ArticleBMC public health2021
The association between ambient temperature and mortality of the coronavirus disease 2019 (COVID-19) in Wuhan, China: a time-series analysis.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 38 citations in OpenAlex.
- Associations of ambient temperature and relative humidity with hospital admissions in macau, China using time series analysis.Scientific reports · 2025Article
- COVID-19 and its association with meteorological, climate, and environmental factors: A systematic review.Journal of public health research · 2025Review
- Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR.Scientific reports · 2025Article
- Comparing the current short-term cancer incidence prediction models in Brazil with state-of-the-art time-series models.Scientific reports · 2024Review
- Causal effect of air pollution and meteorology on the COVID-19 pandemic: A convergent cross mapping approach.Heliyon · 2024Article
- Association of air pollution and weather conditions during infection course with COVID-19 case fatality rate in the United Kingdom.Scientific reports · 2024Article
- Association Between Air Pollution and Coronary Heart Disease Hospitalizations in Lanzhou City, 2013-2020: a Time Series Analysis.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Article
- Relationship between meteorological factors and mortality in patients with coronavirus disease 2019: A cross-sectional study.Heliyon · 2023Article
- Long-term air pollution exposure and COVID-19 case-severity: An analysis of individual-level data from Switzerland.Environmental research · 2023Article
- What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.Advanced biomedical research · 2023Review
- Effect of short-term exposure to ambient air pollutants on non-accidental mortality in emergency department visits: a time-series study.Frontiers in public health · 2023Article
- Socio-economic analysis of short-term trends of COVID-19: modeling and data analytics.BMC public health · 2022Article
- Role of meteorological factors on SARS-CoV-2 infection incidence in Italy and Spain before the vaccination campaign. A multi-city time series study.Environmental research · 2022Article
- COVID-19 attributed mortality and ambient temperature: a global ecological study using a two-stage regression model.Pathogens and global health · 2022Article
- Ambient temperature and Covid-19 transmission: An evidence from a region of Iran based on weather station and satellite data.Environmental research · 2022Article
- A narrative review on the role of temperature and humidity in COVID-19: Transmission, persistence, and epidemiological evidence.Eco-Environment & Health · 2022Review
- Climatic influences on cardiovascular diseases.World journal of cardiology · 2022Review
- COVID-19 mortality and exposure to airborne PMThe Science of the total environment · 2022Article
- Effect of mortality from COVID-19 on inpatient outcomes.Journal of medical virology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe COVID-19 has caused a sizeable global outbreak and has been declared as a public health emergency of international concern. Sufficient evidence shows that temperature has an essential link with respiratory infectious diseases. The objectives of this study were to describe the exposure-response relationship between ambient temperature, including extreme temperatures, and mortality of COVID-19.
methodsThe Poisson distributed lag non-linear model (DLNM) was constructed to evaluate the non-linear delayed effects of ambient temperature on death, by using the daily new death of COVID-19 and ambient temperature data from January 10 to March 31, 2020, in Wuhan, China.
resultsDuring the period mentioned above, the average daily number of COVID-19 deaths was approximately 45.2. Poisson distributed lag non-linear model showed that there was a non-linear relationship (U-shape) between the effect of ambient temperature and mortality. With confounding factors controlled, the daily cumulative relative death risk decreased by 12.3% (95% CI [3.4, 20.4%]) for every 1.0 °C increase in temperature. Moreover, the delayed effects of the low temperature are acute and short-term, with the most considerable risk occurring in 5-7 days of exposure. The delayed effects of the high temperature appeared quickly, then decrease rapidly, and increased sharply 15 days of exposure, mainly manifested as acute and long-term effects. Sensitivity analysis results demonstrated that the results were robust.
conclusionsThe relationship between ambient temperature and COVID-19 mortality was non-linear. There was a negative correlation between the cumulative relative risk of death and temperature. Additionally, exposure to high and low temperatures had divergent impacts on mortality.
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