Correlational Analysis of COVID-19 Deaths and Recoveries per Country

Montalban, Erl Jay; Canja, Richard; Caluban, Razer; Buladaco, Mark Van M.

doi:10.2139/ssrn.3624543

Cited by 4 publications

(5 citation statements)

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“…And, a similar study from Philippine showed that there was a correlation significantly between new cases and deaths (r=0.440, p=0.002). Other study from Algeria found there dates had correlations with daily new COVID-19 cases, and with daily new deaths [10][11][12]. And other highly qualified study from Indian found that the number of daily deaths was significantly and positively correlated with the number of recoveries (r=0.28, p=0.042), and the number of tests was significant and positively with COVID-19 cumulative infected cases (r=0.59, p=0.000) and with cumulative deaths (r=0.55, p=0.000).…”

Section: Discussionmentioning

confidence: 89%

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Regression Models for Predictions of COVID-19 New Cases and New Deaths Based on May/June Data in Ethiopia

Argawu

2020

Preprint

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As the 15 of June 2020, we have 7,984,067 total COVID-19 cases, globally and 435,181 total deaths. Ethiopia was ranked 2nd and 15th in the table by 176 new cases and by 3,521 total new cases from African countries. Then, this study aimed to predict COVID-19 new cases and new deaths based on May/June data in Ethiopia using regression model. In this study, I used Pearson correlation analysis and the linear regression model to predict COVID-19 new cases and new deaths based on the available data from 12th May to 10th June 2020 in Ethiopia. There was a significant positive correlation between COVID-19 new cases and new deaths with different related variables. In the regression models, the simple linear regression model was a better fit the data of COVID-19 new cases and new deaths than as compared with quadratic and cubic regression models. In the multiple linear regression model, variables such as the number of days, the number of new laboratory tests, and the number of new cases from AA city significantly predicted the COVID-19 new cases. In this model, the number of days and new recoveries significantly predicted new deaths of COVID-19. The number of days, daily laboratory tests, and new cases from Addis Ababa city significantly predicted new COVID-19 cases, and the number of days and new recoveries significantly predicted new deaths from COVID-19. According to this analysis, if strong preventions and action are not taken in the country, the predicted values of COVID-19 new cases and new deaths will be 590 and 12 after two months (after 9th of August) from now, respectively. The researcher recommended that the Ethiopia government, Ministry of Health and Addis Ababa city administrative should give more awareness and protections for societies, and they should also open more COVID-19 laboratory testing centers. Generally, the obtained results of this study may help Ethiopian decision-makers put short-term future plans to face this epidemic.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Regression Models for Predictions of COVID-19 New Cases and New Deaths Based on May/June Data in Ethiopia

Argawu

2020

Preprint

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“…These models are used for forecasting in long term intervals. And, another study from Indian showed that the linear model was the best fitting model for Region III from May 3 rd to May 15 th [8][9][10].…”

Section: Discussionmentioning

confidence: 99%

Prediction of COVID-19 New Cases Using Multiple Linear Regression Model Based on May to June 2020 Data in Ethiopia

Argawu

Gobebo

Bedane

et al. 2021

JPRI

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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.

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Section: Discussionmentioning

confidence: 99%

Regression Models for Predictions of COVID-19 New Cases and New Deaths in Ethiopia

Argawu¹

2020

IJTAM

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Correlational Analysis of COVID-19 Deaths and Recoveries per Country

Cited by 4 publications

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Regression Models for Predictions of COVID-19 New Cases and New Deaths Based on May/June Data in Ethiopia

Regression Models for Predictions of COVID-19 New Cases and New Deaths Based on May/June Data in Ethiopia

Prediction of COVID-19 New Cases Using Multiple Linear Regression Model Based on May to June 2020 Data in Ethiopia

Regression Models for Predictions of COVID-19 New Cases and New Deaths in Ethiopia

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