Volume 11, Issue 2 (Spring 2022)                   J Occup Health Epidemiol 2022, 11(2): 99-105 | Back to browse issues page

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Zakeri M A, Ahmadinia H, Hossini Rafsanjanipoor S M. Clinical and Epidemiological Features of COVID-19 Patients in Rafsanjan County, Iran: A Secondary Data based Study. J Occup Health Epidemiol 2022; 11 (2) :99-105
URL: http://johe.rums.ac.ir/article-1-466-en.html

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1- M.Sc in Nursing, Social Determinants of Health Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
2- Assistant Prof., Dept. of Epidemiology and Biostatistics, Occupational Environmental Research Center, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
3- M.Sc in Epidemiology, Social Determinants of Health Research Center , Rafsanjan University of Medical Sciences, Rafsanjan, Iran. , mhosseini622@gmail.com
Article history
Received: 2021/09/1
Accepted: 2022/01/9
ePublished: 2022/06/22
Subject: Epidemiology
Abstract:   (1218 Views)
Background: Information about COVID-19 patients must be studied meticulously to control the COVID-19 pandemic more effectively. This study aimed to evaluate the clinical and epidemiological features of COVID-19 patients in Rafsanjan County.
Materials and Methods: In this descriptive study, data of 3,212 patients referred to the Ali-Ibn Abitaleb Hospital in Rafsanjan County, Iran were recorded. Collected data included demographic information (age, sex, etc.), information about the method of referral to the hospital, contact history, previous history of infections, clinical symptoms associated with the disease, and data on comorbidities. Data were analyzed using a chi-square test and logistic regression coefficients.
Results: The three common clinical symptoms were fevers (46%), muscular pain (44.6%), and coughs (34%). The most common comorbidity was hypertension (7.9%), and the case fatality rate was 10.8%. Besides, the death ratio in confirmed patients was significantly higher than that in suspected cases (P < 0.001). The chance of death in men was 16% higher than Women's (OR = 1.166). The chance of death in people with cancer and in people with reduced levels of consciousness was 9.1 and 5.5 times, respectively, higher than that in patients without comorbidity (P < 0.001).

