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波兰西里西亚省 SARS-CoV-2 感染的空间变异性。

Spatial variability of SARS-CoV-2 infection in the Silesian voivodeship, Poland.

机构信息

Medical University of Silesia, Faculty of Medical Sciences in KatowiceDepartment of Epidemiology.

State Sanitary Inspection, Provincial Sanitary And Epidemiological Station in Katowice.

出版信息

Przegl Epidemiol. 2020;74(3):432-440. doi: 10.32394/pe.74.36.

Abstract

INTRODUCTION

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) and related to infection COVID-19 (coronavirus disease 2019) remain a new and global challenge for public health. Due to the location, specifics of employment, and the high density of population in the Silesia voivodeship it is appropriate to study the available epidemiological data in a region with a potentially higher risk of infection.

MATERIAL AND METHODS

In the descriptive model of the study, data on the number of infected, hospitalized, and dead people due to SARS-CoV-2 infection were analyzed. The source of information was daily reports conducted by the Provincial Sanitary and Epidemiological Station in Katowice, in the period from March 5 to August 18, 2020.

RESULTS

Results of antigenic molecular tests for SARS-CoV-2 infection in the Silesian voivodeship indicate that in the first half of 2020, the infection rate was approximately 5% and the symptomatic form of the disease was approximately 20%.

CONCLUSIONS

The analysis of the frequency of infection and mortality in the poviats reveals a large variation in the occurrence of both phenomena, but the explanation of this difference is not possible due to the descriptive nature of the analysis and the secondary form of epidemiological data.

摘要

简介

SARS-CoV-2(严重急性呼吸综合征冠状病毒 2)与相关的 COVID-19(2019 年冠状病毒病)感染仍然是公共卫生领域的新的全球性挑战。由于西里西亚省的地理位置、就业特点和人口密度较高,因此研究该地区可能存在更高感染风险的现有流行病学数据是合适的。

材料与方法

在研究的描述性模型中,分析了因 SARS-CoV-2 感染而导致的感染人数、住院人数和死亡人数的数据。信息来源是卡托维兹省卫生与流行病学站每天进行的报告,报告时间为 2020 年 3 月 5 日至 8 月 18 日。

结果

SARS-CoV-2 感染抗原分子检测的结果表明,2020 年上半年,感染率约为 5%,疾病的症状形式约为 20%。

结论

对各州县感染和死亡率的分析表明,这两种现象的发生存在很大差异,但由于分析的描述性性质和流行病学数据的二级形式,无法解释这种差异。

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