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一种基于物联网辅助无人机的方法,以减少新冠病毒病的快速传播。

An internet of things assisted drone based approach to reduce rapid spread of COVID-19.

作者信息

Angurala Mohit, Bala Manju, Bamber Sukhvinder Singh, Kaur Rajbir, Singh Prabhdeep

机构信息

Computer Science and Engineering, I.K Gujral Punjab Technical University, Jalandhar Road, Kapurthala, India.

Computer Science and Engineering, Khalsa College of Engineering and Technology, Amritsar, India.

出版信息

J Saf Sci Resil. 2020 Sep;1(1):31-35. doi: 10.1016/j.jnlssr.2020.06.011. Epub 2020 Jul 2.

Abstract

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.

摘要

随着大流行病的迅速蔓延,世界各地许多人失去了生命。因此,需要一种新颖的方法或模式来解决这一问题。本文提出了一种名为DBCMS(基于无人机的新冠疫情医疗服务)的机制,以保障易感染新冠病毒的医护人员的安全。该机制能够有效改善新冠患者的治疗过程。如今,无人机在医疗紧急情况领域得到了广泛应用。本文提出的模型利用无人机服务降低医生或其他医护人员的感染风险,从而防止疾病传播。本文进一步假设首要步骤是让人们居家隔离而非住院,即所谓的封锁或宵禁状态。因此,如果在集群层面实施DBCMS方法,全球范围内的传播可得到显著减少。

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