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handle: 10261/214263
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.
SARS-CoV-2, Data visualization, Nota Metodológica, Public Health, Environmental and Occupational Health, Regresión de Poisson, Visualización de datos, Web browser, Poisson regression, Public aspects of medicine, RA1-1270, Interficie web
SARS-CoV-2, Data visualization, Nota Metodológica, Public Health, Environmental and Occupational Health, Regresión de Poisson, Visualización de datos, Web browser, Poisson regression, Public aspects of medicine, RA1-1270, Interficie web
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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| downloads | 53 |

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