Analisis spasial kejadian kusta di kabupaten Blora

https://doi.org/10.22146/bkm.26267

Jati Kurniawan(1*), Sunardi Radiono(2), Hari Kusnanto(3)

(1) Kantor Kesehatan Pelabuhan Cilacap
(2) Departemen Dermatologi dan Venerologi Fakultas Kedokteran Universitas Gadjah Mada
(3) Departemen Biostatistik, Epidemiologi dan Kesehatan Populasi Fakultas Kedokteran Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Spatial analysis of leprosy in Blora

Purpose

This research aimed to discover the existence of leprosy agglomeration and factors causing leprosy.

Method

This research was an epidemiological study conducted in Blora. Data were analyzed using individual approach and spatial analysis.

Results

There were clusters of leprosy cases at coordinates 7.215035 S and 111.535428 E radius of 10.54 km. Variables related to leprosy incidence were economic status and the distance of reservoir. The economic status obtained coefficient value -0.882169, error standard 0.372429, t-statistic -2.36869 and p-value 0.01881. While the distance of reservoir obtained coefficient value 0.00344507, standard error 0.000965419, t-statistic 3.56847 and p-value 0.00045.

Conclusion

There were clusters of leprosy patients. There was a significant correlation between the variable of economic status and the distance of reservoir with the leprosy incidence. Health offices and related sectors need to provide informal skills training to leprosy patients for increasing family income.


Keywords


spatial; leprosy; Blora



References

  1. Kementerian Kesehatan Republik Indonesia. Pedoman Nasional Program Pengendalian Kusta. Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan Kementerian Kesehatan Republik Indonesia. Jakarta. 2015.
  2. WHO. 2016. Leprosy.
  3. Dinas Kesehatan Kabupaten Blora. Profil Kesehatan Kabupaten Blora Tahun 2015. Blora.
  4. Van Beers SM, Hatta M, Klatser PR. Patient Contact is the Major Determinant in Incident Leprosy: Implications for Future Control. International Journal of Leprosy and Other Mycobacterial Diseases. 1999 Jun 1;67(2):119.
  5. Uthman OA, Yahaya I, Ashfaq K, Uthman MB. A trend analysis and sub-regional distribution in number of people living with HIV and dying with TB in Africa, 1991 to 2006. International journal of health geographics. 2009 Nov 24;8(1):65.
  6. World Health Organization. Global Strategy for further reducing the leprosy burden and sustaining leprosy control activities: plan period: 2006-2010.
  7. Cury MR, Paschoal VD, Nardi SM, Chierotti AP, Rodrigues Júnior AL, Chiaravalloti-Neto F. Spatial analysis of leprosy incidence and associated socioeconomic factors. Revista de Saúde Pública. 2012 Feb;46(1):110-8.
  8. Bakker MI, Scheelbeek PF, Van Beers SM. The use of GIS in leprosy control. Lepr Rev. 2009 Sep 1;80(3):327-1.
  9. Kusnanto H. Analisis Spasial Penyakit Kusta di Kotamadya Sorong (Doctoral dissertation, Universitas Gadjah Mada).
  10. Barreto JG, Bisanzio D, de Souza Guimarães L, Spencer JS, Vazquez-Prokopec GM, Kitron U, Salgado CG. Spatial analysis spotlighting early childhood leprosy transmission in a hyperendemic municipality of the Brazilian Amazon region. PLoS neglected tropical diseases. 2014 Feb 6;8(2):e2665
  11. Sterne JA, Ponnighaus JM, Fine PE, Malema SS. Geographic determinants of leprosy in Karonga district, Northern Malawi. International journal of epidemiology. 1995 Dec 1;24(6):1211-22.
  12. Indriyanti H, Soebono H, Supardi S. Faktor Yang Mempengaruhi Ketidakteraturan Berobat Penderita Kusta Di Kapupaten Blora. Berita kedokteran masyarakat. 2003;19(2003).



DOI: https://doi.org/10.22146/bkm.26267

Article Metrics

Abstract views : 2684 | views : 2210

Refbacks

  • There are currently no refbacks.




Copyright (c) 2018 Berita Kedokteran Masyarakat

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Berita Kedokteran Masyarakat ISSN 0215-1936 (PRINT), ISSN: 2614-8412 (ONLINE).

Indexed by:


Web
Analytics Visitor Counter