Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology (Wiley Series in Modeling and Simulation) - Hardcover

Arifin, S. M. Niaz; Madey, Gregory R.; Collins, Frank H.

Hardcover

ISBN 10: 1118964357 ISBN 13: 9781118964354

Publisher: Wiley, 2016

Synopsis

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.

About this title

About the Author

Dr. S. M. Niaz Arifin is currently a Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame in Indiana, USA. He received a Ph.D. from the University of Notre Dame, an M.S. from the University of Texas at Dallas, and a B.S. from Bangladesh University of Engineering and Technology (BUET). He has a decade of research and teaching experiences at multiple universities. He has been teaching courses including artificial intelligence and topics in parasitology and vector biology at the University of Notre Dame. 

Dr. Arifin's interdisciplinary research interests include agent-based modeling and simulation, bioinformatics, data warehouses, geographic information systems, and public health. His research has been published in the simulation, modeling, biology, and ecology literature. He authors over twenty journal articles, conference papers, books, textbooks and book chapters. He has given multiple invited talks, research posters, and research presentations around the globe.

Edition details

• Publisher: Wiley
• Publication date: 2016
• ISBN 10: 1118964357
• ISBN 13: 9781118964354
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 320