A5101849376- COVID-19 epidemiological studies
- COVID-19 Digital Contact Tracing
- Data-Driven Disease Surveillance
- demographic modeling and climate adaptation
- Viral Infections and Outbreaks Research
- Social Media in Health Education
- Misinformation and Its Impacts
Gates Foundation
2020-2022
Institute for Disease Modeling
2020-2022
Microsoft (United States)
2022
Seattle University
2022
Nottingham University Hospitals NHS Trust
2021
The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), open-source model developed to help address these questions. includes country-specific demographic information on age structure population size; realistic transmission networks in different social layers, including households, schools, workplaces, long-term care...
Abstract The COVID-19 pandemic has created an urgent need for models that can project epidemic trends, explore intervention scenarios, and estimate resource needs. Here we describe the methodology of Covasim (COVID-19 Agent-based Simulator), open-source model developed to help address these questions. includes country-specific demographic information on age structure population size; realistic transmission networks in different social layers, including households, schools, workplaces,...
Abstract Initial COVID-19 containment in the United States focused on limiting mobility, including school and workplace closures. However, these interventions have had enormous societal economic costs. Here, we demonstrate feasibility of an alternative control strategy, test-trace-quarantine: routine testing primarily symptomatic individuals, tracing their known contacts, placing contacts quarantine. We perform this analysis using Covasim, open-source agent-based model, which has been...
Abstract Initial COVID-19 containment in the United States focused on limiting mobility, including school and workplace closures. However, these interventions have had enormous societal economic costs. Here we demonstrate feasibility of an alternative control strategy, test-trace-quarantine: routine testing primarily symptomatic individuals, tracing their known contacts, placing contacts quarantine. We performed this analysis using Covasim, open-source agent-based model, which was calibrated...
Abstract Initial COVID-19 containment in the United States focused on limiting mobility, including school and workplace closures. However, these interventions have had enormous societal economic costs. Here we demonstrate feasibility of an alternative control strategy, test-trace-quarantine: routine testing primarily symptomatic individuals, tracing their known contacts, placing contacts quarantine. We performed this analysis using Covasim, open-source agent-based model, which was calibrated...
When it became clear in early 2020 that COVID-19 was going to be a major public health threat, politicians and officials turned academic disease modelers like us for urgent guidance. Academic software development is typically slow haphazard process, we realized business-as-usual would not suffice dealing with this crisis. Here describe the case study of how built Covasim (covasim.org), an agent-based model epidemiology interventions, by using standard Python libraries NumPy Numba, along less...
<h3>Introduction</h3> The Covid-19 pandemic has led to major disruption junior doctor training. Workload pressures and social distancing requirements have stalled rotations, changed working patterns cancelled teaching. use of digital technology such as mobile learning, video conferencing media thus been accelerated. Digital offers a flexible, interactive means learning facilitates interaction with peers tutors allowing sharing resources. Our aim was find an innovative way enhancing for...