SynthesisEnvironmental research2022
A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission.
Synthesis in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 37 citations in OpenAlex.
- The urban infection susceptibility index and its application in cities of China.Biosafety and health · 2026Article
- Understanding socioeconomic inequalities in COVID-19 vaccination: controlling endogenous selection in Cali, Colombia.International journal of health geographics · 2025Article
- Assessing the risks of short-term exposure to ambient air pollutants on COVID-19 hospitalizations in Tehran, Iran: a time-stratified case-crossover approach.Frontiers in public health · 2025Article
- Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study.Archives of public health = Archives belges de sante publique · 2024Article
- Association of Ambient Temperature and Absolute Humidity with the Effective Reproduction Number of COVID-19 in Japan.Pathogens (Basel, Switzerland) · 2023Article
- Association between meteorological factors and COVID-19 transmission in low- and middle-income countries: A time-stratified case-crossover study.Environmental research · 2023Article
- The influence of meteorological factors on COVID-19 spread in Italy during the first and second wave.Environmental research · 2023Article
- The association of COVID-19 incidence with temperature, humidity, and UV radiation - A global multi-city analysis.The Science of the total environment · 2023Article
- Five waves of the COVID-19 pandemic and green-blue spaces in urban and rural areas in Poland.Environmental research · 2023Article
- Exploring spatiotemporal pattern in the association between short-term exposure to fine particulate matter and COVID-19 incidence in the continental United States: a Leroux-conditional-autoregression-based strategy.Frontiers in public health · 2023Article
- The impact of urban spatial environment on COVID-19: a case study in Beijing.Frontiers in public health · 2023Article
- Assessment of air quality before and during the COVID-19 and its potential health impacts in an arid oasis city: Urumqi, China.Stochastic environmental research and risk assessment : research journal · 2023Article
- Go To Travel campaign and the geographic spread of COVID-19 in Japan.BMC infectious diseases · 2022Article
- Article
- Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach.Environmental health insights · 2022Article
- [Social determinants associated with self-reporting of symptoms and access to COVID-19 testing and diagnosis in the Plurinational State of BoliviaDeterminantes sociais associados ao autorrelato de sintomas, acesso a testagem e diagnóstico de COVID-19 no Estado Plurinacional da Bolívia].Revista panamericana de salud publica = Pan American journal of public health · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meteorological factors have been confirmed to affect the COVID-19 transmission, but current studied conclusions varied greatly. The underlying causes of the variance remain unclear. Here, we proposed two scientific questions: (1) whether meteorological factors have a consistent influence on virus transmission after combining all the data from the studies; (2) whether the impact of meteorological factors on the COVID-19 transmission can be influenced by season, geospatial scale and latitude. We employed a meta-analysis to address these two questions using results from 2813 published articles. Our results showed that, the influence of meteorological factors on the newly-confirmed COVID-19 cases varied greatly among existing studies, and no consistent conclusion can be drawn. After grouping outbreak time into cold and warm seasons, we found daily maximum and daily minimum temperatures have significant positive influences on the newly-confirmed COVID-19 cases in cold season, while significant negative influences in warm season. After dividing the scope of the outbreak into national and urban scales, relative humidity significantly inhibited the COVID-19 transmission at the national scale, but no effect on the urban scale. The negative impact of relative humidity, and the positive impacts of maximum temperatures and wind speed on the newly-confirmed COVID-19 cases increased with latitude. The relationship of maximum and minimum temperatures with the newly-confirmed COVID-19 cases were more susceptible to season, while relative humidity's relationship was more affected by latitude and geospatial scale. Our results suggested that relationship between meteorological factors and the COVID-19 transmission can be affected by season, geospatial scale and latitude. A rise in temperature would promote virus transmission in cold seasons. We suggested that the formulation and implementation of epidemic prevention and control should mainly refer to studies at the urban scale. The control measures should be developed according to local meteorological properties for individual city.
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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.