![]() Experiments are made to show the benefits of the proposed approach compared to the commonly performed face-to-face diagnosis via the drive-through testing sites. ![]() Heuristic algorithms are developed to further improve the computational time of the proposed model. These two steps are repeated until it reaches a solution minimizing the total delivery time for all patients. Then, the drone flight schedule is optimized to minimize the total delivery time. The truck schedule (TS) is optimized first to minimize the total travel distance to cover patients. Due to the complexity of solving the MDRP, the problem is decomposed into 1) truck scheduling to carry the drones and 2) drone scheduling for actual delivery. ![]() This paper proposes a diagnostic testing kit delivery scheduling approach using the Mothership and Drone Routing Problem (MDRP) with one truck and multiple drones. If home testing kits are safely and quickly delivered to a patient, this has the potential to significantly reduce human contact and reduce disease spread before, during, and after diagnosis. ![]() In conjunction, a strong level of social distancing has been established as one of the most basic and reliable ways to mitigate disease spread. Currently, diagnostic testing kits, treatments, and vaccines for the COVID-19 pandemic have been developed and are being distributed to communities worldwide, but the spread of the disease persists. A critical component in the public health response to pandemics is the ability to determine the spread of diseases via diagnostic testing kits. ![]()
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