A5031247591- COVID-19 epidemiological studies
- COVID-19 Digital Contact Tracing
- Data-Driven Disease Surveillance
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
University of Oxford
2020-2021
Abstract The newly emergent human virus SARS-CoV-2 is resulting in high fatality rates and incapacitated health systems. Preventing further transmission a priority. We analysed key parameters of epidemic spread to estimate the contribution different routes determine requirements for case isolation contact-tracing needed stop epidemic. conclude that viral too fast be contained by manual contact tracing, but could controlled if this process was faster, more efficient happened at scale. A App...
Abstract SARS-CoV-2 has spread across the world, causing high mortality and unprecedented restrictions on social economic activity. Policymakers are assessing how best to navigate through ongoing epidemic, with models being used predict of infection assess impact public health measures. Here, we present OpenABM-Covid19: an agent-based simulation epidemic including detailed age-stratification realistic networks. By default model is parameterised UK demographics calibrated however, it can...
Abstract Quarantining close contacts of individuals infected with SARS-CoV-2 for 10 to 14 days is a key strategy in reducing transmission. However, quarantine requirements are often unpopular, low adherence, especially when large fraction the population has been vaccinated. Daily contact testing (DCT), which required isolate only if they test positive, an alternative mitigating risk transmission from traced contacts. In this study, we developed integrated model COVID-19 dynamics and compared...