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The Geographies of COVID-19, Laituri


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Автор: Laituri
Название:  The Geographies of COVID-19
ISBN: 9783031117749
Издательство: Springer
Классификация:



ISBN-10: 3031117743
Обложка/Формат: Hardback
Страницы: 300
Вес: 0.73 кг.
Дата издания: 15.11.2022
Серия: Global Perspectives on Health Geography
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 48 tables, color; 51 illustrations, color; 6 illustrations, black and white; xxxi, 300 p. 57 illus., 51 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Geospatial stories of a global pandemic
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume of case studies focuses on the geographies of COVID-19 around the world. These geographies are located in both time and space concentrating on both first- and second-order impacts of the COVID-19 pandemic. First-order impacts are those associated with the immediate response to the pandemic that include tracking number of deaths and cases, testing, access to hospitals, impacts on essential workers, searching for the origins of the virus and preventive treatments such as vaccines and contact tracing. Second-order impacts are the result of actions, practices, and policies in response to the spread of the virus, with longer-term effects on food security, access to health services, loss of livelihoods, evictions, and migration. Further, the COVID-19 pandemic will be prolonged due to the onset of variants as well as setting the stage for similar future events. This volume provides a synopsis of how geography and geospatial approaches are used to understand this event and the emerging “new normal.” The volumes approach is necessarily selective due to the global reach of the pandemic and the broad sweep of second-order impacts where important issues may be left out. However, the book is envisioned as the prelude to an extended conversation about adaptation to complex circumstances using geospatial tools. Using case studies and examples of geospatial analyses, this volume adopts a geographic lens to highlight the differences and commonalities across space and time where fundamental inequities are exposed, the governmental response is varied, and outcomes remain uncertain. This moment of global collective experience starkly reveals how inequality is ubiquitous and vulnerable populations – those unable to access basic needs – are increasing. This place-based approach identifies how geospatial analyses and resulting maps depict the pandemic as it ebbs and flows across the globe. Data-driven decision making is needed as we navigate the pandemic and determine ways to address future such events to enable local and regional governments in prioritizing limited resources to mitigate the long-term consequences of COVID-19.
Дополнительное описание: Chapter 1. How covid changed our daily geographies.- Chapter 2. Geography of the pandemic.- Chapter 3. Defining first- and second-order impacts through maps.- Chapter 4. Quantitative geographical approaches in COVID-19 research: A review on first- and sec


Bayesian analysis of infectious diseases

Автор: Broemeling, Lyle D.
Название: Bayesian analysis of infectious diseases
ISBN: 0367633868 ISBN-13(EAN): 9780367633868
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic.

Fractional Stochastic Differential Equations: Applications to Covid-19 Modeling

Автор: Atangana Abdon, İgret Araz Seda
Название: Fractional Stochastic Differential Equations: Applications to Covid-19 Modeling
ISBN: 9811907285 ISBN-13(EAN): 9789811907289
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels.

Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy

Автор: Casti Emanuela, Adobati Fulvio, Negri Ilia
Название: Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy
ISBN: 0323910610 ISBN-13(EAN): 9780323910613
Издательство: Elsevier Science
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Цена: 123520.00 T
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Описание:

Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy provides a theoretical-methodological framework based on space-time analysis to map and interpret the set of factors that could have contributed to the spread of COVID-19, as well as a reflexive cartographic mapping visualizing the virus's dynamics. After an introduction that constitutes the theoretical anchor of the work carried out both with respect to territorial analysis and the use of reflexive cartography, the book discusses the role played by reflexive cartography in research on the COVID-19 pandemic conducted by an Italian university working group dealing with reticularity and the territorial fragilities that have influenced the spread. The data, subjected to analysis, are translated into reflexive cartography as a tool for restitution and investigation of the territorial dynamics. Each chapter consists of detailed information in which the European context of data analysis is illustrated, to then investigate the Italian territory and focus on the case of Lombardy and, in particular, of Bergamo as the epicenter. The book addresses the theoretical and methodological approaches of mapping the epidemic in Italy and the importance of cartography in the outbreak response, as well as including data accounting for contributing factors such as atmospheric pollution and infection rate, population distribution and major mobility corridors, and measures adopted to contain the outbreak, by implementing mapping at the regional Lombard, national, and European levels.

