User:Luigidibiasi/SM-COVID-19

SM-COVID-19 is a proprietary general-purpose digital contact tracing application that utilises a centralized approach for COVID-19 contact tracing. This application is based on the ReCoVer protocol and was developed primarily for scientific research.

It initially launched in the Campania region of Italy, following a collaboration between SoftMining and the Regione Campania in March 2020.

The initial phase of experimentation commenced on March 20, 2020, during the peak of the COVID-19 pandemic. Subsequently, on April 21, 2020, the project was expanded to encompass the entire Italian nation, making SM-COVID-19 the first officially sanctioned and available COVID-19 contact tracing app in Italy.

The calculation of the risk factor developed through SM-COVID-19 was incorporated into the work of a governmental task force (Report sottogruppo di lavoro 6 - Page 11), which played a pivotal role in defining the requirements for contact tracing (CT) applications. This inclusion underscored the app's contribution to shaping national strategies and guidelines for digital contact tracing efforts.

The app does not makes use of the Apple/Google Exposure Notification system that was released by Google and Apple only in May 2020. Due to the unavailability of the GAEN API at the application's launch, SM-COVID-19 incorporates a distance calculation correction mechanism that employs a sliding window approach alongside Received Signal Strength Indicator (RSSI) values to enhance accuracy.

The effectiveness and outcomes of SM-COVID-19's deployment have been documented in a publication on the Journal of Medical Internet Research (JMIR) entitled "Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational Study". This study presented the first evidence of a correlation between the number of contacts traced and the number of new SARS-CoV-2 positive cases, offering valuable insights into digital contact tracing's potential benefits.

Additionally, data collected from over 20,000 volunteers have been made accessible to the scientific community, enhancing the available resources for ongoing and future research in digital contact tracing and epidemic management. Despite these contributions and the application's proven utility, broader acceptance was impeded due to privacy concerns regarding personal data handling.