Proceedings of the 2015 International Conference on Industrial Technology and Management Science

The Combination of Diffusion Model and Learning Effect Model to Evaluate the Policy Impact of Cancer Control Act

Authors
Y.T. Chen, F.C. Yang
Corresponding Author
Y.T. Chen
Available Online November 2015.
DOI
10.2991/itms-15.2015.32How to use a DOI?
Keywords
Diffusion Model; Learning Model; Integrating Model; Cancer Control Act
Abstract

Considering the social high incidence and mortality rate of cervix cancer, the government provides a free medical service of Pap smear test based on the Cancer Control Act regulated in 2003. This paper attempts to understand the impact of policy implementation for Pap smear test and employs the diffusion model, learning model and integrating model respectively to examine the diffusion of Pap smear test promotion. The results show that all the three models are statistically fitted, i.e. diffusion effects, learning effects, and interaction effects exists and may explain the trend of Pap smear test. The policy of the Cancer Control Act is also found to significantly affect the adoption of Pap smear test.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
10.2991/itms-15.2015.32How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Y.T. Chen
AU  - F.C. Yang
PY  - 2015/11
DA  - 2015/11
TI  - The Combination of Diffusion Model and Learning Effect Model to Evaluate the Policy Impact of Cancer Control Act
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 125
EP  - 128
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.32
DO  - 10.2991/itms-15.2015.32
ID  - Chen2015/11
ER  -