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10.1016/j.scitotenv.2020.141424 http://scihub22266oqcxt.onion/10.1016/j.scitotenv.2020.141424 32853931!7399783!32853931     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Total+Environ 2021 ; 750 (ä): 141424 Nephropedia Template TP {{tp|p=32853931|t=2021. DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain |pdf=|usr=}}{{32853931}} gab.com Text DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain JO: Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32853931 #FOAvip 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(2), CO, PM(2.5), PM(10) and SO(2) levels decreased drastically in the entire territory, while O(3) levels increased. We observed similar trends in urban and rural areas, although the impact has been more important in the former. Moreover, the application allowed us to analyze correlations among climate factors, such as ambient temperature, and the incidence of COVID-19 in Spain. Our results indicate that temperature is not the driving factor and without effective control actions, outbreaks will appear and warm weather will not substantially limit the growth of the pandemic. DatAC is available at https://covid19.genyo.es. Twit Text FOAVip DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain ????Sci Total Environ http://www.kidney.de/pget.php?&tw=1&pmid=32853931 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32853931 #FOAvip English Wikipedia <ref>{{Cite pmid|32853931}}</ref> DatAC: A visual analytics platform to explore climate and air quality indicators associated with the COVID-19 pandemic in Spain #MMPMID32853931 Martorell-Marugan J; Villatoro-Garcia JA; Garcia-Moreno A; Lopez-Dominguez R; Requena F; Merelo JJ; Lacasana M; de Dios Luna J; Diaz-Mochon JJ; Lorente JA; Carmona-Saez P Sci Total Environ 2021[Jan]; 750 (ä): 141424 PMID32853931show ga 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(2), CO, PM(2.5), PM(10) and SO(2) levels decreased drastically in the entire territory, while O(3) levels increased. We observed similar trends in urban and rural areas, although the impact has been more important in the former. Moreover, the application allowed us to analyze correlations among climate factors, such as ambient temperature, and the incidence of COVID-19 in Spain. Our results indicate that temperature is not the driving factor and without effective control actions, outbreaks will appear and warm weather will not substantially limit the growth of the pandemic. DatAC is available at https://covid19.genyo.es. |*Air Pollutants/analysis[MESH] |*Air Pollution/analysis[MESH] |*Coronavirus[MESH] |*Coronavirus Infections[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Humans[MESH] |Particulate Matter/analysis[MESH] |SARS-CoV-2[MESH]DatAC: A visual analytics platform to explore climate and air quality (epmc).pdf DeepDyve Pubget Overpricing