Faris Jamal Almutairi
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (F.J.A.); (A.A.A.)
| | - Abdulelah Adnan Abukhalaf
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (F.J.A.); (A.A.A.)
| | - Adnan Mahmood Usmani
- Diabetic Unit, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia;
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Assessment of Smoke Pollution Caused by Wildfires in the Baikal Region (Russia). ATMOSPHERE 2021. [DOI: 10.3390/atmos12121542] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Climate change has increased the prevalence of wildfires, resulting in longer fire seasons and larger geographic area burned. The aim of this work was to assess the air pollution and health risk to the population caused during exposure to smoke in fire season. The study design included: an analysis of long-term air pollution to determine background levels; an analysis of short-term (<24 h) and subchronic (10–14 days) concentrations during wildfires; and an assessment of the health risk in the industrial center of the Baikal region (Russia). In Irkutsk, at a distance of 2000 km from the fire focal points, the maximum short-term concentrations of pollution were noted during the smoke period, when the average CO level increased 2.4 times, and PM1 increased 1.4 times relative to the background levels in August 2021. In Bratsk, located near the fires, the increases in short-term concentrations were: CO—21.0; SO2—13.0; formaldehyde—12.0; TPM—4.4 times. The hazard indices of respiratory and coronary diseases in the burning period exceeded the acceptable level. Acute reactions to smoke can be expected in 30% of the exposed population near fires and 11% in remote areas (Bratsk). The results obtained from the remote sensing of atmospheric smoke can be used to urgently resolve the issue of organizing medical assistance or evacuating the population groups most sensitive to the effects of smoke in fire season.
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Kostoff RN, Briggs MB, Kanduc D, Shores DR, Kovatsi L, Drakoulis N, Porter AL, Tsatsakis A, Spandidos DA. Contributing factors common to COVID‑19 and gastrointestinal cancer. Oncol Rep 2021; 47:16. [PMID: 34779496 PMCID: PMC8611322 DOI: 10.3892/or.2021.8227] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/04/2021] [Indexed: 12/11/2022] Open
Abstract
The devastating complications of coronavirus disease 2019 (COVID-19) result from the dysfunctional immune response of an individual following the initial severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Multiple toxic stressors and behaviors contribute to underlying immune system dysfunction. SARS-CoV-2 exploits the dysfunctional immune system to trigger a chain of events, ultimately leading to COVID-19. The authors have previously identified a number of contributing factors (CFs) common to myriad chronic diseases. Based on these observations, it was hypothesized that there may be a significant overlap between CFs associated with COVID-19 and gastrointestinal cancer (GIC). Thus, in the present study, a streamlined dot-product approach was used initially to identify potential CFs that affect COVID-19 and GIC directly (i.e., the simultaneous occurrence of CFs and disease in the same article). The nascent character of the COVID-19 core literature (~1-year-old) did not allow sufficient time for the direct effects of numerous CFs on COVID-19 to emerge from laboratory experiments and epidemiological studies. Therefore, a literature-related discovery approach was used to augment the COVID-19 core literature-based ‘direct impact’ CFs with discovery-based ‘indirect impact’ CFs [CFs were identified in the non-COVID-19 biomedical literature that had the same biomarker impact pattern (e.g., hyperinflammation, hypercoagulation, hypoxia, etc.) as was shown in the COVID-19 literature]. Approximately 2,250 candidate direct impact CFs in common between GIC and COVID-19 were identified, albeit some being variants of the same concept. As commonality proof of concept, 75 potential CFs that appeared promising were selected, and 63 overlapping COVID-19/GIC potential/candidate CFs were validated with biological plausibility. In total, 42 of the 63 were overlapping direct impact COVID-19/GIC CFs, and the remaining 21 were candidate GIC CFs that overlapped with indirect impact COVID-19 CFs. On the whole, the present study demonstrates that COVID-19 and GIC share a number of common risk/CFs, including behaviors and toxic exposures, that impair immune function. A key component of immune system health is the removal of those factors that contribute to immune system dysfunction in the first place. This requires a paradigm shift from traditional Western medicine, which often focuses on treatment, rather than prevention.
