Identifying the Most Important Symptoms Indicative of Diagnosing Suspected Cases of Coronavirus using a Hesitant Fuzzy Sample

Section: Research Paper
Issue
Vol. 23 No. 1 (2026): Volume 23 Issue 1
Published
May 31, 2026
Pages
28-51

Abstract

In this article, the traditional method and the fuzzy sampling method were used to identify the most important symptoms indicative of suspected infection with the Coronavirus using a questionnaire prepared for the purpose of collecting information about the phenomenon studied. The questionnaire was distributed in three hospitals affiliated with the Babylon Health Department to doctors with specific specialties (chest - respiratory - internal medicine), with (20) questionnaires in Marjan Teaching Hospital, (20) questionnaires in Imam Al-Sadiq (peace be upon him) Teaching Hospital, and (15) questionnaires in Al-Hashimiya General Hospital. Thus, the total number of individuals in the research sample was (55) specialist doctors. It was found that the fuzzy sampling method was more accurate than the traditional method in identifying the most important symptoms indicative of suspected infection with the Coronavirus, which were distinguished as main signs of infection, namely fever, shortness of breath, loss of the sense of smell or taste, and muscle pain. As for the symptoms of nasal congestion, runny nose, nausea or vomiting, and diarrhea, they are the least common in diagnosis. The symptoms of dry cough, fatigue, headache, and sore throat are not clearly influential in determining infection.

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Author

Bashar Khalid Ali Al-Hallaq

Department of Statistics, Administration and Economics Facility, Kerbala University, Kerbala, Iraq.

Identifiers

https://doi.org/10.33899/iqjoss.v23i1.61500
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How to Cite

Al-Hallaq , B. K. A. . (2026). Identifying the Most Important Symptoms Indicative of Diagnosing Suspected Cases of Coronavirus using a Hesitant Fuzzy Sample. IRAQI JOURNAL OF STATISTICAL SCIENCES, 23(1), 28–51. https://doi.org/10.33899/iqjoss.v23i1.61500