Open AccessRepresenting Tuberculosis Transmission with Complex Contagion: An Agent-Based Simulation Modeling Approach
Author(s) -
Erin Zwick,
Caitlin S. Pepperell,
Oğuzhan Alagöz
Publication year - 2021
Publication title -
medical decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 103
eISSN - 1552-681X
pISSN - 0272-989X
DOI - 10.1177/0272989x211007842
Subject(s) - transmission (telecommunications) , tuberculosis , incidence (geometry) , epidemic model , econometrics , population , computer science , medicine , outbreak , statistics , demography , virology , mathematics , environmental health , telecommunications , pathology , geometry , sociology
A recent study reported a tuberculosis (TB) outbreak in which, among newly infected individuals, exposure to additional active infections was associated with a higher probability of developing active disease. Referred to as complex contagion , multiple reexposures to TB within a short period after initial infection is hypothesized to confer a greater likelihood of developing active infection in 1 y. The purpose of this article is to develop and validate an agent-based simulation model (ABM) to study the effect of complex contagion on population-level TB transmission dynamics.