Mapping the Epidemic: A Systemic Geography of COVID-19 in Italy uses an interdisciplinary approach that highlights the key role of geography and cartography in providing usable data and conclusions on the virus outbreak and will be valuable for researchers and professionals in the fields of geography, GIS, and spatial mapping, as well as statisticians working on mapping outbreaks and epidemiological scientists needing mapping data on the virus.

  • Details reflexive mapping of the COVID pandemic, giving an interpretation that explains the epidemic's variable complexity and visualizes it
  • Provides a space-time approach, based on a database from the beginning of the Italian emergence to the decline phase, showing the virus spread intensity and speed in relation to socio-territorial factors
  • Is complementary to studies carried out in the biomedical domain, referring to the results of these studies in an original and innovative way, envisaged through cybercartography

Mediated Geographies and Geographies of Media

Автор: Susan P. Mains; Julie Cupples; Chris Lukinbeal
Название: Mediated Geographies and Geographies of Media
ISBN: 9401779287 ISBN-13(EAN): 9789401779289
Издательство: Springer
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Цена: 231990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Section 1: Introducing Mediated Geographies and Geographies of Media.- Chapter 1. Introducing Mediated Geographies and Geographies of Media.- Chapter 2. Film Geography: A Review and Prospectus.- Chapter 3. TV and the Spaces of Everyday Life.- Chapter 4. Cultural industries and the (geographical) political economy of the media.- Chapter 5. A Brief History of Mediated, Sensational and Virtual Geographies.- Section 2: Media Production and Place.- Chapter 6. Chinese Cinema Cities: From the Margins to the Middle Kingdom.- Chapter 7. US Television Travels Abroad: Global TV and the Formatting Trend.- Chapter 8. Geographies of the News.- Chapter 9. Remember the Alamo: A Place of Cinematic Experience.- Section 3: Transforming Geospatial Technologies and Media Cartographies.- Chapter 10. Vertical Mediation: Geospatial Imagery and the US Wars in Afghanistan and Iraq.- Chapter 11. The Digital Globe and New Mediations of the Environment.- Chapter 12. GIS as Media through the Geoweb.- Chapter 13. GIS as Media?.- Chapter 14. Crowd-Sourced Augmented Realities: Social Media and the Power of Digital Representation.- Section 4: Placing New Media Platforms.- Chapter 15. Science blogging below-the-line: a progressive sense of place?.- Chapter 16. From Webcams to Facebook: Gay/Queer Men and the Performance of Situatedness-in-Displacement.- Chapter 17. Placing Satellite Radio in the Contemporary Radio Landscape.- Section 5: Image/Imagining Media Events and Spaces.- Chapter 18. Visibility, Media Events and Convergence Culture: Struggles for the Meaning of 9/11.- Chapter 19. The Case of the Missing Laureate: The Communication Geography of the 2010 Nobel Peace Prize.- Chapter 20. From Bolt to Brand: Olympic Celebrations, Tourist Destinations and Media Landscapes .- Section 6: Transnational Media Production and Consumption.- Chapter 20. Development communication, popular pleasure and media convergence.- Chapter 21. Indigenous Media: Linking the Local, Translocal, Global and Virtual.- Chapter 22. Salsation: Affective Encounters and the Right to the City.- Section 7: Media Practices and Pedagogies.- Chapter 23. Mediated Geographies Across Arizona: Learning Literacy Skills through Filmmaking.- Chapter 24. Indigenous Media and Postcolonial Pedagogy.- Chapter 25. Owning and sharing experiences of adventure: tourism, video and editing practices.- Chapter 26. List of Contributors.

