Open AccessPrediction of COVID-19 New Cases Using Multiple Linear Regression Model Based on May to June 2020 Data in Ethiopia
Author(s) -
Alemayehu Siffir Argawu,
Gizachew Gobebo,
Ketema Bedane,
Temesgen Senbeto,
Reta Lemessa,
Agassa Galdassa
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i51a33468
Subject(s) - covid-19 , christian ministry , linear regression , government (linguistics) , regression analysis , linear model , demography , statistics , medicine , geography , environmental health , political science , mathematics , pathology , sociology , outbreak , linguistics , philosophy , disease , infectious disease (medical specialty) , law
The aims of this study was to predict COVID-19 new cases using multiple linear regression model based on May to June 2020 data in Ethiopia. The COVID-19 cases data was collected from the Ethiopia Ministry of Health Organization Facebook page. Pearson’s correlation analysis and linear regression model were used in the study. And, the COVID-19 new cases was positively correlated with the number of days, daily laboratory tests, new cases of males, new cases of females, new cases from Addis Ababa city, and new cases from foreign natives. In the multiple linear regression model, COVID-19 new cases was significantly predicted by the number of days at 5%, the number of daily laboratory tests at 10%, and the number of new cases from Addis Ababa city at 1% levels of significance. Then, the researchers recommended that Ethiopian Government, Ministry of Health, and Addis Ababa city administrative should give more awareness and protections for societies, and they should open again more COVID-19 laboratory testing centers. And, this study will help the government and doctors in preparing their plans for the next times.