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Istiqlala, Dwi Regina
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Public Health

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Pemetaan Kejadian Kasus Demam Berdarah Dengue di Kabupaten Kediri Tahun 2023 Istiqlala, Dwi Regina
Ficco Public Health Journal Vol. 1 No. 02 (2024): August 2024
Publisher : Ficco Scientific Corner

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14561193

Abstract

Background: The cases of dengue fever (DBD) in Indonesia show a fluctuating trend. DBD remains a public health issue because it affects all age groups and can lead to death. Efforts to control and prevent DBD are crucial to reduce its impact on the community. The purpose of this study is to illustrate the distribution pattern of DBD cases in Kediri Regency in the form of a map. Methods: This study uses a descriptive observational quantitative research design. The research analyzes secondary data obtained from the Kediri Regency Health Office using Geographic Information System (GIS). Data was collected from routine health reports and mapped to identify spatial patterns of DBD cases across the subdistricts. Results: The subdistrict with the highest DBD cases is Pare with the highest number of cases, totaling 106,968 cases, followed by Mojo subdistrict with 87,280 cases. The subdistrict with the lowest cases is Kunjang, with 32,641 DBD cases. The distribution pattern of these cases indicates areas with higher population density and environmental factors may contribute to the increased incidence in certain subdistricts. Conclusions: Optimal handling and prevention of DBD cases should be implemented to prevent an increase in DBD cases. Additionally, targeted interventions in high-risk subdistricts, such as Pare and Mojo, are essential to reduce the overall incidence of DBD.
Pola Sebaran Stunting di Kabupaten Jombang Tahun 2023 Menggunakan Analisis Geospasial Istiqlala, Dwi Regina; Fahmi, Mohamad Anis
Ficco Public Health Journal Vol. 1 No. 02 (2024): August 2024
Publisher : Ficco Scientific Corner

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14560886

Abstract

Background: Stunting is a type of growth failure caused by inadequate nutrition, which lasts from pregnancy up to 24 months. This research aims to map the distribution of stunting prevalence in young children using the Geographic Information System (GIS). Methods: This study uses a descriptive cross-sectional type by collecting secondary data on stunting cases in young children obtained from the Jombang District Health Office in 2023. Results: Research using Moran's test shows that based on the results of autocorrelation data does not show the existence of significant local spatial autocorrelation at the level of stunting prevalence in Jombang Regency in the absence of statistical significance in the results of the LISA test, while the results of the distribution pattern of the Lisa cluster test are not significant, there is no strong evidence of the group areas that are close to the same and low stunting conditions in Kabuh and Megaluh districts. Conclusions: The prevalence of stunting in Jombang Regency in 2023 does not show a significant pattern of spatial autocorrelation based on the results of the LISA test. Suggestions: By using GIS technology, we can map the stunting areas and identify the most vulnerable community groups. This information will be very useful in designing a properly targeted intervention programme and improving the quality of life of the community.  
Co-Authors Mohamad Anis Fahmi