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

A mixed-methods study

Dados Bibliográficos

ID17759052
AutoresSara Hollis (0000-0002-5883-2905, World Health Organization, autor correspondente), 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)
Ano2023
Volume23
Fascículo1
Páginas1717-1717
Data de publicação2023-09-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBMC Public Health (JOURNAL)
Identificadores do periódicoISSN: 1471-2458 • E-ISSN: 1471-2458
EditoraBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-023-16120-w
PMID37667290
OpenAlexW4386421797
IdiomaEN
Citações recebidas3
Referências 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