ArticleJournal of translational medicine2022
Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.
Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 19 citations in OpenAlex.
- Relationship between short-term exposure to ambient sulfur dioxide and length of hospital stay after surgery for osteoporotic fractures: a distributed lag non-linear analysis.BMC public health · 2026Observational
- SARS-CoV-2 and climate factors: a study between linear regression and quantile regression model using longitudinal count data.BMC public health · 2026Article
- Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study.PLOS global public health · 2025Article
- Causal effect of air pollution and meteorology on the COVID-19 pandemic: A convergent cross mapping approach.Heliyon · 2024Article
- Exploring the effects and interactions of meteorological factors on the incidence of scrub typhus in Ganzhou City, 2008-2021.BMC public health · 2024Article
- The effects of ambient temperature on road traffic injuries in Jinan city: a time-stratified case-crossover study based on distributed lag nonlinear model.Frontiers in public health · 2024Article
- Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean).Frontiers in public health · 2024Article
- A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19.Journal of translational medicine · 2023Article
- Climate and COVID-19 transmission: a cross-sectional study in Africa.Scientific reports · 2023Article
- Article
- Lag-time effects of vaccination on SARS-CoV-2 dynamics in German hospitals and intensive-care units.Frontiers in public health · 2023Article
- The association of COVID-19 incidence with temperature, humidity, and UV radiation - A global multi-city analysis.The Science of the total environment · 2023Article
- Using a novel two-stage strategy to characterize the spatial distribution of associations between temperature and COVID-19: A case study in the continental United States.The Science of the total environment · 2022Article
- Impact of Selected Meteorological Factors on COVID-19 Incidence in Southern Finland during 2020-2021.International journal of environmental research and public health · 2022Article
- The Temporal Lagged Relationship Between Meteorological Factors and Scrub Typhus With the Distributed Lag Non-linear Model in Rural Southwest China.Frontiers in public health · 2022Article
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough numerous studies have explored the impact of meteorological factors on the epidemic of COVID-19, their relationship remains controversial and needs to be clarified.
methodsWe assessed the risk effect of various meteorological factors on COVID-19 infection using the distributed lag nonlinear model, based on related data from July 1, 2020, to June 30, 2021, in eight countries, including Portugal, Greece, Egypt, South Africa, Paraguay, Uruguay, South Korea, and Japan, which are in Europe, Africa, South America, and Asia, respectively. We also explored associations between COVID-19 prevalence and individual meteorological factors by the Spearman's rank correlation test.
resultsThere were significant non-linear relationships between both temperature and relative humidity and COVID-19 prevalence. In the countries located in the Northern Hemisphere with similar latitudes, the risk of COVID-19 infection was the highest at temperature below 5 ℃. In the countries located in the Southern Hemisphere with similar latitudes, their highest infection risk occurred at around 15 ℃. Nevertheless, in most countries, high temperature showed no significant association with reduced risk of COVID-19 infection. The effect pattern of relative humidity on COVID-19 depended on the range of its variation in countries. Overall, low relative humidity was correlated with increased risk of COVID-19 infection, while the high risk of infection at extremely high relative humidity could occur in some countries. In addition, relative humidity had a longer lag effect on COVID-19 than temperature.
conclusionsThe effects of meteorological factors on COVID-19 prevalence are nonlinear and hysteretic. Although low temperature and relative humidity may lower the risk of COVID-19, high temperature or relative humidity could also be associated with a high prevalence of COVID-19 in some regions.
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