| TÃtulo : |
Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact |
| Tipo de documento: |
documento electrónico |
| Autores: |
Agarwal, Praveen, ; Nieto, Juan J., ; Ruzhansky, Michael, ; Torres, Delfim F. M., |
| Mención de edición: |
1 ed. |
| Editorial: |
Singapore [Malasia] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XXIV, 627 p. 253 ilustraciones, 236 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-981-1624506-- |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Modelos matemáticos Medicina Preventiva Promoción de la salud Modelización Matemática y Matemática Industrial Promoción de la salud y prevención de enfermedades |
| Clasificación: |
003.3 |
| Resumen: |
Este volumen editado es una colección de artÃculos de investigación seleccionados que analizan el análisis de enfermedades infecciosas mediante el uso de modelos matemáticos en los últimos tiempos. Dividido en dos partes, el libro ofrece un análisis general y nacional del Covid-19. Se presentan técnicas analÃticas y numéricas para modelos de virus junto con la aplicación de modelos matemáticos en el análisis de sus tasas de propagación y tratamientos. El libro también incluye aplicaciones de ecuaciones diferenciales fraccionarias, asà como ecuaciones ordinarias, parciales e integrodiferenciales con métodos de optimización. También se ha estudiado la distribución de probabilidad y sus aplicaciones biomatemáticas. Este libro es un recurso valioso para investigadores, académicos, biomatemáticos y expertos médicos. |
| Nota de contenido: |
PART-1 GENERAL ANALYSIS: Arni S.R. Srinivasa Rao and Steven G. Krantz:Mathematical Models for Understanding Social Distancing Measures: General Setting and Analysis -- A. Lamrani Alaoui, M. Tilioua, M. R. Sidi and P. Agarwal: Dynamical Analysis of a Caputo Fractional Order SIR Epidemic Model with General Treatment Function -- Zalimkhan Nagoev, Viktor Narozhnov, Arsen Pskhu, and Sergo Rekhviashvili: Protective Face Shield Effectiveness: Mathematical Modelling -- Jonathan Blackledge: The Biodynamics Hypothesis and its Applications for the Mathematical Modelling of Biological Growth and the Analysis of Infectious Diseases -- Saratha Sathasivam, Teoh Poh Lin and Woon Le Yu: Modelling the Dynamics of Fake News Spreading Transmission During COVID-19 Through Social Media -- Renaud Di Francesco: Agent Based Model for COVID-19 Active Propagation Through Interaction: Use Cases of Elderly Care Homes, Households in Lockdown and Large Events -- Emmanuel Afolabi Bakare: Analysis of Optimal Control AgainstAge-Structured Hepatitis-B Virus Model -- Daniele Ritelli: Generalized Logistic Equations in COVID Epidemic Models -- Mohd Aman and Bushra Miftah:Impact on the Transition of Shared Mobility in Metro Cities in India: A Challenge Post-Lockdown of COVID-19 -- Abdelmajid Belafhal, S. Chib and Talha Usman: Analysis of COVID-19 Virus Spreading Statistics by the Use of a New Modified Weibull Distribution -- Redouane Qesmi and Aayah Hammoumi: From Finite to Infinite Dimensional Epidemic Models for COVID-19: Lockdown and Lifting Control Measures -- Malú Grave, Rodrigo Bird Burgos, Lisandro Lovisolo and Americo Cunha Jr: Data-Driven Graphical Analysis of Epidemic Trends -- Hoang Anh Ngo, Thai Nam Hoang and Mehmet Dik: Introduction to the Grey Systems Theory and Its Application in Mathematical Modelling and Pandemic Prediction of COVID-19 -- Mohammad Ali Akour and Shikhar Kumar Sarma: Developing an Intelligent Health Report Generating System -- Nasser Al-Salti, Ibrahim M. ELmojtaba, Maryam AlYahyai, Jaqueline Mesquita and Dayse Pastore: Recent Developments in the Mathematical Modelling and Analysis of Infectious Disease Problems (COVID-19) -- Americo Cunha Jr, Adriano Cortês, Roberto Velho and Rebecca E. Morrison: Uncertainty Quantification in Epidemiological Compartmental Models -- Jorge Fernando Camacho and Cruz Vargas-De-León: Conserved Quantities in Epidemic Systems for the Spread of the Coronavirus Disease -- Rashmi Bhardwaj and Debabrata Datta: Development of Epidemiological Modeling