Interactive, semi-automatized and open source computational model applied to respiratory viruses surveillance

Reyes, Felipe; Ferres, Marcela; Vial, Pablo; Vollrath, Valeska; Camponovo, Rossanna; Montecinos, Luisa; Hirsch, Tamara; Valenzuela, Patricia; Perret, Cecilia

Abstract

Acute respiratory infections (ARI) are an important cause of morbidity and mortality worldwide, affecting mainly children and the elderly. They are associated with a high economic burden, increased number of medical visits and hospitalizations. The surveillance of the circulation of respiratory viruses can reduce the health care associated costs, and to optimize the health response. A platform based on R and its package Shiny was designed, to create an interactive and friendly web interface for gathering, analysis and publication of the data. The data from the Chilean metropolitan respiratory viruses surveillance network, available since 2006, was uploaded into the platform. Using this platform, the researcher spends less than 1 minute to upload the data, and the analysis and publication is immediate, available to be seen by any user with a device connected to Internet, who can choose the variables to be displayed. With a very low cost, in a short time, and using the R programming language, it was possible to create a simple, and interactive platform, considerably decreasing the upload and analysis time, and increasing the impact and availability of this surveillance.

Más información

Título según WOS: Interactive, semi-automatized and open source computational model applied to respiratory viruses surveillance
Título de la Revista: Revista Chilena de Infectologia
Volumen: 37
Número: 1
Editorial: Sociedad Chilena de Infectología
Fecha de publicación: 2020
Página de inicio: 69
Página final: 75
Notas: ISI