ArticleThe Science of the total environment2020
Possible environmental effects on the spread of COVID-19 in China.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 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
71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 187 citations in OpenAlex.
- Ambient air pollution and COVID-19 risk: Evidence from 35 observational studies.Environmental research · 2022Pooled it
- Applications of GIS and geospatial analyses in COVID-19 research: A systematic review.F1000Research · 2020Pooled it
- Time series analysis of low-concentration air pollution and hospital respiratory disease outpatient visits.Frontiers in public health · 2025Article
- Rain, rain, go away, come again another day: do climate variations enhance the spread of COVID-19?Globalization and health · 2024Review
- A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics.International journal of environmental research and public health · 2024Article
- Effect of a Total Extract and Saponins fromInternational journal of molecular sciences · 2023Article
- Role of meteorological parameters with the spread of Covid-19 in Pakistan: application of autoregressive distributed lag approach.International journal of environmental science and technology : IJEST · 2023Article
- Impact of Covid-19 pandemic lockdown on the urban litter and clean environment index.Scientific reports · 2023Article
- A Literature Review of the Effects of Air Pollution on COVID-19 Health Outcomes Worldwide: Statistical Challenges and Data Visualization.Annual review of public health · 2023Review
- Environment and COVID-19 incidence: A critical review.Journal of environmental sciences (China) · 2023Review
- Review
- Critical air pollutant assessments and health effects attributed to PMFrontiers in public health · 2023Article
- Machine learning analysis on the impacts of COVID-19 on India's renewable energy transitions and air quality.Environmental science and pollution research international · 2022Article
- Exploring the risk factors of COVID-19 Delta variant in the United States based on Bayesian spatio-temporal analysis.Transboundary and emerging diseases · 2022Article
- Article
- Analysis of Spatial and Temporal Changes of AQI in Wuhan City under the Urban Blockade of COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression.Transactions in GIS : TG · 2022Article
- "SARS-CoV-2 is transmitted by particulate air pollution": Misinterpretations of statistical data, skewed citation practices, and misuse of specific terminology spreading the misconception.Environmental research · 2022Article
- Novel Evidence Showing the Possible Effect of Environmental Variables on COVID-19 Spread.GeoHealth · 2022Article
- COVID-19 PCR test performance on samples stored at ambient temperature.Journal of virological methods · 2022Article
11 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
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At the end of 2019, a novel coronavirus, designated as SARS-CoV-2, emerged in Wuhan, China and was identified as the causal pathogen of COVID-19. The epidemic scale of COVID-19 has increased dramatically, with confirmed cases increasing across China and globally. Understanding the potential affecting factors involved in COVID-19 transmission will be of great significance in containing the spread of the epidemic. Environmental and meteorological factors might impact the occurrence of COVID-19, as these have been linked to various diseases, including severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), whose causative pathogens belong to the same virus family as SARS-CoV-2. We collected daily data of COVID-19 confirmed cases, air quality and meteorological variables of 33 locations in China for the outbreak period of 29 January 2020 to 15 February 2020. The association between air quality index (AQI) and confirmed cases was estimated through a Poisson regression model, and the effects of temperature and humidity on the AQI-confirmed cases association were analyzed. The results show that the effect of AQI on confirmed cases associated with an increase in each unit of AQI was statistically significant in several cities. The lag effect of AQI on the confirmed cases was statistically significant on lag day 1 (relative risk (RR) = 1.0009, 95% confidence interval (CI): 1.0004, 1.0013), day 2 (RR = 1.0007, 95% CI: 1.0003, 1.0012) and day 3 (RR = 1.0008, 95% CI: 1.0003, 1.0012). The AQI effect on the confirmed cases might be stronger in the temperature range of 10 °C ≤ T < 20 °C than in other temperature ranges, while the RR of COVID-19 transmission associated with AQI was higher in the relative humidity (RH) range of 10% ≤ RH < 20%. Results may suggest an enhanced impact of AQI on the COVID-19 spread under low RH.
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Registered trials
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.