{"title":"Forecasting daily confirmed COVID-19 cases in Algeria using ARIMA models.","authors":"Messis Abdelaziz, Adjebli Ahmed, Ayeche Riad, Ghidouche Abderrezak, Ait-Ali Djida","doi":"10.26719/emhj.23.054","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>COVID-19 has become a threat worldwide, affecting every country.</p><p><strong>Aims: </strong>This study aimed to identify COVID-19 cases in Algeria using times series models for forecasting the disease.</p><p><strong>Methods: </strong>Confirmed COVID-19 daily cases data were obtained from 21 March 2020 to 26 November 2020 from the Algerian Ministry of Health. Forecasting was done using the Autoregressive Integrated Moving Average (ARIMA) models (0,1,1) with Minitab 17 software.</p><p><strong>Results: </strong>Observed cases during the forecast period were accurately predicted and placed within prediction intervals generated by ARIMA. Forecasted values of COVID-19 positive cases, recoveries and deaths showed an accurate trend, which corresponded to actual cases reported during 252, 253 and 254 days. Results were strengthened by variations of less than 5% between forecast and observed cases in 100% of forecasted data.</p><p><strong>Conclusion: </strong>ARIMA models with optimally selected covariates are useful tools for predicting COVID-19 cases in Algeria.</p>","PeriodicalId":11411,"journal":{"name":"Eastern Mediterranean Health Journal","volume":"29 7","pages":"515-519"},"PeriodicalIF":1.7000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eastern Mediterranean Health Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.26719/emhj.23.054","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: COVID-19 has become a threat worldwide, affecting every country.
Aims: This study aimed to identify COVID-19 cases in Algeria using times series models for forecasting the disease.
Methods: Confirmed COVID-19 daily cases data were obtained from 21 March 2020 to 26 November 2020 from the Algerian Ministry of Health. Forecasting was done using the Autoregressive Integrated Moving Average (ARIMA) models (0,1,1) with Minitab 17 software.
Results: Observed cases during the forecast period were accurately predicted and placed within prediction intervals generated by ARIMA. Forecasted values of COVID-19 positive cases, recoveries and deaths showed an accurate trend, which corresponded to actual cases reported during 252, 253 and 254 days. Results were strengthened by variations of less than 5% between forecast and observed cases in 100% of forecasted data.
Conclusion: ARIMA models with optimally selected covariates are useful tools for predicting COVID-19 cases in Algeria.
期刊介绍:
The Eastern Mediterranean Health Journal, established in 1995, is the flagship health periodical of the World Health Organization Regional Office for the Eastern Mediterranean.
The mission of the Journal is to contribute to improving health in the Eastern Mediterranean Region by publishing and publicising quality health research and information with emphasis on public health and the strategic health priorities of the Region. It aims to: further public health knowledge, policy, practice and education; support health policy-makers, researchers and practitioners; and enable health professionals to remain informed of developments in public health.
The EMHJ:
-publishes original peer-reviewed research and reviews in all areas of public health of relevance to the Eastern Mediterranean Region
-encourages, in particular, research related to the regional health priorities, namely: health systems strengthening; emergency preparedness and response; communicable diseases; noncommunicable diseases and mental health; reproductive, maternal, child health and nutrition
-provides up-to-date information on public health developments with special reference to the Region.
The Journal addresses all members of the health profession, health educational institutes, as well as governmental and nongovernmental organizations in the area of public health within and outside the Region.