Article ; Online: COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic.
BMC medical research methodology
2020 Volume 20, Issue 1, Page(s) 235
Abstract: ... systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic ... visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country ... worldwide. The application may help for a better understanding of the SARS-CoV-2 epidemic worldwide. ...
| Abstract | Background: Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. Results: Data on COVID-19 diagnosed cases and mortality, from January 1st, 2020, onwards is collected automatically from the European Centre for Disease Prevention and Control (ECDC). We have developed a Shiny application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country-specific tool for basic epidemiological surveillance, in an interactive and user-friendly manner. The available analyses cover time trends and projections, attack rate, population fatality rate, case fatality rate, and basic reproduction number. Conclusions: The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application may help for a better understanding of the SARS-CoV-2 epidemic worldwide. |
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| MeSH term(s) | Algorithms ; Betacoronavirus/isolation & purification ; Betacoronavirus/physiology ; COVID-19 ; Computational Biology/methods ; Computational Biology/statistics & numerical data ; Coronavirus Infections/epidemiology ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Data Visualization ; Europe/epidemiology ; Global Health/statistics & numerical data ; Humans ; Incidence ; Internet ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; Population Surveillance/methods ; SARS-CoV-2 |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-09-21 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ISSN | 1471-2288 |
| ISSN (online) | 1471-2288 |
| DOI | 10.1186/s12874-020-01121-9 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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