covid_hospitalizations_by_week

View metadata for key information about this dataset. This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities). For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data. See also the following related datasets: COVID Hospitalizations by Age COVID Hospitalizations by Date COVID Hospitalizations by Race COVID Hospitalizations by Sex COVID Hospitalizations by ZIP Code For questions about this dataset, contact [e-mail]. For technical assistance, email [e-mail].请查阅元数据以获取本数据集的核心信息。本数据集面向公众开放使用。为保护居民隐私，费城公共卫生部（Philadelphia Department of Public Health, PDPH）将对各类别（如检测量、死亡数）中计数少于6的数据进行隐匿处理。为保障分析与报告的最高精度，请使用最新版本的数据集，而非2020年9月29日之前下载的历史数据。目前所有数据集均以样本采集日期作为计数依据，而非此前展示的检测结果日期；此类调整将对每日确诊病例数等数据产生修正影响。此外，费城公共卫生部还补全了此前数据中遗漏的376例新冠确诊病例（即核酸检测阳性结果）。另可参考以下关联数据集：按年龄划分的新冠住院病例数据（COVID Hospitalizations by Age）、按日期划分的新冠住院病例数据（COVID Hospitalizations by Date）、按种族划分的新冠住院病例数据（COVID Hospitalizations by Race）、按性别划分的新冠住院病例数据（COVID Hospitalizations by Sex）、按邮政编码划分的新冠住院病例数据（COVID Hospitalizations by ZIP Code）。若对本数据集有疑问，请发送邮件至[e-mail]；如需技术支持，请联系[e-mail]。