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Spatial Agent Based Simulation Modeling In Public Health


Spatial Agent Based Simulation Modeling In Public Health
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Spatial Agent Based Simulation Modeling In Public Health


Spatial Agent Based Simulation Modeling In Public Health
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Author : S. M. Niaz Arifin
language : en
Publisher: John Wiley & Sons
Release Date : 2016-04-11

Spatial Agent Based Simulation Modeling In Public Health written by S. M. Niaz Arifin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-11 with Medical categories.


Presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis Bridging the gap between agent-based modeling and simulation (ABMS) and geographic information systems (GIS), Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual and biological core model of Anopheles gambiae for malaria epidemiology. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, the authors discuss how to most effectively integrate spatial ABMs with a GIS. The book concludes with a combination of knowledge from entomological, epidemiological, simulation-based, and geo-spatial domains in order to identify and analyze relationships between various transmission variables of the disease. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology also features: Location-specific mosquito abundance maps that play an important role in malaria control activities by guiding future resource allocation for malaria control and identifying hotspots for further investigation Discussions on the best modeling practices in an effort to achieve improved efficacy, cost-effectiveness, ecological soundness, and sustainability of vector control for malaria An overview of the various ABMs, GIS, and spatial statistical methods used in entomological and epidemiological studies, as well as the model malaria study A companion website with computer source code and flowcharts of the spatial ABM and a landscape generator tool that can simulate landscapes with varying spatial heterogeneity of different types of resources including aquatic habitats and houses Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology is an excellent reference for professionals such as modeling and simulation experts, GIS experts, spatial analysts, mathematicians, statisticians, epidemiologists, health policy makers, as well as researchers and scientists who use, manage, or analyze infectious disease data and/or infectious disease-related projects. The book is also ideal for graduate-level courses in modeling and simulation, bioinformatics, biostatistics, public health and policy, and epidemiology.



Spatial Agent Based Simulation Modeling In Public Health


Spatial Agent Based Simulation Modeling In Public Health
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Author : S.M. Niaz Arifin
language : en
Publisher:
Release Date : 2016

Spatial Agent Based Simulation Modeling In Public Health written by S.M. Niaz Arifin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with MEDICAL categories.




Neighborhoods And Health


Neighborhoods And Health
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Author : Dustin T. Duncan
language : en
Publisher: Oxford University Press
Release Date : 2018-03-28

Neighborhoods And Health written by Dustin T. Duncan and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-28 with Medical categories.


THE GROUNDBREAKING, FORMATIVE WORK IN SPATIAL EPIDEMIOLOGY -- NOW UPDATED FOR A NEW GENERATION OF RESEARCH AND PRACTICE IN PUBLIC HEALTH In 2003, Neighborhoods and Health codified the idea that a neighborhood's social and physical makeup can influence the health of people who live in it. More than a decade later, with the relationship between place and health firmly entrenched at the center of how we understand public health (and as its own scientific discipline, spatial epidemiology), this second edition of the landmark text offers another giant leap forward for the field. Offering both a synthesis of the essential research and a practical overview of the methods used to garner it, the second edition of Neighborhoods and Health is the essential guide to understanding this core component of contemporary population health -- both the journey to date and what's next.



Systems Science And Population Health


Systems Science And Population Health
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Author : Abdulrahman M. El-Sayed
language : en
Publisher: Oxford University Press
Release Date : 2017-02-01

Systems Science And Population Health written by Abdulrahman M. El-Sayed and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-01 with Medical categories.


