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  1. Article ; Online: Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study.

    Dawoud, Issam

    Infectious Disease Modelling

    2020  Volume 5, Page(s) 748–754

    Abstract: ... the COVID-19 cumulative confirmed cases in Palestine. The data was taken from World Health Organization ... about the next number of COVID-19 cumulative confirmed cases to review her activities and interventions and ... 19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches ...

    Abstract 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.
    Keywords covid19
    Language English
    Publishing date 2020-09-22
    Publishing country China
    Document type Journal Article
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2020.09.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Modeling Palestinian COVID-19 Cumulative Confirmed Cases: A Comparative Study

    Dawoud, Issam

    Abstract: ... the COVID-19 cumulative confirmed cases in Palestine. The data was taken from World Health Organization ... about the next number of COVID-19 cumulative confirmed cases to review her activities and interventions and ... 19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches ...

    Abstract 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.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #778926
    Database COVID19

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  3. Article ; Online: Modeling Palestinian COVID-19 Cumulative Confirmed Cases

    Dawoud, Issam

    Infectious Disease Modelling

    A Comparative Study

    2020  Volume 5, Page(s) 748–754

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2020.09.001
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Modeling Palestinian COVID-19 Cumulative Confirmed Cases

    Issam Dawoud

    Infectious Disease Modelling, Vol 5, Iss , Pp 748-

    A Comparative Study

    2020  Volume 754

    Abstract: ... the COVID-19 cumulative confirmed cases in Palestine. The data was taken from World Health Organization ... about the next number of COVID-19 cumulative confirmed cases to review her activities and interventions and ... 19 cumulative confirmed cases as of 27th August 2020. In this paper, two statistical approaches ...

    Abstract 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.
    Keywords COVID-19 ; Pandemic ; ARIMA models ; Forecasting ; Moving average models ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Subject code 519
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher KeAi
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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