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An Agent-Based Simulation Approach for Government Intervention in Reducing High-Risk HPV

Conference paper
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Part of the Agent-Based Social Systems book series (ABSS, volume 15)

Abstract

This research aims to describe the phenomena of cervical cancer spreading in Indonesia limited to cervical cancer spread caused by the human papillomavirus (HPV) and proposed agent based as an alternative of decision support system for the government. This model focused on the high-risk HPV infection through human sexual behavior. Literature studies, observation, and depth interview with the experts of oncology were implemented. The agent-based simulation (ABS) illustrates the social and sexual interactions in which the HPV may spread easily. It also allows the interaction that occurred if government interventions were implemented and shows how much these actions affect the number of HPV infections. The results gave significant findings on the importance of the government intervention to prioritize on promotion and socialization program on sexual health practice in Indonesia, before implementing both the HPV vaccination (as a national program), and the improvement of the medical treatment on HPV+ patients.

Keywords

Decision support system Agent-based simulation Human papillomavirus Infection Sexual behavior 

References

  1. 1.
    Pisani, P., Parkin, D. M., Bray, F., & Ferlay, J. (1999). Estimates of the worldwide from the 25 cancers in 1990. International Journal of Cancer, 83, 18–29.CrossRefGoogle Scholar
  2. 2.
    Schellekens, M. C., Dijkman, A., Aziz, M. F., Siregar, B., Cornain, S., Kolkman-Uljee, S., Peters, L. A. W., & Fleurena, G. J. (2004). Prevalence of single and multiple HPV types in cervical carcinomas in Jakarta, Indonesia. Journal of Gynecologic Oncology, 93, 49–53.CrossRefGoogle Scholar
  3. 3.
    Sibuea, W. H. (2000). Cancer in Cipto Mangunkusumo Hospital Jakarta. Gan to Kagaku Ryoho, 27, 549–559.Google Scholar
  4. 4.
    Tjindarbumi, D., & Mangunkusumo, R. (2002). Cancer in Indonesia, present and future. Japanese Journal of Clinical Oncology, 32, 17–21.CrossRefGoogle Scholar
  5. 5.
    Institute of Medicine. (1997). In T. R. Eng & W. T. Butler (Eds.), The hidden epidemic: Confronting sexually transmitted diseases. Washington, DC: National Academies Press.Google Scholar
  6. 6.
    Alam, S. J., Meyer, R., & Norling, E. (2000). A model for HIV spread in a South African village.Google Scholar
  7. 7.
    Chandra, A., & Stephen, E. H. (1998, January–February). Impaired fecundity in the United States: 1982–1995. Family Planning Perspectives, 30(1), 34–42.Google Scholar
  8. 8.
    Colizza, V., Barthélemy, M., Barrat, A., & Vespignani, A. (2007). Epidemic modeling in complex realities. Comptes Rendus Biologies, 330, 364–374.CrossRefGoogle Scholar
  9. 9.
    Burd, E. M. (2003). Humann papillomavirus and cervical cancer. Clinical Microbiology Reviews, 16(1), 1–17.CrossRefGoogle Scholar
  10. 10.
    National Comprehensive Cancer Network (NCCN). (2011). Guidelines clinical practice guidelines in oncology. Cervical cancer screening. Version 1. http://www.nccn.org
  11. 11.
    Indra, V. (2013). Effectiveness of educational intervention of women's participation in cervical cancer screening by acetic acid application on the cervix versus Pap smear for screening precancerous cervical lesions. International Journal of Nursing Education, 5(1), 231–235.CrossRefGoogle Scholar
  12. 12.
    Praditsitthikorn, N., et al. (2011). Economic evaluation of policy options for prevention and control of cervical cancer in Thailand. PharmacoEconomics, 29(9), 781–806.CrossRefGoogle Scholar
  13. 13.
    Buehler, S. K. (1997). Effectiveness of a call/recall system in improving compliance with cervical cancer screening: A randomized controlled trial. Canadian Medical Association Journal, 157(5), 521–6.Google Scholar
  14. 14.
    Widener, M. J. (2013). Agent-based modeling of policies to improve urban food access for low-income populations. Applied Geography, 40, 1–10.CrossRefGoogle Scholar
  15. 15.
    Sopha, B. M., et al. (2011). Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation. Energy Policy, 39(5), 2722–2729.CrossRefGoogle Scholar
  16. 16.
    Marina V. Sokolova, et al. (2009). Modeling and implementing an agent-based environmental health impact decision support system. Expert Systems with Applications, 36 (2, Part 2), 2603–2614.Google Scholar
  17. 17.
    Wu, J., et al. (2008). Multi-agent simulation of group behavior in E-Government policy decision. Simulation Modelling Practice and Theory, 16(10), 1571–1587.CrossRefGoogle Scholar
  18. 18.
    Gilbert, N. (2008). Agent-based model. Los Angeles: SAGE Publication.CrossRefGoogle Scholar
  19. 19.
    Axtell, R. (2000). Why agents? On the varied motivations for agent computing in the social sciences.Google Scholar
  20. 20.
    Wilensky, U. (1999). Netlogo. http://ccl.northwestern.edu/netlogo/. Center for connected learning and computer-based modeling. Evanston: Northwestern University.
  21. 21.
    Faridi, R., Zahra, A., Khan, K., et al. (2011). Oncogenic potential of human papillomavirus (HPV) and its relation with cervical cancer. Virology Journal, 8, 269.CrossRefGoogle Scholar
  22. 22.
    Burger, E. A., Ortendahl, J. D., Sy, S., Kristiansen, I. S., & Kim, J. J. (2012). Cost-effectiveness of cervical cancer screening with primary human papillomavirus testing in Norway. British Journal of Cancer, 106, 1571–1578.CrossRefGoogle Scholar
  23. 23.
    Schmid, A. (2005). What is the truth of simulation? The Journal of Artificial, Societies, and, Social,Simulation, 8(4), 7.Google Scholar
  24. 24.
    Epstein, J. M., & Axtell, R. L. (1996). Growing artificial societies: Social science from the bottom up. Cambridge, MA: MIT Press.Google Scholar
  25. 25.
  26. 26.
    Human Papilloma Virus (HPV) and Cervical Cancer. http://www.who.int/mediacentre/factsheets/fs380/en/
  27. 27.
  28. 28.
  29. 29.

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Institut Teknologi BandungSchool of Business and ManagementBandungIndonesia
  2. 2.School of Business and ManagementInstitut Teknologi BandungBandungIndonesia
  3. 3.Radiotherapy DepartmentDr. Cipto Mangunkusumo HospitalJakartaIndonesia

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