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  1. Article ; Online: Early estimation of the number of hidden HIV infected subjects: An extended Kalman filter approach.

    Di Giamberardino, Paolo / Iacoviello, Daniela

    Infectious Disease Modelling

    2023  Volume 8, Issue 2, Page(s) 341–355

    Abstract: In the last decades several epidemic emergencies have been affecting the world, influencing the social relationships, the economics and the habits. In particular, starting in the early '80, the Acquired Immunodeficiency Syndrome, AIDS, is representing ... ...

    Abstract In the last decades several epidemic emergencies have been affecting the world, influencing the social relationships, the economics and the habits. In particular, starting in the early '80, the Acquired Immunodeficiency Syndrome, AIDS, is representing one of the most worrying sanitary emergency, that has caused up to now more than 25 million of dead patients. The infection is caused by the Human Immunodeficiency Virus, HIV, that may be transmitted by body fluids; therefore with wise behaviours the epidemic spread could rapidly be contained. This sanitary emergency is peculiar for the long incubation time: it can reach even 10 years, a long period in which the individual can unconsciously infect other subjects. The identification of the number of infected unaware people, mandatory to define suitable containment measures, is here obtained by using the extended Kalman filter applied to a noisy model in which, reasonably, only the number of infected diagnosed patients is available. Numerical simulations and real data analysis support the effectiveness of the approach.
    Language English
    Publishing date 2023-03-11
    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.2023.03.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Optimal therapy for HIV infection containment and virions inhibition.

    Di Giamberardino, Paolo / Iacoviello, Daniela / Zubair, Muhammad

    Infectious Disease Modelling

    2023  Volume 9, Issue 1, Page(s) 10–26

    Abstract: Prevention and early diagnosis are the best and most effective ways for defeating HIV. There is still no vaccine, but treatments with antiretroviral drugs are now available which, in many cases, allow the infection to become chronic. However, research ... ...

    Abstract Prevention and early diagnosis are the best and most effective ways for defeating HIV. There is still no vaccine, but treatments with antiretroviral drugs are now available which, in many cases, allow the infection to become chronic. However, research has highlighted side effects of these drugs and the fact that a flare-up of the infection occurs if the therapy is stopped. In recent years, the presence of virus reserves located in various parts of the body, including the brain, has been hypothesized. The possibility of controlling the infection of healthy cells and of interrupting the proliferation of virions inside the brain has been studied, proposing optimal control strategies.
    Language English
    Publishing date 2023-11-14
    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.2023.11.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Evaluation of the effect of different policies in the containment of epidemic spreads for the COVID-19 case.

    Di Giamberardino, Paolo / Iacoviello, Daniela

    Biomedical signal processing and control

    2020  Volume 65, Page(s) 102325

    Abstract: The paper presents a new mathematical model for the SARS-CoV-2 virus propagation, designed to include all the possible actions to prevent the spread and to help in the healing of infected people. After a discussion on the equilibrium and stability ... ...

    Abstract The paper presents a new mathematical model for the SARS-CoV-2 virus propagation, designed to include all the possible actions to prevent the spread and to help in the healing of infected people. After a discussion on the equilibrium and stability properties of the model, the effects of each different control actions on the evolution of the epidemic spread are analysed, through numerical evaluations for a more intuitive and immediate presentation, showing the consequences on the classes of the population.
    Language English
    Publishing date 2020-11-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2241886-6
    ISSN 1746-8108 ; 1746-8094
    ISSN (online) 1746-8108
    ISSN 1746-8094
    DOI 10.1016/j.bspc.2020.102325
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy.

    Di Giamberardino, Paolo / Iacoviello, Daniela / Papa, Federico / Sinisgalli, Carmela

    Nonlinear dynamics

    2021  Volume 106, Issue 2, Page(s) 1239–1266

    Abstract: An epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the infection ... ...

    Abstract An epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the infection spread since its outbreak in Italy. The single submodels provide a rather accurate description of the COVID-19 evolution in each subpopulation by an extended SEIR model including the class of asymptomatic infectives, which is recognized as a determinant for disease diffusion. The multi-group structure is specifically designed to investigate the effects of the inter-regional mobility restored at the end of the first strong lockdown in Italy (June 3, 2020). In its time-invariant version, the model is shown to enjoy some analytical stability properties which provide significant insights on the efficacy of the implemented control measurements. In order to highlight the impact of human mobility on the disease evolution in Italy between the first and second wave onset, the model is applied to fit real epidemiological data of three geographical macro-areas in the period March-October 2020, including the mass departure for summer holidays. The simulation results are in good agreement with the data, so that the model can represent a useful tool for predicting the effects of the combination of containment measures in triggering future pandemic scenarios. Particularly, the simulation shows that, although the unrestricted mobility alone appears to be insufficient to trigger the second wave, the human transfers were crucial to make uniform the spatial distribution of the infection throughout the country and, combined with the restart of the production, trade, and education activities, determined a time advance of the contagion increase since September 2020.
    Language English
    Publishing date 2021-09-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012600-1
    ISSN 1573-269X ; 0924-090X
    ISSN (online) 1573-269X
    ISSN 0924-090X
    DOI 10.1007/s11071-021-06840-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: 8 Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge

    Di Giamberardino, Paolo / Iacoviello, Daniela

    Control Applications for Biomedical Engineering Systems

    Abstract: Abstract In this chapter the problem of the interaction between groups of subjects singularly characterized by a specific infectious disease is addressed. The dynamical characteristics of an isolated population are preliminary studied, with particular ... ...

    Abstract Abstract In this chapter the problem of the interaction between groups of subjects singularly characterized by a specific infectious disease is addressed. The dynamical characteristics of an isolated population are preliminary studied, with particular reference to the equilibrium points and their stability. Then, the effects of constant inputs on the dynamics are deeply analyzed also by numerical simulations; this analysis is propaedeutic to the study of the interaction between the groups. The interactions between the different populations are modeled as additional input/output to the single group dynamics introducing total averaged effects including all the external migration effects. This approach focuses on the changes in the dynamics of one population when interactions are present without showing the global migration fluxes, but stressing the influences on each populations. Besides the simplifications of the model, this point of view may be fruitful also with respect of the design of control actions, assuming that each group can adopt the best control strategy for her/his own specific social characteristics. The epidemic case analyzed is HIV-AIDS. This choice has been made since this virus is present all over the world, but with different levels of dangerousness and number of infected patients depending on the economic, social, and cultural habits. The model used is a recently introduced one, which describes this epidemic spread considering two compartments of susceptible people, distinguished by the level of attention with respect to the virus transmission, one of the infected individuals not aware of their status, and two classes of patients, divided according to the level of infection. Additional inputs have been introduced to model fluxes of susceptible individuals and infected but not aware individuals. These effects have been reported in numerous figures showing the results of numerical simulations.
    Keywords covid19
    Publisher Elsevier; PMC
    Document type Article ; Online
    DOI 10.1016/b978-0-12-817461-6.00008-1
    Database COVID19

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  6. Article ; Online: Epidemic modeling and control of HIV/AIDS dynamics in populations under external interactions: A worldwide challenge

    Di Giamberardino, Paolo / Iacoviello, Daniela

    Control Applications for Biomedical Engineering Systems

    Abstract: In this chapter the problem of the interaction between groups of subjects singularly characterized by a specific infectious disease is addressed. The dynamical characteristics of an isolated population are preliminary studied, with particular reference ... ...

    Abstract In this chapter the problem of the interaction between groups of subjects singularly characterized by a specific infectious disease is addressed. The dynamical characteristics of an isolated population are preliminary studied, with particular reference to the equilibrium points and their stability. Then, the effects of constant inputs on the dynamics are deeply analyzed also by numerical simulations; this analysis is propaedeutic to the study of the interaction between the groups. The interactions between the different populations are modeled as additional input/output to the single group dynamics introducing total averaged effects including all the external migration effects. This approach focuses on the changes in the dynamics of one population when interactions are present without showing the global migration fluxes, but stressing the influences on each populations. Besides the simplifications of the model, this point of view may be fruitful also with respect of the design of control actions, assuming that each group can adopt the best control strategy for her/his own specific social characteristics. The epidemic case analyzed is HIV-AIDS. This choice has been made since this virus is present all over the world, but with different levels of dangerousness and number of infected patients depending on the economic, social, and cultural habits. The model used is a recently introduced one, which describes this epidemic spread considering two compartments of susceptible people, distinguished by the level of attention with respect to the virus transmission, one of the infected individuals not aware of their status, and two classes of patients, divided according to the level of infection. Additional inputs have been introduced to model fluxes of susceptible individuals and infected but not aware individuals. These effects have been reported in numerous figures showing the results of numerical simulations.
    Keywords covid19
    Publisher Elsevier; PMC
    Document type Article ; Online
    DOI 10.1016/b978-0-12-817461-6.00008-1
    Database COVID19

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  7. Article ; Online: Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population.

    Giamberardino, Paolo Di / Iacoviello, Daniela / Papa, Federico / Sinisgalli, Carmela

    IEEE journal of biomedical and health informatics

    2021  Volume 25, Issue 4, Page(s) 1326–1332

    Abstract: The present work deals with an Ordinary Differential Equation (ODE) model specifically designed to describe the COVID-19 evolution in Italy. The model is particularised on the basis of National data about the infection status of the Italian population to ...

    Abstract The present work deals with an Ordinary Differential Equation (ODE) model specifically designed to describe the COVID-19 evolution in Italy. The model is particularised on the basis of National data about the infection status of the Italian population to obtain numerical solutions that effectively reproduce the real data. Our epidemic model is a classical SEIR model that incorporates two compartments of infected subpopulations, representing diagnosed and undiagnosed individuals respectively, and an additional quarantine compartment. Possible control actions representing social, political, and medical interventions are also included. The numerical results of the proposed model identification by least square fitting are analysed and commented with special emphasis on the estimation of the number of asymptomatic infective individuals. Our fitting results are in good agreement with the epidemiological data. Short and long-term predictions on the evolution of the disease are also given.
    MeSH term(s) Asymptomatic Infections/epidemiology ; COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/transmission ; Computer Simulation ; Disease Progression ; Epidemics/prevention & control ; Epidemics/statistics & numerical data ; Humans ; Italy/epidemiology ; Least-Squares Analysis ; Models, Biological ; Models, Statistical ; Pandemics ; Patient Isolation ; Physical Distancing ; Quarantine ; SARS-CoV-2 ; Time Factors
    Keywords covid19
    Language English
    Publishing date 2021-04-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2020.3009038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5483: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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  8. Article: Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension.

    Baldisseri, Federico / Wrona, Andrea / Menegatti, Danilo / Pietrabissa, Antonio / Battilotti, Stefano / Califano, Claudia / Cristofaro, Andrea / Di Giamberardino, Paolo / Facchinei, Francisco / Palagi, Laura / Giuseppi, Alessandro / Delli Priscoli, Francesco

    Healthcare (Basel, Switzerland)

    2023  Volume 11, Issue 18

    Abstract: Portal hypertension is a complex medical condition characterized by elevated blood pressure in the portal venous system. The conventional diagnosis of such disease often involves invasive procedures such as liver biopsy, endoscopy, or imaging techniques ... ...

    Abstract Portal hypertension is a complex medical condition characterized by elevated blood pressure in the portal venous system. The conventional diagnosis of such disease often involves invasive procedures such as liver biopsy, endoscopy, or imaging techniques with contrast agents, which can be uncomfortable for patients and carry inherent risks. This study presents a deep neural network method in support of the non-invasive diagnosis of portal hypertension in patients with chronic liver diseases. The proposed method utilizes readily available clinical data, thus eliminating the need for invasive procedures. A dataset composed of standard laboratory parameters is used to train and validate the deep neural network regressor. The experimental results exhibit reasonable performance in distinguishing patients with portal hypertension from healthy individuals. Such performances may be improved by using larger datasets of high quality. These findings suggest that deep neural networks can serve as useful auxiliary diagnostic tools, aiding healthcare professionals in making timely and accurate decisions for patients suspected of having portal hypertension.
    Language English
    Publishing date 2023-09-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11182603
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  9. Article ; Online: Dynamical evolution of COVID-19 in Italy with an evaluation of the size of the asymptomatic infective population

    Di Giamberardino, Paolo / Iacoviello, Daniela / Papa, Federico / Sinisgalli, C.

    IEEE Journal of Biomedical and Health Informatics

    2020  , Page(s) 1–1

    Keywords Biotechnology ; Electrical and Electronic Engineering ; Health Information Management ; Computer Science Applications ; covid19
    Publisher Institute of Electrical and Electronics Engineers (IEEE)
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/jbhi.2020.3009038
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5483: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  10. Article: New MEMS Tweezers for the Viscoelastic Characterization of Soft Materials at the Microscale.

    Di Giamberardino, Paolo / Bagolini, Alvise / Bellutti, Pierluigi / Rudas, Imre J / Verotti, Matteo / Botta, Fabio / Belfiore, Nicola P

    Micromachines

    2017  Volume 9, Issue 1

    Abstract: As many studies show, there is a relation between the tissue's mechanical characteristics and some specific diseases. Knowing this relationship would help early diagnosis or microsurgery. In this paper, a new method for measuring the viscoelastic ... ...

    Abstract As many studies show, there is a relation between the tissue's mechanical characteristics and some specific diseases. Knowing this relationship would help early diagnosis or microsurgery. In this paper, a new method for measuring the viscoelastic properties of soft materials at the microscale is proposed. This approach is based on the adoption of a microsystem whose mechanical structure can be reduced to a compliant four bar linkage where the connecting rod is substituted by the tissue sample. A procedure to identify both stiffness and damping coefficients of the tissue is then applied to the developed hardware. Particularly, stiffness is calculated solving the static equations of the mechanism in a desired configuration, while the damping coefficient is inferred from the dynamic equations, which are written under the hypothesis that the sample tissue is excited by a variable compression force characterized by a suitable wave form. The whole procedure is implemented by making use of a control system.
    Language English
    Publishing date 2017-12-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi9010015
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