Spatial Agent Based Simulation Modeling in PublicHealth 1st edition by S. M. Niaz Arifin – Ebook PDF Instant Download/Delivery: 1118964361, 9781118964361
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ISBN 10: 1118964361
ISBN 13: 9781118964361
Author: S. M. Niaz Arifin
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 PublicHealth 1st Table of contents:
CHAPTER 1: INTRODUCTION
1.1 OVERVIEW
1.2 MALARIA
1.3 AGENT-BASED MODELING OF MALARIA
1.4 CONTRIBUTIONS
1.5 ORGANIZATION
CHAPTER 2: MALARIA: A BRIEF HISTORY
2.1 OVERVIEW
2.2 MALARIA IN HUMAN HISTORY
2.3 MALARIA EPIDEMIOLOGY: A GLOBAL VIEW
2.4 MALARIA CONTROL
CHAPTER 3: AGENT-BASED MODELING AND MALARIA
3.1 OVERVIEW
3.2 AGENT-BASED MODELS (ABMs)
3.3 HISTORY AND APPLICATIONS
3.4 ADVANTAGES OF ABMs
3.5 MALARIA MODELS: A REVIEW
3.6 SUMMARY
CHAPTER 4: THE BIOLOGICAL CORE MODEL
4.1 OVERVIEW
4.2 THE AQUATIC PHASE
4.3 THE ADULT PHASE
4.4 AQUATIC HABITATS AND OVIPOSITION
4.5 SENESCENCE AND MORTALITY RATES
4.6 MORTALITY IN THE CORE MODEL
4.7 DISCUSSION
4.8 SUMMARY
CHAPTER 5: THE AGENT-BASED MODEL (ABM)
5.1 OVERVIEW
5.2 MODEL ARCHITECTURE
5.3 MOSQUITO POPULATION DYNAMICS
5.4 MODEL FEATURES
5.5 SUMMARY
CHAPTER 6: THE SPATIAL ABM
6.1 OVERVIEW
6.2 THE SPATIAL ABM
6.3 RESOURCE CLUSTERING
6.4 FLIGHT HEURISTICS FOR MOSQUITO AGENTS
6.5 SIMULATION RESULTS
6.6 SPATIAL HETEROGENEITY
6.7 SUMMARY
CHAPTER 7: VERIFICATION, VALIDATION, REPLICATION, AND REPRODUCIBILITY
7.1 OVERVIEW
7.2 VERIFICATION AND VALIDATION (V&V): A REVIEW
7.3 REPLICATION AND REPRODUCIBILITY (R&R): A REVIEW
7.4 SUMMARY
CHAPTER 8: VERIFICATION AND VALIDATION (V&V) OF ABMs
8.1 OVERVIEW
8.2 VERIFICATION AND VALIDATION (V&V) OF ABMs
8.3 PHASE-WISE DOCKING
8.4 COMPARTMENTAL DOCKING
8.5 SUMMARY
CHAPTER 9: REPLICATION AND REPRODUCIBILITY (R&R) OF ABMs
9.1 OVERVIEW
9.2 VECTOR CONTROL INTERVENTIONS
9.3 SIMULATION RESULTS
9.4 REPLICATION AND REPRODUCIBILITY (R&R) GUIDELINES
9.5 DISCUSSION
9.6 SUMMARY
CHAPTER 10: A LANDSCAPE EPIDEMIOLOGY MODELING FRAMEWORK
10.1 OVERVIEW
10.2 GIS IN PUBLIC HEALTH
10.3 THE STUDY AREA AND THE ABM
10.4 THE GEOGRAPHIC INFORMATION SYSTEM (GIS)
10.5 SIMULATIONS AND SPATIAL ANALYSES
10.6 RESULTS
10.7 DISCUSSION
10.8 CONCLUSIONS
CHAPTER 11: THE EMOD INDIVIDUAL-BASED MODEL
11.1 OVERVIEW
11.2 MODEL STRUCTURE
11.3 RESULTS
11.4 DISCUSSION
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Tags: Spatial Agent, Simulation, Modeling, PublicHealth, Niaz Arifin