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Affiliation(s)
- Ronald Neil Kostoff
- School of Public Policy, Georgia Institute of Technology, Gainesville, VA 20155, USA
| | | | - Darja Kanduc
- Department of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, I‑70125 Bari, Italy
| | - Darla Roye Shores
- Department of Pediatrics, Division of Gastroenterology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Leda Kovatsi
- Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Nikolaos Drakoulis
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15771 Athens, Greece
| | | | - Aristidis Tsatsakis
- Department of Forensic Sciences and Toxicology, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece
| | - Demetrios A Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71003 Heraklion, Greece
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Meo SA, Almutairi FJ, Abukhalaf AA, Alessa OM, Al-Khlaiwi T, Meo AS. Sandstorm and its effect on particulate matter PM 2.5, carbon monoxide, nitrogen dioxide, ozone pollutants and SARS-CoV-2 cases and deaths. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 795:148764. [PMID: 34252765 DOI: 10.1016/j.scitotenv.2021.148764] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 05/10/2023]
Abstract
Sandstorms are a natural metrological phenomenon, frequently occurring in many arid and semi-arid regions of the world. The sandstorm dust contains environmental pollutants, microorganisms including bacteria, fungi, and viruses. These events are the primary sources of air pollution and its long-distance transport. Thus, sandstorms are becoming a greater concern during the COVID-19 pandemic. Therefore, this novel study aimed to investigate the effect of a sandstorm on "environmental pollutants particulate matter (PM2.5), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), and day-to-day new cases and deaths due to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection" in Riyadh, Saudi Arabia. On March 12, 2021, a sandstorm occurred in the Riyadh region, the capital city of Saudi Arabia. The data on PM 2.5, CO, NO2, and O3 were recorded three weeks before and three weeks after the onset of the sandstorm, from February 20, 2021, to March 12, 2021, and from March 13 to April 2, 2021. The daily PM2.5, CO, NO2, and O3 levels were documented from the metrological websites, and Air Quality Index-AQI, COVID-19 daily cases, and deaths were obtained from Saudi Arabia's official coronavirus website. After sandstorm, the air pollutants, CO level increased by 84.25%; PM2.5: 76.71%; O3: 40.41%; NO2: 12.03%; and SARS-CoV-2 cases increased by 33.87%. However, the number of deaths decreased by 22.39%. The sandstorm event significantly increased the air pollutants, PM2.5, CO, and O3, which were temporally associated with increased SARS-COV-2 cases. However, no significant difference was noticed in NO2 and the number of deaths after the sandstorm. The findings have an important message to health authorities to timely provide information to the public about the sandstorm and its associated health problems, including SARS-CoV-2 cases and deaths.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
| | - Faris Jamal Almutairi
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | - Omar Mohammed Alessa
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Thamir Al-Khlaiwi
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Anusha Sultan Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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Ali N, Fariha KA, Islam F, Mishu MA, Mohanto NC, Hosen MJ, Hossain K. Exposure to air pollution and COVID-19 severity: A review of current insights, management, and challenges. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2021; 17:1114-1122. [PMID: 33913626 PMCID: PMC8239695 DOI: 10.1002/ieam.4435] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 03/29/2021] [Accepted: 04/19/2021] [Indexed: 05/12/2023]
Abstract
Several epidemiological studies have suggested a link between air pollution and respiratory tract infections. The outbreak of coronavirus disease 2019 (COVID-19) poses a great threat to public health worldwide. However, some parts of the globe have been worse affected in terms of prevalence and deaths than others. The causes and conditions of such variations have yet to be explored. Although some studies indicated a possible correlation between air pollution and COVID-19 severity, there is yet insufficient data for a meaningful answer. This review summarizes the impact of air pollution on COVID-19 infections and severity and discusses the possible management strategies and challenges involved. The available literature investigating the correlation between air pollution and COVID-19 infections and mortality are included in the review. The studies reviewed here suggest that exposure to air pollution, particularly to PM2.5 and NO2 , is positively correlated with COVID-19 infections and mortality. Some data indicate that air pollution can play an important role in the airborne transmission of SARS-CoV-2. A high percentage of COVID-19 incidences has been reported in the most polluted areas, where patients needed hospital admission. The available data also show that both short-term and long-term air pollution may enhance COVID-19 severity. However, most of the studies that showed a link between air pollution and COVID-19 infections and mortality did not consider potential confounders during the correlation analysis. Therefore, more specific studies need to be performed focusing on some additional confounders such as individual age, population density, and pre-existing comorbidities to determine the impact of air pollution on COVID-19 infections and deaths. Integr Environ Assess Manag 2021;17:1114-1122. © 2021 SETAC.
