Pandemic severity indicator for COVID-19 in Germany dataset

The datasets included in this repository represent a pandemic severity indicator for the COVID-19 pandemic in Germany based on a composite indicator for the years 2020 and 2021. The pandemic severity index consists of three indicators: the incidence of patients tested positive for COVID-19, the incidence of patients with COVID-19 in intensive care, and the incidence of registered deaths due to COVID-19. The datasets have been developed within the CODIFF project (Socio-Spatial Diffusion of COVID-19 in Germany) at Leibniz Insitute for Research on Society and Space. The project received funding by Deutsche Forschungsgemeinschaft (DFG, project number 492338717). The datasets have been used in the following publications, in which further methodological details on the indicator can be found: Stabler, M., &amp; Kuebart, A. (2023). Tempo-spatial dynamics of COVID-19 in Germany: A phase model based on a pandemic severity indicator. <em>medRxiv</em>, 2023-02. Kuebart, A., &amp; Stabler, M. (2023). Waves in time, but not in space – An analysis of pandemic severity of COVID-19 in Germany. <em>Spatial and Spatio-temporal Epidemiology</em>, 2023. This repository consists of two files: <strong>pandemic_severity_germany </strong> This table contains the composite indicator for daily pandemic severity for Germany on the national scale as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention. <strong>pandemic_severity_counties</strong> This table contains the composite indicator for daily pandemic severity for Germany on the level of the 400 individual counties, as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention. The counties can be identified by name (kreis) or by county identification number (ags5)本仓库收录的数据集，为基于综合指标构建的2020至2021年德国新型冠状病毒肺炎（COVID-19）大流行严重程度指标数据集。该大流行严重程度指数由三项核心指标构成：新冠病毒检测阳性患者发病率、新冠重症监护病房收治患者发病率，以及新冠确诊死亡病例发病率。 本数据集由德国莱布尼茨社会与空间研究所（Leibniz Institute for Research on Society and Space）下属的CODIFF项目（德国境内新冠病毒的社会空间传播，Socio-Spatial Diffusion of COVID-19 in Germany）开发完成，并获得德国研究基金会（Deutsche Forschungsgemeinschaft, DFG，项目编号492338717）资助。 本数据集已应用于以下两篇已发表研究，相关指标的详细方法论说明可参阅下述文献： 1. Stabler, M. 与 Kuebart, A. (2023)：《德国新冠疫情的时空动态：基于大流行严重程度指标的阶段模型》，发表于医学预印本平台medRxiv，2023年2月。 2. Kuebart, A. 与 Stabler, M. (2023)：《时间维度的疫情浪潮，空间维度的缺失——德国新冠大流行严重程度分析》，发表于《Spatial and Spatio-temporal Epidemiology》（《空间与时空流行病学》），2023年。 本仓库包含两个数据文件： **pandemic_severity_germany**：该数据表包含德国国家级每日大流行严重程度综合指标，以及2020年3月1日至2021年12月31日期间每日的三项分项指标数据。分项指标数据来源于负责德国疾病防控的官方机构——罗伯特·科赫研究所（Robert Koch Institute）。 **pandemic_severity_counties**：该数据表包含德国400个独立县（郡）级别的每日大流行严重程度综合指标，以及2020年3月1日至2021年12月31日期间每日的三项分项指标数据。各县可通过名称（kreis）或县识别编号（ags5）进行标识。