Abstract
The current infectious disease outbreak, a novel acute respiratory syndrome [SARS]-CoV-2, is one of the greatest public health concerns that the humanity has been struggling since the end of 2019. Although, dedicating the majority of hospital-based resources is an effective method to deal with the upsurge in the number of infected individuals, its drastic impact on routine healthcare services cannot be underestimated. In this study, the proposed multi-objective, multi-period linear programming model optimizes the distribution decision of infected patients and the evacuation rate of non-infected patients simultaneously. Moreover, the presented model determines the number of new COVID-19 intensive care units, which are established by using existing hospital-based resources. Three objectives are considered: (1) minimization of total distance travelled by infected patients, (2) minimization of the maximum evacuation rate of non-infected patients and (3) minimization of the infectious risk of healthcare professionals. A case study is performed for the European side of Istanbul, Turkey. The effect of the uncertain length of the stay of infected patients is demonstrated via sensitivity analyses.
【저자키워드】 COVID-19, Uncertainty, patient allocation, Multi-objective, Resource optimization, Epidemic logistics, 【초록키워드】 public health, healthcare professionals, Turkey, intensive care units, Patient, infectious disease outbreak, distribution, resource, acute respiratory syndrome, infected patients, Sensitivity analyses, İstanbul, infectious risk, resources, European, programming, effective, non-infected, performed, linear, majority, determine, demonstrated, infected patient, individuals, number of infected, drastic, healthcare service, 【제목키워드】 hospital, ICU, COVID-19 outbreak, Evidence, Government, non-ICU, İstanbul, linear,