ArticleThe Science of the total environment2020
Association between ambient temperature and COVID-19 infection in 122 cities from China.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 398 papers, 5 of them syntheses that pooled it.
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Who cites it
398 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Dual seasonal pattern for hemorrhagic fever with renal syndrome and its potential determinants in China.The Science of the total environment · 2023Pooled it
- A review of strategies and their effectiveness in reducing indoor airborne transmission and improving indoor air quality.Environmental research · 2022Pooled 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
- A Review of Influencing Factors on Spatial Spread of COVID-19 Based on Geographical Perspective.International journal of environmental research and public health · 2021Pooled it
- Meteorological conditions are heterogeneous factors for COVID-19 risk in China.Environmental research · 2021Pooled it
- Enhancing COVID-19 Forecasting Accuracy in Malaysia Using a Hybrid ARIMA-LSTM Model With Exogenous Variables: A Time-Series Predictive Study.Health science reports · 2026Article
- The urban infection susceptibility index and its application in cities of China.Biosafety and health · 2026Article
- Integrated monitoring of enveloped viruses in hospital environments: Detection, persistence, and implications for infection control.PloS one · 2026Article
- The impact of El Niño-Southern Oscillation on the incidence of infectious diarrhea in China: insights from a 15-year national surveillance analysis.Frontiers in public health · 2026Article
- The impact of temperature and relative humidity on SARS-CoV-2 airborne transmission in Syrian hamsters.Microbiology spectrum · 2025Article
- Clustering-based methodology for comparing multi-characteristic epidemiological dynamics with application to COVID-19 epidemiology in Europe.Royal Society open science · 2025Article
- Short- and long-term exposure to ambient air pollution and greenness in relation to pulmonary tuberculosis incidence.Scientific reports · 2025Article
- Investigation of influential environmental and climatic determinants on COVID-19 spread in India to formulate a sustainable pandemic response.One health (Amsterdam, Netherlands) · 2025Article
- Evaluation of the effects of short-term PMBMC cardiovascular disorders · 2025Article
- Analyses of haplotypes ofFrontiers in genetics · 2025Article
- Comparing lagged impacts of mobility changes and environmental factors on COVID-19 waves in rural and urban India: A Bayesian spatiotemporal modelling study.PLOS global public health · 2025Article
- Association between ambient particulate matter and latent tuberculosis infection among 198 275 students.Journal of global health · 2024Article
- Ambient air pollution contributed to pulmonary tuberculosis in China.Emerging microbes & infections · 2024Article
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- Article
338 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on byCan PM2020
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19) has become a severe public health problem globally. Both epidemiological and laboratory studies have shown that ambient temperature could affect the transmission and survival of coronaviruses. This study aimed to determine whether the temperature is an essential factor in the infection caused by this novel coronavirus.
methodsDaily confirmed cases and meteorological factors in 122 cities were collected between January 23, 2020, to February 29, 2020. A generalized additive model (GAM) was applied to explore the nonlinear relationship between mean temperature and COVID-19 confirmed cases. We also used a piecewise linear regression to determine the relationship in detail.
resultsThe exposure-response curves suggested that the relationship between mean temperature and COVID-19 confirmed cases was approximately linear in the range of <3 °C and became flat above 3 °C. When mean temperature (lag0-14) was below 3 °C, each 1 °C rise was associated with a 4.861% (95% CI: 3.209-6.513) increase in the daily number of COVID-19 confirmed cases. These findings were robust in our sensitivity analyses.
conclusionsOur results indicate that mean temperature has a positive linear relationship with the number of COVID-19 cases with a threshold of 3 °C. There is no evidence supporting that case counts of COVID-19 could decline when the weather becomes warmer, which provides useful implications for policymakers and the public.
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