An AI-empowered indoor digital contact tracing system for COVID-19 outbreaks in residential care homes.
Ontology highlight
ABSTRACT: An AI-empowered indoor digital contact-tracing system was developed using a centralized architecture and advanced low-energy Bluetooth technologies for indoor positioning, with careful preservation of privacy and data security. We analyzed the contact pattern data from two RCHs and investigated a COVID-19 outbreak in one study site. To evaluate the effectiveness of the system in containing outbreaks with minimal contacts under quarantine, a simulation study was conducted to compare the impact of different quarantine strategies on outbreak containment within RCHs. The significant difference in contact hours between weekdays and weekends was observed for some pairs of RCH residents and staff during the two-week data collection period. No significant difference between secondary cases and uni
SUBMITTER: Meng J
PROVIDER: S-EPMC10885586 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA