Sadeghipour, Maryam with Peyman Shariatpanahi, Afshin Jafari, Navid Ghaffarzadegan, Mohammad Hosien Khoshnevisan and Arezoo Ebne Ahmadi  "Modelling a collective health behaviour in a social network: The case of dental routine visiting", 2015 July 19 - 2015 July 23

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Modelling a collective health behaviour in a social network: The case of dental
routine visiting
Maryam Sadeghipour', Peyman Shariatpanahi”’, A fshin Jafari’, Navid Ghaffarzadegan’, Arezoo
Ebn Ahmadi!, Mohammad Hosein Khoshnevisan!,
! Dental School, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of New Sciences and Technologies, University of Tehran, Tehran, Iran
3 Breast Cancer Research Center, Tehran, Iran

4 Industrial & System Engineering, Virginia Tech, Blacksburg, Virginia, USA

Our health seeking behaviour is influenced by our friends and families. We develop
an Agent Based Model that represent such effects in a case of dental routine visit.
Based on simple rules at the individual level we observe emergence of a collective
behavior with an oscillatory pattern for demand for dental routine visits at the societal
level. We show that the oscillatory pattern is strongly dependent on the number of
effective peer contacts and the social network structure. The results show a rapid
growth in the oscillation amplitude as the number of effective peer connections
increase. We compare and validate our results by looking at trends of Google search

queries for about 110 US cities which represent public attention to dental care.

Metadata

Resource Type:
Document
Description:
Our health seeking behavior is influenced by our friends and families. We develop an Agent Based Model that represent such effects in a case of dental routine visit. Based on simple rules at the individual level we observe emergence of a collective behavior with an oscillatory pattern for demand for dental routine visits at the societal level. We show that the oscillatory pattern is strongly dependent on the number of effective peer contacts and the social network structure. The results show a rapid growth in the oscillation amplitude as the number of effective peer connections increase. We compare and validate our results by looking at trends of Google search queries for about 110 US cities which represent public attention to dental care.
Rights:
CC BY-NC-SA 4.0
Date Uploaded:
March 13, 2026

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