en Health Promotion Health Promotion Review Review Article <span style="font-size:14px;"><span style="font-family:Times New Roman;"><span style="line-height:1;"><b><span style="color:black">Background: </span></b><span style="color:black">The COVID-19 infection, with its unknown aspects, has posed numerous challenges to public health systems worldwide, rapidly disseminating across borders. In the context of diagnosis, researchers are endeavoring to enhance diagnosis accuracy through improved decision-making processes. The present study aimed to conduct a comprehensive review of the benefits of using computerized intelligence and mathematical models for diagnosing COVID-19 infections.</span><br> <b><span style="color:black">Methods</span></b><span style="color:black">: We searched for relevant references on the PubMed and Google Scholar databases, with inclusion criteria and search strategies utilized to identify full-text articles in English. A narrative report of our findings was presented based on the synthesis of our data. </span><br> <b><span style="color:black">Result: </span></b><span style="color:black">The advantageous application of computerized intelligence has been approved in various medical domains, including prevention, diagnosis, and risk assessment. </span><br> <b><span style="color:black">Conclusion: </span></b><span style="color:black">Collaborative efforts are anticipated to enhance pandemic control with increased precision and reduced costs.</span></span></span></span> COVID-19, Diagnosis, Computerized Intelligence, Mathematical Models, Pandemic, 55 62 http://jhehp.zums.ac.ir/browse.php?a_code=A-10-577-1&slc_lang=en&sid=1 Elham Sabouri e.sabouri@ymail.com 100319475328460012897 0000000196058562 No Student research committee of Mashhad University of Medical Sciences. Amin Saburi aminsaburi@yahoo.com 100319475328460012898 0000000177438244 No Chemical Injuries Research Center, Systems Biology & Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. Reza Gerami rezagerami64@gmail.com 100319475328460012899 0000000268634718 No Department of Radiology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran. Tina Zeraati tina_ze74@yahoo.com 100319475328460012900 000000016250830X No Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Renal transplantation Complications Research Center, internal medicine, Mashhad, Iran. Ehsan Saburi sabourie@mums.ac.ir 100319475328460012901 0000000216791068 Yes Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Mostafa Ghanei mghaneister@gmail.com 100319475328460012902 0000000193720928 No Chemical Injuries Research Center, Systems Biology & Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.