Conclusions: Most of the features of our patients resembled those reported in previous research. The results of this study can contribute to healthcare policymaking for this disorder.
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1. Wang L, Wang Y, Ye D, Liu Q. Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence. Int J Antimicrob Agents. 2020;55(6):105948. [DOI] [PMID] [PMCID]
2. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-3. [DOI] [PMID] [PMCID]
3. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al., A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-33. [DOI] [PMID] [PMCID]
4. Aggarwal S, Garcia-Telles N, Aggarwal G, Lavie C, Lippi G, Henry BM. Clinical features, laboratory characteristics, and outcomes of patients hospitalized with coronavirus disease 2019 (COVID-19): Early report from the United States. Diagnosis (Berl). 2020;7(2):91-6. [DOI] [PMID]
5. Siordia JA Jr. Epidemiology and clinical features of COVID-19: A review of current literature. J Clin Virol. 2020;127:104357. [DOI] [PMID] [PMCID]
6. Kaljee L, Zhang L, Langhaug L, Munjile K, Tembo S, Menon A, et al. A randomized-control trial for the teachers’ diploma programme on psychosocial care, support and protection in Zambian government primary schools. Psychol Health Med. 2017;22(4):381-92. [DOI] [PMID]
7. Zakeri MA, Hossini Rafsanjanipoor SM, Kahnooji M, Ghaedi Heidari F, Dehghan M. Generalized Anxiety Disorder during the COVID-19 Outbreak in Iran: The Role of Social Dysfunction. J Nerv Ment Dis. 2021;209(7):491-6. [DOI] [PMID]
8. World Heahlth Organization.WHO Coronavirus (COVID-19) Dashboard: WHO; 2020. Available from: https://covid19.who.int/. Accessed March 4, 2020.
9. Docherty AB, Harrison EM, Green CA, Hardwick HE, Pius R, Norman L, et al. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ. 2020;369:m1985. [DOI] [PMID] [PMCID]
10. Vena A, Giacobbe DR, Di Biagio A, Mikulska M, Taramasso L, De Maria A, et al. Clinical characteristics, management and in-hospital mortality of patients with coronavirus disease 2019 in Genoa, Italy. Clin Microbiol Infect. 2020;26(11):1537-44. [DOI] [PMID] [PMCID]
11. Chen P, Zhang Y, Wen Y, Guo J, Jia J, Ma Y, et al. Epidemiological and clinical characteristics of 136 cases of COVID-19 in main district of Chongqing. J Formos Med Assoc. 2020;119(7):1180-4. [DOI] [PMID] [PMCID]
12. Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475-81. [DOI] [PMID] [PMCID]
13. Mez J, Daneshvar DH, Kiernan PT, Abdolmohammadi B, Alvarez VE, Huber BR, et al., Clinicopathological Evaluation of Chronic Traumatic Encephalopathy in Players of American Football. JAMA. 2017;318(4):360-70. [DOI] [PMID] [PMCID]
14. Faury H, Courboulès C, Payen M, Jary A, Hausfater P, Luyt C, et al. Medical features of COVID-19 and influenza infection: A comparative study in Paris, France. J Infect. 2021;82(2):e36-9. [DOI] [PMID] [PMCID]
15. Nachtigall I, Lenga P, Jóźwiak K, Thürmann P, Meier-Hellmann A, Kuhlen R, et al. Clinical course and factors associated with outcomes among 1904 patients hospitalized with COVID-19 in Germany: an observational study. Clin Microbiol Infect. 2020;26(12):1663-9. [DOI] [PMID] [PMCID]
16. Maechler F, Gertler M, Hermes J, van Loon W, Schwab F, Piening B, et al. Epidemiological and clinical characteristics of SARS-CoV-2 infections at a testing site in Berlin, Germany, March and April 2020-a cross-sectional study. Clin Microbiol Infec. 2020;26(12):1685.e7-1685.e12. [DOI] [PMID] [PMCID]
17. Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int J Antimicrob Agents. 2020;55(3):105924. [DOI] [PMID] [PMCID]
18. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020;295(3):715-21. [DOI] [PMID] [PMCID]
19. Shahriarirad R, Khodamoradi Z, Erfani A, Hosseinpour H, Ranjbar K, Emami Y, et al. Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran. BMC Infect Dis. 2020;20(1):427. [DOI] [PMID] [PMCID]
20. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China. JAMA. 2020;323(11):1061-9. [DOI] [PMID] [PMCID]
21. Hassan SA, Sheikh FN, Jamal S, Ezeh JK, Akhtar A. Coronavirus (COVID-19): A Review of Clinical Features, Diagnosis, and Treatment. Cureus. 2020;12(3):e7355. [DOI]
22. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk Factors Associated with Acute Respiratory Distress Syndrome and Death in Patients with Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med. 2020;180(7):934-43. [DOI] [PMID] [PMCID]
23. Hong KH, Choi JP, Hong SH, Lee J, Kwon JS, Kim SM, et al. Predictors of mortality in Middle East respiratory syndrome (MERS). Thorax. 2018;73(3):286-9. [DOI] [PMID]
24. Choi KW, Chau TN, Tsang O, Tso E, Chiu MC, Tong WL, et al. Outcomes and prognostic factors in 267 patients with severe acute respiratory syndrome in Hong Kong. Ann Intern Med. 2003;139(9):715-23. [DOI] [PMID]
25. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42. [DOI] [PMID]
26. Cao Y, Liu X, Xiong L, Cai K. Imaging and clinical features of patients with 2019 novel coronavirus SARS‐CoV‐2: A systematic review and meta‐analysis. J Med Virol. 2020;92(9):1449-59. [DOI] [PMID] [PMCID]
27. Wu J, Wu X, Zeng W, Guo D, Fang Z, Chen L, et al. Chest CT Findings in Patients with Coronavirus Disease 2019 and Its Relationship with Clinical Features. Invest Radiol. 2020;55(5):257-61. [DOI] [PMID] [PMCID]
28. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020;46(5):846-8. [DOI] [PMID] [PMCID]
29. Chen J. Pathogenicity and transmissibility of 2019-nCoV- a quick overview and comparison with other emerging viruses. Microbes Infect. 2020;22(2):69-71. [DOI] [PMID] [PMCID]
30. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054-62. [DOI] [PubMed] [PMCID]
31. Li XC, Zhang J, Zhuo JL. The vasoprotective axes of the renin-angiotensin system: physiological relevance and therapeutic implications in cardiovascular, hypertensive and kidney diseases. Pharmacol Res. 2017;125(Pt A):21-38. [DOI] [PMID] [PMCID]
32. Wan Y, Shang J, Graham R, Baric RS, Li F. Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus. J Virol. 2020;94(7):e00127-20. [DOI] [PMID] [PMCID]
33. Fang L, Karakiulakis G, Roth M. Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection? Lancet Respir Med. 2020;8(4):e21. [DOI] [PMID] [PMCID]
34. Conti P, Younes A. Coronavirus COV-19/SARS-CoV-2 affects women less than men: clinical response to viral infection. J Biol Regul Homeost Agents. 2020;34(2):339-43. [DOI] [PMID]
35. Suzuki M, Saito K, Min WP, Vladau C, Toida K, Itoh H, et al. Identification of viruses in patients with postviral olfactory dysfunction. Laryngoscope. 2007;117(2):272-7. [DOI] [PMID] [PMCID]
36. Jalili M, Payandemehr P, Saghaei A, Sari HN, Safikhani H, Kolivand P. Characteristics and Mortality of Hospitalized Patients with COVID-19 in Iran: A National Retrospective Cohort Study. Ann Intern Med. 2021;174(1):125-7. [DOI] [PMID] [PMCID]
37. Haghighi M, Hatami H, Aryannezhad S, Delbarial N. Risk Factors of Mortality among Hospitalized COVID-19 Patients in A Large University Hospital in Tehran, Iran. Infect Epidemiol Microbiol. 2021;7(2):141-54. [DOI]
38. Wang K, Zhao W, Li J, Shu W, Duan J. The experience of high-flow nasal cannula in hospitalized patients with 2019 novel coronavirus-infected pneumonia in two hospitals of Chongqing, China. Ann Intensive Care. 2020;10(1):37. [DOI] [PMID] [PMCID]
39. Elharrar X, Trigui Y, Dols AM, Touchon F, Martinez S, Prud'homme E, et al. Use of Prone Positioning in Nonintubated Patients with COVID-19 and Hypoxemic Acute Respiratory Failure. JAMA. 2020;323(22):2336-8. [DOI] [PMID] [PMCID]
40. European Society For Medical Oncology (ESMO). Cancer Patient Management During the COVID-19 Pandemic. Geneva, Switzerland: European Society For Medical Oncology; . Available from: https://www.esmo.org/guidelines/cancer-patient-management-during-the-covid-19-pandemic

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