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Affiliation(s)
- Nurshad Ali
- Department of Biochemistry and Molecular BiologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Khandaker A. Fariha
- Department of Biochemistry and Molecular BiologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Farjana Islam
- Department of Biochemistry and Molecular BiologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Moshiul A. Mishu
- Department of Biochemistry and Molecular BiologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Nayan C. Mohanto
- Department of Biochemistry and Molecular BiologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Mohammad J. Hosen
- Department of Genetic Engineering and BiotechnologyShahjalal University of Science and TechnologySylhetBangladesh
| | - Khaled Hossain
- Department of Biochemistry and Molecular BiologyUniversity of RajshahiRajshahiBangladesh
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Curtis L. PM 2.5, NO 2, wildfires, and other environmental exposures are linked to higher Covid 19 incidence, severity, and death rates. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:54429-54447. [PMID: 34410599 PMCID: PMC8374108 DOI: 10.1007/s11356-021-15556-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 07/17/2021] [Indexed: 05/09/2023]
Abstract
Numerous studies have linked outdoor levels of PM2.5, PM10, NO2, O3, SO2, and other air pollutants to significantly higher rates of Covid 19 morbidity and mortality, although the rate in which specific concentrations of pollutants increase Covid 19 morbidity and mortality varies widely by specific country and study. As little as a 1-μg/m3 increase in outdoor PM2.5 is estimated to increase rates of Covid 19 by as much as 0.22 to 8%. Two California studies have strongly linked heavy wildfire burning periods with significantly higher outdoor levels of PM2.5 and CO as well as significantly higher rates of Covid 19 cases and deaths. Active smoking has also been strongly linked significantly increased risk of Covid 19 severity and death. Other exposures possibly related to greater risk of Covid 19 morbidity and mortality include incense, pesticides, heavy metals, dust/sand, toxic waste sites, and volcanic emissions. The exact mechanisms in which air pollutants increase Covid 19 infections are not fully understood, but are probably related to pollutant-related oxidation and inflammation of the lungs and other tissues and to the pollutant-driven alternation of the angiotensin-converting enzyme 2 in respiratory and other cells.
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Affiliation(s)
- Luke Curtis
- East Carolina University, Greenville, NC, 5371 Knollwood Parkway Court #F, Hazelwood, MO, 63042, USA.
