TY - JOUR
T1 - Spatial Autocorrelation of Diarrhea Cases in West Java Province in 2023
AU - Wahyudi, Tri
AU - Yuniar, Popy
AU - Rahmaniati, Martya
N1 - Publisher Copyright:
© 2024, Muhammadiyah Palu University. All rights reserved.
PY - 2024/9
Y1 - 2024/9
N2 - Introduction: Diarrhea have been being a significant public health threat for the community due to its impact on morbidity and even mortality especially among infants and toddlers. Understanding the pattern of diarrhea, how the key factors influence the prevalence of the disease and which areas are at the highest risk could help in controlling diarhhea. Objective: Through spatial autocorrelation analysis of diarrhea prevalence with several risk factors, such as open defecation behavior, population density, access to proper sanitation, availability of drinking water facilities, and the number of health centers in West Java Province in 2023, this study aims to identify which districts/cities in the province are at high risk of diarrhea. Method: This ecological study analyzed 27 districts/cities in West Java Province in 2023 using secondary data from Open Data Jabar. The dependent variable was the number of diarrhea cases, while independent variables included key factors influencing the prevalence of diarrhea. The Moran index was used for autocorrelation tests, The study used Geoda software version 1.22. Result: The study found positive autocorrelation pattern between diarrhea prevalence and population density. Negative autocorrelatios found for the other factors i.e. number of drinking water facilities, number of villages that stopped open defecation, number of health centers and number of households with access to healthy latrines. The risk analysis reveals four high risk districts: Ciamis, Bekasi, Bogor City and Depok City. Depok City has the highest score of 9, with with population density being the main contributing factor. Bogor City, Ciamis, and Bekasi have the next highest scores. Conclusion: Autocorrelation analysis can help understand diarrhea patterns and factors influencing its prevalence, provide guidance for program implementation and prioritization to address the most high risk areas. Key contributing factors to diarrhea prevention and control should be focused on specific interventions by district/city.
AB - Introduction: Diarrhea have been being a significant public health threat for the community due to its impact on morbidity and even mortality especially among infants and toddlers. Understanding the pattern of diarrhea, how the key factors influence the prevalence of the disease and which areas are at the highest risk could help in controlling diarhhea. Objective: Through spatial autocorrelation analysis of diarrhea prevalence with several risk factors, such as open defecation behavior, population density, access to proper sanitation, availability of drinking water facilities, and the number of health centers in West Java Province in 2023, this study aims to identify which districts/cities in the province are at high risk of diarrhea. Method: This ecological study analyzed 27 districts/cities in West Java Province in 2023 using secondary data from Open Data Jabar. The dependent variable was the number of diarrhea cases, while independent variables included key factors influencing the prevalence of diarrhea. The Moran index was used for autocorrelation tests, The study used Geoda software version 1.22. Result: The study found positive autocorrelation pattern between diarrhea prevalence and population density. Negative autocorrelatios found for the other factors i.e. number of drinking water facilities, number of villages that stopped open defecation, number of health centers and number of households with access to healthy latrines. The risk analysis reveals four high risk districts: Ciamis, Bekasi, Bogor City and Depok City. Depok City has the highest score of 9, with with population density being the main contributing factor. Bogor City, Ciamis, and Bekasi have the next highest scores. Conclusion: Autocorrelation analysis can help understand diarrhea patterns and factors influencing its prevalence, provide guidance for program implementation and prioritization to address the most high risk areas. Key contributing factors to diarrhea prevention and control should be focused on specific interventions by district/city.
KW - Autocorrelation
KW - Diarrhea
KW - Moran Index
UR - http://www.scopus.com/inward/record.url?scp=85209229557&partnerID=8YFLogxK
U2 - 10.56338/mppki.v7i9.5973
DO - 10.56338/mppki.v7i9.5973
M3 - Article
AN - SCOPUS:85209229557
SN - 2597-6052
VL - 7
SP - 2368
EP - 2376
JO - Media Publikasi Promosi Kesehatan Indonesia
JF - Media Publikasi Promosi Kesehatan Indonesia
IS - 9
ER -