文章基本信息

标题：An internet of things assisted drone based approach to reduce rapid spread of COVID-19
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作者：Mohit Angurala ; Manju Bala ; Sukhvinder Singh Bamber 等
期刊名称：Journal of Safety Science and Resilience
印刷版ISSN：2666-4496
出版年度：2020
卷号：1
期号：1
页码：31-35
语种：English
出版社：KeAi Communications Co., Ltd.
摘要：With the quick spread of pandemic disease, many individuals have lost their lives across different parts of the world. So, the need for a novel approach or model to overcome the problem becomes a necessity. In this paper, a mechanism is proposed called DBCMS (Drone Based Covid-19 Medical Service) for the safety of medical employees who are prone to Covid-19 infection. The proposed mechanism can effectively improve the treatment process of Covid-19 patients. Drones are nowadays commonly used in the field of medical emergency situations. The proposed model in this paper uses drone service to reduce the risk of infection to the doctors or other medical staff, thereby preventing the disease spread. This paper further assumes that the primary step is to isolate people at their home instead of admitting them to the hospitals, also called a situation of lockdown or curfew. Thus, in this way, the spread can be significantly reduced across the globe if DBCMS approach is implemented at cluster level.