SPATIAL AND TEMPORAL ANALYSIS OF COVID-19 CASES DISTRIBUTION IN SUKOHARJO REGENCY

Jurnal Berkala Epidemiologi Pub Date : 2023-05-30 DOI:10.20473/jbe.v11i22023.151-159

Wulan Istri Hastari, Diaz Amel Lolita, Lukman Fauzi

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Abstract

Background: COVID-19 has become a public health challenge in Sukoharjo Regency, as its cumulative cases reached 15,258 confirmed cases with 1,380 deaths (CFR 9.04%). Spatial and temporal analysis can provide an overview of the spatial and temporal factors associated with the disease and explain the analysis of the disease distribution in a population to clarify the transmission mechanism. Purpose: This study aimed to provide an overview of the spatial and temporal distribution of COVID-19 cases in the Sukoharjo Regency and determine the spatial autocorrelation of the distribution of COVID-19 cases in the Sukoharjo Regency. Methods: This was an observational study with an ecological design. The data used was Secondary data collected from the Health Office of Sukoharjo, with the population of all COVID-19 confirmed cases recorded by the Health Office of Sukoharjo from 2020 to 2021. The sample was 15,528 patients. Results: The highest number of COVID-19 cases in Sukoharjo Regency was found in the Baki Sub-district (242.23/10,000 people). In comparison, the lowest number of cases was found in the Polokarto Sub-district (114.60/10,000 people). The Sukoharjo Regency experienced two waves of COVID-19, and its peak occurred in July 2021. The results showed spatial dependence in the COVID-19 case distribution with a Moran’sI value of 0.36, z-score of 7.50, and p-value <0.01. Conclusion: The highest number of COVID-19 findings occurred in July 2021, and there was spatial autocorrelation in the distribution of COVID-19 cases in the Sukoharjo Regency with a clustered transmission pattern.

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苏科哈霍县COVID-19病例分布时空分析

背景：新冠肺炎已成为Sukoharjo Regency的公共卫生挑战，其累计确诊病例达到15258例，死亡1380例（CFR 9.04%）。空间和时间分析可以提供与疾病相关的空间和时间因素的概述，并解释疾病在人群中分布的分析，以澄清传播机制。目的：本研究旨在概述Sukoharjo县新冠肺炎病例的空间和时间分布，并确定SukoharjoRegency县新冠肺炎病例分布的空间自相关。方法：这是一项生态设计的观察性研究。所使用的数据是从Sukoharjo卫生办公室收集的二级数据，2020年至2021年，Sukoharho卫生办公室记录的所有新冠肺炎确诊病例的人口。样本为15528名患者。结果：Sukoharjo县新冠肺炎病例数最高的是Baki Sub-district（242.23/1000人）。相比之下，Polokarto街道的病例数最低（114.60/1000人）。Sukoharjo摄政区经历了两波新冠肺炎，高峰出现在2021年7月。结果显示新冠肺炎病例分布的空间依赖性，Moran'sI值为0.36，z评分为7.50，p值<0.01。

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Jurnal Berkala Epidemiologi

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