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Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study
COVID-19 is still a major pandemic threatening all the world. In Palestine, there were 26,764 COVID-19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches, autoregressive integrated moving average (ARIMA) and k-th moving averages - ARIMA models are used for m...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508169/ https://www.ncbi.nlm.nih.gov/pubmed/32984666 http://dx.doi.org/10.1016/j.idm.2020.09.001 |
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author | Dawoud, Issam |
author_facet | Dawoud, Issam |
author_sort | Dawoud, Issam |
collection | PubMed |
description | COVID-19 is still a major pandemic threatening all the world. In Palestine, there were 26,764 COVID-19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches, autoregressive integrated moving average (ARIMA) and k-th moving averages - ARIMA models are used for modeling the COVID-19 cumulative confirmed cases in Palestine. The data was taken from World Health Organization (WHO) website for one hundred seventy-six (176) days, from March 5, 2020 through August 27, 2020. We identified the best models for the above mentioned approaches that are ARIMA (1,2,4) and 5-th Exponential Weighted Moving Average – ARIMA (2,2,3). Consequently, we recommended to use the 5-th Exponential Weighted Moving Average – ARIMA (2,2,3) model in order to forecast new values of the daily cumulative confirmed cases in Palestine. The forecast values are alarming, and giving the Palestinian government a good picture about the next number of COVID-19 cumulative confirmed cases to review her activities and interventions and to provide some robust structures and measures to avoid these challenges. |
format | Online Article Text |
id | pubmed-7508169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75081692020-09-23 Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study Dawoud, Issam Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu COVID-19 is still a major pandemic threatening all the world. In Palestine, there were 26,764 COVID-19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches, autoregressive integrated moving average (ARIMA) and k-th moving averages - ARIMA models are used for modeling the COVID-19 cumulative confirmed cases in Palestine. The data was taken from World Health Organization (WHO) website for one hundred seventy-six (176) days, from March 5, 2020 through August 27, 2020. We identified the best models for the above mentioned approaches that are ARIMA (1,2,4) and 5-th Exponential Weighted Moving Average – ARIMA (2,2,3). Consequently, we recommended to use the 5-th Exponential Weighted Moving Average – ARIMA (2,2,3) model in order to forecast new values of the daily cumulative confirmed cases in Palestine. The forecast values are alarming, and giving the Palestinian government a good picture about the next number of COVID-19 cumulative confirmed cases to review her activities and interventions and to provide some robust structures and measures to avoid these challenges. KeAi Publishing 2020-09-22 /pmc/articles/PMC7508169/ /pubmed/32984666 http://dx.doi.org/10.1016/j.idm.2020.09.001 Text en © 2020 The Author http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Dawoud, Issam Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title | Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title_full | Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title_fullStr | Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title_full_unstemmed | Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title_short | Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study |
title_sort | modeling palestinian covid-19 cumulative confirmed cases: a comparative study |
topic | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7508169/ https://www.ncbi.nlm.nih.gov/pubmed/32984666 http://dx.doi.org/10.1016/j.idm.2020.09.001 |
work_keys_str_mv | AT dawoudissam modelingpalestiniancovid19cumulativeconfirmedcasesacomparativestudy |