Modelling the first wave of the COVID-19 epidemic in the Czech Republic and the role of government interventions
Majek, O.; Ngo, O.; Jarkovsky, J.; Komenda, M.; Razova, J.; Dusek, L.; Pavlik, T.
Show abstract
In the Czech Republic, the first COVID-19 cases were confirmed on 1 March 2020; early population interventions were adopted in the following weeks. A simple epidemiological model was developed to help decision-makers understand the course of the epidemic and perform short-term predictions. In this paper, we present the use of the model and estimated changes in the reproduction number (decrease from > 2.00 to < 1.00 over March and April) following adopted interventions.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Model Based Estimation of the SARS-CoV-2 Immunization Level in Austria and Consequences for Herd Immunity Effects 96%
- Extended compartmental model for modeling COVID-19 epidemic in Slovenia 96%
- Pareto-based evaluation of national responses to COVID-19 pandemic shows that saving lives and protecting economy are non-trade-off objectives 95%
Similar papers in this journal
- Modeling the effect of vaccination strategies in an Excel spreadsheet: The rate of vaccination, and not only the vaccination coverage, is a determinant for containing COVID-19 in urban areas 95%
- Community structured model for vaccine strategies to control COVID19 spread: a mathematical study 95%
- Characterizing Two Outbreak Waves of COVID-19 in Spain Using Phenomenological Epidemic Modelling 95%
Similar papers in this journal
- The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modeling approach 95%
- Sensitivity of endemic behaviour of Covid-19 under a multi-dose vaccination regime, to various biological parameters and control variables 94%
- Modelling information-dependent social behaviors in response to lockdowns: the case of COVID-19 epidemic in Italy 94%
Similar papers in this journal
- COVID-19 Underreporting and its Impact on Vaccination Strategies 95%
- A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies 94%
- Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant model 94%
Similar papers in this journal
- A mechanistic and data-driven reconstruction of the time-varying reproduction number: Application to the COVID-19 epidemic 94%
- Modelling to explore the potential impact of asymptomatic human infections on transmission and dynamics of African sleeping sickness 94%
- Gaussian Process Emulation for Modeling Dengue Outbreak Dynamics 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.