ArticleThe Science of the total environment2020
COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis.
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 251 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
251 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Impact of temperature and humidity on SARS-CoV-2 transmissibility: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled 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
- A systematic review and meta-analysis on correlation of weather with COVID-19.Scientific reports · 2021Pooled it
- Bidirectional association between COVID-19 and the environment: A systematic review.Environmental research · 2021Pooled it
- Warmer weather unlikely to reduce the COVID-19 transmission: An ecological study in 202 locations in 8 countries.The Science of the total environment · 2021Pooled it
- The urban infection susceptibility index and its application in cities of China.Biosafety and health · 2026Article
- Confounding amplifies the effect of environmental factors on COVID-19.Infectious Disease Modelling · 2024Article
- The Geographical Conditioning of Regional Differentiation Characterising the COVID-19 Pandemic in European Countries.International journal of environmental research and public health · 2024Article
- Forecasting severe respiratory disease hospitalizations using machine learning algorithms.BMC medical informatics and decision making · 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
- Environmental predictors of SARS-CoV-2 infection incidence in Catalonia (northwestern Mediterranean).Frontiers in public health · 2024Article
- Controlling the first wave of the COVID-19 pandemic in Malawi: Results from a multi-round study.PLOS global public health · 2024Article
- Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19.European journal of operational research · 2023Article
- Article
- Response of PMEnvironmental pollution (Barking, Essex : 1987) · 2023Article
- Seasonal correlation of meteorological parameters and PMInternational journal of disaster risk reduction : IJDRR · 2023Article
- Spatial relationship between COVID-19 and previous infectious disease outbreaks: Evidence from South Korea.Heliyon · 2023Article
- The status of COVID-19 vaccines in India: A review.Vacunas · 2023Review
- Fractal dimension based geographical clustering of COVID-19 time series data.Scientific reports · 2023Article
191 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 has become a pandemic. The influence of meteorological factors on the transmission and spread of COVID-19 is of interest. This study sought to examine the associations of daily average temperature (AT) and relative humidity (ARH) with the daily counts of COVID-19 cases in 30 Chinese provinces (in Hubei from December 1, 2019 to February 11, 2020 and in other provinces from January 20, 2020 to Februarys 11, 2020). A Generalized Additive Model (GAM) was fitted to quantify the province-specific associations between meteorological variables and the daily cases of COVID-19 during the study periods. In the model, the 14-day exponential moving averages (EMAs) of AT and ARH, and their interaction were included with time trend and health-seeking behavior adjusted. Their spatial distributions were visualized. AT and ARH showed significantly negative associations with COVID-19 with a significant interaction between them (0.04, 95% confidence interval: 0.004-0.07) in Hubei. Every 1 °C increase in the AT led to a decrease in the daily confirmed cases by 36% to 57% when ARH was in the range from 67% to 85.5%. Every 1% increase in ARH led to a decrease in the daily confirmed cases by 11% to 22% when AT was in the range from 5.04 °C to 8.2 °C. However, these associations were not consistent throughout Mainland China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.