الفهرس 
Introduction and aim of workOnly 14 pages are availabe for public view
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Abstract
The covid-19 pandemic is still active. Globally, millions of new covid-19 cases and thousands of deaths are reported weekly. Its laboratory detection depends on the costly and time-consuming real-time PCR analysis. A simple way to facilitate the diagnosis of Covid-19 is still required. Here, it was aimed to generate a simple point score as a prediction model for fast diagnosis of Covid-19 using simple laboratory analyses. 121 adult individuals with qRT-PCR results served as a training group, whereas 35 individuals were used as a validation group. Different laboratory analysis, including complete blood count, differential count, D-dimer, CRP, and ferritin, have been recruited as predictors using (ROC) analysis. The results of three models, depending on the predictor parameters’ ROC area (AUC). The simplest model consisted of the data of the three predictors: lymphocytopenia, CRP, and D-dimer, and resulted in a ROC AUC value of 0.9773. the validation group supported the finding that estimation of both lymphocyte count, CRP, and D-dimer will be sufficient to forecast the occurrence of Covid-19.