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Freeman RJ, States LJ, Lewandowski SA, Singer DE, Patankar SN, Niebuhr DW. ACPM Position Statement: Air Pollution and Environmental Justice. Am J Prev Med 2024:S0749-3797(24)00232-0. [PMID: 39002887 DOI: 10.1016/j.amepre.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 07/02/2024] [Accepted: 07/07/2024] [Indexed: 07/15/2024]
Abstract
The American Lung Association's "State of the Air" 2023 report reveals almost 36% of Americans live with unhealthy levels of air pollution. Studies link air pollution with acute respiratory symptoms and exacerbation of respiratory and cardiovascular diseases. Differential air pollution exposures between white and nonwhite communities are significant components of environmental injustices. Even during the coronavirus disease 2019 (COVID-19) lockdown, when the United States experienced significant decreases in polluting activities, these differences persisted. The American College of Preventive Medicine's Science and Translation Committee conducted a nonsystematic literature review to explore initiatives addressing air pollution as a key component of environmental justice, the state of the science regarding health impacts, and evidence supporting mitigations to reduce those impacts. We recommend advocacy for cleaner energy sources and increasing green space; and increasing research, surveillance, and education and training on linkages between air pollutants and health. We recommend preventive medicine physicians raise awareness about increased risks of cardiovascular disease, cancer, asthma, and reduced lung function with air pollution exposure. Preventive medicine physicians may also educate patients and other practitioners about exposures, and how "conventional" disease prevention strategies may have unintended consequences; and influence healthcare leaders to improve efficiency and reduce emissions. We also recommend physicians utilize social determinants of health Z-Codes to capture environmental factors. Private payers should incorporate pollution exposure data into social determinants of health risk adjustments for Medicare Advantage programs. Medicaid agencies should develop provider recommendations for pediatric populations, and states should finance in-home interventions for asthma.
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Affiliation(s)
- Randall J Freeman
- Clinical Services, Reynolds Army Health Clinic, Fort Sill, Oklahoma.
| | - Leith J States
- Department of Health and Human Services, Office of the Assistant Secretary for Health, Washington, District of Columbia
| | - Stephen A Lewandowski
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
| | - Darrell E Singer
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Sayalee N Patankar
- Chemical and Physical Biology, College of Arts and Sciences, Harvard University, Cambridge, Massachusetts
| | - David W Niebuhr
- Department of Preventive Medicine and Biostatistics, Uniformed Services University of Health Sciences, Bethesda, Maryland
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2
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Zorn J, Simões M, Velders GJM, Gerlofs-Nijland M, Strak M, Jacobs J, Dijkema MBA, Hagenaars TJ, Smit LAM, Vermeulen R, Mughini-Gras L, Hogerwerf L, Klinkenberg D. Effects of long-term exposure to outdoor air pollution on COVID-19 incidence: A population-based cohort study accounting for SARS-CoV-2 exposure levels in the Netherlands. ENVIRONMENTAL RESEARCH 2024; 252:118812. [PMID: 38561121 DOI: 10.1016/j.envres.2024.118812] [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: 02/04/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Several studies have linked air pollution to COVID-19 morbidity and severity. However, these studies do not account for exposure levels to SARS-CoV-2, nor for different sources of air pollution. We analyzed individual-level data for 8.3 million adults in the Netherlands to assess associations between long-term exposure to ambient air pollution and SARS-CoV-2 infection (i.e., positive test) and COVID-19 hospitalisation risks, accounting for spatiotemporal variation in SARS-CoV-2 exposure levels during the first two major epidemic waves (February 2020-February 2021). We estimated average annual concentrations of PM10, PM2.5 and NO2 at residential addresses, overall and by PM source (road traffic, industry, livestock, other agricultural sources, foreign sources, other Dutch sources), at 1 × 1 km resolution, and weekly SARS-CoV-2 exposure at municipal level. Using generalized additive models, we performed interval-censored survival analyses to assess associations between individuals' average exposure to PM10, PM2.5 and NO2 in the three years before the pandemic (2017-2019) and COVID-19-outcomes, adjusting for SARS-CoV-2 exposure, individual and area-specific confounders. In single-pollutant models, per interquartile (IQR) increase in exposure, PM10 was associated with 7% increased infection risk and 16% increased hospitalisation risk, PM2.5 with 8% increased infection risk and 18% increased hospitalisation risk, and NO2 with 3% increased infection risk and 11% increased hospitalisation risk. Bi-pollutant models suggested that effects were mainly driven by PM. Associations for PM were confirmed when stratifying by urbanization degree, epidemic wave and testing policy. All emission sources of PM, except industry, showed adverse effects on both outcomes. Livestock showed the most detrimental effects per unit exposure, whereas road traffic affected severity (hospitalisation) more than infection risk. This study shows that long-term exposure to air pollution increases both SARS-CoV-2 infection and COVID-19 hospitalisation risks, even after controlling for SARS-CoV-2 exposure levels, and that PM may have differential effects on these COVID-19 outcomes depending on the emission source.
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Affiliation(s)
- Jelle Zorn
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Mariana Simões
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Guus J M Velders
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Marine and Atmospheric Research (IMAU), Utrecht University, Utrecht, the Netherlands
| | - Miriam Gerlofs-Nijland
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - José Jacobs
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Marieke B A Dijkema
- Environment and Health in Overijssel and Gelderland, Public Health Services Gelderland-Midden, the Netherlands
| | | | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Lapo Mughini-Gras
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
| | - Lenny Hogerwerf
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Don Klinkenberg
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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3
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Dales R, Lukina AO, Romero-Meza R, Blanco-Vidal C, Cakmak S. Ambient air pollution exposure and COVID-19 related hospitalizations in Santiago, Chile. Sci Rep 2024; 14:14186. [PMID: 38902344 PMCID: PMC11190141 DOI: 10.1038/s41598-024-64668-3] [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: 01/09/2024] [Accepted: 06/11/2024] [Indexed: 06/22/2024] Open
Abstract
Morbidity and mortality from several diseases are increased on days of higher ambient air pollution. We carried out a daily time-series analysis with distributive lags to study the influence of short-term air pollution exposure on COVID-19 related hospitalization in Santiago, Chile between March 16 and August 31, 2020. Analyses were adjusted for temporal trends, ambient temperature, and relative humidity, and stratified by age and sex. 26,579 COVID-19 hospitalizations were recorded of which 24,501 were laboratory confirmed. The cumulative percent change in hospitalizations (95% confidence intervals) for an interquartile range increase in air pollutants were: 1.1 (0.2, 2.0) for carbon monoxide (CO), 0.30 (0.0, 0.50) for nitrogen dioxide (NO2), and 2.7 (1.9, 3.0) for particulate matter of diameter ≤ 2.5 microns (PM2.5). Associations with ozone (O3), particulate matter of diameter ≤ 10 microns (PM10) and sulfur dioxide (SO2) were not significant. The observed effect of PM2.5 was significantly greater for females and for those individuals ≥ 65 years old. This study provides evidence that daily increases in air pollution, especially PM2.5, result in a higher observed risk of hospitalization from COVID-19. Females and the elderly may be disproportionately affected.
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Affiliation(s)
- Robert Dales
- Environmental Health Science and Research Bureau, Health Canada, 251 Sir Frederic Banting Driveway, Ottawa, ON, K1A 0K9, Canada
- University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Canada
| | - Anna O Lukina
- Environmental Health Science and Research Bureau, Health Canada, 251 Sir Frederic Banting Driveway, Ottawa, ON, K1A 0K9, Canada
| | - Rafael Romero-Meza
- School of Economics and Business, Universidad Alberto Hurtado, Santiago, Chile
| | | | - Sabit Cakmak
- Environmental Health Science and Research Bureau, Health Canada, 251 Sir Frederic Banting Driveway, Ottawa, ON, K1A 0K9, Canada.
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4
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Simões M, Zorn J, Hogerwerf L, Velders GJM, Portengen L, Gerlofs-Nijland M, Dijkema M, Strak M, Jacobs J, Wesseling J, de Vries WJ, Mijnen-Visser S, Smit LAM, Vermeulen R, Mughini-Gras L. Outdoor air pollution as a risk factor for testing positive for SARS-CoV-2: A nationwide test-negative case-control study in the Netherlands. Int J Hyg Environ Health 2024; 259:114382. [PMID: 38652943 DOI: 10.1016/j.ijheh.2024.114382] [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: 01/22/2024] [Revised: 04/02/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Air pollution is a known risk factor for several diseases, but the extent to which it influences COVID-19 compared to other respiratory diseases remains unclear. We performed a test-negative case-control study among people with COVID-19-compatible symptoms who were tested for SARS-CoV-2 infection, to assess whether their long- and short-term exposure to ambient air pollution (AAP) was associated with testing positive (vs. negative) for SARS-CoV-2. We used individual-level data for all adult residents in the Netherlands who were tested for SARS-CoV-2 between June and November 2020, when only symptomatic people were tested, and modeled ambient concentrations of PM10, PM2.5, NO2 and O3 at geocoded residential addresses. In long-term exposure analysis, we selected individuals who did not change residential address in 2017-2019 (1.7 million tests) and considered the average concentrations of PM10, PM2.5 and NO2 in that period, and different sources of PM (industry, livestock, other agricultural activities, road traffic, other Dutch sources, foreign sources). In short-term exposure analysis, individuals not changing residential address in the two weeks before testing day (2.7 million tests) were included in the analyses, thus considering 1- and 2-week average concentrations of PM10, PM2.5, NO2 and O3 before testing day as exposure. Mixed-effects logistic regression analysis with adjustment for several confounders, including municipality and testing week to account for spatiotemporal variation in viral circulation, was used. Overall, there was no statistically significant effect of long-term exposure to the studied pollutants on the odds of testing positive vs. negative for SARS-CoV-2. However, significant positive associations of long-term exposure to PM10 and PM2.5 from specifically foreign and livestock sources, and to PM10 from other agricultural sources, were observed. Short-term exposure to PM10 (adjusting for NO2) and PM2.5 were also positively associated with increased odds of testing positive for SARS-CoV-2. While these exposures seemed to increase COVID-19 risk relative to other respiratory diseases, the underlying biological mechanisms remain unclear. This study reinforces the need to continue to strive for better air quality to support public health.
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Affiliation(s)
- Mariana Simões
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jelle Zorn
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands
| | - Lenny Hogerwerf
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands
| | - Guus J M Velders
- Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Miriam Gerlofs-Nijland
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - Marieke Dijkema
- Municipal Health Services, Provinces of Overijssel and Gelderland, the Netherlands
| | - Maciek Strak
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - José Jacobs
- National Institute for Public Health and the Environment (RIVM), Center for Sustainability, Environment and Health (DMG), Bilthoven, the Netherlands
| | - Joost Wesseling
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Wilco J de Vries
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Suzanne Mijnen-Visser
- National Institute for Public Health and the Environment (RIVM), Center for Environmental Quality (MIL), Bilthoven, the Netherlands
| | - Lidwien A M Smit
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Lapo Mughini-Gras
- Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Bilthoven, the Netherlands.
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5
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Shahbaz MA, Kuivanen S, Mussalo L, Afonin AM, Kumari K, Behzadpour D, Kalapudas J, Koivisto AM, Penttilä E, Löppönen H, Jalava P, Vapalahti O, Balistreri G, Lampinen R, Kanninen KM. Exposure to urban particulate matter alters responses of olfactory mucosal cells to SARS-CoV-2 infection. ENVIRONMENTAL RESEARCH 2024; 249:118451. [PMID: 38341073 DOI: 10.1016/j.envres.2024.118451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/01/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
Respiratory viruses have a significant impact on health, as highlighted by the COVID-19 pandemic. Exposure to air pollution can contribute to viral susceptibility and be associated with severe outcomes, as suggested by recent epidemiological studies. Furthermore, exposure to particulate matter (PM), an important constituent of air pollution, is linked to adverse effects on the brain, including cognitive decline and Alzheimer's disease (AD). The olfactory mucosa (OM), a tissue located at the rooftop of the nasal cavity, is directly exposed to inhaled air and in direct contact with the brain. Increasing evidence of OM dysfunction related to neuropathogenesis and viral infection demonstrates the importance of elucidating the interplay between viruses and air pollutants at the OM. This study examined the effects of subacute exposure to urban PM 0.2 and PM 10-2.5 on SARS-CoV-2 infection using primary human OM cells obtained from cognitively healthy individuals and individuals diagnosed with AD. OM cells were exposed to PM and subsequently infected with the SARS-CoV-2 virus in the presence of pollutants. SARS-CoV-2 entry receptors and replication, toxicological endpoints, cytokine release, oxidative stress markers, and amyloid beta levels were measured. Exposure to PM did not enhance the expression of viral entry receptors or cellular viral load in human OM cells. However, PM-exposed and SARS-CoV-2-infected cells showed alterations in cellular and immune responses when compared to cells infected only with the virus or pollutants. These changes are highly pronounced in AD OM cells. These results suggest that exposure of human OM cells to PM does not increase susceptibility to SARS-CoV-2 infection in vitro, but it can alter cellular immune responses to the virus, particularly in AD. Understanding the interplay of air pollutants and COVID-19 can provide important insight for the development of public health policies and interventions to reduce the negative influences of air pollution exposure.
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Affiliation(s)
- Muhammad Ali Shahbaz
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Suvi Kuivanen
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Virology, Berlin, Germany
| | - Laura Mussalo
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Alexey M Afonin
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Kajal Kumari
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Donya Behzadpour
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Juho Kalapudas
- University of Eastern Finland, Brain Research Unit, Department of Neurology, School of Medicine, Kuopio, Finland
| | - Anne M Koivisto
- University of Eastern Finland, Brain Research Unit, Department of Neurology, School of Medicine, Kuopio, Finland; Kuopio University Hospital, Department of Neurology, Neuro Centre, Kuopio, Finland; University of Helsinki, Faculty of Medicine, Department of Neurology and Geriatrics, Helsinki University Hospital and Neurosciences, Helsinki, Finland
| | - Elina Penttilä
- University of Eastern Finland and Kuopio University Hospital, Department of Otorhinolaryngology, Kuopio, Finland
| | - Heikki Löppönen
- University of Eastern Finland and Kuopio University Hospital, Department of Otorhinolaryngology, Kuopio, Finland
| | - Pasi Jalava
- University of Eastern Finland, Inhalation Toxicology Laboratory, Department of Environmental and Biological Sciences, Kuopio, Finland
| | - Olli Vapalahti
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland
| | - Giuseppe Balistreri
- University of Helsinki, Department of Virology, Faculty of Medicine, Helsinki, Finland
| | - Riikka Lampinen
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland
| | - Katja M Kanninen
- University of Eastern Finland, A.I. Virtanen Institute for Molecular Sciences, Kuopio, Finland.
