@inproceedings{7462a3d90f1845c6bbffc810313f25ec,
title = "Mobile Application for Acute Respiratory Infection Clustering",
abstract = "Industrial and transport contamination has become the leading cause of acute respiratory infection (ARI) in major cities such as Surabaya. Geographical and social factors also influence the ARI spread pattern. The Geographic Information System (GIS) is one of the essential epidemiological tools to identify high-risk population groups and geographic areas of ARI. In this paper, we developed a mobile application that provides ARI evidence with related resources, such as geographic and demographic factors. Evidence is grouped and visualized using k - means and Geographic Information Systems (GIS) to evaluate disease distribution patterns and provide better visualization. The evaluation results showed that the application developed was excellent and appropriate to simulate the process of ARI propagation.",
author = "Faried Effendy and Taufik and Hismoyo Narendra",
note = "Publisher Copyright: {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.; International Conference on Mathematics, Computational Sciences, and Statistics 2022, ICoMCoS 2022 ; Conference date: 02-10-2022 Through 03-10-2022",
year = "2023",
month = dec,
day = "22",
doi = "10.1063/5.0181063",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
number = "1",
editor = "Elly Pusporani and Nashrul Millah and Eva Hariyanti",
booktitle = "AIP Conference Proceedings",
edition = "1",
}