An Approach for SARS-CoV-2 Infected Cases Report Analysis

Abstract

The information about Coronavirus disease 2019 (COVID-19), especially about infected cases in every country is very urgent. In this paper, an algorithm to analyze the COVID19 infected case reports is introduced. Fifty-two (52) reported cases from LuatVietnam - a reputable Vietnamese online newspaper - were taken as input. The retrieved data were analyzed and classified. The analysis output was saved into a CSV file showing the essential extracted information about infected cases. Each output row contains Patient ID, Gender, Age, Address and Status. Based on the tested results, the algorithm achieved the accuracy of 86.67% with the average processing time per patient of 0.103 milliseconds.