Optimization of Mechanical Ventilator Distribution in Response to Pandemics Similar to COVID-19

Abstract

The COVID-19 pandemic has demonstrated the need for greater efficiency in ventilator distribution during pandemic responses. A mixed-integer model of ventilator distribution is constructed and optimized under demand conditions generated using an SEIAR epidemic model. The distribution methods of central agency allocation and interregional exchange are compared, and the relative efficacy of using either or both are compared. It is observed that interregional exchange of ventilators appears to eliminate shortages regardless of whether central agency allocation also takes place.