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6
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Song WM, Liu Y, Men D, Li SJ, Tao NN, Zhang QY, Liu SQ, An QQ, Zhu XH, Han QL, Zhang YZ, Li YY, Li CX, Liu Y, Yu CB, Li YF, Li HC. Associations of residential greenness exposure and ambient air pollutants with newly-diagnosed drug-resistant tuberculosis cases. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:27240-27258. [PMID: 38509309 DOI: 10.1007/s11356-024-32913-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
Growing evidence has found the health protective effects of greenness exposure on tuberculosis (TB) and the impact of ambient air pollutants on TB drug-resistance. However, it remains unclear whether residential greenness is also beneficial to reduce TB drug-resistance, and whether air pollution modify the greenness-TB resistance relationship. We enrolled 5006 newly-diagnosed TB patients from Shandong, China, during 2014 to 2021. Normalized Difference Vegetation Index (NDVI) in 250 m and 500 m buffer around individuals' residential zone was used to assess greenness exposure. All patients were divided by quartiles of NDVI250-m and NDVI500-m (from low to high: Q1, Q2, Q3, Q4) respectively. Six logistic regression models (NDVI, NDVI + PM2.5/PM10/SO2/NO2/O3) were used to estimate the association of NDVI and TB drug-resistance when adjusting different air pollutants or not. All models were adjusted for age, gender, body mass index, complications, smoking, drinking, population density, nighttime light index, road density. Compared with participants in NDVI250-m Q1 and NDVI500-m Q1, other groups had lower rates of MDR-TB, PDR-TB, RFP-resistance, SM-resistance, RFP + SM resistance, INH + RFP + EMB + SM resistance. NDVI500-m reduced the risk of multidrug resistant tuberculosis (MDR-TB) and the adjusted odds ratio (aOR, 95% confidence interval, CI) compared with NDVI500-m Q1 were 0.736 (0.547-0.991) in NDVI + PM10 model, 0.733 (0.544-0.986) in NDVI + PM2.5 model, 0.735(0.546-0.99) in NDVI + SO2 model, 0.736 (0.546-0.991) in NDVI + NO2 model, respectively, P < 0.05. NDVI500-m contributed to a decreased risk of streptomycin (SM)-resistance. The aOR of rifampicin (RFP) + SM resistance were 0.132 (NDVI250-m, Q4 vs Q1, 95% CI: 0.03-0.578), 0.199 (NDVI500-m, Q3 vs. Q1, 95% CI: 0.057-0.688) and 0.264 (NDVI500-m, Q4 vs. Q1, 95% CI: 0.087-0.799). The adjusted ORs (Q2 vs. Q1, 95% CI) of isoniazid (INH) + RFP + ethambutol (EMB) + SM resistance in 500 m buffer were 0.276 (0.119-0.639) in NDVI model, 0.279 (0.11-0.705) in NDVI + PM10 model, 0.281 (0.111-0.713) in NDVI + PM2.5 model, 0.279 (0.11-0.709) in NDVI + SO2 model, 0.296 (0.117-0.754) in NDVI + NO2 model, 0.294 (0.116-0.748) in NDVI + O3 model, respectively. The study showed, for the first time, that residential greenness exposure in 500 m buffer is beneficial for reducing newly-diagnosed DR-TB (including PDR-RB, MDR-TB, MR-TB), and ambient air pollutants may partially mediate this association.
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Affiliation(s)
- Wan-Mei Song
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 200021, China
| | - Yi Liu
- Department of Biostatistics, School of Public Health, Shandong University, Jinan, 250012, Shandong, China
| | - Dan Men
- School of Geography and Environmental Sciences, Northwest Normal University, Lanzhou, 730070, Gansu, China
| | - Shi-Jin Li
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Department of Respiratory Medicine, Chengwu People's Hospital, Heze, 274299, Shandong, China
| | - Ning-Ning Tao
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Qian-Yun Zhang
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 200021, China
| | - Si-Qi Liu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 200021, China
| | - Qi-Qi An
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 200021, China
| | - Xue-Han Zhu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Qi-Lin Han
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Yu-Zhen Zhang
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Ying-Ying Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China
| | - Chun-Xiao Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China
| | - Yao Liu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Chun-Bao Yu
- Katharine Hsu International Research Center of Human Infectious Diseases, Shandong Public Health Clinical Center, Jinan, 250102, Shandong, China
| | - Yi-Fan Li
- Department of Respiratory and Critical Care Medicine, Shandong First Medical University Third Affiliated Hospital, Jinan, 250355, Shandong, China
| | - Huai-Chen Li
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China.
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7
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Hoffmann L, Gilardi L, Schmitz MT, Erbertseder T, Bittner M, Wüst S, Schmid M, Rittweger J. Investigating the spatiotemporal associations between meteorological conditions and air pollution in the federal state Baden-Württemberg (Germany). Sci Rep 2024; 14:5997. [PMID: 38472290 PMCID: PMC10933279 DOI: 10.1038/s41598-024-56513-4] [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: 11/02/2023] [Accepted: 03/07/2024] [Indexed: 03/14/2024] Open
Abstract
When analyzing health data in relation to environmental stressors, it is crucial to identify which variables to include in the statistical model to exclude dependencies among the variables. Four meteorological parameters: temperature, ultraviolet radiation, precipitation, and vapor pressure and four outdoor air pollution parameters: ozone ( O 3 ), nitrogen dioxide ( NO 2 ), particulate matter ( P M 2.5 , P M 10 ) were studied on a daily basis for Baden-Württemberg (Germany). This federal state covers urban and rural compartments including mountainous and river areas. A temporal and spatial analysis of the internal relationships was performed among the variables using (a) cross-correlations, both on the grand ensemble of data as well as within subsets, and (b) the Local Indications of Spatial Association (LISA) method. Meteorological and air pollution variables were strongly correlated within and among themselves in time and space. We found a strong interaction between nitrogen dioxide and ozone, with correlation coefficients varying over time. The coefficients ranged from negative correlations in January (-0.84), April (-0.47), and October (-0.54) to a positive correlation in July (0.45). The cross-correlation plot showed a noticeable change in the correlation direction for O 3 and NO 2 . Spatially, NO 2 , P M 2.5 , and P M 10 concentrations were significantly higher in urban than rural regions. For O 3 , this effect was reversed. A LISA analysis confirmed distinct hot and cold spots of environmental stressors. This work examined and quantified the spatio-temporal relationship between air pollution and meteorological conditions and recommended which variables to prioritize for future health impact analyses. The results found are in line with the underlying physico-chemical atmospheric processes. It also identified postal code areas with dominant environmental stressors for further studies.
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Affiliation(s)
- Leona Hoffmann
- Institute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany.
| | - Lorenza Gilardi
- German Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany
| | - Marie-Therese Schmitz
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Thilo Erbertseder
- German Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany
| | - Michael Bittner
- German Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany
| | - Sabine Wüst
- German Remote Sensing Data Center, German Aerospace Center (DLR), Weßling, Germany
| | - Matthias Schmid
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Jörn Rittweger
- Institute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany
- Department of Pediatrics and Adolescent Medicine, University Hospital Cologne, Cologne, Germany
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8
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Rovira J, González N, Nadal M, Domingo JL, Schuhmacher M. Air concentrations of trace elements in a municipality under the influence of Tarragona petrochemical complex: Human health risks. ENVIRONMENTAL RESEARCH 2024; 243:117859. [PMID: 38070854 DOI: 10.1016/j.envres.2023.117859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 02/06/2024]
Abstract
One of the largest petrochemical complexes of southern Europe is located in Tarragona County (Catalonia, Spain). Despite environmental monitoring is routinely conducted in the area, the long-term occurrence of airborne trace elements has been poorly investigated. In the present study, the concentrations of arsenic (As), cadmium (Cd), chromium (Cr), nickel (Ni), lead (Pb) and vanadium (V) were analysed in air samples collected in El Morell, a town potentially impacted by the petrochemical. Air samples were simultaneously collected in the town of Cambrils, as a background site. Meteorological data and retro trajectories analysis were used to evaluate the impact of the petrochemical industry on the levels of trace elements in air. Subsequently, human health risks due to inhalation exposure to the trace elements were also assessed. Except for V, air concentrations were significantly higher near the oil refinery than the background levels. Human health risks were also estimated to be higher in the vicinity of the petrochemical complex. In turn, air inhalation of Pb and V was higher than their dietary intakes. The present data should be considered only as preliminary, since the sampling was taken during only three weeks, which is an insufficient period to extract reliable conclusions. Further long-term studies should be focused on assessing the influence of temporary variables, such as meteorological conditions and fugitive or sporadic emissions.
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Affiliation(s)
- Joaquim Rovira
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Catalonia, Spain; Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007, Tarragona, Catalonia, Spain.
| | - Neus González
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Catalonia, Spain
| | - Martí Nadal
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Catalonia, Spain
| | - José L Domingo
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, Sant Llorenç 21, 43201, Reus, Catalonia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Catalonia, Spain
| | - Marta Schuhmacher
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007, Tarragona, Catalonia, Spain
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9
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Martín-Quintero I, Cervera-Sabater A, Cortés-Bretón Brinkmann J, Aragoneses-Lamas JM, Flores-Fraile J, Santos-Marino J. Reduction by air purifier of particulate concentration during orthodontic procedures: a pilot study. BMC Oral Health 2024; 24:199. [PMID: 38326811 PMCID: PMC10848394 DOI: 10.1186/s12903-024-03956-w] [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: 01/07/2023] [Accepted: 01/30/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND The SARS-CoV-2 pandemic has raised awareness of the importance of air quality. This pilot study arose from the need to reduce the concentration of particulate matter in the dental office during orthodontic procedures. To evaluate the efficacy of using an air purifier during orthodontic care in the dental office to reduce the concentration of ambient particulate matter. RESULTS Significant reductions in particle numbers were obtained for all particle sizes except the largest particles counted (10 μm) through use of the air filter. A marked association between higher humidity levels and higher particle counts was also observed. CONCLUSIONS Using an air purifier during dental care achieves a significant reduction in the concentration of ambient particles in the dental office. There is a correlation between higher relative humidity and higher particle concentration. The probability of obtaining a maximum particulate concentration level of 0.3 and 0.5 μm is 1000 times lower when using an air purifier.
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Affiliation(s)
| | - Alberto Cervera-Sabater
- Department of Dental Clinical Specialties, Faculty of Dentistry, Complutense University of Madrid, Madrid, 28049, Spain
| | - Jorge Cortés-Bretón Brinkmann
- Department of Dental Clinical Specialties, Faculty of Dentistry, Complutense University of Madrid, Madrid, 28049, Spain.
| | | | - Javier Flores-Fraile
- Department of Surgery, Faculty of Medicine, University of Salamanca, Salamanca, 37007, Spain
| | - Juan Santos-Marino
- Department of Surgery, Faculty of Medicine, University of Salamanca, Salamanca, 37007, Spain
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10
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Blaser C, Gautier L, Brousseau É, Auger N, Frohlich KL. Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024; 115:53-66. [PMID: 38100050 PMCID: PMC10868572 DOI: 10.17269/s41997-023-00829-7] [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: 04/20/2023] [Accepted: 10/24/2023] [Indexed: 02/09/2024]
Abstract
OBJECTIVES We measured disparities in COVID-19 mortality associated with increasing vulnerability to severe outcomes of infectious disease at the neighbourhood level to identify domains for prioritization of public interventions. METHODS In this retrospective ecological study, we calculated COVID-19 mortality rate ratios (RR) comparing neighbourhoods with the greatest vulnerability relative to lowest vulnerability using the five domains from the COVID-19 vulnerability index for Quebec using hospital data from the first year of the pandemic and vulnerability levels from 13,182 neighbourhoods. We estimated the attributable fraction to assess disparities in COVID-19 mortality associated with vulnerability. Domains covered biological susceptibility, sociocultural characteristics, socioeconomic characteristics, and indoor and outdoor risk factors for exposure to SARS-CoV-2. RESULTS Vulnerable neighbourhoods accounted for 60.7% of COVID-19 deaths between March 2020 and February 2021. Neighbourhoods with biological susceptibility accounted for 46.1% and indoor exposure for 44.6% of deaths. Neighbourhoods with socioeconomic vulnerability experienced 23.5%, outdoor exposure 14.6%, and sociocultural vulnerability 9.0% of deaths. Neighbourhoods with high relative vulnerability had 4.66 times greater risk of COVID-19 mortality compared with those with low vulnerability (95%CI 3.82-5.67). High vulnerability in the biological (RR 3.33; 95%CI 2.71-4.09), sociocultural (RR 1.50; 95%CI 1.27-1.77), socioeconomic (RR 2.08; 95%CI 1.75-2.48), and indoor (RR 3.21; 95%CI 2.74-3.76) exposure domains were associated with elevated risks of mortality compared with the least vulnerable neighbourhoods. Outdoor exposure was unassociated with mortality (RR 1.17; 95%CI 0.96-2.43). CONCLUSION Public intervention to protect vulnerable populations should be adapted to focus on domains most associated with COVID-19 mortality to ensure addressing local needs.
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Affiliation(s)
- Christine Blaser
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada.
| | - Lara Gautier
- Department of Management, Evaluation and Health Policy, School of Public Health, University of Montreal, Montréal, QC, Canada
- Centre de recherche en santé publique (CReSP), Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montréal, QC, Canada
| | - Émilie Brousseau
- University of Montreal Hospital Research Centre, Montréal, QC, Canada
| | - Nathalie Auger
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada
- University of Montreal Hospital Research Centre, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, QC, Canada
| | - Katherine L Frohlich
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, QC, Canada
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11
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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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12
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Wong WM, Wang X, Wang Y. The intersection of COVID-19 and air pollution: A systematic literature network analysis and roadmap for future research. ENVIRONMENTAL RESEARCH 2023; 237:116839. [PMID: 37611787 DOI: 10.1016/j.envres.2023.116839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/25/2023]
Abstract
This paper employs systematic literature network analysis, including a literature review and bibliometric network analysis, to explore the COVID-19 and air pollution literature. A total of 1208 relevant documents from the Scopus database were analyzed using VOSviewer and SciMAT to examine author, keyword, and country interconnections. The paper addresses three research questions: (1) the latest studies on COVID-19 and air pollution, (2) influential authors, documents, and sources in the field, and (3) the study's findings as a roadmap for future research. Visual representations of author and country networks highlight influential entities based on citation rate. Keyword cluster analysis via VOSviewer summarizes connections based on link strength. The strategic diagram generated by SciMAT offers insights into future research directions in specific thematic keywords: (1) air pollution, (2) nitrogen dioxide, (3) epidemiology, and (4) atmospheric aerosol. This analysis enhances understanding of COVID-19 and air pollution and guides future research endeavors.
