Risk factor mapping and case map of environmentally based disease in Yogyakarta

  • Hariza Adnani Graduate Programs in Health Promotion and Comunity Empowerment, Universitas Sebelas Maret, Surakarta, Indonesia
  • Achmad Arman Subiyanto Masters Program in Family Medicine, Universitas Sebelas Maret, Surakarta, Indonesia
  • Diffah Hanim Master Program in Nutrition, Universitas Sebelas Maret, Surakarta, Indonesia
  • Endang Sutisna Sulaeman Master Program in Public Health, Universitas Sebelas Maret, Surakarta, Indonesia
DOI: https://doi.org/10.13181/mji.v28i2.3093
Keywords: case study, geographic information system, health risk assessment, infectious diseases, map
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Abstract

BACKGROUND A geographic information system (GIS) is required to guide interventions into prevent ARI and reduce the incidence of cases. The purpose of this study is to find out whether there is spatial autocorrelation in the spread of ARI; to obtain spatial information about the ARI risk factors, the ARI case map, and the factors related to the occurrence of ARI.

METHODS This study is a quantitative research study with case-control study design.The sampling technique was purposive sampling. Spatial analysis techniques used were buffers and spatial clustering. The measurement of spatial autocorrelation was calculated by Moranâs Index method.

RESULTS The risk factors for ARI based on the history of ARI disease were cough and cold in the last one year, and cough and cold lasting more than two weeks (OR = 15.691; 95% CI = 6.558-37.546 and OR = 6.645; 95% CI = 3.013-14.652). The risk factors for ARI based on the house physical environment were the room density, existence of glass windows on the house roof, electricity as a light source, presence of family members who smoke, and proximity to pollution exposure and waste disposal. Moran's Index value shows positive spatial autocorrelation.

CONCLUSIONS GIS produces ARI distribution patterns. Based on the results of the cluster, the incidence of ARI cases in this region are interrelated or one case with another case is closely related, due to its close position.

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Published
2019-08-09
How to Cite
1.
Adnani H, Subiyanto AA, Hanim D, Sulaeman ES. Risk factor mapping and case map of environmentally based disease in Yogyakarta. Med J Indones [Internet]. 2019Aug.9 [cited 2024Jul.3];28(2):174-82. Available from: http://mji.ui.ac.id/journal/index.php/mji/article/view/3093
Issue
Vol. 28 No. 2 (2019): June
Section
Community Research

Copyright (c) 2019 Hariza Adnani, AA Subiyanto, Diffah Hanim, Endang S Sulaeman

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