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Risk Factors for COVID-19: A Quantitative Study Conducted at Padang City Center Hospital
International Journal of Statistics in Medical Research ; 12:26-32, 2023.
Article in English | Scopus | ID: covidwho-2299668
ABSTRACT

Objective:

This study sought to estimate the prevalence of COVID-19 infection among hospital staff according to various factors. Moreover, it sought to identify any factors that predicted a higher probability of infection in this population.

Methods:

This descriptive research was conducted among medical and non-medical personnel at Padang City Center Hospital, Indonesia (n=129). A chi-square test analysis was used to determine the degree of interrelationship between the studied variables, while an odds ratio (OR) test was performed to identify more potential categories.

Results:

Some 31.8% of respondents tested positive for COVID-19, although this finding was insignificant (p>0.05). In terms of the OR, the following probabilities were calculated age (OR=1.0 [0.36–2.88]);medical history (OR=1.3 [0.23– 2.0]);higher education (OR=1.9 [0.2–17.6]);wearing a good mask (OR=0.7 [0.07–7.02]);good hand washing (OR=1.8 [0.46–7.07]);good physical distancing (OR=1.8 [0.46–7.07]);good personal protective equipment (OR=0.7 [0.07–7.02]);normal depression, anxiety, and stress (OR<1.0);and comorbidity (OR=1,2 [0.46-3.06]).

Conclusion:

No significant relationship was found between the studied factors and COVID-19 infection. However, there were more potential trends, especially for highly educated medical teams, not wearing a mask, smoking, engaging in strenuous activity, poor psychology, and comorbidity. These findings should prompt policymakers tasked with developing resources and interventions to pay more attention to the needs of medical and non-medical staff during the COVID-19 pandemic, especially the availability of masks © 2023 Martini et al.;Licensee Lifescience Global
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: International Journal of Statistics in Medical Research Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: International Journal of Statistics in Medical Research Year: 2023 Document Type: Article