Computerized intelligence and mathematical models for COVID-19 management: A short communication

Gerami, Reza; Jafari, Ramezan; Saburi, Amin; Zeraati, Tina; Ghanei, Mostafa; Sabouri, Elham

doi:10.30491/ijtmgh.2022.365552.1319

Computerized intelligence and mathematical models for COVID-19 management: A short communication

Document Type : Short Communication

Authors

Reza Gerami ¹

Ramezan Jafari ²

amin Saburi ³

Tina zeraati ⁴

Mostafa Ghanei ³

Elham Sabouri ⁵

¹ Department of Radiology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran

² Radiology Department, Faculty of Medicine and Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran 18151777, Iran

³ Chemical Injuries Research Center, Systems Biology & Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

⁴ Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran Renal transplantation Complications Research Center, internal medicine, Mashhhad, Iran

⁵ Student research committee of Mashhad University of Medical Sciences

10.30491/ijtmgh.2022.365552.1319

Abstract

The onset of COVID- 19 pandemic has resulted in the transition from the conventional face to face health care strategies to computerized approaches, considering distances, the importance of quarantine, and early diagnosis and management. As far as the rapid management of the infection is concerned, telemedicine has been introduced as a beneficial approach. The use of telemedicine is thought to decrease the risk of cross contamination. Moreover, it provides the access to the health care for remote locations. The health care staff can use the computational analyses to get rapid access to the accurate epidemiological and laboratory data. The risk assessment provided by the mathematical models seems beneficial for decision-making in regards to the prognosis and management. We aimed to explore the breakthrough of telemedicine regarding the pandemic, also attempting to describe the related problems and challenges.

Keywords

COVID19

early diagnosis

telemedicine

health care