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36
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Ting MJ, Tsai YH, Chuang SP, Wang PH, Cheng SL. Is PM 2.5 associated with emergency department visits for mechanical ventilation in acute exacerbation of chronic obstructive pulmonary disease? Am J Emerg Med 2021; 50:566-573. [PMID: 34583244 DOI: 10.1016/j.ajem.2021.09.024] [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: 04/21/2021] [Revised: 09/03/2021] [Accepted: 09/13/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) can have recurrent exacerbations and acute respiratory failure (ARF) triggered by particulate matter with a diameter of ≤2.5 μm (PM2.5). To prevent ventilator shortages, this study investigated the short-term association between PM2.5 concentration and emergency department visits (EDVs) among patients with acute exacerbation of COPD (AECOPD) requiring mechanical ventilation (MV). METHODS We conducted a time-series study to predict the PM2.5 concentration and number of ventilators needed. Daily counts of EDVs among AECOPD patients requiring ventilation from 2015 to 2019 were obtained from a hospital. Generalized linear models extending Poisson regression were used to explore the association of AECOPD with PM2.5 after controlling for the time trend, seasonal variations, and meteorological variables. RESULTS Eight hundred seventy-five AECOPD patients receiving MV were recorded, of whom 734 received noninvasive ventilation and 141 received invasive ventilatory support. EDVs for AECOPD patients with ARF significantly increased by 3.5% (95% confidence interval [CI]: 2.51%-4.42%) per 10 μg m-3 increase in PM2.5 concentration. Among seasons, PM2.5 concentration had the strongest effect on AECOPD patients with ARF in spring (<24.5 °C), with a 1.64% (95% CI: -0.56% to 3.83%) increase in admissions per 10 μg m-3 increase in same-day PM2.5 concentration. The interquartile range increase of 20 μg m-3 between winter and spring was associated with an average EDV increase of 48.66%. CONCLUSION This is the first study to predict the number of ventilators required by calculating quantitative estimates of the short-term effects of PM2.5 on EDVs for AECOPD patients with ARF. Adverse effects of PM2.5 on AECOPD patients requiring MV are evident, especially in the spring. Establishing protective standards and reducing the PM2.5 concentration to below various thresholds are urgently needed.
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Affiliation(s)
- Man-Ju Ting
- Division of Chest Medicine, Far Eastern Memorial Hospital, Banciao, New Taipei City, Taiwan.
| | - Ya-Hui Tsai
- Division of Pediatric Surgery, Far Eastern Memorial Hospital, Banciao, New Taipei City, Taiwan
| | - Shih-Ping Chuang
- Division of Chest Medicine, Far Eastern Memorial Hospital, Banciao, New Taipei City, Taiwan
| | - Ping-Huai Wang
- Division of Chest Medicine, Far Eastern Memorial Hospital, Banciao, New Taipei City, Taiwan
| | - Shih-Lung Cheng
- Division of Chest Medicine, Far Eastern Memorial Hospital, Banciao, New Taipei City, Taiwan
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Zhou X, Josey K, Kamareddine L, Caine MC, Liu T, Mickley LJ, Cooper M, Dominici F. Excess of COVID-19 cases and deaths due to fine particulate matter exposure during the 2020 wildfires in the United States. SCIENCE ADVANCES 2021; 7:7/33/eabi8789. [PMID: 34389545 PMCID: PMC8363139 DOI: 10.1126/sciadv.abi8789] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 06/24/2021] [Indexed: 05/03/2023]
Abstract
The year 2020 brought unimaginable challenges in public health, with the confluence of the COVID-19 pandemic and wildfires across the western United States. Wildfires produce high levels of fine particulate matter (PM2.5). Recent studies reported that short-term exposure to PM2.5 is associated with increased risk of COVID-19 cases and deaths. We acquired and linked publicly available daily data on PM2.5, the number of COVID-19 cases and deaths, and other confounders for 92 western U.S. counties that were affected by the 2020 wildfires. We estimated the association between short-term exposure to PM2.5 during the wildfires and the epidemiological dynamics of COVID-19 cases and deaths. We adjusted for several time-varying confounding factors (e.g., weather, seasonality, long-term trends, mobility, and population size). We found strong evidence that wildfires amplified the effect of short-term exposure to PM2.5 on COVID-19 cases and deaths, although with substantial heterogeneity across counties.
