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  1. Article ; Online: A novel approach to model the role of mobility suppression and vaccinations in containing epidemics in a network of cities.

    Alrawas, Leen / Tridane, Abdessamad / Benrhmach, Ghassane

    Infectious Disease Modelling

    2024  Volume 9, Issue 2, Page(s) 397–410

    Abstract: This paper presents a comprehensive agent-based model for the spread of an infection in a network of cities. Directional mobility is defined between each two cities and can take different values. The work examines the role that such mobility levels play ... ...

    Abstract This paper presents a comprehensive agent-based model for the spread of an infection in a network of cities. Directional mobility is defined between each two cities and can take different values. The work examines the role that such mobility levels play in containing the infection with various vaccination coverage and age distributions. The results indicate that mobility reduction is sufficient to control the disease under all circumstances and full lockdowns are not a necessity. It has to be reduced to different ratios depending on the vaccination level and age distribution. A key finding is that increasing vaccination coverage above a certain level does not affect the mobility suppression level required to control the infection anymore for the cases of young population and heterogeneous age distributions. By investigating several migration and commuting patterns, it is found that shutting mobility in a few local places is favored against reducing mobility over the entire country network. In addition, commuting -and not migration-influences the spread level of the infection. The work offers an exclusive combined network-based and agent-based model that makes use of randomly generated mobility matrices.
    Language English
    Publishing date 2024-02-07
    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.2024.01.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Optimal control and stability analysis of an age-structured SEIRV model with imperfect vaccination.

    Kumar, Manoj / Abbas, Syed / Tridane, Abdessamad

    Mathematical biosciences and engineering : MBE

    2023  Volume 20, Issue 8, Page(s) 14438–14463

    Abstract: Vaccination programs are crucial for reducing the prevalence of infectious diseases and ultimately eradicating them. A new age-structured SEIRV (S-Susceptible, E-Exposed, I-Infected, R-Recovered, V-Vaccinated) model with imperfect vaccination is proposed. ...

    Abstract Vaccination programs are crucial for reducing the prevalence of infectious diseases and ultimately eradicating them. A new age-structured SEIRV (S-Susceptible, E-Exposed, I-Infected, R-Recovered, V-Vaccinated) model with imperfect vaccination is proposed. After formulating our model, we show the existence and uniqueness of the solution using semigroup of operators. For stability analysis, we obtain a threshold parameter $ R_0 $. Through rigorous analysis, we show that if $ R_0 < 1 $, then the disease-free equilibrium point is stable. The optimal control strategy is also discussed, with the vaccination rate as the control variable. We derive the optimality conditions, and the form of the optimal control is obtained using the adjoint system and sensitivity equations. We also prove the uniqueness of the optimal controller. To visually illustrate our theoretical results, we also solve the model numerically.
    MeSH term(s) Immunization Programs ; Vaccination
    Language English
    Publishing date 2023-09-09
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2023646
    Database MEDical Literature Analysis and Retrieval System OnLINE

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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

    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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  4. Article: On the Maximal Output Admissible Set for a Class of Bilinear Discrete-time Systems.

    Benfatah, Youssef / El Bhih, Amine / Rachik, Mostafa / Tridane, Abdessamad

    International journal of control, automation, and systems

    2021  Volume 19, Issue 11, Page(s) 3551–3568

    Abstract: Given a discrete-time controlled bilinear systems with initial ... ...

    Abstract Given a discrete-time controlled bilinear systems with initial state
    Language English
    Publishing date 2021-09-02
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2486545-X
    ISSN 2005-4092 ; 1598-6446
    ISSN (online) 2005-4092
    ISSN 1598-6446
    DOI 10.1007/s12555-020-0486-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Global dynamics of alcoholism epidemic model with distributed delays.

    Djillali, Salih / Bentout, Soufiane / Touaoula, Tarik Mohammed / Tridane, Abdessamad

    Mathematical biosciences and engineering : MBE

    2021  Volume 18, Issue 6, Page(s) 8245–8256

    Abstract: This paper aims to investigate the global dynamics of an alcoholism epidemic model with distributed delays. The main feature of this model is that it includes the effect of the social pressure as a factor of drinking. As a result, our global stability is ...

    Abstract This paper aims to investigate the global dynamics of an alcoholism epidemic model with distributed delays. The main feature of this model is that it includes the effect of the social pressure as a factor of drinking. As a result, our global stability is obtained without a "basic reproduction number" nor threshold condition. Hence, we prove that the alcohol addiction will be always uniformly persistent in the population. This means that the investigated model has only one positive equilibrium, and it is globally asymptotically stable independent on the model parameters. This result is shown by proving that the unique equilibrium is locally stable, and the global attraction is shown using Lyapunov direct method.
    MeSH term(s) Alcoholism/epidemiology ; Basic Reproduction Number ; Communicable Diseases/epidemiology ; Epidemics ; Humans ; Models, Biological
    Language English
    Publishing date 2021-12-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2021409
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. 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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  7. 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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  8. Article ; Online: Evaluating COVID-19 control measures in mass gathering events with vaccine inequalities.

