Jummy david (25 resultados)

Hardcover. Condición: Very Good. 1st ed. 2023. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Condición: Very Good. The copy shows minor scuffs,creases, and marks on the exterior, but is in otherwise clean condition.

Condición: New.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Hardcover. Condición: Brand New. 327 pages. 9.25x6.10x9.21 inches. In Stock.

Gebunden. Condición: New. Introduces readers to basic epidemiology and relevant control and prevention issues of prototypic diseasesProvides a great resource for newcomers in the field to see the real-world applicability of mathematical methodologies Addresses SDG 3.

Taschenbuch. Condición: Neu. Mathematics of Public Health | Mathematical Modelling from the Next Generation | Jummy David (u. a.) | Taschenbuch | Fields Institute Communications | x | Englisch | 2025 | Springer | EAN 9783031408076 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable diseasemodelling technologies of the next generation and disseminating new developments in modelling methodologiesand simulation techniques. These methodologies are important fortraining and research in communicable diseases and can be applied to otherthreats to human health. The contributions contained in this collection/book cover a range ofmodelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume wascompiled from the weekly seminar series organized by the Mathematics for PublicHealth (MfPH) Next Generation Network. This network brings together the nextgeneration of modellers from across Canada and the world, developing the latestmathematical models, modeling methodologies, and analytical and simulation toolsfor communicable diseases of global public health concerns. The weekly seminarseries provides a unique forum for this network and their invited guest speakersto share their perspectives on the status and future directions ofmathematics of public health.…

Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Hardback. Condición: New. 2023 ed. This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health.  The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as:Resource allocationImpact of climate change on communicable diseasesInteraction of human behaviour change, and disease spreadDisease outbreak trajectories projectionPublic health interventions evaluationPreparedness and mitigation of emerging and re-emerging infectious diseases outbreaksDevelopment of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.…

Condición: new. Questo è un articolo print on demand.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable diseasemodelling technologies of the next generation and disseminating new developments in modelling methodologiesand simulation techniques. These methodologies are important fortraining and research in communicable diseases and can be applied to otherthreats to human health. The contributions contained in this collection/book cover a range ofmodelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume wascompiled from the weekly seminar series organized by the Mathematics for PublicHealth (MfPH) Next Generation Network. This network brings together the nextgeneration of modellers from across Canada and the world, developing the latestmathematical models, modeling methodologies, and analytical and simulation toolsfor communicable diseases of global public health concerns. The weekly seminarseries provides a unique forum for this network and their invited guest speakersto share their perspectives on the status and future directions ofmathematics of public health. 332 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable diseasemodelling technologies of the next generation and disseminating new developments in modelling methodologiesand simulation techniques. These methodologies are important fortraining and research in communicable diseases and can be applied to otherthreats to human health. The contributions contained in this collection/book cover a range ofmodelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume wascompiled from the weekly seminar series organized by the Mathematics for PublicHealth (MfPH) Next Generation Network. This network brings together the nextgeneration of modellers from across Canada and the world, developing the latestmathematical models, modeling methodologies, and analytical and simulation toolsfor communicable diseases of global public health concerns. The weekly seminarseries provides a unique forum for this network and their invited guest speakersto share their perspectives on the status and future directions ofmathematics of public health. 332 pp. Englisch.…

Buch. Condición: Neu. Mathematics of Public Health | Mathematical Modelling from the Next Generation | Jummy David (u. a.) | Buch | Fields Institute Communications | x | Englisch | 2023 | Springer | EAN 9783031408045 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable diseasemodelling technologies of the next generation and disseminating new developments in modelling methodologiesand simulation techniques. These methodologies are important fortraining and research in communicable diseases and can be applied to otherthreats to human health. The contributions contained in this collection/book cover a range ofmodelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume wascompiled from the weekly seminar series organized by the Mathematics for PublicHealth (MfPH) Next Generation Network. This network brings together the nextgeneration of modellers from across Canada and the world, developing the latestmathematical models, modeling methodologies, and analytical and simulation toolsfor communicable diseases of global public health concerns. The weekly seminarseries provides a unique forum for this network and their invited guest speakersto share their perspectives on the status and future directions ofmathematics of public health.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as:Resource allocationImpact of climate change on communicable diseasesInteraction of human behaviour change, and disease spreadDisease outbreak trajectories projectionPublic health interventions evaluationPreparedness and mitigation of emerging and re-emerging infectious diseases outbreaksDevelopment of vaccines and decisions around vaccine allocation and optimizationThe diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as:Resource allocationImpact of climate change on communicable diseasesInteraction of human behaviour change, and disease spreadDisease outbreak trajectories projectionPublic health interventions evaluationPreparedness and mitigation of emerging and re-emerging infectious diseases outbreaksDevelopment of vaccines and decisions around vaccine allocation and optimizationThe diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases.This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 332 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.