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Affiliation(s)
- Xiaodan Zhou
- Environmental Systems Research Institute, Redlands, CA, USA
| | - Kevin Josey
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Leila Kamareddine
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Miah C Caine
- Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
| | - Tianjia Liu
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
| | - Loretta J Mickley
- Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA, USA
| | - Matthew Cooper
- Department of Global Health and Population, Harvard University, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Harvard Data Science Initiative, Cambridge, MA, USA
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Effect of Environmental Pollutants PM2.5, CO, NO 2, and O 3 on the Incidence and Mortality of SARS-CoV-2 Infection in Five Regions of the USA. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18157810. [PMID: 34360104 PMCID: PMC8345586 DOI: 10.3390/ijerph18157810] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/12/2021] [Accepted: 07/13/2021] [Indexed: 11/22/2022]
Abstract
In recent decades, environmental pollution has become a significant international public problem in developing and developed nations. Various regions of the USA are experiencing illnesses related to environmental pollution. This study aims to investigate the association of four environmental pollutants, including particulate matter (PM2.5), carbon monoxide (CO), Nitrogen dioxide (NO2), and Ozone (O3), with daily cases and deaths resulting from SARS-CoV-2 infection in five regions of the USA, Los Angeles, New Mexico, New York, Ohio, and Florida. The daily basis concentrations of PM2.5, CO, NO2, and O3 were documented from two metrological websites. Data were obtained from the date of the appearance of the first case of (SARS-CoV-2) in the five regions of the USA from 13 March to 31 December 2020. Regionally (Los Angeles, New Mexico, New York, Ohio, and Florida), the number of cases and deaths increased significantly along with increasing levels of PM2.5, CO, NO2 and O3 (p < 0.05), respectively. The Poisson regression results further depicted that, for each 1 unit increase in PM2.5, CO, NO2 and O3 levels, the number of SARS-CoV-2 infections significantly increased by 0.1%, 14.8%, 1.1%, and 0.1%, respectively; for each 1 unit increase in CO, NO2, and O3 levels, the number of deaths significantly increased by 4.2%, 3.4%, and 1.5%, respectively. These empirical estimates demonstrate an association between the environmental pollutants PM2.5, CO, NO2, and O3 and SARS-CoV-2 infections, showing that they contribute to the incidence of daily cases and daily deaths in the five different regions of the USA. These findings can inform health policy decisions about combatting the COVID-19 pandemic outbreak in these USA regions and internationally by supporting a reduction in environmental pollution.
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Meo SA, Alkhalifah JM, Alshammari NF, Alnufaie WS. Comparison of Generalized Anxiety and Sleep Disturbance among Frontline and Second-Line Healthcare Workers during the COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:5727. [PMID: 34073594 PMCID: PMC8199178 DOI: 10.3390/ijerph18115727] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/14/2021] [Accepted: 05/16/2021] [Indexed: 01/08/2023]
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection, also known as COVID-19, has developed into an alarming situation around the world. Healthcare workers are playing the role of frontline defense to safeguard the lives of everyone during the COVID-19 pandemic. The present study aimed to investigate the anxiety levels and sleep quality among frontline and second-line healthcare workers during the COVID-19 pandemic. In this cross-sectional study, a validated, self-administered, electronic questionnaire was distributed through email to healthcare workers. The selection of 1678 healthcare workers was based on a convenience sampling technique. The General Anxiety Disorder-7 (GAD-7) and Pittsburgh Sleep Quality Index (PSQI) instrument scales were used to assess healthcare workers' anxiety levels and sleep quality during the COVID-19 pandemic. Out of 1678 respondents, 1200 (71.5%) were frontline healthcare workers, while 478 (28.5%) were second-line healthcare workers. Among all the healthcare workers, 435 (25.92%) were experiencing moderate to severe anxiety. Among them, 713 (59.4%) frontline healthcare workers were experiencing anxiety in comparison with 277 (57.9%) second-line healthcare workers. Severe anxiety symptoms were seen in 137 (11.41%) frontline healthcare workers compared to 44 (9.20%) second-line healthcare workers. In total, 1376 (82.0%) healthcare workers were found to have poor sleep quality; 975 (58.10%) were frontline, and 407 (23.89%) were second-line healthcare workers. The highest poor sleep quality levels were found among 642 (84.6%) of the healthcare workers who work in frontline areas (emergency departments, intensive care units, and wards) compared to 734 (79.9%) of the healthcare workers who work in second-line areas. These findings provide a substantial contribution to the consolidation of evidence concerning the negative impact of the pandemic on the mental health of healthcare workers (HCWs). These results have established an association that the COVID-19 pandemic causes larger negative psychological symptoms in frontline healthcare workers, such as severe anxiety and poor sleep quality. Preventive measures to minimize anxiety levels and maintain sleep quality, addressing this issue nationally and globally, are essential to support the healthcare workers who are sacrificing their mental health for the future of our nations.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia; (J.M.A.); (N.F.A.); (W.S.A.)