    Al-Shaery, Ali M / Hejase, Bilal / Tridane, Abdessamad / Farooqi, Norah S / Al Jassmi, Hamad

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 3652

    Abstract: With the increasing global adoption of COVID-19 vaccines, limitations on mass gathering events have started to gradually loosen. However, the large vaccine inequality recorded among different countries is an important aspect that policymakers must ... ...

    Abstract With the increasing global adoption of COVID-19 vaccines, limitations on mass gathering events have started to gradually loosen. However, the large vaccine inequality recorded among different countries is an important aspect that policymakers must address when implementing control measures for such events. In this paper, we propose a model for the assessment of different control measures with the consideration of vaccine inequality in the population. Two control measures are considered: selecting participants based on vaccine efficacy and restricting the event capacity. We build the model using agent-based modeling to capture the spatiotemporal crowd dynamics and utilize a genetic algorithm to assess the control strategies. This assessment is based on factors that are important for policymakers such as disease prevalence, vaccine diversity, and event capacity. A quantitative evaluation of vaccine diversity using the Simpson's Diversity Index is also provided. The Hajj ritual is used as a case study. We show that strategies that prioritized lowering the prevalence resulted in low event capacity but facilitated vaccine diversity. Moreover, strategies that prioritized diversity resulted in high infection rates. However, increasing the prioritization of participants with high vaccine efficacy significantly decreased the disease prevalence. Strategies that prioritized ritual capacity did not show clear trends.
    MeSH term(s) Algorithms ; COVID-19/prevention & control ; COVID-19 Vaccines/therapeutic use ; Humans ; Islam ; Mass Gatherings ; Models, Statistical ; Saudi Arabia/epidemiology
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-03-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-07609-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Modelling the effect of non-pharmaceutical interventions on COVID-19 transmission from mobility maps.

    Hasan, Umair / Al Jassmi, Hamad / Tridane, Abdessamad / Stanciole, Anderson / Al-Hosani, Farida / Aden, Bashir

    Infectious Disease Modelling

    2022  Volume 7, Issue 3, Page(s) 400–418

    Abstract: The world has faced the COVID-19 pandemic for over two years now, and it is time to revisit the lessons learned from lockdown measures for theoretical and practical epidemiological improvements. The interlink between these measures and the resulting ... ...

    Abstract The world has faced the COVID-19 pandemic for over two years now, and it is time to revisit the lessons learned from lockdown measures for theoretical and practical epidemiological improvements. The interlink between these measures and the resulting change in mobility (a predictor of the disease transmission contact rate) is uncertain. We thus propose a new method for assessing the efficacy of various non-pharmaceutical interventions (NPI) and examine the aptness of incorporating mobility data for epidemiological modelling. Facebook mobility maps for the United Arab Emirates are used as input datasets from the first infection in the country to mid-Oct 2020. Dataset was limited to the pre-vaccination period as this paper focuses on assessing the different NPIs at an early epidemic stage when no vaccines are available and NPIs are the only way to reduce the reproduction number (
    Language English
    Publishing date 2022-07-14
    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.2022.07.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Thalassemia in the United Arab Emirates: Why it can be prevented but not eradicated.

    Kim, Sehjeong / Tridane, Abdessamad

    PloS one

    2017  Volume 12, Issue 1, Page(s) e0170485

    Abstract: Thalassemia is a genetic blood disorder that causes abnormal hemoglobin. Hemoglobin is a protein in red blood cells that carries oxygen and is made of two proteins from four α-globin genes and two β-globin genes. A defect in one or more of these genes ... ...

    Abstract Thalassemia is a genetic blood disorder that causes abnormal hemoglobin. Hemoglobin is a protein in red blood cells that carries oxygen and is made of two proteins from four α-globin genes and two β-globin genes. A defect in one or more of these genes causes thalassemia. The treatment of thalassemia mostly depends on life-long blood transfusions and removal of excessive iron from the blood stream. Such tremendous blood consumption puts pressure on the national blood stock in many countries. In particular, in the United Arab Emirates (UAE), various forms of thalassemia prevention have been used and hence, the substantial reduction of the thalassemia major population has been achieved. However, the thalassemia carrier population still remains high, which leads to the potential increase in the thalassemia major population through carrier-carrier marriages. In this work, we investigate the long-term impact and efficacy of thalassemia prevention measures via mathematical modeling at a population level. To our best knowledge, this type of assessment has not been done before and there is no mathematical model that has investigated such a problem for thalassemia or any blood disorders at a population level. By using UAE data, we perform numerical simulations of our model and conduct sensitivity analysis of parameter values to see which parameter values affect most the dynamics of our model. We discover that the prevention measures can contribute to reduce the prevalence of the disease only in the short term but not eradicate the disease in the long term.
    MeSH term(s) Computer Simulation ; Consanguinity ; Disease Eradication ; Educational Status ; Female ; Heterozygote ; Humans ; Male ; Mass Screening ; Models, Theoretical ; Population Dynamics ; Prevalence ; Thalassemia/diagnosis ; Thalassemia/epidemiology ; Thalassemia/prevention & control ; United Arab Emirates/epidemiology
    Language English
    Publishing date 2017
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0170485
    Database MEDical Literature Analysis and Retrieval System OnLINE

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