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Affiliation(s)
| | - Xing Wang
- Krirk University, Thailand; Shandong Agriculture and Engineering University, China
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13
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Fedrizzi L, Carugno M, Consonni D, Lombardi A, Bandera A, Bono P, Ceriotti F, Gori A, Pesatori AC. Air pollution exposure, SARS-CoV-2 infection, and immune response in a cohort of healthcare workers of a large university hospital in Milan, Italy. ENVIRONMENTAL RESEARCH 2023; 236:116755. [PMID: 37517490 DOI: 10.1016/j.envres.2023.116755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/24/2023] [Accepted: 07/25/2023] [Indexed: 08/01/2023]
Abstract
Several studies have examined the possible relationship between air pollutants and the risk of COVID-19 but most returned controversial findings. We tried to assess the association between (short- and long-term) exposure to particulate and gaseous pollutants, SARS-CoV-2 infections, and immune response in a population of healthcare workers (HCWs) with well-characterized individual data. We collected occupational and clinical characteristics of all HCWs who performed a nasopharyngeal swab (NPS) for detecting SARS-CoV-2 at the Policlinico Hospital in Milan (Lombardy, Italy) between February 24, 2020 (day after first documented case of COVID-19 in our hospital) and December 26, 2020 (day before start of the vaccination campaign). Each subject was assigned daily average levels of particulate matter ≤10 μm (PM10), nitrogen dioxide (NO2), and ozone (O3) retrieved from the air quality monitoring station closest to his/her residential address. Air pollution data were treated as time-dependent variables, generating person-days at risk. Multivariate Poisson regression models were fit to evaluate the rate of positive NPS and to assess the association between air pollution and antibody titer among NPS-positive HCWs. Among 3712 included HCWs, 635 (17.1%) had at least one positive NPS. A 10 μg/m3 increase in NO2 average concentration in the four days preceding NPS was associated with a higher risk of testing positive [Incidence Rate Ratio (IRR) = 1.08, 95% confidence interval (CI): 1.01; 1.16)]. When considering a 1 μg/m3 increase in 2019 annual NO2 average, we observed a higher risk of infection (IRR: 1.02, 95%CI: 1.00; 1.03) and an increased antibody titer (+2.4%, 95%CI: 1.1; 3.6%). Findings on PM10 and O3 were less consistent and, differently from NO2, were not confirmed in multipollutant models. Our study increases the body of evidence suggesting an active role of air pollution exposure on SARS-CoV-2 infection and confirms the importance of implementing pollution reduction policies to improve public health.
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Affiliation(s)
- Luca Fedrizzi
- Epidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michele Carugno
- Epidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
| | - Dario Consonni
- Epidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Andrea Lombardi
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Alessandra Bandera
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Patrizia Bono
- Clinical Laboratory, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ferruccio Ceriotti
- Clinical Laboratory, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Andrea Gori
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Angela Cecilia Pesatori
- Epidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
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14
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Zoran M, Savastru R, Savastru D, Tautan M, Tenciu D. Linkage between Airborne Particulate Matter and Viral Pandemic COVID-19 in Bucharest. Microorganisms 2023; 11:2531. [PMID: 37894189 PMCID: PMC10609195 DOI: 10.3390/microorganisms11102531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 10/29/2023] Open
Abstract
The long-distance spreading and transport of airborne particulate matter (PM) of biogenic or chemical compounds, which are thought to be possible carriers of SARS-CoV-2 virions, can have a negative impact on the incidence and severity of COVID-19 viral disease. Considering the total Aerosol Optical Depth at 550 nm (AOD) as an atmospheric aerosol loading variable, inhalable fine PM with a diameter ≤2.5 µm (PM2.5) or coarse PM with a diameter ≤10 µm (PM10) during 26 February 2020-31 March 2022, and COVID-19's five waves in Romania, the current study investigates the impact of outdoor PM on the COVID-19 pandemic in Bucharest city. Through descriptive statistics analysis applied to average daily time series in situ and satellite data of PM2.5, PM10, and climate parameters, this study found decreased trends of PM2.5 and PM10 concentrations of 24.58% and 18.9%, respectively compared to the pre-pandemic period (2015-2019). Exposure to high levels of PM2.5 and PM10 particles was positively correlated with COVID-19 incidence and mortality. The derived average PM2.5/PM10 ratios during the entire pandemic period are relatively low (<0.44), indicating a dominance of coarse traffic-related particles' fraction. Significant reductions of the averaged AOD levels over Bucharest were recorded during the first and third waves of COVID-19 pandemic and their associated lockdowns (~28.2% and ~16.4%, respectively) compared to pre-pandemic period (2015-2019) average AOD levels. The findings of this research are important for decision-makers implementing COVID-19 safety controls and health measures during viral infections.
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Affiliation(s)
- Maria Zoran
- C Department, National Institute of R&D for Optoelectronics, 409 Atomistilor Street, MG5, 077125 Magurele, Romania; (R.S.); (D.S.); (M.T.); (D.T.)
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15
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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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16
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Woodward SM, Mork D, Wu X, Hou Z, Braun D, Dominici F. Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0002178. [PMID: 37531330 PMCID: PMC10395946 DOI: 10.1371/journal.pgph.0002178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 06/21/2023] [Indexed: 08/04/2023]
Abstract
Imposing stricter regulations for PM2.5 has the potential to mitigate damaging health and climate change effects. Recent evidence establishing a link between exposure to air pollution and COVID-19 outcomes is one of many arguments for the need to reduce the National Ambient Air Quality Standards (NAAQS) for PM2.5. However, many studies reporting a relationship between COVID-19 outcomes and PM2.5 have been criticized because they are based on ecological regression analyses, where area-level counts of COVID-19 outcomes are regressed on area-level exposure to air pollution and other covariates. It is well known that regression models solely based on area-level data are subject to ecological bias, i.e., they may provide a biased estimate of the association at the individual-level, due to within-area variability of the data. In this paper, we augment county-level COVID-19 mortality data with a nationally representative sample of individual-level covariate information from the American Community Survey along with high-resolution estimates of PM2.5 concentrations obtained from a validated model and aggregated to the census tract for the contiguous United States. We apply a Bayesian hierarchical modeling approach to combine county-, census tract-, and individual-level data to ultimately draw inference about individual-level associations between long-term exposure to PM2.5 and mortality for COVID-19. By analyzing data prior to the Emergency Use Authorization for the COVID-19 vaccines we found that an increase of 1 μg/m3 in long-term PM2.5 exposure, averaged over the 17-year period 2000-2016, is associated with a 3.3% (95% credible interval, 2.8 to 3.8%) increase in an individual's odds of COVID-19 mortality. Code to reproduce our study is publicly available at https://github.com/NSAPH/PM_COVID_ecoinference. The results confirm previous evidence of an association between long-term exposure to PM2.5 and COVID-19 mortality and strengthen the case for tighter regulations on harmful air pollution and greenhouse gas emissions.
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Affiliation(s)
- Sophie M. Woodward
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Daniel Mork
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Xiao Wu
- Department of Biostatistics, Columbia University, New York, New York, United States of America
| | - Zhewen Hou
- Department of Statistics, Columbia University, New York, New York, United States of America
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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17
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Sangkham S, Islam MA, Sarndhong K, Vongruang P, Hasan MN, Tiwari A, Bhattacharya P. Effects of fine particulate matter (PM 2.5) and meteorological factors on the daily confirmed cases of COVID-19 in Bangkok during 2020-2021, Thailand. CASE STUDIES IN CHEMICAL AND ENVIRONMENTAL ENGINEERING 2023; 8:100410. [PMID: 38620170 PMCID: PMC10286573 DOI: 10.1016/j.cscee.2023.100410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 04/17/2024]
Abstract
The ongoing global pandemic caused by the SARS-CoV-2 virus, known as COVID-19, has disrupted public health, businesses, and economies worldwide due to its widespread transmission. While previous research has suggested a possible link between environmental factors and increased COVID-19 cases, the evidence regarding this connection remains inconclusive. The purpose of this research is to determine whether or not there is a connection between the presence of fine particulate matter (PM2.5) and meteorological conditions and COVID-19 infection rates in Bangkok, Thailand. The study employs a statistical method called Generalized Additive Model (GAM) to find a positive and non-linear association between RH, AH, and R and the number of verified COVID-19 cases. The impacts of the seasons (especially summer) and rainfall on the trajectory of COVID-19 cases were also highlighted, with an adjusted R-square of 0.852 and a deviance explained of 85.60%, both of which were statistically significant (p < 0.05). The study results assist in preventing the future seasonal spread of COVID-19, and public health authorities may use these findings to make informed decisions and assess their policies.
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Affiliation(s)
- Sarawut Sangkham
- Department of Environmental Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
| | - Md Aminul Islam
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh
| | - Kritsada Sarndhong
- Department of Community Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
| | - Patipat Vongruang
- Department of Environmental Health, School of Public Health, University of Phayao, Phayao, 56000, Thailand
- Atmospheric Pollution and Climate Change Research Unit, School of Energy and Environment, University of Phayao, Phayao, 56000, Thailand
| | - Mohammad Nayeem Hasan
- Department of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh
| | - Ananda Tiwari
- Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, 70701, Kuopio, Finland
| | - Prosun Bhattacharya
- COVID-19 Research, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, SE, 10044, Stockholm, Sweden
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18
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Li W, Sun B, Li H, An Z, Li J, Jiang J, Song J, Wu W. Association between short-term exposure to PM 2.5 and nasal microbiota dysbiosis, inflammation and oxidative stress: A panel study of healthy young adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115156. [PMID: 37343487 DOI: 10.1016/j.ecoenv.2023.115156] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 06/23/2023]
Abstract
Fine particulate matter (PM2.5) is the primary environmental stressor and a significant threat to public health. However, the effect of PM2.5 exposure on human nasal microbiota and its pathophysiological implication remain less understood. This study aimed to explore the associations of PM2.5 exposure with indices of nasal microbiota and biomarkers of nasal inflammation and oxidative stress. We conducted a panel study with 75 students in Xinxiang, Henan Province, China, from September to December 2017. Biomarkers of nasal inflammation and oxidative stress including interleukin-6 (IL-6), IL-8, tumor necrosis factor-α (TNF-α), 8-epi-prostaglandin F2 alpha (8-epi-PGF2α) and indices of nasal microbiota diversity and phenotypes were measured. Linear mixed-effect models and bioinformatic analyses were performed to assess the association of PM2.5 concentrations with the abovementioned biomarkers and indices. It was found that per 1 μg/m3 increase in PM2.5 was associated with increments of 13.15% (95 % CI: 5.53-20.76 %) and 78.98 % (95 % CI: 21.61-136.36 %) in TNF-α on lag2 and lag02. Indices of microbial diversity and phenotypes including equitability, Shannon index, biofilm forming, and oxidative stress tolerant decreased to different extent with the increment in PM2.5. Notably, thirteen differential microbes in Clostridia, Bacilli, and Gammaproteobacteria classes were recognized as keystone taxa and eight of them were associated with TNF-α, IL-6, or 8-epi-PGF2α. Moreover, environmental adaptation was the most critical functional pathway of nasal microbiota associated with PM2.5 exposure. In summary, short-term exposure to PM2.5 is associated with nasal inflammation, microbiota diversity reduction, and the microbiota phenotype alterations.
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Affiliation(s)
- Wenlong Li
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China; Institute of Infectious Disease Prevention and Control, Zhengzhou Center for Disease Control and Prevention, Zhengzhou, Henan Province 450000, China
| | - Beibei Sun
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Huijun Li
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Zhen An
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Juan Li
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jing Jiang
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jie Song
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weidong Wu
- Henan International Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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19
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Rigolon A, Németh J, Anderson-Gregson B, Miller AR, deSouza P, Montague B, Hussain C, Erlandson KM, Rowan SE. The neighborhood built environment and COVID-19 hospitalizations. PLoS One 2023; 18:e0286119. [PMID: 37314984 DOI: 10.1371/journal.pone.0286119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 05/09/2023] [Indexed: 06/16/2023] Open
Abstract
Research on the associations between the built environment and COVID-19 outcomes has mostly focused on incidence and mortality. Also, few studies on the built environment and COVID-19 have controlled for individual-level characteristics across large samples. In this study, we examine whether neighborhood built environment characteristics are associated with hospitalization in a cohort of 18,042 individuals who tested positive for SARS-CoV-2 between May and December 2020 in the Denver metropolitan area, USA. We use Poisson models with robust standard errors that control for spatial dependence and several individual-level demographic characteristics and comorbidity conditions. In multivariate models, we find that among individuals with SARS-CoV-2 infection, those living in multi-family housing units and/or in places with higher particulate matter (PM2.5) have a higher incident rate ratio (IRR) of hospitalization. We also find that higher walkability, higher bikeability, and lower public transit access are linked to a lower IRR of hospitalization. In multivariate models, we did not find associations between green space measures and the IRR of hospitalization. Results for non-Hispanic white and Latinx individuals highlight substantial differences: higher PM2.5 levels have stronger positive associations with the IRR of hospitalization for Latinx individuals, and density and overcrowding show stronger associations for non-Hispanic white individuals. Our results show that the neighborhood built environment might pose an independent risk for COVID-19 hospitalization. Our results may inform public health and urban planning initiatives to lower the risk of hospitalization linked to COVID-19 and other respiratory pathogens.
