Abstract

The prevalence of tuberculosis (TBC) in children tends to increase and become a serious public health problem. The higher case of TBC in children requires comprehensive surveillance. Surveillance can be carried out by clustering the cases of TBC in children based on region. One of the clustering methods that can be used is the K-Means method. Furthermore, Geographic Information Systems (GIS) has been successfully used in health fields and have the advantages in the processing and presentation of spatial and non-spatial information. The present research aims to classify the cases of TBC in children using K-Means clustering and identify the distribution patterns using GIS. Based on the analysis, the spatial pattern of the distribution of TBC in children can be categorized into: areas with high prevalence, areas with moderate prevalence, and areas with low prevalence. The result can be used to help decision making in controlling the cases of TBC in children.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.