Go.Data as a digital tool for case investigation and contact tracing in the context of Covid-19

A mixed-methods study

Datos Bibliográficos

ID17759052
AutoresSara Hollis (0000-0002-5883-2905, World Health Organization, autor de correspondencia), Jeni Stolow (0000-0001-8926-1861, Tulane University), Melissa Rosenthal (0000-0002-1525-3874, Tulane University), Silvia Edith Morreale (World Health Organization), Lina Moses (0000-0003-4292-647X, Tulane University)
Año2023
Volumen23
Número1
Páginas1717-1717
Fecha de publicación2023-09-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMC Public Health (JOURNAL)
Identificadores de la revistaISSN: 1471-2458 • E-ISSN: 1471-2458
EditorialBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-023-16120-w
PMID37667290
OpenAlexW4386421797
IdiomaEN
Citas recibidas3
Referencias citadas24

This study was the first to provide a comprehensive picture of Go.Data implementations during COVID-19 and what joint lessons could be learned. It ultimately demonstrated that Go.Data was a useful complement to responses across diverse contexts, and helped set a reproducible foundation for future outbreaks. Concerted preparedness efforts across the domains of workforce composition, data architecture and political sensitization should be prioritized as key ingredients for future Go.Data implementations. While major developments in Go.Data functionality have addressed some key gaps highlighted during the pandemic, continued dialogue between WHO and implementors, including cross-country experience sharing, is needed ensure the tool is reactive to evolving user needs

Contact tracing · Data collection · Data science · Documentation · Geography · Knowledge management · Process management · Qualitative property · Qualitative research · Standardization · Survey data collection · Thematic analysis · Computer Science · COVID-19 Digital Contact Tracing · COVID-19 epidemiological studies · Engineering · Medicine · Viral Infections and Outbreaks Research