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Affiliation(s)
- Alessandro Rigolon
- Department of City and Metropolitan Planning, The University of Utah, Salt Lake City, Utah, United States of America
| | - Jeremy Németh
- Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America
| | - Brenn Anderson-Gregson
- Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America
| | - Ana Rae Miller
- Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America
| | - Priyanka deSouza
- Department of Urban and Regional Planning, University of Colorado Denver, Denver, Colorado, United States of America
| | - Brian Montague
- Department of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America
| | - Cory Hussain
- Department of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America
- Division of Infectious Diseases, Denver Health and Hospital Authority, Denver, Colorado, United States of America
| | - Kristine M Erlandson
- Department of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America
| | - Sarah E Rowan
- Department of Medicine, Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Denver, Colorado, United States of America
- Division of Infectious Diseases, Denver Health and Hospital Authority, Denver, Colorado, United States of America
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20
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Zhang L, Liu J, Feng Y, Wu P, He P. PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27630-w. [PMID: 37213020 DOI: 10.1007/s11356-023-27630-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/10/2023] [Indexed: 05/23/2023]
Abstract
As the core of pollution prevention and management, accurate PM2.5 concentration prediction is crucial for human survival. However, due to the nonstationarity and nonlinearity of PM2.5 concentration data, the accurate prediction for PM2.5 concentration remains a challenge. In this study, a PM2.5 concentration prediction method using weighted complementary ensemble empirical mode decomposition with adaptive noise (WCEEMDAN) and improved long and short-term memory (ILSTM) neural network is proposed. Firstly, a novel WCEEMDAN method is proposed to correctly identify the non-stationary and non-linear characteristics and divide the PM2.5 sequences into various layers. Through the correlation analysis with PM2.5 data, these sub-layers are given different weights. Secondly, the adaptive mutation particle swarm optimization (AMPSO) algorithm is developed to obtain the main hyperparameters of the long short-term memory network (LSTM) neural network, improving the prediction accuracy of PM2.5 concentration. The optimization convergence speed and accuracy are improved by adjusting the inertia weight and introducing the mutation mechanism to enhance the global optimization ability. Finally, three groups of PM2.5 concentration data are utilized to verify the effectiveness of the proposed model. Compared with other methods, the experimental results demonstrate the superiority of the proposed model. The source code can be downloaded from https://github.com/zhangli190227/WCEENDAM-ILSTM .
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Affiliation(s)
- Li Zhang
- School of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang, China
| | - Jinlan Liu
- School of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang, China
| | - Yuhan Feng
- School of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang, China.
| | - Peng Wu
- School of Information Engineering, Xinyang Agriculture and Forestry University, Xinyang, China
| | - Pengkun He
- Xinyang Meteorological Bureau, Xinyang, China
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21
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Anneser E, Stopka TJ, Naumova EN, Spangler KR, Lane KJ, Acevedo A, Griffiths JK, Lin Y, Levine P, Corlin L. Environmental equity and COVID-19 experiences in the United States: Results from three survey waves of a nationally representative study conducted between 2020-2022. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.16.23290050. [PMID: 37293071 PMCID: PMC10246057 DOI: 10.1101/2023.05.16.23290050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Certain environmental exposures, such as air pollution, are associated with COVID-19 incidence and mortality. To determine whether environmental context is associated with other COVID-19 experiences, we used data from the nationally representative Tufts Equity in Health, Wealth, and Civic Engagement Study data (n=1785; three survey waves 2020-2022). Environmental context was assessed using self-reported climate stress and county-level air pollution, greenness, toxic release inventory site, and heatwave data. Self-reported COVID-19 experiences included willingness to vaccinate against COVID-19, health impacts from COVID-19, receiving assistance for COVID-19, and provisioning assistance for COVID-19. Self-reported climate stress in 2020 or 2021 was associated with increased COVID-19 vaccination willingness by 2022 (odds ratio [OR] = 2.35; 95% confidence interval [CI] = 1.47, 3.76), even after adjusting for political affiliation (OR = 1.79; 95% CI = 1.09, 2.93). Self-reported climate stress in 2020 was also associated with increased likelihood of receiving COVID-19 assistance by 2021 (OR = 1.89; 95% CI = 1.29, 2.78). County-level exposures (i.e., less greenness, more toxic release inventory sites, more heatwaves) were associated with increased vaccination willingness. Air pollution exposure in 2020 was positively associated with likelihood of provisioning COVID-19 assistance in 2020 (OR = 1.16 per μg/m3; 95% CI = 1.02, 1.32). Associations between certain environmental exposures and certain COVID-19 outcomes were stronger among those who identify as a race/ethnicity other than non-Hispanic White and among those who reported experiencing discrimination; however, these trends were not consistent. A latent variable representing a summary construct for environmental context was associated with COVID-19 vaccination willingness. Our results add to the growing body of literature suggesting that intersectional equity issues affecting likelihood of exposure to adverse environmental conditions are also associated with health-related outcomes.
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Affiliation(s)
- Elyssa Anneser
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Thomas J. Stopka
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- Tufts Clinical and Translational Sciences Institute, Boston, MA, USA
| | - Elena N. Naumova
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Keith R. Spangler
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Kevin J. Lane
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Andrea Acevedo
- Department of Community Health, Tufts University School of Arts and Sciences, Medford, MA, USA
| | - Jeffrey K. Griffiths
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
- Department of Infectious Disease and Global Health, Tufts University Cummings School of Veterinary Medicine, Grafton, MA, USA
- Division of Geographic Medicine and Infectious Diseases, Department of Medicine, Tufts Medical Center, Boston, MA
| | - Yan Lin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Peter Levine
- Jonathan Tisch College of Civic Life, Tufts University, Medford, MA, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
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22
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Martenies SE, Wilson A, Hoskovec L, Bol KA, Burket TL, Podewils LJ, Magzamen S. The COVID-19-wildfire smoke paradox: Reduced risk of all-cause mortality due to wildfire smoke in Colorado during the first year of the COVID-19 pandemic. ENVIRONMENTAL RESEARCH 2023; 225:115591. [PMID: 36878268 PMCID: PMC9985917 DOI: 10.1016/j.envres.2023.115591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/09/2023] [Accepted: 02/27/2023] [Indexed: 06/11/2023]
Abstract
BACKGROUND In 2020, the American West faced two competing challenges: the COVID-19 pandemic and the worst wildfire season on record. Several studies have investigated the impact of wildfire smoke (WFS) on COVID-19 morbidity and mortality, but little is known about how these two public health challenges impact mortality risk for other causes. OBJECTIVES Using a time-series design, we evaluated how daily risk of mortality due to WFS exposure differed for periods before and during the COVID-19 pandemic. METHODS Our study included daily data for 11 counties in the Front Range region of Colorado (2010-2020). We assessed WFS exposure using data from the National Oceanic and Atmospheric Administration and used mortality counts from the Colorado Department of Public Health and Environment. We estimated the interaction between WFS and the pandemic (an indicator variable) on mortality risk using generalized additive models adjusted for year, day of week, fine particulate matter, ozone, temperature, and a smoothed term for day of year. RESULTS WFS impacted the study area on 10% of county-days. We observed a positive association between the presence of WFS and all-cause mortality risk (incidence rate ratio (IRR) = 1.03, 95%CI: 1.01-1.04 for same-day exposures) during the period before the pandemic; however, WFS exposure during the pandemic resulted in decreased risk of all-cause mortality (IRR = 0.90, 95%CI: 0.87-0.93 for same-day exposures). DISCUSSION We hypothesize that mitigation efforts during the first year of the pandemic, e.g., mask mandates, along with high ambient WFS levels encouraged health behaviors that reduced exposure to WFS and reduced risk of all-cause mortality. Our results suggest a need to examine how associations between WFS and mortality are impacted by pandemic-related factors and that there may be lessons from the pandemic that could be translated into health-protective policies during future wildfire events.
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Affiliation(s)
- Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Lauren Hoskovec
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Kirk A Bol
- Center for Health and Environmental Data, Colorado Department of Public Health and Environment, Denver, CO, USA
| | - Tori L Burket
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Denver Department of Public Health and Environment, Denver, CO, USA
| | - Laura Jean Podewils
- Center for Health Systems Research, Denver Health Office of Research, Denver, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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23
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Zoran MA, Savastru RS, Savastru DM, Tautan MN. Peculiar weather patterns effects on air pollution and COVID-19 spread in Tokyo metropolis. ENVIRONMENTAL RESEARCH 2023; 228:115907. [PMID: 37080275 PMCID: PMC10111861 DOI: 10.1016/j.envres.2023.115907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023]
Abstract
As a pandemic hotspot in Japan, between March 1, 2020-October 1, 2022, Tokyo metropolis experienced seven COVID-19 waves. Motivated by the high rate of COVID-19 incidence and mortality during the seventh wave, and environmental/health challenges we conducted a time-series analysis to investigate the long-term interaction of air quality and climate variability with viral pandemic in Tokyo. Through daily time series geospatial and observational air pollution/climate data, and COVID-19 incidence and death cases, this study compared the environmental conditions during COVID-19 multiwaves. In spite of five State of Emergency (SOEs) restrictions associated with COVID-19 pandemic, during (2020-2022) period air quality recorded low improvements relative to (2015-2019) average annual values, namely: Aerosol Optical Depth increased by 9.13% in 2020 year, and declined by 6.64% in 2021, and 12.03% in 2022; particulate matter PM2.5 and PM10 decreased during 2020, 2021, and 2022 years by 10.22%, 62.26%, 0.39%, and respectively by 4.42%, 3.95%, 5.76%. For (2021-2022) period the average ratio of PM2.5/PM10 was (0.319 ± 0.1640), showing a higher contribution to aerosol loading of traffic-related coarse particles in comparison with fine particles. The highest rates of the daily recorded COVID-19 incidence and death cases in Tokyo during the seventh COVID-19 wave (1 July 2022-1 October 2022) may be attributed to accumulation near the ground of high levels of air pollutants and viral pathogens due to: 1) peculiar persistent atmospheric anticyclonic circulation with strong positive anomalies of geopotential height at 500 hPa; 2) lower levels of Planetary Boundary Layer (PBL) heights; 3) high daily maximum air temperature and land surface temperature due to the prolonged heat waves (HWs) in summer 2022; 4) no imposed restrictions. Such findings can guide public decision-makers to design proper strategies to curb pandemics under persistent stable anticyclonic weather conditions and summer HWs in large metropolitan areas.
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Affiliation(s)
- Maria A Zoran
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania.
| | - Roxana S Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
| | - Dan M Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
| | - Marina N Tautan
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele-Bucharest, 077125, Romania
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24
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Bhaskar A, Chandra J, Hashemi H, Butler K, Bennett L, Cellini J, Braun D, Dominici F. A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization. Annu Rev Public Health 2023; 44:1-20. [PMID: 36542771 DOI: 10.1146/annurev-publhealth-071521-120424] [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: 12/24/2022]
Abstract
Several peer-reviewed papers and reviews have examined the relationship between exposure to air pollution and COVID-19 spread and severity. However, many of the existing reviews on this topic do not extensively present the statistical challenges associated with this field, do not provide comprehensive guidelines for future researchers, and review only the results of a relatively small number of papers. We reviewed 139 papers, 127 of which reported a statistically significant positive association between air pollution and adverse COVID-19 health outcomes. Here, we summarize the evidence, describe the statistical challenges, and make recommendations for future research. To summarize the 139 papers with data from geographical locations around the world, we also present anopen-source data visualization tool that summarizes these studies and allows the research community to contribute evidence as new research papers are published.
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Affiliation(s)
- A Bhaskar
- Department of Government, Harvard University, Cambridge, Massachusetts, USA
| | - J Chandra
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - H Hashemi
- Environmental Systems Research Institute, Redlands, California, USA
| | - K Butler
- Environmental Systems Research Institute, Redlands, California, USA
| | - L Bennett
- Environmental Systems Research Institute, Redlands, California, USA
| | - Jacqueline Cellini
- Countway Library of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA;
- Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA;
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25
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Jana A, Kundu S, Shaw S, Chakraborty S, Chattopadhyay A. Spatial shifting of COVID-19 clusters and disease association with environmental parameters in India: A time series analysis. ENVIRONMENTAL RESEARCH 2023; 222:115288. [PMID: 36682443 PMCID: PMC9850905 DOI: 10.1016/j.envres.2023.115288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 12/23/2022] [Accepted: 01/10/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND The viability and virulence of COVID-19 are complex in nature. Although the relationship between environmental parameters and COVID-19 is well studied across the globe, in India, such studies are limited. This research aims to explore long-term exposure to weather conditions and the role of air pollution on the infection spread and mortality due to COVID-19 in India. METHOD District-level COVID-19 data from April 26, 2020 to July 10, 2021 was used for the study. Environmental determinants such as land surface temperature, relative humidity (RH), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Ozone (O3), and Aerosol Optical Depth (AOD) were considered for analysis. The bivariate spatial association was used to explore the spatial relationship between Case Fatality Rate (CFR) and these environmental factors. Further, the Bayesian multivariate linear regression model was applied to observe the association between environmental factors and the CFR of COVID-19. RESULTS Spatial shifting of COVID-19 cases from Western to Southern and then Eastern parts of India were well observed. The infection rate was highly concentrated in most of the Western and Southern regions of India, while the CFR shows more concentration in Northern India along with Maharashtra. Four main spatial clusters of infection were recognized during the study period. The time-series analysis indicates significantly more CFR with higher AOD, O3, and NO2 in India. CONCLUSIONS COVID-19 is highly associated with environmental parameters and air pollution in India. The study provides evidence to warrant consideration of environmental parameters in health models to mediate potential solutions. Cleaner air is a must to mitigate COVID-19.
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Affiliation(s)
- Arup Jana
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sampurna Kundu
- Center of Social Medicine and Community Health, Jawaharlal Nehru University, Delhi, 110067, India.
| | - Subhojit Shaw
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
| | - Sukanya Chakraborty
- IMPRS Neuroscience, Max Planck Institute of Multidisciplinary Sciences, University of Goettingen, Germany.
| | - Aparajita Chattopadhyay
- Department of Population and Development, International Institute for Population Sciences, Deonar, Mumbai, 400088, India.
