Sinaga, Jernita and Tanjung, Risnawati and Nolia, Helfi (2023) ENVIRONMENTAL ANALYSIS AND DISTRIBUTION PATTERNS OF Aedes Aegypti MOSQUITO TO PREDICT DHF ENDEMICITY AREA IN KARO DISTRICT. ENVIRONMENTAL ANALYSIS AND DISTRIBUTION PATTERNS OF Aedes Aegypti MOSQUITO TO PREDICT DHF ENDEMICITY AREA IN KARO DISTRICT, 2 (10). pp. 1102-1118. ISSN 2980-4841
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Abstract
In 2018 there were 81 cases, IR: 19.77 per 100,000 population based on the initial survey at the
health office there were 131 cases, the highest was at Kabanjahe Health Center: 46, the lowest
was at Kuta Buluh Health Center: 2 and Lau Baleng Health Center 2 cases. The purpose of this
study was to analyze environmental factors and distribution patterns to predict areas prone to
dengue fever in Karo Regency. The analysis is divided into 3 categories, namely the District Level
using time series data analysis, forecasting (Arima) which aims for Early Warning Sign, the
Kelurahan/Village level using GIS data processing describing the sub-districts as very vulnerable,
vulnerable and not vulnerable. Individual level using case control design, chi square test analysis
and mapping with GIS aims to describe the distribution of areas with dengue fever and exposure
behavior that affects the incidence of dengue and see the most dominant factor using multiple
logistic regression analysis. The density of larvae is the most influential factor with the density of
Aedes Aegypti in Karo Regency with Exp B 4,102 (p-value ,000, 95% CI ,333 – 18,012), Community
behavior (knowledge, actions and attitudes) has no relationship with Aedes Aegypti density in
Karo Regency. Population density based on distribution pattern has no relationship with Aedes
Aegypti density in Karo Regency, Occupancy density has no relationship with Aedes Aegypti
density in Karo Regency, House index (HI) in Karo Regency is at Density Figure (4) at medium
density, Container index (CI) and Breteau index (BI) are in the Density Figure (9) in high density
and the larva-free rate at 72.54% is below the national standard of 95%, There are clusters of
cases that have a risk of 2.69 times affected by DHF for patients who are in the cluster compared
to patients who are outside the cluster, the cluster radius is 2.76 km.
Keywords: Environment, Information Systems (GIS), DHF
Item Type: | Article |
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Subjects: | Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources |
Divisions: | Jurusan/Prodi Sanitasi(Kesehatan Lingkungan) Kemenkes Poltekkes Medan > Karya Ilmiah Dosen Kesehatan Lingkungan > Jurnal Internasional Dosen D4 Kesling |
Depositing User: | Mrs Risnawati Tanjung |
Date Deposited: | 08 Aug 2025 01:33 |
Last Modified: | 08 Aug 2025 01:33 |
URI: | https://repository.poltekkes-medan.ac.id/id/eprint/1817 |