TY - JOUR
T1 - SPATIAL ANALYSIS OF ENVIRONMENTAL FACTORS RELATED TO DENGUE HEMORRHAGIC FEVER CASES IN BANYUWANGI REGENCY, 2020-2022
AU - Saputra, Yusva Dwi
AU - Yudhastuti, Ririh
N1 - Publisher Copyright:
© 2023 Jurnal Kesehatan Lingkungan all right reserved.
PY - 2023/7/28
Y1 - 2023/7/28
N2 - Introduction: Based on the Banyuwangi Regency Health Office, the DHF incidence rate in Banyuwangi Regency in 2022 has experienced a significant increase of 30.14 per 100,000 inhabitants, previously 5.70. DHF can be affected by environmental factors such as mosquito larvae, rainfall, and house conditions. DHF control efforts can be carried out by mapping dengue vulnerability to formulate an appropriate policy. Conversely, the spatial analysis of DHF cases in Banyuwangi is rarely found. This study aims to analyze spatial factors at DHF IR and the relationship between an environmental factor and DHF IR in Banyuwangi Regency. Methods: This study used an ecological study approach. The data used was secondary data from 2020–2022. Data were obtained from Banyuwangi Regency Health Office and Banyuwangi Regency Central Statistic Agency. Moran's I and LISA determined the spatial autocorrelation. Spatial regression was also used in this study. Results and Discussion: DHF IR Banyuwangi Regency had spatial autocorrelation (p-value=0.0010) with clustered patterns (I=0.4789). The pattern of clustering dengue cases in an area could occur because of a relationship with previous dengue cases. Spatial autocorrelation was not found between DHF IR with LFI (p-value=0.4560), rainfall (p-value=0.0610), CBTS villages (p-value=0.1870), and healthy houses (p=value=0.3680). The independent variable in this study did not have a significant relationship with DHF IR. Conclusion: The average DHF IR in Banyuwangi Regency in 2020–2022 had a grouping pattern related to district proximity. LFI, rainfall, CBTS villages, and healthy houses had no significant relationship with DHF IR.
AB - Introduction: Based on the Banyuwangi Regency Health Office, the DHF incidence rate in Banyuwangi Regency in 2022 has experienced a significant increase of 30.14 per 100,000 inhabitants, previously 5.70. DHF can be affected by environmental factors such as mosquito larvae, rainfall, and house conditions. DHF control efforts can be carried out by mapping dengue vulnerability to formulate an appropriate policy. Conversely, the spatial analysis of DHF cases in Banyuwangi is rarely found. This study aims to analyze spatial factors at DHF IR and the relationship between an environmental factor and DHF IR in Banyuwangi Regency. Methods: This study used an ecological study approach. The data used was secondary data from 2020–2022. Data were obtained from Banyuwangi Regency Health Office and Banyuwangi Regency Central Statistic Agency. Moran's I and LISA determined the spatial autocorrelation. Spatial regression was also used in this study. Results and Discussion: DHF IR Banyuwangi Regency had spatial autocorrelation (p-value=0.0010) with clustered patterns (I=0.4789). The pattern of clustering dengue cases in an area could occur because of a relationship with previous dengue cases. Spatial autocorrelation was not found between DHF IR with LFI (p-value=0.4560), rainfall (p-value=0.0610), CBTS villages (p-value=0.1870), and healthy houses (p=value=0.3680). The independent variable in this study did not have a significant relationship with DHF IR. Conclusion: The average DHF IR in Banyuwangi Regency in 2020–2022 had a grouping pattern related to district proximity. LFI, rainfall, CBTS villages, and healthy houses had no significant relationship with DHF IR.
KW - DHF
KW - Healthy Houses
KW - Moran's I
KW - Sanitation
KW - Spatial autocorrelation
UR - http://www.scopus.com/inward/record.url?scp=85175097202&partnerID=8YFLogxK
U2 - 10.20473/jkl.v15i3.2023.217-225
DO - 10.20473/jkl.v15i3.2023.217-225
M3 - Article
AN - SCOPUS:85175097202
SN - 1829-7285
VL - 15
SP - 217
EP - 225
JO - Jurnal Kesehatan Lingkungan
JF - Jurnal Kesehatan Lingkungan
IS - 3
ER -