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26
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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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Marquès M, Iftimie S, Camps J, Joven J, Domingo JL. The concentrations of essential/toxic elements in serum of COVID-19 patients are not directly related to the severity of the disease. J Trace Elem Med Biol 2023; 78:127160. [PMID: 36996642 PMCID: PMC10044018 DOI: 10.1016/j.jtemb.2023.127160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 02/03/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND In recent months, the current COVID-19 pandemic has generated thousands of studies directly or indirectly related with this disease and/or the coronavirus SARS-CoV-2 causing the infection. On August 22, 2022, the database PUBMED included 287,639 publications containing the term COVID-19. However, in spite of the importance of trace elements in human health, including the immune system, data on the levels of metals/metalloids in COVID-19 patients is very limited. METHODS The concentrations of As, Cd, Cr, Cu, Hg, Fe, Mg, Mn, Pb, Se, V and Zn were determined by inductively coupled plasma-mass spectrometry (ICP-MS) in 126 serum samples of individuals infected with SARS-CoV-2, as well as in 88 samples of non-infected individuals. Participants were divided into four groups: i) individuals COVID-19 positive (COVID-19 +) with an asymptomatic infection course; ii) individuals suffering mild COVID-19; iii) individuals suffering severe COVID-19, and iv) individuals COVID-19 negative (COVID-19-) (control group). The occurrence of the analyzed metals/metalloids was evaluated along with the biochemical profile, including blood cell counts, lipids, proteins and crucial enzymes. RESULTS Serum levels of Mg, V, Cr, Cu, Cd, and Pb were higher in COVID-19 positive patients than those in the control group. Although no significant differences were observed between the different groups of patients, the concentrations of Cd, Pb, V and Zn showed a tendency to be higher in individuals with severe COVID-19 than in those showing mild symptoms or being asymptomatic. Arsenic and Hg were rarely detected, regardless if the subjects were infected by SARS-CoV-2, or not. The current results did not show significant differences in the levels of the rest of analyzed elements according to the severity of the disease (asymptomatic, mild and severe). CONCLUSIONS In spite of the results here obtained, we highlight the need to reduce the exposure to Cd, Pb and V to minimize the potential adverse health outcomes after COVID-19 infection. On the other hand, although a protective role of essential elements was not found, Mg and Cu concentrations were higher in severe COVID-19 patients than in non-infected individuals.
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Affiliation(s)
- Montse Marquès
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, 43201 Reus, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Universitat Rovira i Virgili, Spain
| | - Simona Iftimie
- Universitat Rovira i Virgili, Department of Internal Medicine, Hospital Universitari de Sant Joan, IISPV, 43204 Reus, Spain
| | - Jordi Camps
- Universitat Rovira i Virgili, Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, 43201 Reus, Spain
| | - Jorge Joven
- Universitat Rovira i Virgili, Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, 43201 Reus, Spain
| | - José L Domingo
- Universitat Rovira i Virgili, Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, 43201 Reus, Spain; Center of Environmental, Food and Toxicological Technology - TecnATox, Universitat Rovira i Virgili, Spain.
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Botto L, Lonati E, Russo S, Cazzaniga E, Bulbarelli A, Palestini P. Effects of PM2.5 Exposure on the ACE/ACE2 Pathway: Possible Implication in COVID-19 Pandemic. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4393. [PMID: 36901403 PMCID: PMC10002082 DOI: 10.3390/ijerph20054393] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Particulate matter (PM) is a harmful component of urban air pollution and PM2.5, in particular, can settle in the deep airways. The RAS system plays a crucial role in the pathogenesis of pollution-induced inflammatory diseases: the ACE/AngII/AT1 axis activates a pro-inflammatory pathway counteracted by the ACE2/Ang(1-7)/MAS axis, which in turn triggers an anti-inflammatory and protective pathway. However, ACE2 acts also as a receptor through which SARS-CoV-2 penetrates host cells to replicate. COX-2, HO-1, and iNOS are other crucial proteins involved in ultrafine particles (UFP)-induced inflammation and oxidative stress, but closely related to the course of the COVID-19 disease. BALB/c male mice were subjected to PM2.5 sub-acute exposure to study its effects on ACE2 and ACE, COX-2, HO-1 and iNOS proteins levels, in the main organs concerned with the pathogenesis of COVID-19. The results obtained show that sub-acute exposure to PM2.5 induces organ-specific modifications which might predispose to greater susceptibility to severe symptomatology in the case of SARS-CoV-2 infection. The novelty of this work consists in using a molecular study, carried out in the lung but also in the main organs involved in the disease, to analyze the close relationship between exposure to pollution and the pathogenesis of COVID-19.
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Affiliation(s)
- Laura Botto
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Elena Lonati
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Stefania Russo
- FIMP-Federazione Italiana Medici Pediatri, 00185 Rome, Italy
| | - Emanuela Cazzaniga
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- POLARIS Centre, University of Milano-Bicocca, 20126 Milan, Italy
| | - Alessandra Bulbarelli
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- POLARIS Centre, University of Milano-Bicocca, 20126 Milan, Italy
| | - Paola Palestini
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
- POLARIS Centre, University of Milano-Bicocca, 20126 Milan, Italy
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Romero García C, Briz-Redón Á, Iftimi A, Lozano M, De Andrés J, Landoni G, Zanin M. Understanding small-scale COVID-19 transmission dynamics with the Granger causality test. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2023:1-9. [PMID: 36640118 DOI: 10.1080/19338244.2023.2167799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Mobility patterns have been broadly studied and deeply altered due to the coronavirus disease (COVID-19). In this paper, we study small-scale COVID-19 transmission dynamics in the city of Valencia and the potential role of subway stations and healthcare facilities in this transmission. A total of 2,398 adult patients were included in the analysis. We study the temporal evolution of the pandemic during the first six months at a small-area level. Two Voronoi segmentations of the city (based on the location of subway stations and healthcare facilities) have been considered, and we have applied the Granger causality test at the Voronoi cell level, considering both divisions of the study area. Considering the output of this approach, the so-called 'donor stations' are subway stations that have sent more connections than they have received and are mainly located in interchanger stations. The transmission in primary healthcare facilities showed a heterogeneous pattern. Given that subway interchange stations receive many cases from other regions of the city, implementing isolation measures in these areas might be beneficial for the reduction of transmission.
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Affiliation(s)
- Carolina Romero García
- Department of Anesthesia, Critical Care and Pain Unit, University General Hospital, Valencia, Spain
- Division of Research Methodology, European University, Valencia, Spain
| | - Álvaro Briz-Redón
- Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Adina Iftimi
- Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Manuel Lozano
- Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy, University of Valencia, Valencia, Spain
| | - José De Andrés
- Head of Department of Anesthesia, Critical Care and Pain Unit, Valencia University General Hospital, Valencia, Spain
- Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Giovanni Landoni
- Center for Intensive Care and Anesthesiology (CARE), San Raffaele Hospital Head of SIAARTI Clinical Research Committee, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimiliano Zanin
- Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain
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30
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Liu Z, Liang Q, Liao H, Yang W, Lu C. Effects of short-term and long-term exposure to ambient air pollution and temperature on long recovery duration in COVID-19 patients. ENVIRONMENTAL RESEARCH 2023; 216:114781. [PMID: 36375498 PMCID: PMC9650677 DOI: 10.1016/j.envres.2022.114781] [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: 10/03/2022] [Revised: 10/24/2022] [Accepted: 11/08/2022] [Indexed: 05/06/2023]
Abstract
BACKGROUND The novel coronavirus disease 2019 (COVID-19) has spread rapidly around the world since December 8, 2019. However, the key factors affecting the duration of recovery from COVID-19 remain unclear. OBJECTIVE To investigate the associations of long recovery duration of COVID-19 patients with ambient air pollution, temperature, and diurnal temperature range (DTR) exposure. METHODS A total of 427 confirmed cases in Changsha during the first wave of the epidemic in January 2020 were selected. We used inverse distance weighting (IDW) method to estimate personal exposure to seven ambient air pollutants (PM2.5, PM2.5-10, PM10, SO2, NO2, CO, and O3) at each subject's home address. Meteorological conditions included temperature and DTR. Multiple logistic regression model was used to investigate the relationship of air pollution exposure during short-term (past week and past month) and long-term (past three months) with recovery duration among COVID-19 patients. RESULTS We found that long recovery duration among COVID-19 patients was positively associated with short-term exposure to CO during past week with OR (95% CI) = 1.42 (1.01-2.00) and PM2.5, NO2, and CO during past month with ORs (95% CI) = 2.00 (1.30-3.07) and 1.95 (1.30-2.93), and was negatively related with short-term exposure to O3 during past week and past month with ORs (95% CI) = 0.68 (0.46-0.99) and 0.41 (0.27-0.62), respectively. No association was observed for long-term exposure to air pollution during past three months. Furthermore, increased temperature during past three months elevated risk of long recovery duration in VOCID-19 patients, while DTR exposure during past week and past month decreased the risk. Male and younger patients were more susceptible to the effect of air pollution on long recovery duration, while female and older patients were more affected by exposure to temperature and DTR. CONCLUSION Our findings suggest that both TRAP exposure and temperature indicators play important roles in prolonged recovery among COVID-19 patients, especially for the sensitive populations, which provide potential strategies for effective reduction and early prevention of long recovery duration of COVID-19.
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Affiliation(s)
- Zijing Liu
- XiangYa School of Public Health, Central South University, Changsha, 410078, Hunan, China
| | - Qi Liang
- Department of Radiology, The Third XiangYa Hospital, Central South University, Changsha, 410083, China
| | - Hongsen Liao
- XiangYa School of Public Health, Central South University, Changsha, 410078, Hunan, China
| | - Wenhui Yang
- XiangYa School of Public Health, Central South University, Changsha, 410078, Hunan, China
| | - Chan Lu
- XiangYa School of Public Health, Central South University, Changsha, 410078, Hunan, China.
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Costa MAM, da Silva BM, de Almeida SGC, Felizardo MP, Costa AFM, Cardoso AA, Dussán KJ. Evaluation of the efficiency of a Venturi scrubber in particulate matter collection smaller than 2.5 µm emitted by biomass burning. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:8835-8852. [PMID: 36053424 PMCID: PMC9438357 DOI: 10.1007/s11356-022-22786-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
Energy demand has increased worldwide, and biomass burning is one of the solutions most used by industries, especially in countries that have a great potential in agriculture, such as Brazil. However, these energy sources generate pollutants, consisting of particulate matter (PM) with a complex chemical composition, such as sugarcane bagasse (SB) burning. Controlling these emissions is necessary; therefore, the aim was to evaluate PM collection using a rectangular Venturi scrubber (RVS), and its effects on the composition of the PM emitted. Considering the appropriate use of biomass as an industrial fuel and the emerging need for a technique capable of efficiently removing pollutants from biomass burning, this study shows the control of emissions as an innovation in a situation such as the industrial one with the use of a Venturi scrubber in fine particle collection, in addition to using portable and representative isokinetic sampling equipment of these particles. The pilot-scale simulation of the biomass burning process, the representative sampling of fine particles and obtaining parameters to control pollutant emissions for a Venturi scrubber, meets the current situation of concern about air quality. The average collection efficiency values were 96.6% for PM> 2.5, 85.5% for PM1.0-2.5, and 66.9% for PM< 1.0. The ionic analysis for PM< 1.0 filters showed potassium, chloride, nitrate, and nitrite at concentrations ranging from 20.12 to 36.5 μg/m3. As the ethanol and sugar plants will continue to generate electricity with sugarcane bagasse burning, emission control technologies and cost-effective and efficient portable samplers are needed to monitor particulate materials and improve current gas cleaning equipment projects.
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Affiliation(s)
- Maria Angélica Martins Costa
- Department of Engineering, Physics and Mathematics, Institute of Chemistry, São Paulo State University-UNESP, Av. Prof. Francisco Degni, 55 - Jardim Quitandinha, Araraquara, São Paulo, 14800-900, Brazil
| | - Bruno Menezes da Silva
- Department of Engineering, Physics and Mathematics, Institute of Chemistry, São Paulo State University-UNESP, Av. Prof. Francisco Degni, 55 - Jardim Quitandinha, Araraquara, São Paulo, 14800-900, Brazil
| | - Sâmilla Gabriella Coelho de Almeida
- Department of Engineering, Physics and Mathematics, Institute of Chemistry, São Paulo State University-UNESP, Av. Prof. Francisco Degni, 55 - Jardim Quitandinha, Araraquara, São Paulo, 14800-900, Brazil
| | - Marcos Paulo Felizardo
- Departament of Mechanics, Minas Gerais Federal Institute of Education, Science and Technology, IFMG, Congonhas, Brazil
| | - Ana Flávia Martins Costa
- Faculty of Engineering Technology, Department of Biomechanical Engineering, Engineering Organ Support Technologies Group, University of Twente, P.O. Box 217, Enschede, Overijssel, 7500 AE, The Netherlands
| | - Arnaldo Alves Cardoso
- Department of Analytical Chemistry, Physical-Chemical and Inorganic Chemistry, Institute of Chemistry, São Paulo State University-UNESP, Av. Prof. Francisco Degni, 55 - Jardim Quitandinha, Araraquara, São Paulo, 14800-900, Brazil
| | - Kelly Johana Dussán
- Department of Engineering, Physics and Mathematics, Institute of Chemistry, São Paulo State University-UNESP, Av. Prof. Francisco Degni, 55 - Jardim Quitandinha, Araraquara, São Paulo, 14800-900, Brazil.
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Beloconi A, Vounatsou P. Long-term air pollution exposure and COVID-19 case-severity: An analysis of individual-level data from Switzerland. ENVIRONMENTAL RESEARCH 2023; 216:114481. [PMID: 36206929 PMCID: PMC9531360 DOI: 10.1016/j.envres.2022.114481] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 05/05/2023]
Abstract
Several studies are pointing out that exposure to elevated air pollutants could contribute to increased COVID-19 mortality. However, literature on the associations between air pollution exposure and COVID-19 severe morbidity is rather sparse. In addition, the majority of the studies used an ecological study design and were applied in regions with rather high air pollution levels. Here, we study the differential effects of long-term exposure to air pollution on severe morbidity and mortality risks from COVID-19 in various population subgroups in Switzerland, a country known for clean air. We perform individual-level analyses using data covering the first two major waves of COVID-19 between February 2020 and May 2021. High-resolution maps of particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations were produced for the 6 years preceding the pandemic using Bayesian geostatistical models. Air pollution exposure for each patient was measured by the long-term average concentration across the municipality of residence. The models were adjusted for the effects of individual characteristics, socio-economic, health-system, and climatic factors. The variables with an important association to COVID-19 case-severity were identified using Bayesian spatial variable selection. The results have shown that the individual-level characteristics are important factors related to COVID-19 morbidity and mortality in all the models. Long-term exposure to air pollution appears to influence the severity of the disease only when analyzing data during the first wave; this effect is attenuated upon adjustment for health-system related factors during the entire study period. Our findings suggest that the burden of air pollution increased the risks of COVID-19 in Switzerland during the first wave of the pandemic, but not during the second wave, when the national health system was better prepared.
