A Spatial Agent-Based Model and a Multi-Dimensional Data Warehouse for Malaria Research

Doctoral Dissertation

Abstract

Human malaria is transmitted only by female Anopheles mosquitoes, which are regarded as the primary vector for transmission. Agent-Based Modeling (ABM) is a powerful tool for representing complex biological systems. Following a biological core model of An. gambiae for malaria entomology, we develop agent-based simulation models (ABMs). For the ABMs, we describe the verification & validation (V&V) processes, a spatial extension, and a landscape generator tool. Using the spatial ABM, we demonstrate the effects of spatial heterogeneity, investigate the impact of vector control interventions, and describe an example application by integrating the ABM with a geographic information system (GIS).

For malaria, there is a growing need to integrate the existing heterogeneous data sources. Data warehouses (DWs) and dimensional modeling (DM) can be viable alternatives to meet this challenge. We describe the design and implementation of a multi-dimensional DW, to be integrated into the Vector Ecology and Control Network (VECNet) Cyberinfrastructure (CI) analytical framework, which provides a robust way to store, access, and analyze malaria-related data.

Attributes

Attribute NameValues
URN
  • etd-09142013-195506

Author S. M. Niaz Arifin
Advisor Gregory R. Madey
Contributor Patrick J. Flynn, Committee Member
Contributor Gregory R. Madey, Committee Chair
Contributor Jessica J. Hellmann, Committee Member
Contributor Frank H. Collins, Committee Member
Degree Level Doctoral Dissertation
Degree Discipline Computer Science and Engineering
Degree Name PhD
Defense Date
  • 2013-06-18

Submission Date 2013-09-14
Country
  • United States of America

Subject
  • Predictive Data

  • Event-Action-List Diagram

  • Open Source Software

  • Drupal Content Management System

  • Slice and Dice

  • Vector (Mosquito)

  • Asembo ITN Project

  • Data Dictionary

  • GIS-ABM Integration

  • Lookup Table

  • Python

  • Dimensional Modeling

  • Data Warehouse

  • SQLAlchemy

  • Data Granularity

  • Replicability

  • Django Web Application Framework

  • Contour Plot

  • Cubes OLAP Framework

  • PostgreSQL

  • Operational Source System

  • Historical Data

  • Post-Simulation Analysis

  • Eclipse Software Development Kit

  • Apache Web Server

  • Larval Source Management

  • Java

  • Data Mart

  • Insecticide-Treated Net

  • Biomass

  • Combined Interventions

  • Agent-based Modeling and Simulation

  • Anopheles gambiae

  • Agent-based Modeling

  • ITN Repellence

  • ITN Mortality

  • Fact

  • Roll Up and Roll Down

  • Recursive Porous Agent Simulation (Repast) Toolk

  • Senescence

  • Ecological Resource

  • Spatial Heterogeneity

  • Decision Support System

  • Constellation Schema

  • Verification and Validation

  • Digital Library

  • Docking

  • Cyberinfrastructure

  • Dimension

  • Vector Control Intervention

  • Star Schema

  • Dimension Hierarchy

  • Computational Biology

  • Relational Database Management System

  • Perl Programming Language

  • Bioinformatics

  • Malaria Parasite

  • Moore Neighborhood

  • Age-Specific Mortality Rate

  • Online Analytical Processing

  • Non-Absorbing Boundary

  • Mosquito Movement

  • Anopheles Mosquito

  • Mosquito Foraging Behavior

  • C++

  • Epidemiology

  • Simulation

  • Entomology

  • Plasmodium falciparum

  • Carrying Capacity

  • Spatial Agent-based Model

  • Vector Ecology and Control Network

  • Geographic Information System

  • ITN Coverage

  • Malaria

  • Replicability of Simulations

  • Data Cube

  • Landscape Generator Tool

Publisher
  • University of Notre Dame

Language
  • English

Record Visibility and Access Public
Content License
  • All rights reserved

Departments and Units

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