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  1. Buch ; Online: From the Fermi Scale to Cosmology

    Salvio, Alberto / Sannino, Francesco

    2019  

    Schlagwörter Science: general issues ; Astronomy, space & time ; Higgs ; inflation ; standard model ; Axions ; dark matter ; neutrinos ; Quantum and Classical Gravity
    Umfang 1 electronic resource (265 pages)
    Verlag Frontiers Media SA
    Dokumenttyp Buch ; Online
    Anmerkung English ; Open Access
    HBZ-ID HT021231239
    ISBN 9782889632053 ; 2889632059
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel: The analytic structure of the fixed charge expansion.

    Antipin, Oleg / Bersini, Jahmall / Sannino, Francesco / Torres, Matías

    Journal of high energy physics : JHEP

    2022  Band 2022, Heft 6, Seite(n) 41

    Abstract: We investigate the analytic properties of the fixed charge expansion for a number of conformal field theories in different space-time dimensions. The models investigated here ... ...

    Abstract We investigate the analytic properties of the fixed charge expansion for a number of conformal field theories in different space-time dimensions. The models investigated here are
    Sprache Englisch
    Erscheinungsdatum 2022-06-08
    Erscheinungsland Germany
    Dokumenttyp Journal Article
    ZDB-ID 2027350-2
    ISSN 1029-8479 ; 1126-6708
    ISSN (online) 1029-8479
    ISSN 1126-6708
    DOI 10.1007/JHEP06(2022)041
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Effective mathematical modelling of health passes during a pandemic.

    Hohenegger, Stefan / Cacciapaglia, Giacomo / Sannino, Francesco

    Scientific reports

    2022  Band 12, Heft 1, Seite(n) 6989

    Abstract: We study the impact on the epidemiological dynamics of a class of restrictive measures that are aimed at reducing the number of contacts of individuals who have a higher risk of being infected with a transmittable disease. Such measures are currently ... ...

    Abstract We study the impact on the epidemiological dynamics of a class of restrictive measures that are aimed at reducing the number of contacts of individuals who have a higher risk of being infected with a transmittable disease. Such measures are currently either implemented or at least discussed in numerous countries worldwide to ward off a potential new wave of COVID-19. They come in the form of Health Passes (HP), which grant full access to public life only to individuals with a certificate that proves that they have either been fully vaccinated, have recovered from a previous infection or have recently tested negative to SARS-Cov-2. We develop both a compartmental model as well as an epidemic Renormalisation Group approach, which is capable of describing the dynamics over a longer period of time, notably an entire epidemiological wave. Introducing different versions of HPs in this model, we are capable of providing quantitative estimates on the effectiveness of the underlying measures as a function of the fraction of the population that is vaccinated and the vaccination rate. We apply our models to the latest COVID-19 wave in several European countries, notably Germany and Austria, which validate our theoretical findings.
    Mesh-Begriff(e) COVID-19/epidemiology ; COVID-19/prevention & control ; Humans ; Models, Theoretical ; Pandemics/prevention & control ; SARS-CoV-2 ; Vaccination
    Sprache Englisch
    Erscheinungsdatum 2022-04-28
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-10663-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework.

    Cacciapaglia, Giacomo / Sannino, Francesco

    Scientific reports

    2020  Band 10, Heft 1, Seite(n) 15828

    Abstract: One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping ... ...

    Abstract One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping governments to enforce a number of social and economic measures, apt at curbing the pandemic and dealing with its aftermath. We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported COVID-19 cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations.
    Mesh-Begriff(e) Betacoronavirus ; COVID-19 ; Communicable Disease Control/methods ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Emigration and Immigration/statistics & numerical data ; Europe/epidemiology ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Psychological Distance ; SARS-CoV-2 ; Travel ; United States/epidemiology
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-09-28
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-72175-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing.

    Cot, Corentin / Cacciapaglia, Giacomo / Sannino, Francesco

    Scientific reports

    2021  Band 11, Heft 1, Seite(n) 4150

    Abstract: We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of ...

    Abstract We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20-40% in the infection rate in Europe and 30-70% in the US.
    Mesh-Begriff(e) COVID-19/epidemiology ; COVID-19/prevention & control ; COVID-19/transmission ; Cell Phone/statistics & numerical data ; Cell Phone/trends ; Cell Phone Use/statistics & numerical data ; Cell Phone Use/trends ; Data Mining/methods ; Europe/epidemiology ; Humans ; Mobile Applications/statistics & numerical data ; Mobile Applications/trends ; Pandemics ; Physical Distancing ; Quarantine/statistics & numerical data ; Quarantine/trends ; SARS-CoV-2/isolation & purification ; United States/epidemiology
    Sprache Englisch
    Erscheinungsdatum 2021-02-18
    Erscheinungsland England
    Dokumenttyp 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/s41598-021-83441-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Multiwave pandemic dynamics explained: how to tame the next wave of infectious diseases.

    Cacciapaglia, Giacomo / Cot, Corentin / Sannino, Francesco

    Scientific reports

    2021  Band 11, Heft 1, Seite(n) 6638

    Abstract: Pandemics, like the 1918 Spanish Influenza and COVID-19, spread through regions of the World in subsequent waves. Here we propose a consistent picture of the wave pattern based on the epidemic Renormalisation Group (eRG) framework, which is guided by the ...

    Abstract Pandemics, like the 1918 Spanish Influenza and COVID-19, spread through regions of the World in subsequent waves. Here we propose a consistent picture of the wave pattern based on the epidemic Renormalisation Group (eRG) framework, which is guided by the global symmetries of the system under time rescaling. We show that the rate of spreading of the disease can be interpreted as a time-dilation symmetry, while the final stage of an epidemic episode corresponds to reaching a time scale-invariant state. We find that the endemic period between two waves is a sign of instability in the system, associated to near-breaking of the time scale-invariance. This phenomenon can be described in terms of an eRG model featuring complex fixed points. Our results demonstrate that the key to control the arrival of the next wave of a pandemic is in the strolling period in between waves, i.e. when the number of infections grows linearly. Thus, limiting the virus diffusion in this period is the most effective way to prevent or delay the arrival of the next wave. In this work we establish a new guiding principle for the formulation of mid-term governmental strategies to curb pandemics and avoid recurrent waves of infections, deleterious in terms of human life loss and economic damage.
    Mesh-Begriff(e) COVID-19/epidemiology ; COVID-19/pathology ; COVID-19/virology ; Health Policy ; Humans ; Influenza, Human/epidemiology ; Influenza, Human/pathology ; Models, Theoretical ; Pandemics ; SARS-CoV-2/isolation & purification
    Sprache Englisch
    Erscheinungsdatum 2021-03-23
    Erscheinungsland England
    Dokumenttyp 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/s41598-021-85875-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework

    Cacciapaglia, Giacomo / Sannino, Francesco

    Scientific Reports

    2020  Band 10, Heft 1

    Abstract: Abstract One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in ... ...

    Abstract Abstract One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping governments to enforce a number of social and economic measures, apt at curbing the pandemic and dealing with its aftermath. We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported COVID-19 cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations.
    Schlagwörter Multidisciplinary ; covid19
    Sprache Englisch
    Verlag Springer Science and Business Media LLC
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ZDB-ID 2615211-3
    ISSN 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-020-72175-4
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel: Interplay of social distancing and border restrictions for pandemics (COVID-19) via the epidemic Renormalisation Group framework

    Cacciapaglia, Giacomo / Sannino, Francesco

    Abstract: We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for ... ...

    Abstract We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the simplistic and time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations.
    Schlagwörter covid19
    Verlag ArXiv
    Dokumenttyp Artikel
    Datenquelle COVID19

    Kategorien

  9. Artikel: Interplay of social distancing and border restrictions for pandemics via the epidemic renormalisation group framework

    Cacciapaglia, Giacomo / Sannino, Francesco

    Sci Rep

    Abstract: One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping ... ...

    Abstract One of the biggest threats to humanity are pandemics. In our global society they can rage around the world with an immense toll in terms of human, economic and social impact. Forecasting the spreading of a pandemic is, therefore, paramount in helping governments to enforce a number of social and economic measures, apt at curbing the pandemic and dealing with its aftermath. We demonstrate that the epidemic renormalisation group approach to pandemics provides an effective and simple way to investigate the dynamics of disease transmission and spreading across different regions of the world. The framework also allows for reliable projections on the impact of travel limitations and social distancing measures on global epidemic spread. We test and calibrate it on reported COVID-19 cases while unveiling the mechanism that governs the delay in the relative peaks of newly infected cases among different regions of the globe. We discover that social distancing measures are more effective than travel limitations across borders in delaying the epidemic peak. We further provide the link to compartmental models such as the time-honoured SIR-like models. We also show how to generalise the framework to account for the interactions across several regions of the world, replacing or complementing large scale simulations.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #800839
    Datenquelle COVID19

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  10. Artikel: Renormalisation Group approach to pandemics as a time-dependent SIR model

    Morte, Michele Della / Sannino, Francesco

    Abstract: We generalise the epidemic Renormalisation Group framework while connecting it to a SIR model with time-dependent coefficients. We then confront the model with COVID-19 in Denmark, Germany, Italy and France and show that the approach works rather well in ...

    Abstract We generalise the epidemic Renormalisation Group framework while connecting it to a SIR model with time-dependent coefficients. We then confront the model with COVID-19 in Denmark, Germany, Italy and France and show that the approach works rather well in reproducing the data. We also show that a better understanding of the time dependence of the recovery rate would require extending the model to take into account the number of deaths whenever these are over 15% of the total number of infected cases.
    Schlagwörter covid19
    Verlag ArXiv
    Dokumenttyp Artikel
    Datenquelle COVID19

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