DOI: 10.2478/amns.2023.1.00413 ISSN: 2444-8656

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

Pedro A. Solares-Hernández, Òscar Garibo-i-Orts, J. Alberto Conejero, Fernando A. Manzano
  • Applied Mathematics
  • Engineering (miscellaneous)
  • Modeling and Simulation
  • General Computer Science


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.

More from our Archive