RD_COVID-19 of Coronavirus Infectious Disease and its Numerical Simulation -- Anka Trajkovska Petkoska and Anita Trajkovska: Mediterranean Diet for Boosting Immunity -- Jochen Merker: Rate-Dependent Tipping Phenomena in Compartment Models of Epidemics -- Olumuyiwa James Peter, Tolulope Latunde and Adejimi Adesola Adeniji: Mathematical Modelling and Analysis for Prediction of COVID-19 Transmission and Control -- Alexander Kreinin, Oleksandr Romanko, Rafael Mendoza, Hamed Rasouli, and Curt Burmeister: Analysis of Impact of COVID-19 Pandemic on Financial Markets -- Ferenc A. Bartha, Ferenc A. Bartha, Janos Karsai, Gergely Rost and Tamas Tekeli: The Effects of Symptom-based Testing -- Altaf H. Khan: Challenges in Modeling of an Outbreak's Prediction, Forecasting and Decision Making for Policy Makers -- PART-2 COUNTRY-SPECIFIC ANALYSIS: Iván Area, Juan J. Nieto, Cristiana J. Silva and Delfim F. M. Torres: Optimal Control of COVID-19: A Case Study in Portugal -- Ludmila Kirianova, Temirkhan Aleroev and Vladimir Griguletskiy: The Fractional Diffusion Equation as a Mathematical Model of Morbidity and Mortality Rates in the Russian Federation -- Juan E. Santos, Jose M. Carcione, Gabriela B. Savioli and Patricia M. Gauzellino: An SEIR Epidemic Model of Fractional Order to Analyze the Evolution of the COVID-19 Epidemic in Argentina -- Su Yean Teh and Hock Lye Koh: Modeling Effectiveness of Partial Lockdown in Breaking COVID-19 Transmission Chain in Malaysia -- G. Bhuju, G. R. Phaijoo and D. B. Gurung: Mathematical Analysis of COVID-19 in Nepal -- Subhas Khajanchi, Kankan Sarkar and Sandip Banerjee: Transmission Dynamics of the COVID-19 Outbreak and Implementation of Intervention Strategies in India -- Alya Saif Al Shehhia, Abdessamad Tridanea, Sabir Bin Muzaffarb and Gulfaraz Khan: Systematic Review of the Mathematical Modeling of Coronaviruses in the Middle East -- Hasan Soyler: Dynamic Simulation and Scenario Analysis of Spreading COVID-19 Pandemic in Turkey. |
| Tipo de medio : |
Computadora |
| Summary : |
This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact [documento electrónico] / Agarwal, Praveen, ; Nieto, Juan J., ; Ruzhansky, Michael, ; Torres, Delfim F. M., . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XXIV, 627 p. 253 ilustraciones, 236 ilustraciones en color. ISBN : 978-981-1624506-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Modelos matemáticos Medicina Preventiva Promoción de la salud Modelización Matemática y Matemática Industrial Promoción de la salud y prevención de enfermedades |
| Clasificación: |
003.3 |
| Resumen: |
Este volumen editado es una colección de artÃculos de investigación seleccionados que analizan el análisis de enfermedades infecciosas mediante el uso de modelos matemáticos en los últimos tiempos. Dividido en dos partes, el libro ofrece un análisis general y nacional del Covid-19. Se presentan técnicas analÃticas y numéricas para modelos de virus junto con la aplicación de modelos matemáticos en el análisis de sus tasas de propagación y tratamientos. El libro también incluye aplicaciones de ecuaciones diferenciales fraccionarias, asà como ecuaciones ordinarias, parciales e integrodiferenciales con métodos de optimización. También se ha estudiado la distribución de probabilidad y sus aplicaciones biomatemáticas. Este libro es un recurso valioso para investigadores, académicos, biomatemáticos y expertos médicos. |
| Nota de contenido: |
