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All Journal International Journal of Health, Engineering and Technology
Rizma Khaila Putri Hamdani
a:1:{s:5:"en_US";s:21:"Universitas Airlangga";}
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Mapping And Analysis Of Measles Cases In Children Aged 1-9 Years In Situbondo Regency In 2024 Rizma Khaila Putri Hamdani; Lucia Yovita Hendrati
International Journal of Health Engineering and Technology Vol. 5 No. 1 (2026): IJHET MAY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v5i1.799

Abstract

This study aims to map and analyze measles cases in children aged 1-9 years in Situbondo Regency in 2024, based on measles immunization coverage and population density. Using a descriptive analytical method with an ecological study approach and secondary data from the 2024 East Java Health Profile, the unit of analysis was 17 sub-districts in Situbondo Regency. Spatial analysis was conducted using Health Mapper and GeoDa for Global Moran's I and Bivariate Local Indicator of Spatial Association (BiLISA). The results showed that measles immunization coverage in all sub-districts has not reached the national target of 95%, with Panji District having the highest proportion of cases. Global Moran's I analysis found a significant negative spatial autocorrelation between immunization coverage and measles cases (I = -0.330, p = 0.015), indicating that areas with high immunization coverage tend to be adjacent to areas with low cases, and vice versa. Meanwhile, for population density, no significant spatial autocorrelation was found (I = 0.217, p = 0.053), although densely populated areas tended to have a higher proportion of cases. This indicates that while immunization coverage has a clear spatial relationship with measles cases, population density is not the sole determining factor.
Co-Authors Lucia Yovita Hendrati