ArticleInternational journal of environmental research and public health2021
Influence of Meteorological Factors on the COVID-19 Transmission with Season and Geographic Location.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission.Environmental research · 2022Pooled it
- COVID-19 and its association with meteorological, climate, and environmental factors: A systematic review.Journal of public health research · 2025Review
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- Data analysis evidence beyond correlation of a possible causal impact of weather on the COVID-19 spread, mediated by human mobility.Scientific reports · 2024Article
- Review
- Global Challenges After a Global Challenge: Lessons Learned from the COVID-19 Pandemic.Advances in experimental medicine and biology · 2024Article
- Relationship between meteorological factors and mortality in patients with coronavirus disease 2019: A cross-sectional study.Heliyon · 2023Article
- The impact of urban spatial environment on COVID-19: a case study in Beijing.Frontiers in public health · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- Analysis of the Lockdown Effects on the Economy, Environment, and COVID-19 Spread: Lesson Learnt from a Global Pandemic in 2020.International journal of environmental research and public health · 2022Article
- Assessing the Impact of Meteorological Factors on COVID-19 Seasonality in Metropolitan Chennai, India.Toxics · 2022Article
- Article
- Stochastic analysis of the relationship between atmospheric variables and coronavirus disease (COVID-19) in a hot, arid climate.Integrated environmental assessment and management · 2022Article
- The impact of meteorological factors and PM2.5 on COVID-19 transmission.Epidemiology and infection · 2022Article
- Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach.Environmental health insights · 2022Article
- Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations.Frontiers in public health · 2022Article
- Ventilation in worker dormitories and its impact on the spread of respiratory droplets.Sustainable cities and society · 2021Article
- Distinct weather conditions and human mobility impacts on the SARS-CoV-2 outbreak in Colombia: Application of an artificial neural network approach.International journal of hygiene and environmental health · 2021Article
- The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19.Environmental research · 2021Article
- Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study is to investigate whether the relationship between meteorological factors (i.e., daily maximum temperature, minimum temperature, average temperature, temperature range, relative humidity, average wind speed and total precipitation) and COVID-19 transmission is affected by season and geographical location during the period of community-based pandemic prevention and control. COVID-19 infected case records and meteorological data in four cities (Wuhan, Beijing, Urumqi and Dalian) in China were collected. Then, the best-fitting model of COVID-19 infected cases was selected from four statistic models (Gaussian, logistic, lognormal distribution and allometric models), and the relationship between meteorological factors and COVID-19 infected cases was analyzed using multiple stepwise regression and Pearson correlation. The results showed that the lognormal distribution model was well adapted to describing the change of COVID-19 infected cases compared with other models (R
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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.