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Affiliation(s)
- Anton Beloconi
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Penelope Vounatsou
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
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Hayet-Otero M, García-García F, Lee DJ, Martínez-Minaya J, España Yandiola PP, Urrutia Landa I, Nieves Ermecheo M, Quintana JM, Menéndez R, Torres A, Zalacain Jorge R, Arostegui I. Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. PLoS One 2023; 18:e0284150. [PMID: 37053151 PMCID: PMC10101453 DOI: 10.1371/journal.pone.0284150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 03/26/2023] [Indexed: 04/14/2023] Open
Abstract
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse clinical evolutions. Here we focused on a fully data-driven exploration regarding which factors (clinical or otherwise) were most informative for SARS-CoV-2 pneumonia severity prediction via machine learning (ML). In particular, feature selection techniques (FS), designed to reduce the dimensionality of data, allowed us to characterize which of our variables were the most useful for ML prognosis. We conducted a multi-centre clinical study, enrolling n = 1548 patients hospitalized due to SARS-CoV-2 pneumonia: where 792, 238, and 598 patients experienced low, medium and high-severity evolutions, respectively. Up to 106 patient-specific clinical variables were collected at admission, although 14 of them had to be discarded for containing ⩾60% missing values. Alongside 7 socioeconomic attributes and 32 exposures to air pollution (chronic and acute), these became d = 148 features after variable encoding. We addressed this ordinal classification problem both as a ML classification and regression task. Two imputation techniques for missing data were explored, along with a total of 166 unique FS algorithm configurations: 46 filters, 100 wrappers and 20 embeddeds. Of these, 21 setups achieved satisfactory bootstrap stability (⩾0.70) with reasonable computation times: 16 filters, 2 wrappers, and 3 embeddeds. The subsets of features selected by each technique showed modest Jaccard similarities across them. However, they consistently pointed out the importance of certain explanatory variables. Namely: patient's C-reactive protein (CRP), pneumonia severity index (PSI), respiratory rate (RR) and oxygen levels -saturation Sp O2, quotients Sp O2/RR and arterial Sat O2/Fi O2-, the neutrophil-to-lymphocyte ratio (NLR) -to certain extent, also neutrophil and lymphocyte counts separately-, lactate dehydrogenase (LDH), and procalcitonin (PCT) levels in blood. A remarkable agreement has been found a posteriori between our strategy and independent clinical research works investigating risk factors for COVID-19 severity. Hence, these findings stress the suitability of this type of fully data-driven approaches for knowledge extraction, as a complementary to clinical perspectives.
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Affiliation(s)
- Miren Hayet-Otero
- Basque Center for Applied Mathematics (BCAM), Bilbao, Basque Country, Spain
- Department of Electronic Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain
- Basque Research and Technology Alliance (BRTA), TECNALIA, Derio, Basque Country, Spain
| | | | - Dae-Jin Lee
- Basque Center for Applied Mathematics (BCAM), Bilbao, Basque Country, Spain
- School of Science and Technology, IE University, Madrid, Madrid, Spain
| | - Joaquín Martínez-Minaya
- Department of Applied Statistics and Operational Research, and Quality, Universitat Politècnica de València (UPV), Valencia, Valencian Community, Spain
| | | | | | - Mónica Nieves Ermecheo
- BioCruces Bizkaia Health Research Institute, Barakaldo, Basque Country, Spain
- Research Unit, Galdakao-Usansolo University Hospital, Galdakao, Basque Country, Spain
| | - José María Quintana
- Research Unit, Galdakao-Usansolo University Hospital, Galdakao, Basque Country, Spain
| | - Rosario Menéndez
- Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Valencian Community, Spain
| | - Antoni Torres
- Pneumology Department, Hospital Clínic of Barcelona, Barcelona, Catalonia, Spain
| | | | - Inmaculada Arostegui
- Basque Center for Applied Mathematics (BCAM), Bilbao, Basque Country, Spain
- Department of Mathematics, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain
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Song Q, Qian G, Mi Y, Zhu J, Cao C. Synergistic influence of air temperature and vaccination on COVID-19 transmission and mortality in 146 countries or regions. ENVIRONMENTAL RESEARCH 2022; 215:114229. [PMID: 36049515 PMCID: PMC9423881 DOI: 10.1016/j.envres.2022.114229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE We aimed to determine the influence of vaccination and air temperature on COVID-19 transmission and severity. METHODS The study data in 146 countries from January 6, 2020 to July 28, 2022 were aggregated into 19,856 weeks. Country-level weekly incidence, time-varying reproduction number (Rt), mortality, and infection-fatality ratio (IFR) were compared among groups of these weeks with different vaccination rates and air temperatures. RESULTS Weeks with <15 °C air temperature and 60% vaccination showed the highest incidence (mean, 604; SD, 855; 95% CI, 553-656, unit, /100,000 persons; N = 1073) and the highest rate of weeks with >1 Rt (mean, 41.6%; SD, 1.49%; 95% CI, 39.2-45.2%; N = 1090), while weeks with >25 °C and <20% showed the lowest incidence (mean, 24; SD, 75; 95% CI, 22-26; N = 5805) and the lowest rate of weeks with >1 Rt (mean, 15.3%; SD, 0.461%; 95% CI, 14.2-16.2%; N = 6122). Mortality in weeks with <15 °C (mean, 2.1; SD, 2.8; 95% CI, 2.0-2.2, unit, /100,000 persons; N = 4365) was five times of the mortality in weeks with >25 °C (mean, 0.44; SD, 1; 95% CI, 0.41-0.46; N = 7741). IFR ranged between 2% and 2.6% (SD, 1.9%-2.4%; 95% CI, 2.0-2.7%) at < 20% vaccination level, 1.8% (SD, 2%-2.2%; 95% CI, 1.7-2.0%) at 20-60% vaccination level, and 0.7%-1% (SD, 1%-1.8%; 95% CI, 0.7-1.1%) at > 60% vaccination level and at all air temperatures (all P < 0.001). CONCLUSIONS Vaccination was insufficient to mitigate the transmission since the significantly elevated weekly incidence and >1 Rt rate in weeks with high vaccination, while IFR was reduced by high vaccination. Countries with long-term low air temperature were affected by high transmission and high mortality.
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Affiliation(s)
- Qifa Song
- Medical Data Center, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
| | - Guoqing Qian
- Department of General Internal Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China
| | - Yuwei Mi
- Medical Data Center, Ningbo City First Hospital, Ningbo, Zhejiang Province, China
| | - Jianhua Zhu
- Department of Critical Care Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
| | - Chao Cao
- Department of Respiratory and Critical Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
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Hernandez Carballo I, Bakola M, Stuckler D. The impact of air pollution on COVID-19 incidence, severity, and mortality: A systematic review of studies in Europe and North America. ENVIRONMENTAL RESEARCH 2022; 215:114155. [PMID: 36030916 PMCID: PMC9420033 DOI: 10.1016/j.envres.2022.114155] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 05/29/2023]
Abstract
BACKGROUND Air pollution is speculated to increase the risks of COVID-19 spread, severity, and mortality. OBJECTIVES We systematically reviewed studies investigating the relationship between air pollution and COVID-19 cases, non-fatal severity, and mortality in North America and Europe. METHODS We searched PubMed, Web of Science, and Scopus for studies investigating the effects of harmful pollutants, including particulate matter with diameter ≤2.5 or 10 μm (PM2.5 or PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2) and carbon monoxide (CO), on COVID-19 cases, severity, and deaths in Europe and North America through to June 19, 2021. Articles were included if they quantitatively measured the relationship between exposure to air pollution and COVID-19 health outcomes. RESULTS From 2,482 articles screened, we included 116 studies reporting 355 separate pollutant-COVID-19 estimates. Approximately half of all evaluations on incidence were positive and significant associations (52.7%); for mortality the corresponding figure was similar (48.1%), while for non-fatal severity this figure was lower (41.2%). Longer-term exposure to pollutants appeared more likely to be positively associated with COVID-19 incidence (63.8%). PM2.5, PM10, O3, NO2, and CO were most strongly positively associated with COVID-19 incidence, while PM2.5 and NO2 with COVID-19 deaths. All studies were observational and most exhibited high risk of confounding and outcome measurement bias. DISCUSSION Air pollution may be associated with worse COVID-19 outcomes. Future research is needed to better test the air pollution-COVID-19 hypothesis, particularly using more robust study designs and COVID-19 measures that are less prone to measurement error and by considering co-pollutant interactions.
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Affiliation(s)
- Ireri Hernandez Carballo
- Department of Social and Political Sciences, Bocconi University, Milan, Lombardy, Italy; RFF-CMCC European Institute of Economics and the Environment, Centro Euro-Mediterraneo Sui Cambiamenti Climatici, Milan, Lombardy, Italy.
| | - Maria Bakola
- Research Unit for General Medicine and Primary Health Care, Faculty of Medicine, School of Health Science, University of Ioannina, Ioannina, Greece
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, Milan, Lombardy, Italy; DONDENA Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Lombardy, Italy
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Álvaro-Meca A, Sepúlveda-Crespo D, Resino R, Ryan P, Martínez I, Resino S. Neighborhood environmental factors linked to hospitalizations of older people for viral lower respiratory tract infections in Spain: a case-crossover study. Environ Health 2022; 21:107. [PMID: 36348411 PMCID: PMC9640778 DOI: 10.1186/s12940-022-00928-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Lower respiratory tract viral infection (LRTI) is a significant cause of morbidity-mortality in older people worldwide. We analyzed the association between short-term exposure to environmental factors (climatic factors and outdoor air pollution) and hospital admissions with a viral LRTI diagnosis in older adults. METHODS We conducted a bidirectional case-crossover study in 6367 patients over 65 years of age with viral LRTI and residential zip code in the Spanish Minimum Basic Data Set. Spain's State Meteorological Agency was the source of environmental data. Associations were assessed using conditional logistic regression. P-values were corrected for false discovery rate (q-values). RESULTS Almost all were hospital emergency admissions (98.13%), 18.64% were admitted to the intensive care unit (ICU), and 7.44% died. The most frequent clinical discharge diagnosis was influenza (90.25%). LRTI hospital admissions were more frequent when there were lower values of temperature and O3 and higher values of relative humidity and NO2. The regression analysis adjusted by temperatures and relative humidity showed higher concentrations at the hospital admission for NO2 [compared to the lag time of 1-week (q-value< 0.001) and 2-weeks (q-value< 0.001)] and O3 [compared to the lag time of 3-days (q-value< 0.001), 1-week (q-value< 0.001), and 2-weeks (q-value< 0.001)] were related to a higher odds of hospital admissions due to viral LRTI. Moreover, higher concentrations of PM10 at the lag time of 1-week (q-value = 0.023) and 2-weeks (q-value = 0.002), and CO at the lag time of 3-days (q-value = 0.023), 1-week (q-value< 0.001) and 2-weeks (q-value< 0.001)], compared to the day of hospitalization, were related to a higher chances of hospital admissions with viral LRTI. CONCLUSION Unfavorable environmental factors (low temperatures, high relative humidity, and high concentrations of NO2, O3, PM10, and CO) increased the odds of hospital admissions with viral LRTI among older people, indicating they are potentially vulnerable to these environmental factors.
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Affiliation(s)
- Alejandro Álvaro-Meca
- Departamento de Medicina Preventiva y Salud Pública, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Daniel Sepúlveda-Crespo
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Rosa Resino
- Departamento de Geografía, Facultad de Geografía e Historia, Universidad Complutense de Madrid, Madrid, Spain
| | - Pablo Ryan
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Hospital Universitario Infanta Leonor, Madrid, Spain
- Universidad Complutense de Madrid (UCM), Madrid, Spain
- Instituto de Investigaciones Sanitarias Gregorio Marañón (IiSGM), Madrid, Spain
| | - Isidoro Martínez
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain
| | - Salvador Resino
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
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Crowley R, Mathew S, Hilden D. Environmental Health: A Position Paper From the American College of Physicians. Ann Intern Med 2022; 175:1591-1593. [PMID: 36279541 DOI: 10.7326/m22-1864] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Environmental health refers to the health effects associated with environmental factors, such as air pollution, water contamination, and climate change. Environmental hazards are associated with poor outcomes in common diseases, including diabetes and heart disease. In this position paper, the American College of Physicians (ACP) seeks to inform physicians about environmental health and offers policymakers recommendations to reduce the adverse health consequences of climate change, improve air and water quality, reduce exposure to toxic substances, and address environmental injustice. ACP affirms that all communities, including people of color, people with low income, and marginalized populations, deserve to live in a healthy environment.
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Affiliation(s)
- Ryan Crowley
- American College of Physicians, Washington, DC (R.C.)
| | - Suja Mathew
- Atlantic Health System, Morristown, New Jersey (S.M.)
| | - David Hilden
- Hennepin Healthcare, Minneapolis, Minnesota (D.H.)
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Koch S, Hoffmann C, Caseiro A, Ledebur M, Menk M, von Schneidemesser E. Air quality in Germany as a contributing factor to morbidity from COVID-19. ENVIRONMENTAL RESEARCH 2022; 214:113896. [PMID: 35841971 PMCID: PMC9277987 DOI: 10.1016/j.envres.2022.113896] [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: 04/26/2022] [Revised: 06/27/2022] [Accepted: 07/10/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND The SARS-CoV-2 virus has been spreading in Germany since January 2020, with regional differences in incidence, morbidity, and mortality. Long-term exposure to air pollutants as nitrogen dioxide (NO2), nitrogen monoxide (NO), ozone (O3), and particulate matter (<10 μm PM10, <2.5 μm PM2.5) has a negative impact on respiratory functions. We analyze the association between long-term air pollution and the outcome of SARS-CoV-2 infections in Germany. METHODS We conducted an observational study in Germany on county-level, investigating the association between long-term (2010-2019) air pollutant exposure (European Environment Agency, AirBase data set) and COVID-19 incidence, morbidity, and mortality rate during the first outbreak of SARS-CoV-2 (open source data Robert Koch Institute). We used negative binominal models, including adjustment for risk factors (age, sex, days since first COVID-19 case, population density, socio-economic and health parameters). RESULTS After adjustment for risk factors in the tri-pollutant model (NO2, O3, PM2.5) an increase of 1 μg/m³ NO2 was associated with an increase of the need for intensive care due to COVID-19 by 4.2% (95% CI 1.011-1.074), and mechanical ventilation by 4.6% (95% CI 1.010-1.084). A tendency towards an association of NO2 with COVID-19 incidence was indicated, as the results were just outside of the defined statistical significance (+1.6% (95% CI 1.000-1.032)). Long-term annual mean NO2 level ranged from 4.6 μg/m³ to 32 μg/m³. CONCLUSIONS Our results indicate that long-term NO2 exposure may have increased susceptibility for COVID-19 morbidity in Germany. The results demonstrate the need to reduce ambient air pollution to improve public health.
