Constructing a Multilevel Modeling to High-Resolution CT (HRCT) Lung in Patients with COVID-19 Infection

نویسندگان

چکیده

The coronavirus disease, also called COVID-19 is caused by the SARS-CoV-2 virus. Most people contaminated with virus will experience mild to moderate symptoms of respiratory diseases. aim this paper constructing a model multilevel modeling for these patients who sufferers coronaviruses, we got seven hospitals which totals (636) in private and public that 27% from Erbil, 26% Sulaimani, 23% Duhok 24% Halabja period (September 1th, 2019 February 2022). In modelling restricted maximum likelihood estimation (RMLE) full (FML) acclimate estimate parameters models (fixed random). application was on HRCT lungs patients, were selected randomly among county Kurdistan region Iraq. result shows all three variables are significant at hospital level, but two final add level-2 predictor (Doctor Experience) interaction level-1 (smoker), far significant. However, there relationship between being diabetic having CT scan, smoking scan not

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ژورنال

عنوان ژورنال: IRAOI JOURNAL OF STATISTICAL SCIENCES

سال: 2022

ISSN: ['2664-2956', '1680-855X']

DOI: https://doi.org/10.33899/iqjoss.2022.176224