Kartika Dian Pertiwi, T. Widyaningsih, Pramudya Teguh Sucipto
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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。
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.
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