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10.1016/j.gaceta.2020.04.002 http://scihub22266oqcxt.onion/10.1016/j.gaceta.2020.04.002 32417117!7184003!32417117     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gac+Sanit 2021 ; 35 (1): 99-101 Nephropedia Template TP {{tp|p=32417117|t=2021. COVID19-Tracker: una aplicacion Shiny para analizar datos de la epidemia de SARS-CoV-2 en Espana |pdf=|usr=}}{{32417117}} gab.com Text COVID19-Tracker: una aplicacion Shiny para analizar datos de la epidemia de SARS-CoV-2 en Espana JO: Gac Sanit http://www.kidney.de/pget.php?&tw=1&pmid=32417117 #FOAvip Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24(th), 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain. Twit Text FOAVip COVID19-Tracker: una aplicacion Shiny para analizar datos de la epidemia de SARS-CoV-2 en Espana ????Gac Sanit http://www.kidney.de/pget.php?&tw=1&pmid=32417117 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32417117 #FOAvip English Wikipedia <ref>{{Cite pmid|32417117}}</ref> COVID19-Tracker: una aplicacion Shiny para analizar datos de la epidemia de SARS-CoV-2 en Espana #MMPMID32417117 Valls J; Tobias A; Satorra P; Tebe C Gac Sanit 2021[Jan]; 35 (1): 99-101 PMID32417117show ga Data visualization is an important tool for exploring and communicating findings in medical research, and specially in epidemiological surveillance. The COVID19-Tracker web application systematically produces daily updated data visualization and analysis of SARS-CoV-2 epidemic in Spain. It collects automatically daily data on COVID-19 diagnosed cases and mortality, from February 24(th), 2020 onwards. Three applications have already been developed: 1) to analyze data trends and estimating short-term projections; 2) to estimate the case fatality rate; and 3) to assess the effect of the lockdowns on the data trends. The application may help for a better understanding of the SARS-CoV-2 epidemic data in Spain. |*Data Analysis[MESH] |*Epidemics[MESH] |*Mobile Applications[MESH] |COVID-19/*epidemiology[MESH] |Humans[MESH]COVID19-Tracker: una aplicacion Shiny para analizar datos de la epidem(epmc).pdf DeepDyve Pubget Overpricing