ArticleInfection control and hospital epidemiology2020
Effect of ambient air pollutants and meteorological variables on COVID-19 incidence.
Article in Infection control and hospital epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
67 citing papers in PubMed, 5 syntheses or guidelines pooled it, 152 citations in OpenAlex.
- Association of Particulate Matter (PM2.5) With COVID-19 Infection and Mortality in Low-and Middle-income Asian Countries: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Pooled it
- Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges.Environmental research · 2022Pooled it
- Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies.Environmental research · 2022Pooled it
- A Review of Influencing Factors on Spatial Spread of COVID-19 Based on Geographical Perspective.International journal of environmental research and public health · 2021Pooled it
- The role of air pollution (PM and NOEnvironmental research · 2020Pooled it
- TVISARS-CoV-2: a multicriteria index and urban dynamics in Minas Gerais, Brazil.Revista de saude publica · 2026Article
- Modulation of COVID-19 incidence by environmental stressors is variant between pre-Omicron and Omicron periods.Scientific reports · 2025Article
- Assessing the risks of short-term exposure to ambient air pollutants on COVID-19 hospitalizations in Tehran, Iran: a time-stratified case-crossover approach.Frontiers in public health · 2025Article
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- Associations Between Anthropogenic Factors, Meteorological Factors, and Cause-Specific Emergency Department Admissions.GeoHealth · 2024Article
- Article
- Indirect Effects of PMAnnals of global health · 2024Article
- Identification of biological indicators for human exposure toxicology in smart cities based on public health data and deep learning.Frontiers in public health · 2024Article
- Path integral control of a stochastic multi-risk SIR pandemic model.Theory in biosciences = Theorie in den Biowissenschaften · 2023Article
- SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México.Infectious Disease Modelling · 2023Article
- Air pollution and respiratory infections: the past, present, and future.Toxicological sciences : an official journal of the Society of Toxicology · 2023Review
- Long-term air pollution exposure and COVID-19 case-severity: An analysis of individual-level data from Switzerland.Environmental research · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- Lockdown Amid COVID-19 Ascendancy over Ambient Particulate Matter Pollution Anomaly.International journal of environmental research and public health · 2022Review
- Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2.Hygiene and environmental health advances · 2022Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine whether ambient air pollutants and meteorological variables are associated with daily COVID-19 incidence.
designA retrospective cohort from January 25 to February 29, 2020.
settingCities of Wuhan, Xiaogan, and Huanggang, China. PATIENTS: The COVID-19 cases detected each day.
methodsWe collected daily data of COVID-19 incidence, 8 ambient air pollutants (particulate matter of ≤2.5 µm [PM2.5], particulate matter ≤10 µm [PM10], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and maximum 8-h moving average concentrations for ozone [O3-8h]) and 3 meteorological variables (temperature, relative humidity, and wind) in China's 3 worst COVID-19-stricken cities during the study period. The multivariate Poisson regression was performed to understand their correlation.
resultsDaily COVID-19 incidence was positively associated with PM2.5 and humidity in all cities. Specifically, the relative risk (RR) of PM2.5 for daily COVID-19 incidences were 1.036 (95% confidence interval [CI], 1.032-1.039) in Wuhan, 1.059 (95% CI, 1.046-1.072) in Xiaogan, and 1.144 (95% CI, 1.12-1.169) in Huanggang. The RR of humidity for daily COVID-19 incidence was consistently lower than that of PM2.5, and this difference ranged from 0.027 to 0.111. Moreover, PM10 and temperature also exhibited a notable correlation with daily COVID-19 incidence, but in a negative pattern The RR of PM10 for daily COVID-19 incidence ranged from 0.915 (95% CI, 0.896-0.934) to 0.961 (95% CI, 0.95-0.972, while that of temperature ranged from 0.738 (95% CI, 0.717-0.759) to 0.969 (95% CI, 0.966-0.973).
conclusionsOur data show that PM2.5 and humidity are substantially associated with an increased risk of COVID-19 and that PM10 and temperature are substantially associated with a decreased risk of COVID-19.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.