<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>We adapt the Covasim agent-based model for predicting new COVID-19 cases by tuning the transmissibility rate with information on the impact of the most common non-pharmaceutical interventions (NPIs) obtained through machine learning models. Such impact has been estimated thanks to the information on applying pools of NPIs worldwide from the Oxford COVID-19 Government Response Tracker.</p>
<p>This approach permits the simulation of a whole country or a smaller region, providing information about asymptomatic, recovery, severe, and critical new cases and enabling governments and authorities to set NPIs plans to cope with the pandemic.</p>
</abstract>

We adapt the Covasim agent-based model for predicting new COVID-19 cases by tuning the transmissibility rate with information on the impact of the most common non-pharmaceutical interventions (NPIs) obtained through machine learning models. Such impact has been estimated thanks to the information on applying pools of NPIs worldwide from the Oxford COVID-19 Government Response Tracker.
This approach permits the simulation of a whole country or a smaller region, providing information about asymptomatic, recovery, severe, and critical new cases and enabling governments and authorities to set NPIs plans to cope with the pandemic.

Adaptation of the COVASIM model to incorporate non-pharmaceutical interventions: Application to the Dominican Republic during the second wave of COVID-19

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

We adapt the Covasim agent-based model for predicting new COVID-19 cases by tuning the transmissibility rate with information on the impact of the most common...

Adaptation of the COVASIM model to incorporate non-pharmaceutical interventions: Application to the Dominican Republic during the second wave of COVID-19

Online veröffentlicht: 30. Juni 2023

Seitenbereich: 2319 - 2332

Eingereicht: 28. März 2023

Akzeptiert: 17. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.1.00413

Schlüsselwörter
COVID-19, agent based modeling, non-pharmaceutical interventions

© 2023 Pedro A. Solares-Hernández et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Adaptation of the COVASIM model to incorporate non-pharmaceutical interventions: Application to the Dominican Republic during the second wave of COVID-19

Online veröffentlicht: 30. Juni 2023

Seitenbereich: 2319 - 2332

Eingereicht: 28. März 2023

Akzeptiert: 17. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.1.00413

SchlüsselwörterCOVID-19, agent based modeling, non-pharmaceutical interventions

© 2023 Pedro A. Solares-Hernández et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
COVID-19, agent based modeling, non-pharmaceutical interventions