Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Sahoo, Mrunmayee Manjari

doi:10.1007/s11356-021-12709-z

Cited by 23 publications

(21 citation statements)

References 157 publications

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“…First, 1995 duplicates were excluded and then 3131 and 70 records were excluded based on the title and abstract, respectively. Full texts of 132 records were evaluated and in the end 35 articles that met the criteria were included in the study ( Adhikari and Yin, 2020 ; Azuma et al, 2020 ; Berg et al, 2021 ; Cabrera-Cano et al, 2021 ; Coker et al, 2020 ; Dales et al, 2021 ; De Angelis et al, 2021 ; Elliott et al, 2021 ; Fang et al, 2021 ; Hoang and Tran, 2020 ; Hoang et al, 2020 ; Huang and Brown, 2021 ; Jiang et al, 2020 ; Konstantinoudis et al, 2021 ; Linares et al, 2021 ; Lorenzo et al, 2021 ; Lu et al, 2021 ; Ma et al, 2021 ; Qeadan et al, 2021 ; Petroni et al, 2020 ; Rodriguez-Villamizar et al, 2020 ; Sahoo, 2021 ; Sanchez-Piedra et al, 2021 ; Setti et al, 2020 ; Stieb et al, 2020 ; Travaglio et al, 2021 ; Valdés Salgado et al, 2021 ; Wang et al, 2020 ; Wu et al, 2020a , 2020b , 2020b ; Xu et al, 2020 ; Zhang et al, 2021 ; Zheng et al, 2021 ; Zhou et al, 2021 ; Zhu et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies

Zang

Luan

et al. 2022

Environmental Research

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Background and aims The coronavirus disease 2019 (COVID-19) pandemic is severely threatening and challenging public health worldwide. Epidemiological studies focused on the influence of outdoor air pollution (AP) on COVID-19 risk have produced inconsistent conclusions. We aimed to quantitatively explore this association using a meta-analysis. Methods We searched for studies related to outdoor AP and COVID-19 risk in the Embase, PubMed, and Web of Science databases. No language restriction was utilized. The search date entries were up to August 13, 2021. Pooled estimates and 95% confidence intervals (CIs) were obtained with random-/fixed-effects models. PROSPERO registration number: CRD42021244656. Results A total of 35 articles were eligible for the meta-analysis. For long-term exposure to AP, COVID-19 incidence was positively associated with 1 μg/m 3 increase in nitrogen dioxide (NO 2 ; effect size = 1.042, 95% CI 1.017–1.068), particulate matter with diameter <2.5 μm (PM 2.5 ; effect size = 1.056, 95% CI 1.039–1.072), and sulfur dioxide (SO 2 ; effect size = 1.071, 95% CI 1.002–1.145). The COVID-19 mortality was positively associated with 1 μg/m 3 increase in nitrogen dioxide (NO 2 ; effect size = 1.034, 95% CI 1.006–1.063), PM 2.5 (effect size = 1.047, 95% CI 1.025–1.1071). For short-term exposure to air pollutants, COVID-19 incidence was positively associated with 1 unit increase in air quality index (effect size = 1.001, 95% CI 1.001–1.002), 1 μg/m 3 increase NO 2 (effect size = 1.014, 95% CI 1.011–1.016), particulate matter with diameter <10 μm (PM 10 ; effect size = 1.005, 95% CI 1.003–1.008), PM 2.5 (effect size = 1.003, 95% CI 1.002–1.004), and SO 2 (effect size = 1.015, 95% CI 1.007–1.023). Conclusions Outdoor air pollutants are detrimental factors to COVID-19 outcomes. Measurements beneficial to reducing pollutant levels might also reduce the burden of the pandemic.

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Section: Resultsmentioning

confidence: 99%

Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies

Zang

Luan

et al. 2022

Environmental Research

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“…Beyond three air pollutants: NO 2 , PM 2.5 and O 3 that were investigated in this study, other air pollutants including carbon monoxide (CO), particulate matter with a diameter less than 10 μm or less (PM 10 ), and sulfur dioxide (SO 2 ) are also important ambient air pollutants that have been investigated for their associations with COVID-19 prevalence and incidence, mostly in Europe and China. Several studies have found associations between exposure to PM 10 and increased number of COVID-19 cases ( Setti et al, 2020 ; Bianconi et al, 2020 ; De Angelis et al, 2021 ; Jiang et al, 2020 ; Zhu et al, 2020b ; Solimini et al, 2021 ; Sahoo, 2021 ; Zheng et al, 2021 ; Ma et al, 2021 ; Saez et al, 2020 ), while fewer studies have investigated the role of CO and SO 2 for their associations with COVID-19 incidence and transmissibility and results were inconsistent across studies ( Meo et al, 2021 ; Ran et al, 2020 ). The associations of short- and long-term exposures to PM 10 , SO 2 and CO in Southern California need to be investigated in future studies.…”

