A review on medical drone for tribal locations

It is essential to deliver medical products to designated locations exactly, securely, and on time during the COVID-19 pandemic. By bypassing roadblocks, cutting delivery times, and enabling contactless delivery, the utilization of drones for leading healthcare delivery can reduce the likelihood of running across COVID-19 patients. However, the needs for the delivery of medical supplies in public health circumstances cannot be met by the present optimization technique for drone delivery. As a result, this research offers a macro - and micro mixed integer computing framework for the multi-trip quadcopter location routing problem, allowing for simultaneous grab and delivery while cutting down on the amount of time needed to bring medical supplies to their destination. Drones, as unmanned aerial vehicles, have enormous promise in healthcare and are being proposed as an efficient new means to deliver urgent medicines and medical gadgets, particularly in remote areas. Although the benefits are evident, user viewpoints are critical, particularly during the development phase. Human-drone interaction research could potentially improve usefulness and usability. This study demonstrates that the suggested optimization method with continuous pickup and delivery channels achieves a lesser duration, is safer, and spends more energy when compared to separate delivery and collection techniques. Finally, sensitivity analysis is carried out by changing a few factors and providing a few examples for managing the delivery of medical goods using drones.