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Affiliation(s)
- Susanne Koch
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anaesthesiology and Operative Intensive Care Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Augustenburger Platz 1, 13353, Berlin, Germany.
| | - Christina Hoffmann
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Diagnostic Laboratory Medicine, Clinical Chemistry, And Pathobiochemistry, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Alexandre Caseiro
- Institute for Advanced Sustainability Studies e.V. (IASS), Berliner Strasse 130, 14467, Potsdam, Germany
| | - Marie Ledebur
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anaesthesiology and Operative Intensive Care Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Mario Menk
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anaesthesiology and Operative Intensive Care Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Erika von Schneidemesser
- Institute for Advanced Sustainability Studies e.V. (IASS), Berliner Strasse 130, 14467, Potsdam, Germany
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Di Ciaula A, Moshammer H, Lauriola P, Portincasa P. Environmental health, COVID-19, and the syndemic: internal medicine facing the challenge. Intern Emerg Med 2022; 17:2187-2198. [PMID: 36181580 PMCID: PMC9525944 DOI: 10.1007/s11739-022-03107-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/16/2022] [Indexed: 11/29/2022]
Abstract
Internists are experts in complexity, and the COVID-19 pandemic is disclosing complex and unexpected interactions between communicable and non-communicable diseases, environmental factors, and socio-economic disparities. The medicine of complexity cannot be limited to facing comorbidities and to the clinical management of multifaceted diseases. Evidence indicates how climate change, pollution, demographic unbalance, and inequalities can affect the spreading and outcomes of COVID-19 in vulnerable communities. These elements cannot be neglected, and a wide view of public health aspects by a "one-health" approach is strongly and urgently recommended. According to World Health Organization, 35% of infectious diseases involving the lower respiratory tract depend on environmental factors, and infections from SARS-Cov-2 is not an exception. Furthermore, environmental pollution generates a large burden of non-communicable diseases and disabilities, increasing the individual vulnerability to COVID-19 and the chance for the resilience of large communities worldwide. In this field, the awareness of internists must increase, as privileged healthcare providers. They need to gain a comprehensive knowledge of elements characterizing COVID-19 as part of a syndemic. This is the case when pandemic events hit vulnerable populations suffering from the increasing burden of chronic diseases, disabilities, and social and economic inequalities. Mastering the interplay of such events requires a change in overall strategy, to adequately manage not only the SARS-CoV-2 infection but also the growing burden of non-communicable diseases by a "one health" approach. In this context, experts in internal medicine have the knowledge and skills to drive this change.
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Affiliation(s)
- Agostino Di Ciaula
- Clinica Medica “A. Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
| | - Hanns Moshammer
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
- Department of Environmental Health, Center for Public Health, Medical University Vienna, 1090 Vienna, Austria
- Department of Hygiene, Medical University of Karakalpakstan, Nukus, Uzbekistan 230100
| | - Paolo Lauriola
- International Society of Doctors for Environment (ISDE), Geneva, Switzerland
| | - Piero Portincasa
- Clinica Medica “A. Murri”, Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
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Air pollution and public health in Latin America and the Caribbean (LAC): a systematic review with meta-analysis. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022; 11:122. [PMID: 36196224 PMCID: PMC9523187 DOI: 10.1186/s43088-022-00305-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/19/2022] [Indexed: 11/26/2022] Open
Abstract
Background Over the years, air pollution has garnered increased attention from researchers who continue to provide studies and suggestive data that prove there is an ever-increasing risk of air pollution on the health of humans, terrestrial, and aquatic animals. A measurement involved in the quantity of certain traceable particles within the air, namely: Particulate Matter (PM) 2.5 and 10, ozone (O3), Nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) emissions, all converted to Air Quality Index. Most studies are predominantly from developed nations with limited research conducted in developing nations such as those in Latin America and the Caribbean. Main body In this systematic review, we examined the impact of air pollution on public health. A database search produced 1,118 studies, of which four were selected for a quantitative meta-analysis that explored hazard ratios concerning exposure to elevated levels of PM2.5. The meta-analysis results show that exposure to PM2.5 increases the risk of an adverse health event by as much as 2% five days after exposure. Results also indicated a consensus on the negative impacts of air pollution on public health. The results also suggest that more can be done within the region to combat or at the very least minimize the impact of air pollution to public health. Conclusion The pooled data from the studies reviewed show that there is an increased risk of an adverse health event on the day of exposure to PM2.5 and every subsequent day after exposure. A pattern exists between hospitalization and air pollution due to increased susceptibility to respiratory infections and asthma development. Combating the harmful effects of air pollution should be a top priority in Latin America and the Caribbean.
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English PB, Von Behren J, Balmes JR, Boscardin J, Carpenter C, Goldberg DE, Horiuchi S, Richardson M, Solomon G, Valle J, Reynolds P. Association between long-term exposure to particulate air pollution with SARS-CoV-2 infections and COVID-19 deaths in California, U.S.A. ENVIRONMENTAL ADVANCES 2022; 9:100270. [PMID: 35912397 PMCID: PMC9316717 DOI: 10.1016/j.envadv.2022.100270] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 07/06/2022] [Accepted: 07/25/2022] [Indexed: 05/08/2023]
Abstract
Previous studies have reported associations between air pollution and COVID-19 morbidity and mortality, but most have limited their exposure assessment to a large area, have not used individual-level variables, nor studied infections. We examined 3.1 million SARS-CoV-2 infections and 49,691 COVID-19 deaths that occurred in California from February 2020 to February 2021 to evaluate risks associated with long-term neighborhood concentrations of particulate matter less than 2.5 μm in diameter (PM2.5). We obtained individual address data on SARS-CoV-2 infections and COVID-19 deaths and assigned 2000-2018 1km-1km gridded PM2.5 surfaces to census block groups. We included individual covariate data on age and sex, and census block data on race/ethnicity, air basin, Area Deprivation Index, and relevant comorbidities. Our analyses were based on generalized linear mixed models utilizing a Poisson distribution. Those living in the highest quintile of long-term PM2.5 exposure had risks of SARS-CoV-2 infections 20% higher and risks of COVID-19 mortality 51% higher, compared to those living in the lowest quintile of long-term PM2.5 exposure. Those living in the areas of highest long-term PM2.5 exposure were more likely to be Hispanic and more vulnerable, based on the Area Deprivation Index. The increased risks for SARS-CoV-2 Infections and COVID-19 mortality associated with highest long-term PM2.5 concentrations at the neighborhood-level in California were consistent with a growing body of literature from studies worldwide, and further highlight the importance of reducing levels of air pollution to protect public health.
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Affiliation(s)
- Paul B English
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
| | - Julie Von Behren
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - John R Balmes
- Department of Medicine, University of California, San Francisco, CA, United States
| | - John Boscardin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Catherine Carpenter
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
| | - Debbie E Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
| | - Sophia Horiuchi
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
| | - Maxwell Richardson
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
| | - Gina Solomon
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
- Department of Medicine, University of California, San Francisco, CA, United States
| | - Jhaqueline Valle
- Tracking California Public Health Institute, 555 12th St., Suite 290, Oakland, CA 94607, United States
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States
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Zoran MA, Savastru RS, Savastru DM, Tautan MN. Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION : TRANSACTIONS OF THE INSTITUTION OF CHEMICAL ENGINEERS, PART B 2022; 166:368-383. [PMID: 36034108 PMCID: PMC9391082 DOI: 10.1016/j.psep.2022.08.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/12/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Over more than two years of global health crisis due to ongoing COVID-19 pandemic, Romania experienced a five-wave pattern. This study aims to assess the potential impact of environmental drivers on COVID-19 transmission in Bucharest, capital of Romania during the analyzed epidemic period. Through descriptive statistics and cross-correlation tests applied to time series of daily observational and geospatial data of major outdoor inhalable particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) or ≤ 10 µm (PM10), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), carbon monoxide (CO), Aerosol Optical Depth at 550 nm (AOD) and radon (222Rn), we investigated the COVID-19 waves patterns under different meteorological conditions. This study examined the contribution of individual climate variables on the ground level air pollutants concentrations and COVID-19 disease severity. As compared to the long-term average AOD over Bucharest from 2015 to 2019, for the same year periods, this study revealed major AOD level reduction by ~28 % during the spring lockdown of the first COVID-19 wave (15 March 2020-15 May 2020), and ~16 % during the third COVID-19 wave (1 February 2021-1 June 2021). This study found positive correlations between exposure to air pollutants PM2.5, PM10, NO2, SO2, CO and 222Rn, and significant negative correlations, especially for spring-summer periods between ground O3 levels, air temperature, Planetary Boundary Layer height, and surface solar irradiance with COVID-19 incidence and deaths. For the analyzed time period 1 January 2020-1 April 2022, before and during each COVID-19 wave were recorded stagnant synoptic anticyclonic conditions favorable for SARS-CoV-2 virus spreading, with positive Omega surface charts composite average (Pa/s) at 850 mb during fall- winter seasons, clearly evidenced for the second, the fourth and the fifth waves. These findings are relevant for viral infections controls and health safety strategies design in highly polluted urban environments.
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Key Words
- 222Rn
- 222Rn, Radon
- AOD, Total Aerosol Optical Depth at 550 nm
- Aerosol Optical Depth (AOD)
- CAMS, Copernicus Atmosphere Monitoring Service
- CO, Carbon monoxide
- COVID, 19 Coronavirus Disease 2019
- COVID-19 disease
- Climate variables
- DNC, Daily New COVID-19 positive cases
- DND, Daily New COVID-19 Deaths
- MERS, CoV Middle East respiratory syndrome coronavirus
- NO2, Nitrogen dioxide
- NOAA, National Oceanic and Atmospheric Administration U.S.A.
- O3, Ozone
- Outdoor air pollutants
- PBL, Planetary Boundary Layer height
- PM, Particulate Matter: PM1(1 µm), PM2.5 (2.5 µm) and PM10(10.0 µm) diameter
- RH, Air relative humidity
- SARS, CoV Severe Outdoor Respiratory Syndrome Coronavirus
- SARS, CoV-2 Severe Outdoor Respiratory Syndrome Coronavirus 2
- SI, Surface solar global irradiance
- SO2, Sulfur dioxide
- Synoptic meteorological circulation
- T, Air temperature at 2 m height
- p, Air pressure
- w, Wind speed intensity
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Affiliation(s)
- Maria A Zoran
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Roxana S Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Dan M Savastru
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
| | - Marina N Tautan
- IT Department, National Institute of R&D for Optoelectronics, Atomistilor Street 409, MG5, Magurele, Bucharest 077125, Romania
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Hammam EE, Al Ghamdi MA, Almazroui M, Hassan IA. The COVID-19 Pandemic: Quantification of Temporal Variations in Air Pollutants Before, During and Post the Lockdown in Jeddah City, Saudi Arabia. EARTH SYSTEMS AND ENVIRONMENT 2022; 6:917-926. [PMID: 36185412 PMCID: PMC9513300 DOI: 10.1007/s41748-022-00328-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/24/2022] [Accepted: 09/03/2022] [Indexed: 06/16/2023]
Abstract
The government of Saudi Arabia imposed a strict lockdown between March and July 2020 to stop the spread of the coronavirus disease (COVID-19), which has led to a sharp decline in economic activities. The daily temporal variations of PM10, PM2.5, carbon monoxide (CO), nitrogen dioxide (NO2), and ozone (O3) were used to investigate the changes in air quality in response to COVID-19 lockdown control measures from January to December 2020 in Jeddah, Saudi Arabia. Meteorological parameters (wind speed, direction, temperature, relative humidity) were also analyzed to understand the changes during the pandemic. As a result, significant reductions in the concentrations of NO2 (- 44.5%), CO (- 41.5%), and PM2.5, PM10 (- 29.5%, each) were measured in the capital city of Jeddah during the quarantine compared to the pre-lockdown average. In contrast, the lockdown caused a significant increase in O3 by 41%. The changes in air quality during the COVID-19 outbreak by comparing the average pollutant concentration before lockdown (January 1-March 21, 2020) and the following 12 weeks during the partial lockdown (March 22-July 28, 2020), reveal a very significant decrease in pollutants, and consequently a significant improvement in air quality. Observed differences are attributable to changes in point source emissions associated with changes in localized activities, possibly related to decreased economic and industrial activity in response to the lockdown. The results of the present study show during the study period indicated a positive response to lockdown during the COVID-19 pandemic. Furthermore, the results can be used to establish future control measures and strategies to improve air quality.
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Affiliation(s)
| | - Mansour A Al Ghamdi
- Faculty of Meteorology, Environment and Agriculture of Arid Regions, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mansour Almazroui
- Center of Excellence for Climate Change Research/Department of Meteorology, King Abdulaziz University, Jeddah, 21589 Saudi Arabia
- Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
| | - Ibrahim A Hassan
- Faculty of Science, Alexandria University, 21511 Moharem Bay, Alexandria, Egypt
- Scientific Committee of Environmental Problems (SCOPE), Academy of Scientific Research & Technology (ASRT), 101 Kasr Al Ini Street, Cairo, Egypt
- Centre of Excellence in Environmental Studies, King Abdulaziz University, Jeddah, Saudi Arabia
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Sarfraz M, Naseem S, Mohsin M, Bhutta MS, Jaffri ZUA. Recent analytical tools to mitigate carbon-based pollution: New insights by using wavelet coherence for a sustainable environment. ENVIRONMENTAL RESEARCH 2022; 212:113074. [PMID: 35304114 DOI: 10.1016/j.envres.2022.113074] [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: 12/31/2021] [Revised: 02/19/2022] [Accepted: 03/02/2022] [Indexed: 06/14/2023]
Abstract
Anthropogenic activities are a ubiquitous source of carbon-based pollution. A sustainable environment is endangered due to inefficiently regulated pollution policies, and the rise in world population further enhances the severity of this formidable challenge. This study has investigated the impact of the annual CO2 emissions in Pakistan on electricity production from different sectors, GDP, and the population by focusing on the control of carbon-based pollution. This research study intends to fill the gap in previous studies by providing significant measures to link the control of carbon-based pollution, increased GDP, and Pakistan's population, using data from 1990 to 2020. A set of 15 variables are mainly used to investigate all of these relations. Carbon pollution drastically impacts both the external and internal environment. The graphical analysis undertaken in this study finds an upward trend and significant positive correlation among the variables. It demonstrates that Pakistan shows minimal contribution in CO2 emission compared to other Asian economies, but in recent decades, an increasing growth rate has been noticeable and needs to be controlled. The ECM and ARDL approaches confirm that all the variables positively affect CO2 emission both in the long- and short-term, except for electricity production from gas and hydro in the long term, which shows negative relation. The long-term shifts also indicate that high CO2 emissions can be recovered from by adjusting these variables. The study also suggests that the government should convert high carbon use to low carbon energy use to control CO2 emissions in Pakistan.