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Cao Y, Shao L, Jones T, Oliveira MLS, Ge S, Feng X, Silva LFO, BéruBé K. Multiple relationships between aerosol and COVID-19: A framework for global studies. GONDWANA RESEARCH : INTERNATIONAL GEOSCIENCE JOURNAL 2021; 93:243-251. [PMID: 33584115 PMCID: PMC7871891 DOI: 10.1016/j.gr.2021.02.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 05/03/2023]
Abstract
COVID-19 (Corona Virus Disease 2019) is a severe respiratory syndrome currently causing a human global pandemic. The original virus, along with newer variants, is highly transmissible. Aerosols are a multiphase system consisting of the atmosphere with suspended solid and liquid particles, which can carry toxic and harmful substances; especially the liquid components. The degree to which aerosols can carry the virus and cause COVID-19 disease is of significant research importance. In this study, we have discussed aerosol transmission as the pathway of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), and the aerosol pollution reduction as a consequence of the COVID-19 lockdown. The aerosol transmission routes of the SARS-CoV-2 can be further subdivided into proximal human-exhaled aerosol transmission and potentially more distal ambient aerosol transmission. The human-exhaled aerosol transmission is a direct dispersion of the SARS-CoV-2. The ambient aerosol transmission is an indirect dispersion of the SARS-CoV-2 in which the aerosol acts as a carrier to spread the virus. This indirect dispersion can also stimulate the up-regulation of the expression of SARS-CoV-2 receptor ACE-2 (Angiotensin Converting Enzyme 2) and protease TMPRSS2 (Transmembrane Serine Protease 2), thereby increasing the incidence and mortality of COVID-19. From the aerosol quality data around the World, it can be seen that often atmospheric pollution has significantly decreased due to factors such as the reduction of traffic, industry, cooking and coal-burning emissions during the COVID-19 lockdown. The airborne transmission potential of SARS-CoV-2, the infectivity of the virus in ambient aerosols, and the reduction of aerosol pollution levels due to the lockdowns are crucial research subjects.
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Affiliation(s)
- Yaxin Cao
- State Key Laboratory of Coal Resources and Safe Mining and College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Longyi Shao
- State Key Laboratory of Coal Resources and Safe Mining and College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Tim Jones
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10, 3YE, Wales, UK
| | - Marcos L S Oliveira
- Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, 080002 Barranquilla, Atlántico, Colombia
- Departamento de Ingeniería Civil y Arquitectura, Universidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru
| | - Shuoyi Ge
- State Key Laboratory of Coal Resources and Safe Mining and College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Xiaolei Feng
- State Key Laboratory of Coal Resources and Safe Mining and College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
| | - Luis F O Silva
- Department of Civil and Environmental, Universidad de la Costa, Calle 58 #55-66, 080002 Barranquilla, Atlántico, Colombia
| | - Kelly BéruBé
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK
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Meo SA, Adnan Abukhalaf A, Sami W, Hoang TD. Effect of environmental pollution PM2.5, carbon monoxide, and ozone on the incidence and mortality due to SARS-CoV-2 infection in London, United Kingdom. JOURNAL OF KING SAUD UNIVERSITY. SCIENCE 2021; 33:101373. [PMID: 33867776 PMCID: PMC8043584 DOI: 10.1016/j.jksus.2021.101373] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 05/20/2023]
Abstract
