RESUMEN
BACKGROUND: Contact tracing for containing emerging infectious diseases such as COVID-19 is resource intensive and requires digital transformation to enable timely decision-making. OBJECTIVE: This study demonstrates the design and implementation of digital contact tracing using multimodal health informatics to efficiently collect personal information and contain community outbreaks. The implementation of digital contact tracing was further illustrated by 3 empirical SARS-CoV-2 infection clusters. METHODS: The implementation in Changhua, Taiwan, served as a demonstration of the multisectoral informatics and connectivity between electronic health systems needed for digital contact tracing. The framework incorporates traditional travel, occupation, contact, and cluster approaches and a dynamic contact process enabled by digital technology. A centralized registry system, accessible only to authorized health personnel, ensures privacy and data security. The efficiency of the digital contact tracing system was evaluated through a field study in Changhua. RESULTS: The digital contact tracing system integrates the immigration registry, communicable disease report system, and national health records to provide real-time information about travel, occupation, contact, and clusters for potential contacts and to facilitate a timely assessment of the risk of COVID-19 transmission. The digitalized system allows for informed decision-making regarding quarantine, isolation, and treatment, with a focus on personal privacy. In the first cluster infection, the system monitored 665 contacts and isolated 4 (0.6%) cases; none of the contacts (0/665, 0%) were infected during quarantine. The estimated reproduction number of 0.92 suggests an effective containment strategy for preventing community-acquired outbreak. The system was also used in a cluster investigation involving foreign workers, where none of the 462 contacts (0/462, 0%) tested positive for SARS-CoV-2. CONCLUSIONS: By integrating the multisectoral database, the contact tracing process can be digitalized to provide the information required for risk assessment and decision-making in a timely manner to contain a community-acquired outbreak when facing the outbreak of emerging infectious disease.
Asunto(s)
COVID-19 , Enfermedades Transmisibles Emergentes , Humanos , COVID-19/epidemiología , COVID-19/prevención & control , Trazado de Contacto , SARS-CoV-2 , CuarentenaRESUMEN
BACKGROUND: Estimating the demand for HCV care cascade plays an important role in planning, monitoring, and assessing the performance of introducing a new community-based hepatitis C virus (HCV) elimination program but such an analytic and systematic approach has been barley addressed. METHODS: A new collaborative care program for HCV elimination in the Changhua Community of Taiwan has been offered to a total of 895,353 residents since 2018. To grasp the variation of demand for HCV care cascade across demographic and geographic features in the planning stage, we applied the age-period-cohort spatial model to the antecedent anti-HCV survey enrolling 123,617 participants aged 30 years or older between 2005 and 2018. Based on this precise denominator, we then employed a "before-and-after" study design to routinely evaluate whether the WHO criteria of 90% RNA positive diagnosis and 80% successful treatments could be reached. RESULTS: The overall demand for HCV care cascade was 4.28% (HCV infection) of the underlying population but a declining trend was noted. The early cohort had a higher demand, whereas the demand of the young cohort decreased with each passing year. The demand also differed by township. The demand, allowing for these variations, for antiviral treatment was 22,362, yielding the WHO target of 12,880 for achieving HCV elimination. With 11,844 successful treatments, the effectiveness of elimination has already reached 92% (11,844/12,880) by the end of 2022. CONCLUSIONS: The demand for HCV care cascade allows health care decision-makers to timely and properly assess the performance of a novel community-based collaborative care program in achieving HCV elimination.