Population health is complex and multileveled, encompassing dynamic interactions between cells, societies, and everything in between. Our typical approach to studying population health, however, remains oriented around a reductionist approach to conceptualizing, empirically analyzing, and intervening to improve population health. The trouble is that interventions founded on simplifying a complex world often do not work, sometimes yielding failure or, even worse, harm. The difficult truth is that "silver bullet" health science often fails, and understanding these failures can help us improve our approach to health science, and, ultimately, population health. SYSTEMS SCIENCE AND POPULATION HEALTH employs principles from across a range of sciences to refine the way we understand population health. By augmenting traditional analytic approaches with new tools like machine learning, microsimulation, and social network analysis, population health can be studied as a dynamic and complex system. This allows us to understand population health as a complex whole, offering new insights and perspectives that stand to improve the health of the public. This text offers the first educational and practical guide to this forward-thinking approach. Comprising 17 chapters from the vanguard of population health, epidemiology, computer science, and medicine, this book offers a three-part introduction to the subject: · An intellectual and conceptual history of systems science as it intersects with population health · Concise, introductory overviews of important and emerging methodological tools in systems science, including systems dynamics, agent-based modeling, microsimulation, social network analysis, and machine-learning-all with relevant examples drawn from population health literature · An exploration of future implications for systems science and its applications to our understanding of population health issues For researchers, students, and practitioners, SYSTEMS SCIENCE AND POPULATION HEALTH redefines many of the foundational elements of how we understand population health. It should not be missed.



Distributed Computing And Artificial Intelligence 16th International Conference Special Sessions


Distributed Computing And Artificial Intelligence 16th International Conference Special Sessions
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Author : Enrique Herrera-Viedma
language : en
Publisher: Springer
Release Date : 2019-06-25

Distributed Computing And Artificial Intelligence 16th International Conference Special Sessions written by Enrique Herrera-Viedma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-25 with Computers categories.


This book presents the outcomes of the special sessions of the 16th International Conference on Distributed Computing and Artificial Intelligence 2019, a forum that brought together ideas, projects and lessons associated with distributed computing and artificial intelligence, and their applications in various areas. Artificial intelligence is currently transforming our society. Its application in distributed environments, such as the internet, electronic commerce, environmental monitoring, mobile communications, wireless devices, and distributed computing, to name but a few, is continuously increasing, making it an element of high added value and tremendous potential. These technologies are changing constantly as a result of the extensive research and technical efforts being pursued at universities and businesses alike. The exchange of ideas between scientists and technicians from both the academic and industrial sectors is essential to facilitating the development of systems that can meet the ever-growing demands of today’s society. This year’s technical program was characterized by high quality and diversity, with contributions in both well-established and evolving areas of research. More than 120 papers were submitted to the main and special sessions tracks from over 20 different countries (Algeria, Angola, Austria, Brazil, Colombia, France, Germany, India, Italy, Japan, the Netherlands, Oman, Poland, Portugal, South Korea, Spain, Thailand, Tunisia, the United Kingdom and United States), representing a truly “wide area network” of research activity. The symposium was jointly organized by the Osaka Institute of Technology and the University of Salamanca. This year’s event was held in Avila, Spain, from 26th to 28th June, 2019. The authors wish to thank the sponsors: the IEEE Systems Man and Cybernetics Society, Spain Section Chapter and the IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA, APPIA and AIR institute.



Analyzing And Modeling Spatial And Temporal Dynamics Of Infectious Diseases


Analyzing And Modeling Spatial And Temporal Dynamics Of Infectious Diseases
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Author : Dongmei Chen
language : en
Publisher: John Wiley & Sons
Release Date : 2014-12-31

Analyzing And Modeling Spatial And Temporal Dynamics Of Infectious Diseases written by Dongmei Chen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-31 with Medical categories.


Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis Given the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features mathematical and spatial modeling approaches that integrate applications from various fields such as geo-computation and simulation, spatial analytics, mathematics, statistics, epidemiology, and health policy. In addition, the book captures the latest advances in the use of geographic information system (GIS), global positioning system (GPS), and other location-based technologies in the spatial and temporal study of infectious diseases. Highlighting the current practices and methodology via various infectious disease studies, Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features: Approaches to better use infectious disease data collected from various sources for analysis and modeling purposes Examples of disease spreading dynamics, including West Nile virus, bird flu, Lyme disease, pandemic influenza (H1N1), and schistosomiasis Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation based on human mobility An overview of different mathematical, statistical, spatial modeling, and geo-simulation techniques Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases is an excellent resource for researchers and scientists who use, manage, or analyze infectious disease data, need to learn various traditional and advanced analytical methods and modeling techniques, and become aware of different issues and challenges related to infectious disease modeling and simulation. The book is also a useful textbook and/or supplement for upper-undergraduate and graduate-level courses in bioinformatics, biostatistics, public health and policy, and epidemiology.



