ArticleThe Science of the total environment2021
DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain.
Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 52 citations in OpenAlex.
- Climate change and COVID-19: Interdisciplinary perspectives from two global crises.The Science of the total environment · 2022Review
- Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain.The Science of the total environment · 2022Article
- A mini-review: positive impact of COVID-19 on Arial health and ecology.Environmental science and pollution research international · 2022Review
- PandemonCAT: Monitoring the COVID-19 Pandemic in Catalonia, Spain.International journal of environmental research and public health · 2022Article
- Traffic restrictions during COVID-19 lockdown improve air quality and reduce metal biodeposition in tree leaves.Urban forestry & urban greening · 2022Article
- Investigating the current environmental situation in the Middle East and North Africa (MENA) region during the third wave of COVID-19 pandemic: urban vs. rural context.BMC public health · 2022Article
- Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak.SN computer science · 2022Review
- Meteorological Normalisation Using Boosted Regression Trees to Estimate the Impact of COVID-19 Restrictions on Air Quality Levels.International journal of environmental research and public health · 2021Article
- Indoors ventilation in times of confinement by SARS-CoV-2 epidemic: A comparative approach between Spain and Italy.Sustainable cities and society · 2021Article
- Effects of COVID-19 on the environment: An overview on air, water, wastewater, and solid waste.Journal of environmental management · 2021Review
- Trajectory Simulation and Prediction of COVID-19Earth's future · 2021Article
- Occupancy-aided ventilation for both airborne infection risk control and work productivity.Building and environment · 2021Article
- Methodological limitations in studies assessing the effects of environmental and socioeconomic variables on the spread of COVID-19: a systematic review.Environmental sciences Europe · 2021Review
- How changes in human activities during the lockdown impacted air quality parameters: A review.Environmental progress & sustainable energyReview
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecedented global health crisis, with several countries imposing lockdowns to control the coronavirus spread. Important research efforts are focused on evaluating the association of environmental factors with the survival and spread of the virus and different works have been published, with contradictory results in some cases. Data with spatial and temporal information is a key factor to get reliable results and, although there are some data repositories for monitoring the disease both globally and locally, an application that integrates and aggregates data from meteorological and air quality variables with COVID-19 information has not been described so far to the best of our knowledge. Here, we present DatAC (Data Against COVID-19), a data fusion project with an interactive web frontend that integrates COVID-19 and environmental data in Spain. DatAC is provided with powerful data analysis and statistical capabilities that allow users to explore and analyze individual trends and associations among the provided data. Using the application, we have evaluated the impact of the Spanish lockdown on the air quality, observing that NO
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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.