PART-1 GENERAL ANALYSIS: Arni S.R. Srinivasa Rao and Steven G. Krantz:Mathematical Models for Understanding Social Distancing Measures: General Setting and Analysis -- A. Lamrani Alaoui, M. Tilioua, M. R. Sidi and P. Agarwal: Dynamical Analysis of a Caputo Fractional Order SIR Epidemic Model with General Treatment Function -- Zalimkhan Nagoev, Viktor Narozhnov, Arsen Pskhu, and Sergo Rekhviashvili: Protective Face Shield Effectiveness: Mathematical Modelling -- Jonathan Blackledge: The Biodynamics Hypothesis and its Applications for the Mathematical Modelling of Biological Growth and the Analysis of Infectious Diseases -- Saratha Sathasivam, Teoh Poh Lin and Woon Le Yu: Modelling the Dynamics of Fake News Spreading Transmission During COVID-19 Through Social Media -- Renaud Di Francesco: Agent Based Model for COVID-19 Active Propagation Through Interaction: Use Cases of Elderly Care Homes, Households in Lockdown and Large Events -- Emmanuel Afolabi Bakare: Analysis of Optimal Control AgainstAge-Structured Hepatitis-B Virus Model -- Daniele Ritelli: Generalized Logistic Equations in COVID Epidemic Models -- Mohd Aman and Bushra Miftah:Impact on the Transition of Shared Mobility in Metro Cities in India: A Challenge Post-Lockdown of COVID-19 -- Abdelmajid Belafhal, S. Chib and Talha Usman: Analysis of COVID-19 Virus Spreading Statistics by the Use of a New Modified Weibull Distribution -- Redouane Qesmi and Aayah Hammoumi: From Finite to Infinite Dimensional Epidemic Models for COVID-19: Lockdown and Lifting Control Measures -- Malú Grave, Rodrigo Bird Burgos, Lisandro Lovisolo and Americo Cunha Jr: Data-Driven Graphical Analysis of Epidemic Trends -- Hoang Anh Ngo, Thai Nam Hoang and Mehmet Dik: Introduction to the Grey Systems Theory and Its Application in Mathematical Modelling and Pandemic Prediction of COVID-19 -- Mohammad Ali Akour and Shikhar Kumar Sarma: Developing an Intelligent Health Report Generating System -- Nasser Al-Salti, Ibrahim M. ELmojtaba, Maryam AlYahyai, Jaqueline Mesquita and Dayse Pastore: Recent Developments in the Mathematical Modelling and Analysis of Infectious Disease Problems (COVID-19) -- Americo Cunha Jr, Adriano Cortês, Roberto Velho and Rebecca E. Morrison: Uncertainty Quantification in Epidemiological Compartmental Models -- Jorge Fernando Camacho and Cruz Vargas-De-León: Conserved Quantities in Epidemic Systems for the Spread of the Coronavirus Disease -- Rashmi Bhardwaj and Debabrata Datta: Development of Epidemiological Modeling RD_COVID-19 of Coronavirus Infectious Disease and its Numerical Simulation -- Anka Trajkovska Petkoska and Anita Trajkovska: Mediterranean Diet for Boosting Immunity -- Jochen Merker: Rate-Dependent Tipping Phenomena in Compartment Models of Epidemics -- Olumuyiwa James Peter, Tolulope Latunde and Adejimi Adesola Adeniji: Mathematical Modelling and Analysis for Prediction of COVID-19 Transmission and Control -- Alexander Kreinin, Oleksandr Romanko, Rafael Mendoza, Hamed Rasouli, and Curt Burmeister: Analysis of Impact of COVID-19 Pandemic on Financial Markets -- Ferenc A. Bartha, Ferenc A. Bartha, Janos Karsai, Gergely Rost and Tamas Tekeli: The Effects of Symptom-based Testing -- Altaf H. Khan: Challenges in Modeling of an Outbreak's Prediction, Forecasting and Decision Making for Policy Makers -- PART-2 COUNTRY-SPECIFIC ANALYSIS: Iván Area, Juan J. Nieto, Cristiana J. Silva and Delfim F. M. Torres: Optimal Control of COVID-19: A Case Study in Portugal -- Ludmila Kirianova, Temirkhan Aleroev and Vladimir Griguletskiy: The Fractional Diffusion Equation as a Mathematical Model of Morbidity and Mortality Rates in the Russian Federation -- Juan E. Santos, Jose M. Carcione, Gabriela B. Savioli and Patricia M. Gauzellino: An SEIR Epidemic Model of Fractional Order to Analyze the Evolution of the COVID-19 Epidemic in Argentina -- Su Yean Teh and Hock Lye Koh: Modeling Effectiveness of Partial Lockdown in Breaking COVID-19 Transmission Chain in Malaysia -- G. Bhuju, G. R. Phaijoo and D. B. Gurung: Mathematical Analysis of COVID-19 in Nepal -- Subhas Khajanchi, Kankan Sarkar and Sandip Banerjee: Transmission Dynamics of the COVID-19 Outbreak and Implementation of Intervention Strategies in India -- Alya Saif Al Shehhia, Abdessamad Tridanea, Sabir Bin Muzaffarb and Gulfaraz Khan: Systematic Review of the Mathematical Modeling of Coronaviruses in the Middle East -- Hasan Soyler: Dynamic Simulation and Scenario Analysis of Spreading COVID-19 Pandemic in Turkey. |
| Tipo de medio : |
Computadora |
| Summary : |
This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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