A5069800090- COVID-19 epidemiological studies
- COVID-19 Pandemic Impacts
- Data-Driven Disease Surveillance
- Misinformation and Its Impacts
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Viral Infections and Outbreaks Research
- Artificial Intelligence in Healthcare
Complexity Science Hub Vienna
2020
In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during crisis is crucial understand progression epidemic. Following content analysis strategy existing public information sources, we developed specific hierarchical coding scheme for NPIs. We generated comprehensive structured dataset their respective timelines implementation. To improve transparency motivate...
Abstract In response to the COVID-19 pandemic, governments have implemented a wide range of nonpharmaceutical interventions (NPIs). Monitoring and documenting government strategies during crisis is crucial understand progression epidemic. Following content analysis strategy existing public information sources, we developed specific hierarchical coding scheme for NPIs. We generated comprehensive structured dataset their respective timelines implementation. To improve transparency motivate...
Summary The goal of this analysis is to estimate the effects diverse government intervention measures implemented mitigate spread Covid-19 epidemic. We use a process model based on compartmental epidemiological framework Susceptible-Infected-Recovered-Dead (SIRD). Analysis case data with such mechanism-based has advantages over purely phenomenological approaches because parameters SIRD can be calibrated using prior knowledge. This approach used investigate how governmental interventions have...