ArticlePloS one2021
Meteorological factors against COVID-19 and the role of human mobility.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed, 37 citations in OpenAlex.
- A narrative review of heterogeneity in SARS-CoV-2 infection outcomes and vaccine efficacy: strategizing pandemic preparedness in Africa.Frontiers in public health · 2026Review
- Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
- Does behavior mediate the effect of weather on SARS-CoV-2 transmission? Evidence from cell-phone data.medRxiv : the preprint server for health sciences · 2024Article
- Does behavior mediate the effect of weather on SARS-CoV-2 transmission? evidence from cell-phone data.PloS one · 2024Article
- Climate and COVID-19 transmission: a cross-sectional study in Africa.Scientific reports · 2023Article
- The influence of meteorological factors on COVID-19 spread in Italy during the first and second wave.Environmental research · 2023Article
- Face mask is an efficient tool to fight the Covid-19 pandemic and some factors increase the probability of its adoption.Scientific reports · 2023Article
- Article
- The non-linear and interactive effects of meteorological factors on the transmission of COVID-19: A panel smooth transition regression model for cities across the globe.International journal of disaster risk reduction : IJDRR · 2023Article
- Prediction of global omicron pandemic using ARIMA, MLR, and Prophet models.Scientific reports · 2022Article
- Prerequisite for COVID-19 Prediction: A Review on Factors Affecting the Infection Rate.International journal of environmental research and public health · 2022Review
- Modelling COVID-19 infection with seasonality in Zimbabwe.Physics and chemistry of the earth (2002) · 2022Article
- COVID-19 Vaccination and Public Health Countermeasures on Variants of Concern in Canada: Evidence From a Spatial Hierarchical Cluster Analysis.JMIR public health and surveillance · 2022Article
- Environmental Factors Influencing COVID-19 Incidence and Severity.Annual review of public health · 2022Review
- Do solar cycles explain the emergence of COVID-19? Neutron count comparison between the solar minima of 2008-2009 and 2019-2020.Current opinion in environmental science & health · 2022Review
- The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities.Stochastic environmental research and risk assessment : research journal · 2022Article
- Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city.PloS one · 2022Article
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the vein of recent empirical literature, we reassessed the impact of weather factors on Covid-19 daily cases and fatalities in a panel of 37 OECD countries between 1st January and 27th July 2020. We considered five different meteorological factors. For the first time, we used a dynamic panel model and considered two different kinds of channels between climate and Covid-19 virus: direct/physical factors related to the survival and durability dynamics of the virus on surfaces and outdoors and indirect/social factors through human behaviour and individual mobility, such as walking or driving outdoors, to capture the impact of weather on social distancing and, thus, on Covid-19 cases and fatalities. Our work revealed that temperature, humidity and solar radiation, which has been clearly under considered in previous studies, significantly reduce the number of Covid-19 cases and fatalities. Indirect effects through human behaviour, i.e., correlations between temperature (or solar radiation) and human mobility, were significantly positive and should be considered to correctly assess the effects of climatic factors. Increasing temperature, humidity or solar radiation effects were positively correlated with increasing mobility effects on Covid-19 cases and fatalities. The net effect from weather on the Covid-19 outbreak will, thus, be the result of the physical/direct negative effect of temperature or solar radiation and the mobility/indirect positive effect due to the interaction between human mobility and those meterological variables. Reducing direct effects of temperature and solar radiation on Covid-19 cases and fatalities, when they were significant, were partly and slightly compensated for positive indirect effects through human mobility. Suitable control policies should be implemented to control mobility and social distancing even when the weather is favourable to reduce the spread of the Covid-19 virus.
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.