Clustering with spatial constraints: The case of diarrhea in Bandung city, Indonesia

Autor:	Budi Nurani Ruchjana, Yudhie Andriyana, R Agata, I.G.N.M. Jaya
Rok vydání:	2019
Předmět:	History Diarrhea Disease surveillance Geography Geographical distance Statistics medicine Diarrheal disease medicine.symptom Cluster analysis Computer Science Applications Education Hierarchical clustering
Zdroj:	Journal of Physics: Conference Series. 1397:012068
ISSN:	1742-6596 1742-6588
Popis:	Clustering with spatial constraints was introduced in disease surveillance to identify high/low risk areas. These improve the geographical pattern of disease clustering. There are two types of spatial constraints, geographical distance and contiguity based. A Ward-like hierarchical clustering algorithm, including the spatial constraints, was employed on diarrheal data in Bandung city. Diarrhea is an infectious disease that causes death. The geographical distance was the best geographical dissimilarity for the diarrheal disease data. A five-cluster solution was determined to be optimal. Cluster two, which consists of three districts (Cibiru, Cinambo, Mandalajati), was considered as a high-risk cluster. It scored high on standardized incidence ratio which is caused by low on healthy house index and water quality index.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7df6a4af593759023f2a02248d6114c0 https://doi.org/10.1088/1742-6596/1397/1/012068 Zobrazit plný text záznamu