OBJECTIVES COVID-19 pandemic raised several queries on the relationship between the environment pollution and occurrence of new cases and deaths. This study aims to explore the effect of environmental pollution, particulate matter (PM 2.5 μm), carbon monoxide (CO) and Ozone (O3) on daily cases and daily deaths due to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in a largest metropolitan city London, United Kingdom. METHODS For this study, we selected London, one of the highly populated capitals, and markedly affected due to COVID-19 pandemic. The data on the SARS-CoV-2 daily new cases and deaths were recorded from UK-gov Web "Coronavirus COVId-19 in the UK, 2020". The daily environmental pollutants PM 2.5 μm, CO and O3 were recorded from the metrological web "(London Air Pollution, Air Quality Index- AQI, 2020)". The daily cases, deaths, PM 2.5 μm, CO and O3 were documented from the date of the occurrence of the first case of SARS-CoV-2 in London, February 24 to November 2, 2020. RESULTS The SARS-CoV-2 cases and deaths were positively related with environmental pollutants, PM2.5, O3 and CO levels. Additionally, with 1 µm increase in PM2.5 the number of cases and deaths significantly increased by 1.1% and 2.3% respectively. A 1 unit increase in CO level significantly increased the number of cases and deaths by 21.3% and 21.8% respectively. A similar trend was observed in O3, with 1-unit increase, the number of cases and deaths were significantly increased respectively by 0.8% and 4.4%. CONCLUSIONS Environmental pollutants, PM2.5, CO and O3 have a positive association with an increased number of SARS-CoV-2 daily cases and daily deaths in London, UK. Environmental pollution management authorities must implement necessary policies and assist in planning to minimize the environmental pollution and COVID-19 pandemic.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | | | - Waqas Sami
- Department of Public Health, University of Health Sciences, Lahore, Pakistan
| | - Thanh D Hoang
- Walter Reed National Medical Center, Bethesda, MD, USA
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Al-Dawsari SR, Sultan KS. Modeling of daily confirmed Saudi COVID-19 cases using inverted exponential regression. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021; 18:2303-2330. [PMID: 33892547 DOI: 10.3934/mbe.2021117] [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: 06/12/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by the coronavirus strain has had massive global impact, and has interrupted economic and social activity. The daily confirmed COVID-19 cases in Saudi Arabia are shown to be affected by some explanatory variables that are recorded daily: recovered COVID-19 cases, critical cases, daily active cases, tests per million, curfew hours, maximal temperatures, maximal relative humidity, maximal wind speed, and maximal pressure. Restrictions applied by the Saudi Arabia government due to the COVID-19 outbreak, from the suspension of Umrah and flights, and the lockdown of some cities with a curfew are based on information about COVID-15. The aim of the paper is to propose some predictive regression models similar to generalized linear models (GLMs) for fitting COVID-19 data in Saudi Arabia to analyze, forecast, and extract meaningful information that helps decision makers. In this direction, we propose some regression models on the basis of inverted exponential distribution (IE-Reg), Bayesian (BReg) and empirical Bayesian regression (EBReg) models for use in conjunction with inverted exponential distribution (IE-BReg and IE-EBReg). In all approaches, we use the logarithm (log) link function, gamma prior and two loss functions in the Bayesian approach, namely, the zero-one and LINEX loss functions. To deal with the outliers in the proposed models, we apply Huber and Tukey's bisquare (biweight) functions. In addition, we use the iteratively reweighted least squares (IRLS) algorithm to estimate Bayesian regression coefficients. Further, we compare IE-Reg, IE-BReg, and IE-EBReg using some criteria, such as Akaike's information criterion (AIC), Bayesian information criterion (BIC), deviance (D), and mean squared error (MSE). Finally, we apply the collected data of the daily confirmed from March 23 - June 21, 2020 with the corresponding explanatory variables to the theoretical findings. IE-EBReg shows good model for the COVID-19 cases in Saudi Arabia compared with the other models.
