ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
Air pollution and temperature are associated with increased COVID-19 incidence: A time series study.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 6 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
130 citing papers in PubMed, 6 syntheses or guidelines pooled it, 294 citations in OpenAlex.
- A review of strategies and their effectiveness in reducing indoor airborne transmission and improving indoor air quality.Environmental research · 2022Pooled it
- Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges.Environmental research · 2022Pooled it
- Acute and chronic exposure to air pollution in relation with incidence, prevalence, severity and mortality of COVID-19: a rapid systematic review.Environmental health : a global access science source · 2021Pooled it
- An updated systematic review on the association between atmospheric particulate matter pollution and prevalence of SARS-CoV-2.Environmental research · 2021Pooled it
- The role of air pollution (PM and NOEnvironmental research · 2020Pooled it
- Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study.Inquiry : a journal of medical care organization, provision and financingPooled it
- Article
- Real-time dynamic prediction of HFMD transmission using SEIRQ-ARIMA hybrid model optimized by multi-stage ABC-GWO algorithm.Scientific reports · 2026Article
- Ambient Air Pollution and COVID-19 in California.Research report (Health Effects Institute) · 2026Article
- Modulation of COVID-19 incidence by environmental stressors is variant between pre-Omicron and Omicron periods.Scientific reports · 2025Article
- Article
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- Article
- Article
- Influence of Environmental Factors and Genome Diversity on Cumulative COVID-19 Cases in the Highland Region of China: Comparative Correlational Study.Interactive journal of medical research · 2024Article
- Causal effect of air pollution and meteorology on the COVID-19 pandemic: A convergent cross mapping approach.Heliyon · 2024Article
- The impact of COVID-19 pandemic on air particulate matter exposure and heart attacks: a 5-year retrospective cohort study in Taiwan (2017-2021).Frontiers in public health · 2024Article
- Exploring the spatial pattern of community urban green spaces and COVID-19 risk in Wuhan based on a random forest model.Heliyon · 2023Article
- Survey of Time Series Data Generation in IoT.Sensors (Basel, Switzerland) · 2023Review
- Insight of smart biosensors for COVID-19: A review.Luminescence : the journal of biological and chemical luminescence · 2023Review
70 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
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAlthough COVID-19 is known to be caused by human-to-human transmission, it remains largely unclear whether ambient air pollutants and meteorological parameters could promote its transmission.
methodsA retrospective study was conducted to study whether air quality index (AQI), four ambient air pollutants (PM
resultsFirst, a significant correlation was found between COVID-19 incidence and AQI in both Wuhan (R
conclusionsAQI, PM
Indexed as
Identifiers
What OpenQuestion holds
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.