Open Access
Issue
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
Article Number 16001
Number of page(s) 4
Section Epidemiology Related to Disease and Health Event Prevention and Control
DOI https://doi.org/10.1051/e3sconf/201912516001
Published online 28 October 2019
  1. Lönnroth K, Jaramillo E, Williams BG, Dye C, Raviglione MC, Drivers of Tuberculosis Epidemics: The Role of Risk Factors and Social Determinants, Soc. Sci. Med. 68: 2240–6 (2009). [CrossRef] [PubMed] [Google Scholar]
  2. Wardani D, Wahono E, Predominant Determinants of Delayed Tuberculosis Sputum Conversion in Indonesia, Indian J. Community Med. 44(1): 53–7 (2019). [PubMed] [Google Scholar]
  3. Wardani D, Wahono E, Prediction Model of Tuberculosis Transmission Based on Its Risk Factors and Socioeconomic Position in Indonesia, Indian J. Community Med. 43(3): 204–8 (2018). [PubMed] [Google Scholar]
  4. Wardani D, Lazuardi L, Mahendradhata Y, Kusnanto H, Structured Equation Model of Tuberculosis Incidence Based on Its Social Determinants and Risk Factors in Bandar Lampung, Indonesia, Open J. Epidemiol. 4: 76–83 (2014). [Google Scholar]
  5. Solar O, Irwin A, A Conceptual Framework for Action on the Social Determinants of Health. Social Determinants of Health Discussion Paper 2 (Policy and Practice), (WHO. Geneva; 2010). [Google Scholar]
  6. Noor A.M, Amin A.A, Gething P.W, Atkinson P.M, Hay S.I, Snow R.W., Modelling distances travelled to government health services in Kenya, Trop. Med. Int. Heal. 11(2): 188–96 (2006). [CrossRef] [Google Scholar]
  7. Barker R.D, Nthangeni M.E, Millard F.J.C., Is The Distance A Patient Lives from Hospital A Risk Factor for Death from Tuberculosis in Rural South Africa?, Int. J. Tuberc. Lung Dis. 6(2): 98–103 (2002). [PubMed] [Google Scholar]
  8. Ensor T, Cooper S, Overcoming barriers to health service access: influencing the demand side, Heal. Policy Plan. 19(2): 69–79 (2004). [CrossRef] [Google Scholar]
  9. Sabawoon W, Sato H, Kobayashi Y, Pardis A, Regional Differences in Delay to Tuberculosis Treatment in Afghanistan: A cross-Sectional Study, Appl. Geogr. 31: 1123–31 (2011). [Google Scholar]
  10. Bandar Lampung Health Office, Report of Disease Prevention and Eradication: Tuberculosis 2018, (Bandar Lampung Health Office Report, Bandar Lampung, 2018). [Google Scholar]
  11. Wardani D, Social Determinants and Risk Factors for Tuberculosis Patients : A Case Control Study at Health Services Applying Directly Observed Treatment Shortcourse ( DOTS ) in Bandar Lampung , Indonesia, 2nd Int. Meet. Public Heal. Jakarta: KnE Life Sciences; 2018. p. 522–31 (2016). [Google Scholar]
  12. National Development Plan Bureau, Increasing Community Access to More Qualified Health (2010) [Google Scholar]
  13. Motta M.C.S, Villa T.C.S, Kritski J.G.A.L, Ruffi A, Silva D.F, Harter R.G, et al., Access to Tuberculosis Diagnosis in Itaboraí City, Rio de Janeiro, Brazil: The Patient’s Point of View, Int. J. Tuberc. Lung Dis. 13(9): 1137–41 (2009). [PubMed] [Google Scholar]
  14. Sanou A, Dembele M, Theobald S, Macq J, Access and Adhering to Tuberculosis Treatment: Barriers Faced by Patients and Communities in Burkina Faso, Int. J. Tuberc. Lung Dis. 8(12): 1479–83 (2004). [PubMed] [Google Scholar]
  15. Sánchez-Pérez H, Flores-Hernández J, Jansá J, Caylá J, Martín-Mateo M, Pulmonary Tuberculosis and Associated Factors in Areas of High Levels of Poverty in Chiapas, Mexico, Int. J. Epidemiol. 30: 386–93 (2001). [CrossRef] [PubMed] [Google Scholar]
  16. Lock W.A, Ahmad R.A, Ruiter R.A.C, van der Werf M.J, Bos A.E.R, Mahendradhata Y, et al., Patient Delay Determinants for Patients with Suspected Tuberculosis in Yogyakarta Province, Indonesia, Trop. Med. Int. Heal. 16(12): 1501–10 (2011). [CrossRef] [Google Scholar]

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