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Affiliation(s)
- Sarah R Al-Dawsari
- Department of Statistics and Operations Research, College of Science, King Saud University, P.O.Box 2455, Riyadh 11451, Saudi Arabia
| | - Khalaf S Sultan
- Department of Statistics and Operations Research, College of Science, King Saud University, P.O.Box 2455, Riyadh 11451, Saudi Arabia
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Abstract
Air pollution, particularly fine and ultrafine particulate matter aerosols, underlies a wide range of communicable and non-communicable disease affecting many systems including the cardiopulmonary and immune systems, and arises primarily from transportation and industry. A number of air pollution driven diseases also are Covid19 comorbidities. Thus, a number of studies on air pollution exposure, particularly particulate matter, strongly indicate air pollution is an important underlying factor in Covid19 transmission, severity, and mortality. This suggests that air pollution from natural sources, particularly wildfires, could play a role in the Covid19 pandemic. We tested this hypothesis on three wildfire smoke events in Orange County, CA, each of which was followed by Covid19 case increases after an approximately one-week lag. This lag was consistent with combined incubation time and testing/reporting times. Moreover, the three events suggest a dose dependency. The wildfire comorbidity hypothesis implies that at-risk-populations should reduce smoke exposure from wildfires, as well as indoors from biomass burning for heating, cooking, and aesthetic purposes.
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Urrutia-Pereira M, Rizzo LV, Chong-Neto HJ, Solé D. Impact of exposure to smoke from biomass burning in the Amazon rain forest on human health. J Bras Pneumol 2021; 47:e20210219. [PMID: 34669837 PMCID: PMC9013529 DOI: 10.36416/1806-3756/e20210219] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 08/12/2021] [Indexed: 04/30/2023] Open
Abstract
This review study aimed to determine the relationship between exposure to smoke from biomass burning in the Amazon rain forest and its implications on human health in that region in Brazil. A nonsystematic review was carried out by searching PubMed, Google Scholar, SciELO, and EMBASE databases for articles published between 2005 and 2021, either in Portuguese or in English, using the search terms "biomass burning" OR "Amazon" OR "burned" AND "human health." The review showed that the negative health effects of exposure to smoke from biomass burning in the Amazon have been poorly studied in that region. There is an urgent need to identify effective public health interventions that can help improve the behavior of vulnerable populations exposed to smoke from biomass burning, reducing morbidity and mortality related to that exposure.
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Affiliation(s)
- Marilyn Urrutia-Pereira
- . Departamento de Medicina, Universidade Federal do Pampa, Uruguaiana (RS) Brasil
- . Departamento Científico de Toxicologia e Saúde Ambiental, Sociedade Brasileira de Pediatria, São Paulo (SP) Brasil
- . Departamento Científico de Polución, Sociedad Latinoamericana de Alergia, Asma e Inmunología, Asunción, Paraguay
| | - Luciana Varanda Rizzo
- . Departamento de Ciências Ambientais, Universidade Federal de São Paulo, Diadema (SP) Brasil
| | - Herberto José Chong-Neto
- . Departamento de Pediatria, Universidade Federal do Paraná, Curitiba (PR) Brasil
- . Diretoria de Educação à Distância, Associação Brasileira de Alergia e Imunologia, São Paulo (SP) Brasil
- . Departamento Científico de Alergia, Sociedade Brasileira de Pediatria, São Paulo (SP) Brasil
- . Departamento Científico de Conjunctivitis, Sociedad Latinoamericana de Alergia, Asma e Inmunología, Asunción, Paraguay
| | - Dirceu Solé
- . Departamento Científico de Polución, Sociedad Latinoamericana de Alergia, Asma e Inmunología, Asunción, Paraguay
- . Departamento de Pediatria, Escola Paulista de Medicina, São Paulo (SP) Brasil
- . Departamentos Científicos, Sociedade Brasileira de Pediatria, São Paulo (SP) Brasil
- . Diretoria de Pesquisas. Associação Brasileira de Alergia e Imunologia, São Paulo (SP) Brasil
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