New Horizons In Modeling And Simulation For Social Epidemiology And Public Health


New Horizons In Modeling And Simulation For Social Epidemiology And Public Health
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Author : Daniel Kim
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-28

New Horizons In Modeling And Simulation For Social Epidemiology And Public Health written by Daniel Kim and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-28 with Medical categories.


An introduction to state-of-the-art modeling and simulation approaches for social and economic determinants of population health New Horizons in Modeling and Simulation for Social Epidemiology and Public Health offers a comprehensive introduction to modeling and simulation that addresses the many complex research questions in social epidemiology and public health. This book highlights a variety of practical applications and illustrative examples with a focus on modeling and simulation approaches for the social and economic determinants of population health. The book contains classic case examples in agent-based modeling (ABM) as well as essential information on ABM applications to public health including for infectious disease modeling, obesity, and tobacco control. This book also surveys applications of microsimulation (MSM) including of tax-benefit policies to project impacts of the social determinants of health. Specifically, this book: Provides an overview of the social determinants of health and the public health significance of addressing the social determinants of health Gives a conceptual foundation for the application of ABM and MSM to study the social determinants of health Offers methodological introductions to both ABM and MSM approaches with illustrative examples Includes cutting-edge systematic reviews of empirical applications of ABM and MSM in the social sciences, social epidemiology, and public health Discusses future directions for empirical research using ABM and MSM, including integrating aspects of both ABM and MSM and implications for public health policies Written for a broad audience of policy analysts, public planners, and researchers and practitioners in public health and public policy including social epidemiologists, New Horizons in Modeling and Simulation for Social Epidemiology and Public Health offers a fundamental guide to the social determinants of health and state-of-the-art applications of ABM and MSM to studying the social and economic determinants of population health.



Spatial Microsimulation With R


Spatial Microsimulation With R
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Author : Robin Lovelace
language : en
Publisher: CRC Press
Release Date : 2017-09-07

Spatial Microsimulation With R written by Robin Lovelace and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Computers categories.


Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex BehaviorsThe book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own DataFull of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.



Mathematical Analysis Of Infectious Diseases


Mathematical Analysis Of Infectious Diseases
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Author : Praveen Agarwal
language : en
Publisher: Academic Press
Release Date : 2022-06-01

Mathematical Analysis Of Infectious Diseases written by Praveen Agarwal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Science categories.


Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses. - Offers analytical and numerical techniques for virus models - Discusses mathematical modeling and its applications in treating infectious diseases or analyzing their spreading rates - Covers the application of differential equations for analyzing disease problems - Examines probability distribution and bio-mathematical applications



Urban Public Health


Urban Public Health
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Author : Gina S. Lovasi
language : en
Publisher: Oxford University Press
Release Date : 2020-09-10

Urban Public Health written by Gina S. Lovasi and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Medical categories.


Today, we know cities as shared spaces with the potential to both threaten and promote human health: while urban areas are known to amplify the transmission of epidemics like Ebola, urban residency is also associated with longer, healthier lives. Modern cities encompass a wide ecology of infrastructures, institutions and services that impact health, from access to improved sanitation and early childhood education to the design of buildings and transportation systems. So how has this centuries-long transformation in human settlement affected the mindset surrounding public health research and practice? Urban Public Health is an interdisciplinary collaboration from experts across the globe that approaches the issue of urban health research from a uniquely public health orientation. The carefully crafted and thoughtful chapters in this volume grapple with the complexity of the urban setting as a physical and social space while also providing an abundance of global and local examples of current urban health practices. Urban Public Health is divided into four pragmatic sections which cover core conceptual models of public health and their inequities, methods of urban health research assessment, methods of urban health research analysis and explanation, and ultimately, opportunities for urban health research to inform action through partnership and collaboration, including those which elevate community voices and capacities. An accessible guide for both students and researchers alike, Urban Public Health shines a light on how to understand, measure and change the urban setting so that cities grow, people thrive, and no one is left behind.