ArticleEnvironmental research2021
Influence of temperature, and of relative and absolute humidity on COVID-19 incidence in England - A multi-city time-series study.
Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Impact of temperature and humidity on SARS-CoV-2 transmissibility: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Exposure-lag response of air temperature on COVID-19 incidence in twelve Italian cities: A meta-analysis.Environmental research · 2022Pooled it
- Meta-analysis of the effects of ambient temperature and relative humidity on the risk of mumps.Scientific reports · 2022Pooled it
- Combining and comparing regional SARS-CoV-2 epidemic dynamics in Italy: Bayesian meta-analysis of compartmental models and global sensitivity analysis.Frontiers in public health · 2022Pooled it
- Assessing antibacterial, antiviral, and antifungal efficacy of non-porous materials using small droplet transfer: the simulated splash method.Applied and environmental microbiology · 2026Article
- Humidity impacts volatile anesthetic and heat responses of malignant hyperthermia susceptible mice.Skeletal muscle · 2026Article
- Decoding Weather Fingerprints of Upper Respiratory Pathogens: A One-year Observational Study in Northern Greece.Current microbiology · 2025Observational
- Developing Machine Learning Prediction Model for Daily Influenza Reported Cases Using Multichannel Surveillance Data - A City, Hubei Province, China, 2023-2025.China CDC weekly · 2025Article
- Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps.Scientific reports · 2024Article
- Exploring indoor and outdoor dust as a potential tool for detection and monitoring of COVID-19 transmission.iScience · 2024Article
- Airborne transmission efficiency of SARS-CoV-2 in Syrian hamsters is not influenced by environmental conditions.Npj viruses · 2024Article
- Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: statistical methods.Frontiers in public health · 2024Article
- Association of Ambient Temperature and Absolute Humidity with the Effective Reproduction Number of COVID-19 in Japan.Pathogens (Basel, Switzerland) · 2023Article
- Epidemic threshold of a COVID-19 model with gaussian white noise and semi-Markov switching.Journal of the Franklin Institute · 2023Article
- Effects of fine particulate matter (PMCase studies in chemical and environmental engineering · 2023Article
- Article
- Environment and COVID-19 incidence: A critical review.Journal of environmental sciences (China) · 2023Review
- Five waves of the COVID-19 pandemic and green-blue spaces in urban and rural areas in Poland.Environmental research · 2023Article
- Possibility of the COVID-19 third wave in India: mapping from second wave to third wave.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
Corrections and comments
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2 authors.
Funding
Abstract
backgroundSARS-CoV-2 caused the COVID-19 pandemic in 2020. The virus is likely to show seasonal dynamics in European climates as other respiratory viruses and coronaviruses do. Analysing the association with meteorological factors might be helpful to anticipate how cases will develop with changing seasons.
methodsRoutinely measured ambient daily mean temperature, absolute humidity, and relative humidity were the explanatory variables of this analysis. Test-positive COVID-19 cases represented the outcome variable. The analysis included 54 English cities. A two-stage meta-regression was conducted. At the first stage, we used a quasi-Poisson generalized linear model including distributed lag non-linear elements. Thereby, we investigate the explanatory variables' non-linear effects as well as the non-linear effects across lags.
resultsThis study found a non-linear association of COVID-19 cases with temperature. At 11.9°C there was 1.62-times (95%-CI: 1.44; 1.81) the risk of cases compared to the temperature-level with the smallest risk (21.8°C). Absolute humidity exhibited a 1.61-times (95%-CI: 1.41; 1.83) elevated risk at 6.6 g/m
conclusionThe analysis suggests that in England meteorological variables likely influence COVID-19 case development. These results reinforce the importance of non-pharmaceutical interventions (e.g., social distancing and mask use) during all seasons, especially with cold and dry weather conditions.
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