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The Traffic Light Approach

Indicators and Algorithms to Identify Covid-19 Epidemic Risk Across Italian Regions

Bibliographic Data

ID22072826
AuthorsLuca Paroni (0000-0002-8611-9250, Istituti di Ricovero e Cura a Carattere Scientifico), Clelia D’Apice (0000-0003-0499-915X, University of Parma), Clelia D'Apice, Silvia Ussai (0000-0002-8044-7173, European Commission, corresponding author), Benedetta Armocida (0000-0003-3583-2790), Beatrice Formenti (Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia), Lorenzo De Min, Eduardo Missoni (0000-0003-2296-4145, Bocconi University)
Year2021
Volume9
Pages650243-650243
Publication date2021-03-16
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.650243
PMID33796500
OpenAlexW3136729011
LanguageEN

With the beginning of the autumn-winter season, Italy experienced an increase of SARS-CoV-2 cases, requiring the Government to adopt new restrictive measures. The national surveillance system in place defines 21 key process and performance indicators addressing for each Region/Autonomous Province: (i) the monitoring capacity, (ii) the degree of diagnostic capability, investigation and contact tracing, and (iii) the characteristics of the transmission dynamics as well as the resilience of health services. Overall, the traffic light approach shows a collective effort by the Italian Government to define strategies to both contain the spread of COVID-19 and to minimize the economic and social impact of the epidemic. Nonetheless, on what principles color-labeled risk levels are assigned on a regional level, it remains rather unclear or difficult to track

2019-20 coronavirus outbreak · Contact tracing · Geography · Psychological resilience · Regional science · Telecommunications · Computer Science · COVID-19 epidemiological studies · Medicine · Psychology · Virology

Highly citedNo

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