A framework for assessing personalized exposure risk of infectious disease transmission
Date Issued
2016
Date
2016
Author(s)
Hsu, Ching-Shun
Abstract
Human mobility is an important risk factor affecting disease transmission. Therefore, understanding detailed spatial behaviors and interactions among individuals is a fundamental issue. Past studies using high-resolution human contacts data from smart phones with GPS logs have captured spatial-temporal heterogeneity and daily contact patterns among individuals. However, measuring personalized exposed risk of infectious disease transmission is still under development. The purpose of the study is to establish a framework for assessing personalized exposed risk of infectious disease transmission. The framework consists of two components: the first is client-side smart phone-based risk assessment module. We developed Android application for collecting individual mobility data and displaying the personalized exposed risk score. The second component is the server-side epidemic simulation model. The simulation model calculated the personalized exposed risk score based on individual mobility data from the client-side Android application. We used NTU main campus as a pilot study to demonstrate the feasibility of the framework. We analyzed the records of students’ taking course and modeled the spatial interaction relationships among classroom buildings due to students’ mobility around the campus. Each student who installed the client-side risk assessment module in his/her smart phone receives the real-time personalized exposed risk score when an epidemic outbreak on the NTU campus. Furthermore, we explored the relationships between personalized exposed risk score and course taking behaviors including a simple behavior change mechanism. The study proposed a framework for measuring real-time personalized exposed risk. Each student at the campus could understand the spatial diffusion of disease transmission and make better spatial decisions based on personalized exposed risk scores to avoid getting infectious diseases.
Subjects
infectious diseases
personalized exposure assessment
behavior change
decision making
human mobility
SDGs
Type
thesis
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ntu-105-R02228008-1.pdf
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