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  1. Article: Modeling the Impact of Unreported Cases of the COVID-19 in the North African Countries.

    Djilali, Salih / Benahmadi, Lahbib / Tridane, Abdessamad / Niri, Khadija

    Biology

    2020  Volume 9, Issue 11

    Abstract: In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco. To understand how the population respects the restriction of population mobility ... ...

    Abstract In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco. To understand how the population respects the restriction of population mobility implemented in each country, we use Google and Apple's mobility reports. These mobility reports help to quantify the effect of the population movement restrictions on the evolution of the active infection cases. We also approximate the number of the population infected unreported, the proportion of those that need hospitalization, and estimate the end of the epidemic wave. Moreover, we use our model to estimate the second wave of the COVID-19 Algeria and Morocco and to project the end of the second wave. Finally, we suggest some additional measures that can be considered to reduce the burden of the COVID-19 and would lead to a second wave of the spread of the virus in these countries.
    Keywords covid19
    Language English
    Publishing date 2020-11-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology9110373
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Modeling the Impact of Unreported Cases of the COVID-19 in the North African Countries

    Djilali, Salih / Benahmadi, Lahbib / Tridane, Abdessamad / Niri, Khadija

    Biology. 2020 Nov. 03, v. 9, no. 11

    2020  

    Abstract: In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco. To understand how the population respects the restriction of population mobility ... ...

    Abstract In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco. To understand how the population respects the restriction of population mobility implemented in each country, we use Google and Apple’s mobility reports. These mobility reports help to quantify the effect of the population movement restrictions on the evolution of the active infection cases. We also approximate the number of the population infected unreported, the proportion of those that need hospitalization, and estimate the end of the epidemic wave. Moreover, we use our model to estimate the second wave of the COVID-19 Algeria and Morocco and to project the end of the second wave. Finally, we suggest some additional measures that can be considered to reduce the burden of the COVID-19 and would lead to a second wave of the spread of the virus in these countries.
    Keywords Coronavirus infections ; apples ; evolution ; infection ; lead ; mathematical models ; paper ; population ; viruses ; Algeria ; Egypt ; Morocco
    Language English
    Dates of publication 2020-1103
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    Note NAL-light
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology9110373
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Modeling the Impact of Unreported Cases of the COVID-19 in the North African Countries

    Djilali, Salih Benahmadi Lahbib Tridane Abdessamad Niri Khadija

    Biology

    Abstract: In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco To understand how the population respects the restriction of population mobility ... ...

    Abstract In this paper, we study a mathematical model investigating the impact of unreported cases of the COVID-19 in three North African countries: Algeria, Egypt, and Morocco To understand how the population respects the restriction of population mobility implemented in each country, we use Google and Apple’s mobility reports These mobility reports help to quantify the effect of the population movement restrictions on the evolution of the active infection cases We also approximate the number of the population infected unreported, the proportion of those that need hospitalization, and estimate the end of the epidemic wave Moreover, we use our model to estimate the second wave of the COVID-19 Algeria and Morocco and to project the end of the second wave Finally, we suggest some additional measures that can be considered to reduce the burden of the COVID-19 and would lead to a second wave of the spread of the virus in these countries
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #896283
    Database COVID19

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