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Automated COVID-19 emergency response using modern technologies
oleh: Ibrahim Haleem Khan, Mohd Javaid
Format: | Article |
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Diterbitkan: | Wolters Kluwer Medknow Publications 2020-01-01 |
Deskripsi
Almost all countries are struggling with a pandemic created by infection of the severe acute respiratory syndrome coronavirus-2 virus. Health professionals are overstretched and are estimating to treat millions of peoples infected by this virus. However, we see the gainful employment of new technologies to provide fewer human interaction benefits to prevent the transmission of this virus. Here, in this paper, the capabilities of new technologies such as unmanned aerial vehicles, data analysis, three-dimensional (3D) printing, machine learning, and artificial intelligence are used to develop a model to the limit of their autonomous functionalities. We have proposed an automated COVID-19 pandemic emergency response system using the above modern technologies. These technologies are used efficiently to supply essential items in the required location and minimize the need for transportation. Advanced digital technologies are used to observe the crowd in different cities. It can identify people who are not wearing masks in public places. Further, 3D printing technology is used to manufacture personal protective equipment for COVID-19, and drones are used to deliver these items in the required places. The integrated deployment of new technologies can help us to fight this virus in a better way. This model can help through intelligent population screening, improved medical help, timely notification, and suggestions about infection control. It uses an innovative platform supported through different software and machine learning techniques. Furthermore, doctors, analysts, governments, and researcher can take its advantage to analyze the level of infection by the virus.