ArticleEpidemiology and infection2022
The impact of meteorological factors and PM2.5 on COVID-19 transmission.
Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Interactive and joint effects of multiple meteorological and air pollution exposures on hand, foot and mouth disease risk in western China: a time-series analysis.BMJ public health · 2026Article
- The effect of research on COVID-19 and PMEnvironmental monitoring and assessment · 2023Article
- Prediction of in-hospital mortality rate in COVID-19 patients with diabetes mellitus using machine learning methods.Journal of diabetes and metabolic disorders · 2023Article
- What Factors Dominate the Change of PMInternational journal of environmental research and 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
- The impact of meteorological factors and PM2.5 on COVID-19 transmission - CORRIGENDUM.Epidemiology and infection · 2022Article
- The association of airborne particulate matter and benzo[a]pyrene with the clinical course of COVID-19 in patients hospitalized in Poland.Environmental pollution (Barking, Essex : 1987) · 2022Article
- Multi-dimensional impacts of Coronavirus disease 2019 pandemic on Sustainable Development Goal achievement.Globalization and health · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we analysed the relationship between meteorological factors and the number of patients with coronavirus disease 2019 (COVID-19). The study period was from 12 April 2020 to 13 October 2020, and daily meteorological data and the daily number of patients with COVID-19 in each state of the United States were collected. Based on the number of COVID-19 patients in each state of the United States, we selected four states (California, Florida, New York, Texas) for analysis. One-way analysis of variance ( ANOVA), scatter plot analysis, correlation analysis and distributed lag nonlinear model (DLNM) analysis were used to analyse the relationship between meteorological factors and the number of patients with COVID-19. We found that the significant influencing factors of the number of COVID-19 cases differed among the four states. Specifically, the number of COVID-19 confirmed cases in California and New York was negatively correlated with AWMD (P < 0.01) and positively correlated with AQI, PM2.5 and TAVG (P < 0.01) but not significantly correlated with other factors. Florida was significantly correlated with TAVG (positive) (P < 0.01) but not significantly correlated with other factors. The number of COVID-19 cases in Texas was only significantly negatively associated with AWND (P < 0.01). The influence of temperature and PM2.5 on the spread of COVID-19 is not obvious. This study shows that when the wind speed was 2 m/s, it had a significant positive correlation with COVID-19 cases. The impact of meteorological factors on COVID-19 may be very complicated. It is necessary to further explore the relationship between meteorological factors and COVID-19. By exploring the influence of meteorological factors on COVID-19, we can help people to establish a more accurate early warning system.
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