Geospatial Analysis of Cervical Cancer Distribution in South Sulawesi Province

Authors

  • Andi Alfian Zainuddin Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
  • Amran Rahim Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Hasanuddin, Makassar, Indonesia image/svg+xml https://orcid.org/0000-0002-9832-8738
  • Muh. Firdaus Kasim Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
  • Sri Ramadany Karim Department of Public Health and Community Medicine, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia image/svg+xml
  • Rina Masadah Department of Pathology Anatomy, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia image/svg+xml https://orcid.org/0000-0002-1380-4759
  • Syahrul Rauf Department of Obstetry and Gynaecology, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia image/svg+xml

DOI:

https://doi.org/10.3889/oamjms.2022.10417

Keywords:

Cervical cancer, Moran’s I, Hotspot, Cold spot, Spatial outliers

Abstract

Background: Cervical cancer, which is classified as a non-communicable disease, is a health problem that is of global concern at this time.1 Indonesia ranks second in the highest number of cervical cancer cases in the world with 32,469 cases per year. 1 For this reason, optimization efforts are carried out to prevent the increase in the prevalence of cervical cancer patients in the Province of South Sulawesi.

Objective: The purpose of this study was to make a geospatial analysis of the distribution of cervical cancer patients.

Methods:  Geospatial analysis using Global Moran's I and Local Moran's I.

Result: The results of the geospatial analysis of the prevalence of cervical cancer in South Sulawesi Province show that in 2016 there were two spatial hotspot clusters (H-H), one coldspot spatial cluster (L-L), two spatial outlier clusters (H-L), and one spatial outlier cluster (L-H). In 2019, there were only two spatial hotspot clusters. Geospatial analysis of the prevalence of cervical cancer shows an increase in efforts to prevent cervical cancer from 2016 to 2019. However, there are still spatial hotspot clusters in 2019, especially in rural areas..

Conclusion: The efforts to prevent cervical cancer need to be optimized, especially in rural areas, in the future.

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References

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Published

2022-09-10

How to Cite

1.
Zainuddin AA, Rahim A, Kasim MF, Karim SR, Masadah R, Rauf S. Geospatial Analysis of Cervical Cancer Distribution in South Sulawesi Province. Open Access Maced J Med Sci [Internet]. 2022 Sep. 10 [cited 2024 May 8];10(B):2296-301. Available from: https://oamjms.eu/index.php/mjms/article/view/10417

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Gynecology and Obstetrics

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