Mapping Different Geographies

Автор: Karel Kriz; William Cartwright; Lorenz Hurni
Название: Mapping Different Geographies
ISBN: 3642265030 ISBN-13(EAN): 9783642265037
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the many arenas in which a variety of `geographies` are being specified and mapped. It provides examples of new theories now being developed as well as the practical mapping applications that are used to represent these geographies.

Data analytics for coronavirus disease (covid-19) outbreak

Автор: Shinde, Gitanjali Rahul (department Of Computer Engineering, Stes`s, Smt. Kashibai Navale College Of Engineering, Pune, India) Kalamkar, Asmita Balasa
Название: Data analytics for coronavirus disease (covid-19) outbreak
ISBN: 0367558467 ISBN-13(EAN): 9780367558468
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.

Understanding Different Geographies

Автор: Karel Kriz; William Cartwright; Michaela Kinberger
Название: Understanding Different Geographies
ISBN: 3662521997 ISBN-13(EAN): 9783662521991
Издательство: Springer
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Цена: 113180.00 T
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Описание: These revised papers from the eponymous symposium held in Austria in 2011 detail the latest transdisciplinary techniques for mapping non-physical and non-human geographies. The subjects range from maps in exhibition spaces to interpreting mapped data.

Mathematical Analysis for Transmission of COVID-19

Автор: Shah Nita H., Mittal Mandeep
Название: Mathematical Analysis for Transmission of COVID-19
ISBN: 9813362669 ISBN-13(EAN): 9789813362666
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19.

Decision Sciences for COVID-19: Learning Through Case Studies

Автор: Hassan Said Ali, Mohamed Ali Wagdy, Alnowibet Khalid Abdulaziz
Название: Decision Sciences for COVID-19: Learning Through Case Studies
ISBN: 3030870189 ISBN-13(EAN): 9783030870188
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part 1: Artificial Intelligence.- 1. Application of Artificial Intelligence and Big Data for Fighting COVID-19 Pandemic.- 2. An IOT-Based COVID-19 Detector Using K-Nearest Neighbour.- 3. Predictive Analytics for Early Detection of COVID-19 by Fuzzy Logic.- 4. Role of Artificial Intelligence in Diagnosis of Covid-19 Using CT-Scan.- 5. Predicting the Pandemic Effect of COVID 19 on the Nigeria Economic, Crude Oil as a Measure Parameter Using Machine Learning.- Part II: Forecasting Techniques.- 6. Time Series Analysis and Forecast of COVID19 Pandemic.- 7. Forecasting COVID-19 pandemic with machine learning models in Nigeria.- 8. Nigerian COVID-19 Incidence Modelling and Forecasting with Univariate Time Model.- 9. Predicting the Spread of COVID-19 in Africa Using Facebook Prophet, Polynomial Regression and SIR Model.- 10. Comparing Predictive Accuracy of COVID-19 Prediction Models: A Case Study.- Part 3: Social Sciences.- 11. Akaike's Information Criteria (AIC) Algorithm for the Student Entrepreneurial Intention in Covid-19 Pandemic.- 12. Sentiment Analysis for COVID vaccinations using Twitter - Text Clustering of Positive and Negative Sentiments.- 13. Participation and Active Contribution of Private Universities in the Prevention of the COVID-19 Pandemic Transmission.- 14. Effects on Mental Health by the Coronavirus Disease 2019 (COVID-19) Pandemic Outbreak.- 15. Multimodal Analysis of Cognitive and Social Psychology Effects of COVID 19 Victims.- 16. Public Transport Passenger's Density Estimation Tool for Supporting Policy Responses for COVID-19.- Part 4: Optimization Techniques.- 17. A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases.- 18. Hyper-Parameters Optimization of Deep Convolutional Neural Network for Detecting COVID-19 Using Differential Evolution.- Part 5: Data Science.- 19. Quality Design for COVID-19 Pandemic: Web Scraping Technique on Text Comments and Quality Ratings Using Multiple Online Sources.- 20. Data Science Models for Short-Term Forecast of Covid-19 Spread in Nigeria.- Part 6: COVID-19 Detection.- 21. Attention based Residual Learning Network for COVID-19 Detection Using Chest CT Images.- 22. COVID-19 Face Mask Detection Using CNN and Transfer Learning.- 23. LASSO-DT Based Classification Technique for Discovery of COVID-19 Disease Using Chest X-Ray Images.- Part 7: Economy.- 24. Economic Policies for the COVID-19 Pandemic: Lessons from the Great Recession.- 25. QOL Barometer for the Wellbeing of Citizens: Leverages during Critical Emergencies & Pandemic Disasters.

Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis

Автор: Pani Subhendu Kumar, Dash Sujata, Dos Santos Wellington
Название: Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
ISBN: 303079752X ISBN-13(EAN): 9783030797522
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic

Pramit Pandit, K. N. Krishnamurthy and Bishvajit Bakshi

Chapter 2: COVID-19 TravelCover: Post-lockdown Smart Transportation Management System for COVID-19

Sandeep Tiwari, Hari Mohan Rai, Barnini Goswami, Shreya Majumdar, Kajal Gupta

Chapter 3: Diverse techniques applied for effective diagnosis of COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 4: A Review on Detection of Covid-19 Patients using Deep Learning Techniques

Babita Majhi, Rahul Thangeda, Ritanjali Majhi

Chapter 5: Internet of Health Things (IoHT) for COVID 19

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 6: Diagnosis for COVID-19

Ashish Tripathi, Anand Bhushan Pandey, Arun Kumar Singh, K. K. Mishra, Prem Chand Vashist

Chapter 7: IoT in Combating Covid 19 Pandemics: Lessons for Developing Countries

Oyekola Peter, Suchismita Swain, Kamalakanta Muduli, Adimuthu Ramasamy

Chapter 8: Machine learning approaches for COVID 19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 9: Smart sensing for COVID 19 Pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 10: eHealth, mHealth and Telemedicine for COVID-19 pandemic

Charles Oluwaseun Adetunji, Olugbemi Tope Olaniyan, Olulope Olufemi Ajayi, Osikemekha Anthony Anani, Ruth Ebunoluwa Bodunrinde, Abel Inobeme

Chapter 11: Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters

Arianne Sarmento Torcate, Flбvio Secco Fonseca, Antфnio Ravely. T. Lima, Flaviano Palmeira Santos, Tбssia D. Muniz S. Oliveira, Maнra Araъjo de Santana, Juliana Carneiro Gomes, Clarisse Lins de Lima, Valter Augusto de Freitas Barbosa, Ricardo Emmanuel de Souza, Wellington Pinheiro dos Santos

Chapter 12: Bioinformatics in Diagnosis of Covid-19

Sanjana Sharma, Saanya Aroura, Archana Gupta, Anjali Priyadarshini

Chapter 13: Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques

Bhimavarapu Usharani

Chapter 14: LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data

Sitanath Biswas, Sujata Dash

Chapter 15: An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning

Maнra Araъjo de Santana, Juliana Carneiro Gomes, Valter Augusto de Freitas Barbosa, Clarisse Lins de Lima, Jonathan Bandeira, Mкuser Jorge Silva Valenзa, Ricardo Emmanuel de Souza, Aras Ismael Masood, Wellington Pinheiro dos Santos

Chapter 16: Analysis of Blockchain Backed Covid19 Data

Tadepalli Sarada Kiranmayee, Ruppa K. Thulasiram

Chapter 17: Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting: a contribution and a brief review

Clarisse Lins de Lima, Ana Clara Gomes da Silva, Cecilia Cordeiro da Silva, Giselle Machado Magalhгes Moreno, Abel Guilhermino da

Mathematical Analysis for Transmission of Covid-19

Автор: Shah Nita H., Mittal Mandeep
Название: Mathematical Analysis for Transmission of Covid-19
ISBN: 9813362634 ISBN-13(EAN): 9789813362635
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19.

Fractional Stochastic Differential Equations

Автор: Atangana
Название: Fractional Stochastic Differential Equations
ISBN: 9811907315 ISBN-13(EAN): 9789811907319
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels. The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.


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