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Affiliation(s)
- Muddassar Sarfraz
- School of Management, Zhejiang Shuren University, 312028, Hangzhou, Zhejiang, PR China.
| | - Sobia Naseem
- School of Economics and Management, Shijiazhuang Tiedao University, 050043, Shijiazhuang, Hebei, PR China.
| | - Muhammad Mohsin
- School of Business, Hunan University of Humanities, Science and Technology, 417000, Loudi, Hunan, PR China.
| | - Muhammad Shoaib Bhutta
- School of Electronics and Information Engineering, Wuxi University, 214105, Wuxi, Jiangsu, PR China.
| | - Zain Ul Abidin Jaffri
- College of Physics and Electronic Information Engineering, Neijiang Normal University, 641100, Neijiang, China.
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45
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Kato H, Takizawa A. Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city. PLoS One 2022; 17:e0267335. [PMID: 36048758 PMCID: PMC9436136 DOI: 10.1371/journal.pone.0267335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/12/2022] [Indexed: 11/19/2022] Open
Abstract
Control of human mobility is one of the most effective measures to prevent the spread of coronavirus disease 2019 (COVID-19). However, the imposition of emergency restrictions had significant negative impacts on citizens’ daily lives. As vaccination progresses, we need to consider more effective measures to control the spread of the infection. The research question of this study is as follows: Does the control of home range correlate with a reduction in the number of infected people during the COVID-19 pandemic? This study aims to clarify the correlation between home range and the number of people infected with SARS-CoV-2 during the COVID-19 pandemic in Ibaraki City. Home ranges are analyzed by the Minimum Convex Polygon method using mobile phone GPS location history data. We analyzed the time series cross-correlation between home range lengths and the number of infected people. Results reveal a slight positive correlation between home range and the number of infected people after one week during the COVID-19 pandemic. Regarding home range length, the cross-correlation coefficient is 0.4030 even at a lag level of six weeks, which has the most significant coefficient. Thus, a decrease in the home range is a weak factor correlated with a reduction in the number of infected people. This study makes a significant contribution to the literature by evaluating key public health challenges from the perspective of controliing the spread of the COVID-19 infectuion. Its findings has implications for policy makers, practitioners, and urban scientists seeking to promote urban sustainability.
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Affiliation(s)
- Haruka Kato
- Department of Housing and Environmental Design, Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka, Japan
- * E-mail:
| | - Atsushi Takizawa
- Department of Housing and Environmental Design, Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka, Japan
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Li HL, Yang BY, Wang LJ, Liao K, Sun N, Liu YC, Ma RF, Yang XD. A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission. ENVIRONMENTAL RESEARCH 2022; 212:113297. [PMID: 35436453 PMCID: PMC9011904 DOI: 10.1016/j.envres.2022.113297] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 05/15/2023]
Abstract
Meteorological factors have been confirmed to affect the COVID-19 transmission, but current studied conclusions varied greatly. The underlying causes of the variance remain unclear. Here, we proposed two scientific questions: (1) whether meteorological factors have a consistent influence on virus transmission after combining all the data from the studies; (2) whether the impact of meteorological factors on the COVID-19 transmission can be influenced by season, geospatial scale and latitude. We employed a meta-analysis to address these two questions using results from 2813 published articles. Our results showed that, the influence of meteorological factors on the newly-confirmed COVID-19 cases varied greatly among existing studies, and no consistent conclusion can be drawn. After grouping outbreak time into cold and warm seasons, we found daily maximum and daily minimum temperatures have significant positive influences on the newly-confirmed COVID-19 cases in cold season, while significant negative influences in warm season. After dividing the scope of the outbreak into national and urban scales, relative humidity significantly inhibited the COVID-19 transmission at the national scale, but no effect on the urban scale. The negative impact of relative humidity, and the positive impacts of maximum temperatures and wind speed on the newly-confirmed COVID-19 cases increased with latitude. The relationship of maximum and minimum temperatures with the newly-confirmed COVID-19 cases were more susceptible to season, while relative humidity's relationship was more affected by latitude and geospatial scale. Our results suggested that relationship between meteorological factors and the COVID-19 transmission can be affected by season, geospatial scale and latitude. A rise in temperature would promote virus transmission in cold seasons. We suggested that the formulation and implementation of epidemic prevention and control should mainly refer to studies at the urban scale. The control measures should be developed according to local meteorological properties for individual city.
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Affiliation(s)
- Hong-Li Li
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China
| | - Bai-Yu Yang
- College of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China
| | - Li-Jing Wang
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China
| | - Ke Liao
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China
| | - Nan Sun
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China
| | - Yong-Chao Liu
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China; Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research at Ningbo University, Ningbo, 315211, China; Donghai Academy, Ningbo University, Ningbo, 315211, China
| | - Ren-Feng Ma
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China; Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research at Ningbo University, Ningbo, 315211, China; Donghai Academy, Ningbo University, Ningbo, 315211, China
| | - Xiao-Dong Yang
- College of Geography and Tourism Culture, Ningbo University, Ningbo, 315211, China; Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research at Ningbo University, Ningbo, 315211, China; Donghai Academy, Ningbo University, Ningbo, 315211, China.
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47
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Orak NH. Effect of ambient air pollution and meteorological factors on the potential transmission of COVID-19 in Turkey. ENVIRONMENTAL RESEARCH 2022; 212:113646. [PMID: 35688216 PMCID: PMC9172252 DOI: 10.1016/j.envres.2022.113646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 05/22/2023]
Abstract
There is a need to improve the understanding of air quality parameters and meteorological conditions on the transmission of SARS-CoV-2 in different regions of the world. In this preliminary study, we explore the relationship between short-term air quality (nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and particulate matter (PM2.5, PM10)) exposure, temperature, humidity, and wind speed on SARS-CoV-2 transmission in 41 cities of Turkey with reported weekly cases from February 8 to April 2, 2021. Both linear and non-linear relationships were explored. The nonlinear association between weekly confirmed cases and short-term exposure to predictor factors was investigated using a generalized additive model (GAM). The preliminary results indicate that there was a significant association between humidity and weekly confirmed COVID-19 cases. The cooler temperatures had a positive correlation with the occurrence of new confirmed cases. The low PM2.5 concentrations had a negative correlation with the number of new cases, while reducing SO2 concentrations may help decrease the number of new cases. This is the first study investigating the relationship between measured air pollutants, meteorological factors, and the number of weekly confirmed COVID-19 cases across Turkey. There are several limitations of the presented study, however, the preliminary results show that there is a need to understand the impacts of regional air quality parameters and meteorological factors on the transmission of the virus.
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Affiliation(s)
- Nur H Orak
- Marmara University, Department of Environmental Engineering, Istanbul, Turkey.
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48
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Shim SR, Kim HJ, Hong M, Kwon SK, Kim JH, Lee SJ, Lee SW, Han HW. Effects of meteorological factors and air pollutants on the incidence of COVID-19 in South Korea. ENVIRONMENTAL RESEARCH 2022; 212:113392. [PMID: 35525295 PMCID: PMC9068245 DOI: 10.1016/j.envres.2022.113392] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 06/14/2023]
Abstract
Air pollution and meteorological factors can exacerbate susceptibility to respiratory viral infections. To establish appropriate prevention and intervention strategies, it is important to determine whether these factors affect the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, this study examined the effects of sunshine, temperature, wind, and air pollutants including sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), particulate matter ≤2.5 μm (PM2.5), and particulate matter ≤10 μm (PM10) on the age-standardized incidence ratio of coronavirus disease (COVID-19) in South Korea between January 2020 and April 2020. Propensity score weighting was used to randomly select observations into groups according to whether the case was cluster-related, to reduce selection bias. Multivariable logistic regression analyses were used to identify factors associated with COVID-19 incidence. Age 60 years or over (odds ratio [OR], 1.29; 95% CI, 1.24-1.35), exposure to ambient air pollutants, especially SO2 (OR, 5.19; 95% CI, 1.13-23.9) and CO (OR, 1.17; 95% CI, 1.07-1.27), and non-cluster infection (OR, 1.28; 95% CI, 1.24-1.32) were associated with SARS-CoV-2 infection. To manage and control COVID-19 effectively, further studies are warranted to confirm these findings and to develop appropriate guidelines to minimize SARS-CoV-2 transmission.
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Affiliation(s)
- Sung Ryul Shim
- Department of Health and Medical Informatics, Kyungnam University College of Health Sciences, Changwon, Republic of Korea; Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Hye Jun Kim
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Myunghee Hong
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Sun Kyu Kwon
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Ju Hee Kim
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Sang Jun Lee
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Seung Won Lee
- Department of Data Science, Sejong University College of Software Convergence, Seoul, Republic of Korea
| | - Hyun Wook Han
- Institute for Biomedical Informatics, School of Medicine, CHA University, Seongnam, Republic of Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea; Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea; Healthcare Big-Data Center, Bundang CHA Hospital, Seongnam, Republic of Korea
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49
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Burns CJ, LaKind JS, Naiman J, Boon D, Clougherty JE, Rule AM, Zidek A. Research on COVID-19 and air pollution: A path towards advancing exposure science. ENVIRONMENTAL RESEARCH 2022; 212:113240. [PMID: 35390303 PMCID: PMC8979614 DOI: 10.1016/j.envres.2022.113240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 05/26/2023]
Abstract
The COVID-19 pandemic has resulted in an extraordinary incidence of morbidity and mortality, with almost 6 million deaths worldwide at the time of this writing (https://covid19.who.int/). There has been a pressing need for research that would shed light on factors - especially modifiable factors - that could reduce risks to human health. At least several hundred studies addressing the complex relationships among transmission of SARS-CoV-2, air pollution, and human health have been published. However, these investigations are limited by available and consistent data. The project goal was to seek input into opportunities to improve and fund exposure research on the confluence of air pollution and infectious agents such as SARS-CoV-2. Thirty-two scientists with expertise in exposure science, epidemiology, risk assessment, infectious diseases, and/or air pollution responded to the outreach for information. Most of the respondents expressed value in developing a set of common definitions regarding the extent and type of public health lockdown. Traffic and smoking ranked high as important sources of air pollution warranting source-specific research (in contrast with assessing overall ambient level exposures). Numerous important socioeconomic factors were also identified. Participants offered a wide array of inputs on what they considered to be essential studies to improve our understanding of exposures. These ranged from detailed mechanistic studies to improved air quality monitoring studies and prospective cohort studies. Overall, many respondents indicated that these issues require more research and better study design. As an exercise to solicit opinions, important concepts were brought forth that provide opportunities for scientific collaboration and for consideration for funding prioritization. Further conversations on these concepts are needed to advance our thinking on how to design research that moves us past the documented limitations in the current body of research and prepares us for the next pandemic.
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Affiliation(s)
- Carol J Burns
- Burns Epidemiology Consulting, LLC, 255 W Sunset Ct., Sanford, MI, 48657, USA.
| | - Judy S LaKind
- LaKind Associates, LLC, 106 Oakdale Avenue, Catonsville, MD, 21228, USA; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
| | - Josh Naiman
- Naiman Consulting, LLC, 504 S 44th St, Apt 2, Phila, PA, 19104, USA.
| | - Denali Boon
- Corteva Agriscience, 9330 Zionsville Rd, Indianapolis, IN, 46268, USA.
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, 3215 Market St, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
| | - Ana M Rule
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, The Johns Hopkins University, 615 N Wolfe St, Baltimore, MD, 21205, USA.
| | - Angelika Zidek
- Existing Substances Risk Assessment Bureau, 269 Laurier Ave, West, Health Canada, Ottawa, Ontario, Canada.
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50
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Kim C, Yu J, Lee YG, Kim J, Bae S. Identifying behavior of long-distance virus transmission and mitigation performance from a COVID-19 outbreak of a daycare center. ENVIRONMENTAL RESEARCH 2022; 212:113318. [PMID: 35461843 PMCID: PMC9022399 DOI: 10.1016/j.envres.2022.113318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/11/2022] [Accepted: 04/12/2022] [Indexed: 06/14/2023]
Abstract
During the last two years, hundreds of millions of people in the world have been infected with SARS-CoV-2 due to recurrent waves and closed spaces. Daycare centers are critical infrastructures that cannot be replaced, even during the COVID-19 period. However, the existing settings in daycare centers may pose risks of inevitable close contact between teachers and children, as well as fomite and airborne transmission during care hours. Therefore, reinforced mitigation strategies have been applied in daycare centers to reduce potential indoor virus transfer in many countries. However, numerous outbreaks of COVID-19 have been reported in daycare centers. Therefore, in this study, researchers focused on the risk and behavior of long-distance virus transmission based on the detected viruses on air purifier filter sampling in a daycare center outbreak in Korea. Various experiments of possible situations were conducted in nursing rooms based on field interviews. The experiments monitored the long-distance transmission behavior of aerosol-sized particles and visualized particle behavior at the daycare center. The results of this study revealed that long-distance virus transmission is possible under the current settings in the daycare center, and flush-out can be an important countermeasure with reinforced ventilation methods to prevent potential airborne spread in the daycare center. The results of air purifiers represented that air purifiers should be properly installed and operated in the daycare center to prevent airborne virus spread by airflow during occupied hours. The findings of this study will contribute to the understanding of airborne virus risk and the development of customized virus measures for daycare centers.
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Affiliation(s)
- Chul Kim
- Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, South Korea
| | - Jungyeon Yu
- Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, South Korea
| | - Yun Gyu Lee
- Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, South Korea
| | - Jieun Kim
- Chungcheong Regional Center for Disease Control and Prevention, Daejeon, 35233, South Korea
| | - Sanghwan Bae
- Department of Building Research, Korea Institute of Civil Engineering and Building Technology, Goyang-Si, 10223, South Korea.
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