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10.3233/WOR-205066

http://scihub22266oqcxt.onion/10.3233/WOR-205066
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33459683!ä!33459683

suck abstract from ncbi


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pmid33459683      Work 2021 ; 68 (1): 27-32
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  • Investigating the relationship between occupation and SARS-CoV2 #MMPMID33459683
  • Sarailoo M; Matin S; Vosoughi M; Dargahi A; Gholizadeh H; Damavandi MR; Abbasi-Ghahramanloo A; Kamran A
  • Work 2021[]; 68 (1): 27-32 PMID33459683show ga
  • BACKGROUND: Coronaviruses are a large family of viruses that have symptoms ranging from simple symptoms of colds to severe respiratory syndromes. In December 2019, cases of unknown pneumonia first appeared in Wuhan, China. OBJECTIVE: The purpose of this study was to investigate the relationship between occupation and COVID-19 in the Ardabil Imam Khomeini hospital. METHODS: This research was conducted as a cross-sectional and descriptive study. The questionnaires used in this study included demographic information to obtain the required information such as age, sex, clinical symptoms, underlying disease, type of drug used, smoking, occupation, hours of work, number of daily clients, use of mask or shield, type of working hours, weight and height and body mass index, number family, place of residence, role in the family, presence of an infected person in the family, communication with the suspect, observance or non-observance of health protocols. Our sample size consisted of 774 subjects, all patients at the Ardabil Imam Khomeini Hospital. The subjects were selected randomly. RESULTS: The results of this study showed that the mean age of patients was 56.70 years, with a standard deviation of 18.20 years. Three hundred and sixty participants (46.5%) were female, and 414 (53.5%) were male. In terms of occupation distribution, 317 patients (41%) were housewives. In addition, 57 people (7.4%) were farmers or ranchers. CONCLUSION: In general, it can be concluded that due to severity of infection and threat posed by Coronavirus and the risk of infections between different occupations like the taxi driver and medical staff, it is very important to find out what jobs are in the big threat.
  • |Adult[MESH]
  • |COVID-19/*diagnosis/epidemiology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Iran/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Occupations/*classification/standards/statistics & numerical data[MESH]


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