ArticleJMIR public health and surveillance2021
The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis.
Article in JMIR public health and surveillance, 2021. 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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Who cites it
15 citing papers in PubMed.
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- Differences in airborne stability of SARS-CoV-2 variants of concern is impacted by alkalinity of surrogates of respiratory aerosol.Journal of the Royal Society, Interface · 2023Article
- Graphene oxide decorated multi-frequency surface acoustic wave humidity sensor for hygienic applications.Scientific reports · 2023Article
- Article
- Correlation between UV Index, Temperature and Humidity with Respect to Incidence and Severity of COVID 19 in Spain.International journal of environmental research and public health · 2023Observational
- The association of COVID-19 incidence with temperature, humidity, and UV radiation - A global multi-city analysis.The Science of the total environment · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- 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
- Article
- Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate.International journal of environmental research and public health · 2022Review
- Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.Journal of translational medicine · 2022Article
- The impact of weather condition and social activity on COVID-19 transmission in the United States.Journal of environmental management · 2022Article
- Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning.Stochastic environmental research and risk assessment : research journal · 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
- 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
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13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe influence of meteorological factors on the transmission and spread of COVID-19 is of interest and has not been investigated.
objectiveThis study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities.
methodsPearson correlation and generalized additive modeling (GAM) were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available.
resultsThe Pearson correlation showed that daily new confirmed cases of COVID-19 were more correlated with the average temperature than with relative humidity. Daily new confirmed cases were negatively correlated with the average temperature in Beijing (r=-0.565, P<.001), Shanghai (r=-0.47, P<.001), and Guangzhou (r=-0.53, P<.001). In Japan, however, a positive correlation was observed (r=0.416, P<.001). In most of the cities (Shanghai, Guangzhou, Hong Kong, Seoul, Tokyo, and Kuala Lumpur), GAM analysis showed the number of daily new confirmed cases to be positively associated with both average temperature and relative humidity, especially using lagged 3D modeling where the positive influence of temperature on daily new confirmed cases was discerned in 5 cities (exceptions: Beijing, Wuhan, Korea, and Malaysia). Moreover, the sensitivity analysis showed, by incorporating the city grade and public health measures into the model, that higher temperatures can increase daily new case numbers (beta=0.073, Z=11.594, P<.001) in the lagged 3-day model.
conclusionsThe findings suggest that increased temperature yield increases in daily new cases of COVID-19. Hence, large-scale public health measures and expanded regional research are still required until a vaccine becomes widely available and herd immunity is established.
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