Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 30, 2023


Pages

2319-2332


DOI

Article

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

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Authors

Pedro A. Solares-Hernández Affiliation:
Universidad APEC. Santo Domingo, Dominican Republic.
, Òscar Garibo-i-Orts Affiliation:
Instituto Universitario de Matemática Pura y Aplicada. Universitat Politècnica de València, Spain.
, J. Alberto Conejero Affiliation:
Instituto Universitario de Matemática Pura y Aplicada. Universitat Politècnica de València, Spain.
and Fernando A. Manzano Affiliation:
Universidad APEC. Santo Domingo, Dominican Republic.


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.


Keywords

COVID-19, agent based modeling, non-pharmaceutical interventions, Primary: 92D30, Secondary: 00A72, 37M05


Citation

Solares-Hernández, P. A., Garibo-i-Orts, Ò., Alberto Conejero, J., & Manzano, F. A. (2023). 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, 8(1), 2319–2332. https://doi.org/10.2478/amns.2023.1.00413

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