Kartika Dian Pertiwi, T. Widyaningsih, Pramudya Teguh Sucipto
{"title":"Analisis Spasio-Temporal COVID-19 Di Kabupaten Semarang Pada Bulan September Hingga November Tahun 2021","authors":"Kartika Dian Pertiwi, T. Widyaningsih, Pramudya Teguh Sucipto","doi":"10.35473/proheallth.v4i1.1806","DOIUrl":null,"url":null,"abstract":"ABSTRACTThe percentage of active Covid-19 cases in Semarang Regency is 20.97%, exceeding the national percentage of 14.8%. Implementation of Covid-19 surveillance using control management based on spatial or regional data to determine distribution patterns and facilitate monitoring of the spread of the Covid-19 virus. This type of research is descriptive using a cross sectional approach. The sampling technique used was purposive sampling with a total sample of 241 cases. The data collection tool uses the GPS Essential app. Spatio-temporal analysis using ArcGis 10.7. The results of the study using the Nearest Neighbor Test Analysis showed the pattern of distribution of positive confirmed cases of Covid-19 in September the value of Nearest Neighbor Ratio = 0.465340 which means <1 indicates that the distribution pattern is clustered. Pattern of Distribution of Positive Confirmation Cases of Covid-19 In October the value of Nearest Neighbor Ratio = 1.001926 which means > 1 indicates that the distribution of positive confirmed cases of Covid-19 in Semarang Regency is random. Distribution Pattern of Positive Confirmation Cases of Covid-19 In November the value of Nearest Neighbor Ratio = 1.103031 which means >1 indicates that the distribution pattern is random. The prevalence of Covid-19 cases in Semarang Regency from September to November 2021 has decreased. The pattern of distribution of positive confirmed cases of Covid-19 in September is clustered, October is random, and November is random. Suggestions for the Semarang District Health Office to improve close contact tracing and cross-sectoral collaboration in collecting data on Covid-19 cases. Keywords: Spatio-Temporal, Covid-19, Semarang District Health Office.","PeriodicalId":319742,"journal":{"name":"Pro Health Jurnal Ilmiah Kesehatan","volume":"39 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pro Health Jurnal Ilmiah Kesehatan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35473/proheallth.v4i1.1806","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

摘要三宝垄县新冠肺炎活动性病例比例为20.97%,超过全国14.8%的比例。利用基于空间或区域数据的控制管理实施Covid-19监测,以确定分布模式并促进对Covid-19病毒传播的监测。这种类型的研究是描述性的,使用横断面方法。采用目的抽样方法,共抽样241例。数据采集工具使用GPS Essential应用,时空分析使用ArcGis 10.7。采用最近邻检验分析的研究结果显示,9月份新冠病毒阳性确诊病例的分布规律,最近邻比= 0.465340,即1表示三宝朗县新冠病毒阳性确诊病例的分布是随机的。11月新型冠状病毒阳性确诊病例分布格局最近邻比= 1.103031,即>1表明分布格局为随机分布。2021年9月至11月三宝垄县的Covid-19病例流行率有所下降。9月呈聚集性分布,10月呈随机分布,11月呈随机分布。对三宝垄区卫生局加强密切接触者追踪和跨部门合作收集Covid-19病例数据的建议。关键词:时空;Covid-19;三宝垄区卫生办公室
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analisis Spasio-Temporal COVID-19 Di Kabupaten Semarang Pada Bulan September Hingga November Tahun 2021
ABSTRACTThe percentage of active Covid-19 cases in Semarang Regency is 20.97%, exceeding the national percentage of 14.8%. Implementation of Covid-19 surveillance using control management based on spatial or regional data to determine distribution patterns and facilitate monitoring of the spread of the Covid-19 virus. This type of research is descriptive using a cross sectional approach. The sampling technique used was purposive sampling with a total sample of 241 cases. The data collection tool uses the GPS Essential app. Spatio-temporal analysis using ArcGis 10.7. The results of the study using the Nearest Neighbor Test Analysis showed the pattern of distribution of positive confirmed cases of Covid-19 in September the value of Nearest Neighbor Ratio = 0.465340 which means <1 indicates that the distribution pattern is clustered. Pattern of Distribution of Positive Confirmation Cases of Covid-19 In October the value of Nearest Neighbor Ratio = 1.001926 which means > 1 indicates that the distribution of positive confirmed cases of Covid-19 in Semarang Regency is random. Distribution Pattern of Positive Confirmation Cases of Covid-19 In November the value of Nearest Neighbor Ratio = 1.103031 which means >1 indicates that the distribution pattern is random. The prevalence of Covid-19 cases in Semarang Regency from September to November 2021 has decreased. The pattern of distribution of positive confirmed cases of Covid-19 in September is clustered, October is random, and November is random. Suggestions for the Semarang District Health Office to improve close contact tracing and cross-sectoral collaboration in collecting data on Covid-19 cases. Keywords: Spatio-Temporal, Covid-19, Semarang District Health Office.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Gambaran Keluhan Muskuloskeletal Disorder pada Pekerja Pemecah Batu di Leyangan, Ungaran Timur Studi Korelasi Pengetahuan dengan Tingkat Kecemasan Ibu Dalam Menghadapi Menopause di Desa Jetak Kecamatan Getasan Prevalensi dan Risk Assessment Kejadian Hipertensi pada Petani Wanita di Desa Sumowono Analisis Hygiene dan Sanitasi Peralatan pada Pedagang Penjual Makanan Jajanan di Pasar Tradisional di Kabupaten Semarang Persepsi Budaya Masyarakat Terhadap Kunjungan Ibu Hamil di Pustu Wonorejo Puskesmas Pringapus Kabupaten Semarang
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1