Extract Analytical Indicators for Covid 19 Disease Database
Abstract
In this paper, real data was collected on people infected with the Covid-19 epidemic in the city of Mosul for the period from 1/11/2020 to 1/4/2021. Where the items of the patient's form (resident/output) were approved in the city's hospitals, which contain a current reality of the pathological condition, in addition to the historical situation of the injured person in terms of health. This data was analyzed and build an SQL-Server database system to store patients data that was collected for analysis through Microsoft Excel. The main objective of the paper is to diagnose the main factors that control the issue of the spread of the Covid-19 epidemic by building a model that simulates all the social components of the city of Mosul in terms of the standard of living, cultural, class decline, and the rest of the factors that describe Mosul society, and then the data collected from health centers are reflected on that model. Through the study and analysis of the data, it was found that the relationships between the incidence of the epidemic and the factors that were identified in the data collection are directly proportional in some characteristics and inversely in other characteristics
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