ArticleJournal of safety science and resilience = An quan ke xue yu ren xing (Ying wen)2020
An internet of things assisted drone based approach to reduce rapid spread of COVID-19.
Article in Journal of safety science and resilience = An quan ke xue yu ren xing (Ying wen), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- COVICT: an IoT based architecture for COVID-19 detection and contact tracing.Journal of ambient intelligence and humanized computing · 2023Article
- Healthcare Assistance to COVID-19 Patient using Internet of Things (IoT) Enabled Technologies.Materials today. Proceedings · 2023Article
- Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.Micromachines · 2022Review
- Using postal change-of-address data to predict second waves in infections near pandemic epicentres.Epidemiology and infection · 2022Article
- Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance.Frontiers in public health · 2022Article
- Role of additive manufacturing in medical application COVID-19 scenario: India case study.Journal of manufacturing systems · 2021Article
- Expeditious COVID-19 similarity measure tool based on consolidated SCA algorithm with mutation and opposition operators.Applied soft computing · 2021Article
- Can technological advancements help to alleviate COVID-19 pandemic? a review.Journal of biomedical informatics · 2021Review
- Overview of current state of research on the application of artificial intelligence techniques for COVID-19.PeerJ. Computer science · 2021Article
- A Novel Ensemble-based Classifier for Detecting the COVID-19 Disease for Infected Patients.Information systems frontiers : a journal of research and innovation · 2021Article
- Drone Assisted Robust Emergency Service Management for Elderly Chronic Disease.Journal of healthcare engineering · 2021Article
- An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19.Global transitions · 2020Article
- Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic.Journal of oral biology and craniofacial researchArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.