On the public citation graph

Relationship between Air Pollutants, Meteorological Variables and Cases of Covid-19 in European Cities

https://doi.org/10.2139/ssrn.4640400
0 signed · 36 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamainternmed.2020.1562openalex-extracted
The Mental Health Consequences of COVID-19 and Physical Distancing
inferredcites →https://doi.org/10.1007/978-1-4615-5841-5_53openalex-extracted
Air Pollution in Coastal Cities
inferredcites →https://doi.org/10.1007/978-3-642-03313-1_11openalex-extracted
Ultraviolet Radiation and Its Interaction with Air Pollution
inferredcites →https://doi.org/10.1007/s11356-021-14159-zopenalex-extracted
Associations of acute exposure to airborne pollutants with COVID-19 infection: evidence from China
inferredcites →https://doi.org/10.1007/s40710-021-00502-6openalex-extracted
Air Pollutants in an Intermediate City: Variability and Interactions with Weather and Anthropogenic Elements in Bahía Blanca, Argentina
inferredcites →https://doi.org/10.1016/j.aller.2020.05.004openalex-extracted
COVID-19 and air pollution: A dangerous association?
inferredcites →https://doi.org/10.1016/j.apr.2020.06.031openalex-extracted
Investigation of local correlations between particulate matter ( P M 10 ) and air temperature in the Caribbean basin using Ensemble Empirical Mode Decomposition
inferredcites →https://doi.org/10.1016/j.atmosenv.2010.08.034openalex-extracted
Monitoring of sources and atmospheric processes controlling air quality in an urban Mediterranean environment
inferredcites →https://doi.org/10.1016/j.atmosenv.2014.12.004openalex-extracted
The application of semicircular-buffer-based land use regression models incorporating wind direction in predicting quarterly NO 2 and PM 10 concentrations
inferredcites →https://doi.org/10.1016/j.atmosenv.2017.06.050openalex-extracted
Correlation between air pollution and weather data in urban areas: Assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2018.12.005openalex-extracted
A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies
inferredcites →https://doi.org/10.1016/j.envint.2020.106326openalex-extracted
Tracing surface and airborne SARS-CoV-2 RNA inside public buses and subway trains
inferredcites →https://doi.org/10.1016/j.envpol.2020.114465openalex-extracted
Can atmospheric pollution be considered a co-factor in extremely high level of SARS-CoV-2 lethality in Northern Italy?
inferredcites →https://doi.org/10.1016/j.envpol.2020.115691openalex-extracted
Improved air quality and associated mortalities in India under COVID-19 lockdown
inferredcites →https://doi.org/10.1016/j.envpol.2020.115714openalex-extracted
Assessing correlations between short-term exposure to atmospheric pollutants and COVID-19 spread in all Italian territorial areas
inferredcites →https://doi.org/10.1016/j.envpol.2020.115859openalex-extracted
Links between air pollution and COVID-19 in England
inferredcites →https://doi.org/10.1016/j.jpolmod.2021.02.002openalex-extracted
The U.S. and the world economy after Covid-19
inferredcites →https://doi.org/10.1016/j.psychres.2021.113819openalex-extracted
Effects of the COVID-19 lockdown on mental health, wellbeing, sleep, and alcohol use in a UK student sample
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138811openalex-extracted
A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.139052openalex-extracted
Does lockdown reduce air pollution? Evidence from 44 cities in northern China
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.141325openalex-extracted
Impacts of the COVID-19 responses on traffic-related air pollution in a Northwestern US city
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.146380openalex-extracted
Lessons from the COVID-19 air pollution decrease in Spain: Now what?
inferredcites →https://doi.org/10.1016/j.techsoc.2021.101762openalex-extracted
Effects of excessive use of mobile phone technology in India on human health during COVID-19 lockdown
inferredcites →https://doi.org/10.1016/s0048-9697(03)00368-1openalex-extracted
Source apportionment of PM10 and PM2.5 in Milan (Italy) using receptor modelling
inferredcites →https://doi.org/10.1023/a:1009662704779openalex-extracted
Hierarchical Bayesian space-time models
inferredcites →https://doi.org/10.1038/srep05887openalex-extracted
Evolution of NO2 levels in Spain from 1996 to 2012
inferredcites →https://doi.org/10.1080/00949655.2013.788653openalex-extracted
INLA or MCMC? A tutorial and comparative evaluation for spatial prediction in log-Gaussian Cox processes
inferredcites →https://doi.org/10.1101/2020.04.05.20054502openalex-extracted
inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00700.xopenalex-extracted
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
inferredcites →https://doi.org/10.1186/1476-069x-2-15openalex-extracted
Air pollution and case fatality of SARS in the People's Republic of China: an ecologic study
inferredcites →https://doi.org/10.1186/2049-3258-73-s1-o2openalex-extracted
Comparing MCMC and INLA for disease mapping with Bayesian hierarchical models
inferredcites →https://doi.org/10.3389/fpubh.2021.662499openalex-extracted
The Association Between COVID-19, Air Pollution, and Climate Change
inferredcites →https://doi.org/10.3390/atmos11040377openalex-extracted
Does Air Pollution Influence COVID-19 Outbreaks?
inferredcites →https://doi.org/10.3390/ijerph17239055openalex-extracted
Association between the New COVID-19 Cases and Air Pollution with Meteorological Elements in Nine Counties of New York State
inferredcites →https://doi.org/10.46718/jbgsr.2021.08.000199openalex-extracted
Role of Temperature and Humidity in the Modulation of the Doubling Time of Covid-19 Cases
inferredcites →https://doi.org/10.1126/sciadv.abd4049openalex-snapshot
Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.