Document Type : Research Paper


Computer Science Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.


Coronavirus is one of the viruses that have broadly affected humans and the health system in general. The problem is that there is no treatment for the virus yet, and the virus spreads very quickly through coughing or touching. Therefore, patients infected with this virus must be isolated in their homes or designated care places. Therefore, the research aims to find appropriate methods to diagnose people with the virus remotely to avoid "mixing and trying to determine the virus's focus spread by presenting a new framework for e-health to identify Coronavirus patients. Since the web of things (WoT) is helpful in many areas of medical applications, it will be used as a technique to build a complete system for diagnosing those infected with the virus. Such an approach will provide advice for prevention and isolation. It is very important to check that you have the virus or if you only have a fever, to distance yourself from others who have been affected by Covid-19 when you go to the hospital. Therefore, you can check your health status remotely without going to the hospital. It will present a comprehensive WoT system for COVID-19 Virus Detection (CVD), which provides the most important needs of the infected people. Some of these vital needs are finding an easy way to detect infection by virus, contacting specialized doctors to provide consultations, contacting pharmacies to deliver treatment to the home, contacting Laboratories, mapping the spread of the virus over the world, and educating the citizen at home. In addition, it assists in articles related to the virus that will help the researchers and patients reach the newest details about the pandemic. In designing this system, a group of web design languages was used under the principle of the web of things, such as (HTML, HTML5, CSS, CSS3, JavaScript, Bootstrap) in addition to interactive graphic interfaces.

Graphical Abstract


  • A comprehensive WoT system for COVID-19 Virus Detection (CVD) was presented. In addition, the most important needs of the infected people were provided.
  • The use of a collection of programming languages such as (Python, HTML5, CSS3, and JavaScript) was employed in the design of the proposed system under the notion of the web of things. In addition to interactive graphic interfaces.
  • We used algorithms of k-nearest neighbors (KNN) and Support Vector Machine (SVM) to classify and determine whether the patient was infected by the virus.


Main Subjects

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