Mapping Indonesia's Covid-19 Death Case with Comorbidities Using Correspondence Analysis

Melinda Putri Utami, None Rosita Kusumawati
{"title":"Mapping Indonesia's Covid-19 Death Case with Comorbidities Using Correspondence Analysis","authors":"Melinda Putri Utami, None Rosita Kusumawati","doi":"10.33830/jmst.v24i2.5142.2023","DOIUrl":null,"url":null,"abstract":"This research aims to map and identify COVID-19 deaths with comorbidities in Indonesia using correspondence analysis. The data collection technique involved the analysis of 6231 samples of COVID-19 death cases with comorbidities in Indonesia from the official website of the COVID‑19 Response Acceleration Task Force. The variables used were the number of COVID-19 deaths with comorbid hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, kidney disease, immune disorders, liver disease, cancer, asthma, pregnancy, tuberculosis, and other respiratory disorders. The findings from this study divide four groups of provinces with characteristics: Group One with the characteristics of COVID-19 death cases with comorbid hypertension, diabetes mellitus, heart disease, kidney disease, lung disease, immune disorders, and cancer; Group Two with the characteristics of COVID-19 death cases with comorbid pregnancy, liver disease, and tuberculosis; Group Three with the characteristics of COVID-19 death cases with comorbid asthma; and Group Four with the characteristics of COVID-19 death cases with other comorbid respiratory disorders.","PeriodicalId":493950,"journal":{"name":"Jurnal Matematika, Sains dan Teknologi","volume":"16 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Matematika, Sains dan Teknologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33830/jmst.v24i2.5142.2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This research aims to map and identify COVID-19 deaths with comorbidities in Indonesia using correspondence analysis. The data collection technique involved the analysis of 6231 samples of COVID-19 death cases with comorbidities in Indonesia from the official website of the COVID‑19 Response Acceleration Task Force. The variables used were the number of COVID-19 deaths with comorbid hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, kidney disease, immune disorders, liver disease, cancer, asthma, pregnancy, tuberculosis, and other respiratory disorders. The findings from this study divide four groups of provinces with characteristics: Group One with the characteristics of COVID-19 death cases with comorbid hypertension, diabetes mellitus, heart disease, kidney disease, lung disease, immune disorders, and cancer; Group Two with the characteristics of COVID-19 death cases with comorbid pregnancy, liver disease, and tuberculosis; Group Three with the characteristics of COVID-19 death cases with comorbid asthma; and Group Four with the characteristics of COVID-19 death cases with other comorbid respiratory disorders.
使用对应分析绘制印度尼西亚Covid-19死亡病例与合并症
本研究旨在利用对应分析绘制和确定印度尼西亚的COVID-19死亡伴合并症。数据收集技术涉及分析来自COVID-19应对加速工作队官方网站的印度尼西亚6231例COVID-19合并死亡病例样本。使用的变量是合并高血压、糖尿病、心血管疾病、慢性阻塞性肺病、肾脏疾病、免疫疾病、肝病、癌症、哮喘、妊娠、结核病和其他呼吸系统疾病的COVID-19死亡人数。本研究结果将省分为四组特征:一组以新冠肺炎死亡病例合并高血压、糖尿病、心脏病、肾病、肺病、免疫系统疾病和癌症为特征;第二组以COVID-19死亡病例为特征,合并妊娠、肝病、结核病;第三组为具有新冠肺炎死亡合并哮喘特征的病例;第四组为新冠肺炎死亡病例合并其他呼吸系统疾病特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信