Theory and data for simulating fine-scale human movement in an urban environment.

ABSTRACT: Individual-based models of infectious disease transmission depend on accurate quantification of fine-scale patterns of human movement. Existing models of movement either pertain to overly coarse scales, simulate some aspects of movement but not others, or were designed specifically for populations in developed countries. Here, we propose a generalizable framework for simulating the locations that an individual visits, time allocation across those locations, and population-level variation therein. As a case study, we fit alternative models for each of five aspects of movement (number, distance from home and types of locations visited; frequency and duration of visits) to interview data from 157 residents of the city of Iquitos, Peru. Comparison of alternative models showed that location typ

SUBMITTER: Perkins TA 

PROVIDER: S-EPMC4233749 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature