[Germina: tool for automatic detection of clusters of COVID-19 cases]

Gac Sanit. 2023 Sep 9:37:102321. doi: 10.1016/j.gaceta.2023.102321. eCollection 2023.
[Article in Spanish]

Abstract

The COVID-19 pandemic showed that epidemiological surveillance was under-resourced to respond to increases in cases and outbreaks. The high community transmissibility among the school population in the city of Barcelona at the beginning of the sixth wave strained the local COVID-19 surveillance unit. Using SCRUM methodology, Germina was developed and implemented as a software tool capable of capturing, harmonizing, integrating, storing, analysing and visualizing data from multiple information sources on a daily basis. Germina identifies clusters of three or more school cases and calculates epidemiological indicators. The implementation of Germina facilitated the epidemiological response to the sixth wave of COVID-19 in the school setting in the city of Barcelona. This tool is transferable to other exposure settings and communicable diseases. The use of automated informatics tools such, as Germina, improves epidemiological surveillance systems and supports evidence-based decision making.

Keywords: Brotes de enfermedades; COVID-19; Data management; Disease outbreaks; Epidemiological methods; Informática en salud pública; Manejo de datos; Métodos epidemiológicos; Public health informatics.

Publication types

  • English Abstract

MeSH terms

  • COVID-19* / epidemiology
  • Disease Outbreaks
  • Health Resources
  • Humans
  • Information Sources
  • Pandemics