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Analyzing and modeling spatial and temporal dynamics of infectious diseases / edited by Dongmei Chen, Bernard Moulin, Jianhong Wu.
Ebook Central Perpetual, DDA and Subscription Titles Available online
Ebook Central Perpetual, DDA and Subscription Titles- Format:
- Contributor:
- Language:
- English
- Subjects (All):
- Medical Subjects:
- Physical Description:
- 1 online resource (xviii, 478 pages)
- Place of Publication:
- Hoboken, New Jersey : Wiley, [2015]
- System Details:
- text file
- Summary:
- 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 IGIS), global positioning system (GPS), and other location-based technologies m 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 influence (H1N1) and schistosomiasis, Modern techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled duster 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 venous 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. Book jacket.
- Contents:
-
- Introduction to analyzing and modeling spatial and temporal dynamics of infectious diseases / Dongmei Chen, Bernard Moulin, Jianhong Wu
- Modeling the spread of infectious diseases : a review / Dongmei Chen
- West Nile virus : a narrative from bioinformatics and mathematical modeling studies / U.S.N. Murty, Amit Kumar Banerjee and Jianhong Wu
- West Nile virus risk assessment and forecasting using statistical and dynamical models / Ahmed Abdelrazec, Yurong Cao, Xin Gao, Paul Proctor, Hui Zheng, and Huaiping Zhu
- Using mathematical modeling to integrate disease surveillance and global air transportation data / Julien Arino and Kamran Khan
- Mathematical modeling of malaria models with spatial effects / Daozhou Gao and Shigui Ruan
- Avian influenza spread and transmission dynamics / Lydia Bourouiba, Stephen Gourley, Rongsong Liu, John Takekawa, and Jianhong Wu
- Analyzing the potential impact of bird migration on the global spread of H5N1 avian influenza (2007-2011) using spatio-temporal mapping methods / Heather Richardson and Dongmei Chen
- Cloud computing-enabled cluster detection using a flexibly shaped scan statistic for real-time syndromic surveillance / P. Belanger and K. Moore
- Mapping the distribution of malaria : current approaches and future directions / L.R. Johnson, K.D. Lafferty, A. McNally, E. Mordecai, K. Paaijmans, S. Pawar, S.J. Ryan
- Statistical modeling of spatio-temporal infectious disease transmission / Rob Deardon, Xuan Fang and Grace Pui Sze Kwong
- Spatio-temporal dynamics of schistosomiasis in China : bayesian-based geostatistical analysis / Zhi-Jie Zhang
- Spatial analysis and statistical modeling of 2009 H1N1 pandemic in the greater Toronto area / Frank Wen, Dongmei Chen, Anna Majury
- West Nile virus mosquito abundance modeling using a non-stationary spatio-temporal geostatistics / Eun-Hye Yoo, Dongmei Chen, Curtis Russel
- Spatial pattern analysis of multivariate disease data / Cindy X. Feng and Charmaine Dean
- The zoonosismags project (part 1) : population-based geosimulation of zoonoses in an informed virtual geographic environment / Bernard Moulin, Mondher Bouden, Daniel Navarro
- Zoonosismags project (part 2) : complementarity of a rapid-propotyping tool and of a full-scale geosimulator for population-based geosimulation of zoonoses / Bernard Moulin, Daniel Navarro, Dominic Marcotte, Said Sedrati
- Web-mapping and behaviour pattern extraction tools to assess lyme disease risk for humans in peri-urban forests / Hedi Haddad, Bernard Moulin, Franck Manirakiza Christelle Maha, Vincent Godard and Samuel Mermet
- An integrated approach for communicable disease geosimulation based on epidemiological, human mobility and public intervention models / Hedi Haddad, Bernard Moulin, Marius Thariault
- Smartphone trajectories as data sources for agent-based infection spread modeling / M.R. Friesen and R.D. McLeod.
- Notes:
-
- Includes bibliographical references and index.
- Electronic reproduction. Palo Alto, Calif. Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on December 18, 2014).
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Barton Hirst Lippincott Memorial Fund.
- Other Format:
- Print version: Analyzing and modeling spatial and temporal dynamics of infectious diseases
- ISBN:
-
- 9781118630037
- 1118630033
- Publisher Number:
- 99961093646
- Access Restriction:
- Restricted for use by site license.
- Online:
- The Barton Hirst Lippincott Memorial Fund Home Page
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