ArticleInfectious diseases of poverty2020
Transmissibility of COVID-19 in 11 major cities in China and its association with temperature and humidity in Beijing, Shanghai, Guangzhou, and Chengdu.
Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of temperature and humidity on SARS-CoV-2 transmissibility: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Data analysis evidence beyond correlation of a possible causal impact of weather on the COVID-19 spread, mediated by human mobility.Scientific reports · 2024Article
- Do Weather Conditions Still Have an Impact on the COVID-19 Pandemic? An Observation of the Mid-2022 COVID-19 Peak in Taiwan.Microorganisms · 2024Article
- HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003-2020.Scientific data · 2024Article
- Epidemic threshold of a COVID-19 model with gaussian white noise and semi-Markov switching.Journal of the Franklin Institute · 2023Article
- Using mortuary and burial data to place COVID-19 in Lusaka, Zambia within a global context.Nature communications · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- Latitude and longitude as drivers of COVID-19 waves' behavior in Europe: A time-space perspective of the pandemic.PloS one · 2023Article
- Prevalence and associated influential factors of mental health problems among Chinese college students during different stages of COVID-19 pandemic: A systematic review.Psychiatry research communications · 2022Review
- Effects of Meteorological Factors and Air Pollutants on COVID-19 Transmission under the Action of Control Measures.International journal of environmental research and public health · 2022Article
- Environmental risk factors of airborne viral transmission: Humidity, Influenza and SARS-CoV-2 in the Netherlands.Spatial and spatio-temporal epidemiology · 2022Article
- Mask wearing behavior in hot urban spaces of Novi Sad during the COVID-19 pandemic.The Science of the total environment · 2022Article
- Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations.Frontiers in public health · 2022Article
- A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers.PloS one · 2022Article
- An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.Computational intelligence and neuroscience · 2022Article
- The Impact of Lockdown, Patient Classification, and the Large-Scale Case Screening on the Spread of the Coronavirus Disease 2019 (COVID-19) in Hubei.BioMed research international · 2022Article
- Article
- Assessing the impact of air pollution and climate seasonality on COVID-19 multiwaves in Madrid, Spain.Environmental research · 2022Article
- Challenges in the control of COVID-19 outbreaks caused by the delta variant during periods of low humidity: an observational study in Sydney, Australia.Infectious diseases of poverty · 2021Observational
- Weather, air pollution, and SARS-CoV-2 transmission: a global analysis.The Lancet. Planetary health · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe new coronavirus disease COVID-19 began in December 2019 and has spread rapidly by human-to-human transmission. This study evaluated the transmissibility of the infectious disease and analyzed its association with temperature and humidity to study the propagation pattern of COVID-19.
methodsIn this study, we revised the reported data in Wuhan based on several assumptions to estimate the actual number of confirmed cases considering that perhaps not all cases could be detected and reported in the complex situation there. Then we used the equation derived from the Susceptible-Exposed-Infectious-Recovered (SEIR) model to calculate R
resultsIt was estimated that the cumulative number of confirmed cases had exceeded 45 000 by February 13, 2020 in Wuhan. The average R
conclusionsThe transmissibility of COVID-19 was strong and importance should be attached to the intervention of its transmission especially in Wuhan. According to the correlation between R
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