Section: Discussionmentioning

confidence: 99%

Ambient air pollution and COVID-19 incidence during four 2020–2021 case surges

Sidell

Chen

Huang

et al. 2022

Environmental Research

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Background Air pollution exposure may make people more vulnerable to COVID-19 infection. However, previous studies in this area mostly focused on infection before May 2020 and long-term exposure. Objective To assess both long-term and short-term exposure to air pollution and COVID-19 incidence across four case surges from 03/1/2020 to 02/28/2021. Methods The cohort included 4.6 million members from a large integrated health care system in southern California with comprehensive electronic medical records (EMR). COVID-19 cases were identified from EMR. Incidence of COVID-19 was computed at the census tract-level among members. Prior 1-month and 1-year averaged air pollutant levels (PM 2.5 , NO 2 , and O 3 ) at the census tract-level were estimated based on hourly and daily air quality data. Data analyses were conducted by each wave: 3/1/2020–5/31/2020, 6/1/202–9/30/2020, 10/1/2020–12/31/2020, and 1/1/2021–2/28/2021 and pooled across waves using meta-analysis. Generalized linear mixed effects models with Poisson distribution and spatial autocorrelation were used with adjustment for meteorological factors and census tract-level social and health characteristics. Results were expressed as relative risk (RR) per 1 standard deviation. Results The cohort included 446,440 COVID-19 cases covering 4609 census tracts. The pooled RRs (95% CI) of COVID-19 incidence associated with 1-year exposures to PM 2.5 , NO 2 , and O 3 were 1.11 (1.04, 1.18) per 2.3 μg/m 3 ,1.09 (1.02, 1.17) per 3.2 ppb, and 1.06 (1.00, 1.12) per 5.5 ppb respectively. The corresponding RRs (95% CI) associated with prior 1-month exposures were 1.11 (1.03, 1.20) per 5.2 μg/m 3 for PM 2.5 , 1.09 (1.01, 1.17) per 6.0 ppb for NO 2 and 0.96 (0.85, 1.08) per 12.0 ppb for O 3 . Conclusion Long-term PM 2.5 and NO 2 exposures were associated with increased risk of COVID-19 incidence across all case surges before February 2021. Short-term PM 2.5 and NO 2 exposures were also associated. Our findings suggest that air pollution may play a role in increasing the risk of COVID-19 infection.

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“…On the contrary, in Turkmenistan, where initially the presence of COVID-19 cases was not recognized, reductions in NO 2 levels were the lowest. However, it is possible that a small part of the reduction may also be caused by meteorological variability (wind, temperature, cloud cover, and humidity), which can affect the transport and lifespan of NO x (Bassani et al 2021 ; Sahoo 2021 ).…”

Section: Resultsmentioning

confidence: 99%

The impact of lockdown on nitrogen dioxide (NO2) over Central Asian countries during the COVID-19 pandemic

Zhang

Liu

et al. 2021

Environ Sci Pollut Res

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Nitrogen dioxide (NO 2 ) is one of the main air pollutants, formed due to both natural and anthropogenic processes, which has a significant negative impact on human health. The COVID-19 pandemic has prompted countries to take various measures, including social distancing or stay-at-home orders. This study analyzes the impact of COVID-19 lockdown measures on nitrogen dioxide (NO 2 ) changes in Central Asian countries. Data from TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite, as well as meteorological data, make it possible to assess changes in NO 2 concentration in countries and major cities in the region. In particular, the obtained satellite data show a decreased tropospheric column of NO 2 . Its decrease during the lockdown (March 19–April 14) ranged from − 5.1% (Tajikistan) to − 11.6% (Turkmenistan). Based on the obtained results, it can be concluded that limitations in anthropogenic activities have led to improvements in air quality. The possible influence of meteorology is not assessed in this study, and the implied uncertainties cannot be quantified. In this way, the level of air pollution is expected to decrease as long as partial or complete lockdown continues.

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Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Cited by 23 publications

References 157 publications

Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies

Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies

Ambient air pollution and COVID-19 incidence during four 2020–2021 case surges

The impact of lockdown on nitrogen dioxide (NO2) over Central Asian countries during the COVID-19 pandemic

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