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COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic.
Tebé, Cristian; Valls, Joan; Satorra, Pau; Tobías, Aurelio.
  • Tebé C; Biostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, 199 08908 L'Hospitalet de Llobregat, Barcelona, Spain. ctebe@idibell.cat.
  • Valls J; Department of Mathematics, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
  • Satorra P; Biostatistics Unit, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Hospitalet de Llobregat, 199 08908 L'Hospitalet de Llobregat, Barcelona, Spain.
  • Tobías A; Institute of Environmental Assessment and Water Research (IDEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.
BMC Med Res Methodol ; 20(1): 235, 2020 09 21.
Article in English | MEDLINE | ID: covidwho-781441
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Computational Biology / Pandemics / Betacoronavirus / Data Visualization Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01121-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Computational Biology / Pandemics / Betacoronavirus / Data Visualization Type of study: Observational study Limits: Humans Country/Region as subject: Europa Language: English Journal: BMC Med Res Methodol Journal subject: Medicine Year: 2020 Document Type: Article Affiliation country: S12874-020-01121-9