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  1. Article ; Online: A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution.

    Guidotti, Emanuele

    Scientific data

    2022  Volume 9, Issue 1, Page(s) 112

    Abstract: This database provides the daily time-series of COVID-19 cases, deaths, recovered people, tests, vaccinations, and hospitalizations, for more than 230 countries, 760 regions, and 12,000 lower-level administrative divisions. The geographical entities are ... ...

    Abstract This database provides the daily time-series of COVID-19 cases, deaths, recovered people, tests, vaccinations, and hospitalizations, for more than 230 countries, 760 regions, and 12,000 lower-level administrative divisions. The geographical entities are associated with identifiers to match with hydrometeorological, geospatial, and mobility data. The database includes policy measures at the national and, when available, sub-national levels. The data acquisition pipeline is open-source and fully automated. As most governments revise the data retrospectively, the database always updates the complete time-series to mirror the original source. Vintage data, immutable snapshots of the data taken each day, are provided to ensure research reproducibility. The latest data are updated on an hourly basis, and the vintage data are available since April 14, 2020. All the data are available in CSV files or SQLite format. By unifying the access to the data, this work makes it possible to study the pandemic on a global scale with high resolution, taking into account within-country variations, nonpharmaceutical interventions, and environmental and exogenous variables.
    MeSH term(s) COVID-19/epidemiology ; Databases, Factual ; Humans ; Pandemics
    Language English
    Publishing date 2022-03-29
    Publishing country England
    Document type Dataset ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-022-01245-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution

    Emanuele Guidotti

    Scientific Data, Vol 9, Iss 1, Pp 1-

    2022  Volume 7

    Abstract: Measurement(s) cases • deaths • recovered • tests • vaccines • hospitalizations • population Technology Type(s) digital curation • digital curation Sample Characteristic – Organism coronaviridae Sample Characteristic – Location ... ...

    Abstract Measurement(s) cases • deaths • recovered • tests • vaccines • hospitalizations • population Technology Type(s) digital curation • digital curation Sample Characteristic – Organism coronaviridae Sample Characteristic – Location global
    Keywords Science ; Q
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: calculus

    Guidotti, Emanuele

    High Dimensional Numerical and Symbolic Calculus in R

    2020  

    Abstract: The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such as the Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate ... ...

    Abstract The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such as the Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators and numerical integration in arbitrary orthogonal coordinate systems. The library applies numerical methods when working with R functions or symbolic programming when working with characters or expressions. The package handles multivariate numerical calculus in arbitrary dimensions and coordinates and implements the symbolic counterpart of the numerical methods whenever possible, without depending on external computer algebra systems. Except for Rcpp, the package has no strict dependencies in order to provide a stable self-contained toolbox that invites re-use.
    Keywords Computer Science - Mathematical Software ; Mathematics - Numerical Analysis ; 68-04 ; G.4
    Subject code 518
    Publishing date 2020-12-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: COVID-19 Data Hub

    Emanuele Guidotti / David Ardia

    2020  

    Abstract: The goal of COVID-19 Data Hub is to provide the research community with a unified data hub by collecting worldwide fine-grained case data, merged with exogenous variables helpful for a better understanding of COVID-19. ...

    Abstract The goal of COVID-19 Data Hub is to provide the research community with a unified data hub by collecting worldwide fine-grained case data, merged with exogenous variables helpful for a better understanding of COVID-19.
    Keywords COVID-19 ; CORONA ; Data Hub ; R software ; covid19
    Publishing date 2020-07-10
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Article ; Online: Are official confirmed cases and fatalities counts good enough to study the COVID{19 pandemic dynamics? A critical assessment through the case of Italy.

    BARTOSZEK KRZYSZTOF / IACUS STEFANO / GUIDOTTI EMANUELE / OKROJ MARCIN

    2020  

    Abstract: As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed cases and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in ... ...

    Abstract As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed cases and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in perspective to reflect the dynamics of the virus spread. In particular, we find that merely considering the confirmed case counts would be very misleading as the fraction of confirmed cases to total tests is essentially constant through time, meaning that the raw confirmed case counts seem to be assessing the sampling effort. Therefore, calibrating model parameters for this virus's dynamics should not be done based on confirmed case counts, but maybe rather on case fatalities or hospitalization data. Furthermore, reporting statistics on the national level does not say much about the dynamics of the disease, which are taking place at the regional level. In this work we do not fit models but we rather investigate whether this task is possible at all. This work also provides a tool to collect and harmonize official statistics coming from different sources in the form of a package for the R statistical environment and presents the "COVID-19 Data Hub".

    JRC.E.6-Demography, Migration and Governance
    Keywords covid19
    Subject code 612
    Language ENG
    Publishing date 2020-04-24
    Publisher SPRINGER
    Publishing country eu
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy.

    Bartoszek, Krzysztof / Guidotti, Emanuele / Iacus, Stefano Maria / Okrój, Marcin

    Nonlinear dynamics

    2020  Volume 101, Issue 3, Page(s) 1951–1979

    Abstract: As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in ... ...

