Reza Jafarzadeh-Esfehani
1,2 
, Mohsen Mirzaei Fard
3, Farzaneh Habibi Hatam-Ghale
4, Alireza Rezaei Kalat
5, Amir Fathi
4, Mohammad Shariati
2,6, Ariane Sadr-Nabavi
1,2, Rahele Miri
2, Hamid Reza Bidkhori
2* , Mohammad Hassan Aelami
1*1 Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
2 Blood Borne Infections Research Center,Academic Center for Education, Culture, and Research (ACECR)-Khorasan Razavi, Mashhad, Iran
3 Department of Engineering, Faculty of Electrical & Electronics Engineering, Ferdowsi University, Mashhad, Iran
4 Department of Engineering, Faculty of Computer Engineering, Khayyam University, Mashhad, Iran
5 Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran
6 Department of Neurology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
7 Department of Pediatrics and Hand Hygiene and Infection Control Research Center, Imam Reza Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
Abstract
Coronavirus disease 2019 (COVID-19) is now of global concern due to its rapid dissemination across the globe. The rapid spread of this viral infection, along with many of its unknown aspects, has posed new challenges to the health care systems. The main challenging effects of COVID-19 are rapid dissemination through close contact and varying clinical severity among different individuals. Furthermore, the medical staff in endemic areas are becoming exhausted and deal with a considerable level of job burnout, which can negatively affect their medical decision making. Also, due to the variable pulmonary manifestations of COVID-19, some physicians may misdiagnose patients. To overcome these issues, we proposed a web-based software to aid physicians in detecting possible COVID-19 cases through online consultation with different specialists and educate the not-well experienced physicians. Our results demonstrated that this software could improve the diagnostic rate for not-well experienced physicians.