    Abstract As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in perspective to reflect the dynamics of the virus spread. In particular, we find that merely considering the confirmed case counts would be very misleading. The number of daily tests grows, while the daily fraction of confirmed cases to total tests has a change point. It (depending on region) generally increases with strong fluctuations till (around, depending on region) 15-22 March and then decreases linearly after. Combined with the increasing trend of daily performed tests, the raw confirmed case counts are not representative of the situation and are confounded with the sampling effort. This we observe when regressing on time the logged fraction of positive tests and for comparison the logged raw confirmed count. Hence, calibrating model parameters for this virus's dynamics should not be done based only on confirmed case counts (without rescaling by the number of tests), but take also fatalities and hospitalization count under consideration as variables not prone to be distorted by testing efforts. Furthermore, reporting statistics on the national level does not say much about the dynamics of the disease, which are taking place at the regional level. These findings are based on the official data of total death counts up to 15 April 2020 released by ISTAT and up to 10 May 2020 for the number of cases. In this work, we do not fit models but we rather investigate whether this task is possible at all. This work also informs about a new tool to collect and harmonize official statistics coming from different sources in the form of a package for the R statistical environment and presents the "COVID-19 Data Hub."
    Keywords covid19
    Language English
    Publishing date 2020-06-26
    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/s11071-020-05761-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Artificial Intelligence for Ultrasound Informative Image Selection of Metacarpal Head Cartilage. A Pilot Study.

    Cipolletta, Edoardo / Fiorentino, Maria Chiara / Moccia, Sara / Guidotti, Irene / Grassi, Walter / Filippucci, Emilio / Frontoni, Emanuele

    Frontiers in medicine

    2021  Volume 8, Page(s) 589197

    Abstract: Objectives: ...

    Abstract Objectives:
    Language English
    Publishing date 2021-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2021.589197
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Antibody-independent protection against heterologous SARS-CoV-2 challenge conferred by prior infection or vaccination.

    Fumagalli, Valeria / Ravà, Micol / Marotta, Davide / Di Lucia, Pietro / Bono, Elisa B / Giustini, Leonardo / De Leo, Federica / Casalgrandi, Maura / Monteleone, Emanuele / Mouro, Violette / Malpighi, Chiara / Perucchini, Chiara / Grillo, Marta / De Palma, Sara / Donnici, Lorena / Marchese, Silvia / Conti, Matteo / Muramatsu, Hiromi / Perlman, Stanley /
    Pardi, Norbert / Kuka, Mirela / De Francesco, Raffaele / Bianchi, Marco E / Guidotti, Luca G / Iannacone, Matteo

    Nature immunology

    2024  Volume 25, Issue 4, Page(s) 633–643

    Abstract: Vaccines have reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) morbidity and mortality, yet emerging variants challenge their effectiveness. The prevailing approach to updating vaccines targets the antibody response, operating under ... ...

    Abstract Vaccines have reduced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) morbidity and mortality, yet emerging variants challenge their effectiveness. The prevailing approach to updating vaccines targets the antibody response, operating under the presumption that it is the primary defense mechanism following vaccination or infection. This perspective, however, can overlook the role of T cells, particularly when antibody levels are low or absent. Here we show, through studies in mouse models lacking antibodies but maintaining functional B cells and lymphoid organs, that immunity conferred by prior infection or mRNA vaccination can protect against SARS-CoV-2 challenge independently of antibodies. Our findings, using three distinct models inclusive of a novel human/mouse ACE2 hybrid, highlight that CD8
    MeSH term(s) Humans ; Animals ; Mice ; SARS-CoV-2 ; CD8-Positive T-Lymphocytes ; COVID-19/prevention & control ; Antibodies ; Vaccination ; Vaccines ; Antibodies, Viral ; Antibodies, Neutralizing
    Chemical Substances Antibodies ; Vaccines ; Antibodies, Viral ; Antibodies, Neutralizing
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2016987-5
    ISSN 1529-2916 ; 1529-2908
    ISSN (online) 1529-2916
    ISSN 1529-2908
    DOI 10.1038/s41590-024-01787-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5294: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
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  9. Article ; Online: Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy

    Bartoszek, Krzysztof / Guidotti, Emanuele / Iacus, Stefano Maria / Okrój, Marcin

    Nonlinear Dynamics ; ISSN 0924-090X 1573-269X

    2020  

    Keywords Control and Systems Engineering ; Mechanical Engineering ; Electrical and Electronic Engineering ; Applied Mathematics ; Ocean Engineering ; Aerospace Engineering ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s11071-020-05761-w
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy

    Bartoszek, Krzysztof / Guidotti, Emanuele / Iacus, Stefano Maria / Okr'oj, Marcin

    Abstract: As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in ... ...

    Abstract As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the hardest hit countries, we look at how these two values could be put in perspective to reflect the dynamics of the virus spread. In particular, we find that merely considering the confirmed case counts would be very misleading. The number of daily tests grows, while the daily fraction of confirmed cases to total tests has a change point. It (depending on region) generally increases with strong fluctuations till (around, depending on region) 15th-22nd March and then decreases linearly after. Combined with the increasing trend of daily performed tests, the raw confirmed case counts are not representative of the situation and are confounded with the sampling effort. This we observe when regressing on time the logged fraction of positive tests and for comparison the logged raw confirmed count. Hence, calibrating model parameters for this virus's dynamics should not be done based only on confirmed case counts (without rescaling by the number of tests), but take also fatalities and hospitalization count under consideration as variables not prone to be distorted by testing efforts. Furthermore, reporting statistics on the national level does not say much about the dynamics of the disease, which are taking place at the regional level. These findings are based on the official data of total death counts up to 15th April 2020 released by ISTAT and up to 10th May 2020 for the number of cases. In this work we do not fit models but we rather investigate whether this task is possible at all. This work also informs about a new tool to collect and harmonize official statistics coming from different sources in the form of a package for the R statistical environment and presents the COVID-19 Data Hub.
    Keywords covid19
    Publisher ArXiv
    Document type Article
    Database COVID19

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