Counts of COVID-19 reported in UNITED KINGDOM: 2019-2021
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.tycho.pitt.edu/dataset/GB.840539006
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资源简介:
Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.
第谷计划(Project Tycho)数据集收录了全球各国上报的各类疾病的病例数统计数据。第谷计划数据整理团队从各类权威数据源提取此类病例数统计数据,此类数据源通常来自国家或国际卫生主管机构,例如美国疾病控制与预防中心(US Centers for Disease Control)以及世界卫生组织(World Health Organization)。原始数据源涵盖开放获取与受限获取两类。针对受限获取数据源,第谷计划团队已获得数据贡献方的再分发许可。所有数据集均完整保留原始发布源中刊载的病例数统计值,第谷计划团队未对任何统计数值进行任何形式的修改;仅当针对某一疾病与地区的最佳可用数据为日度聚合数据时,团队才会将单条病例数统计数据聚合为日度统计值。第谷计划团队还对数据集进行了预处理,新增了标准化疾病与地区标识符等变量,以提升数据的可解释性,同时将数据统一格式化为标准数据格式。所有国家及行政一级(admin1)的地理区域,只要可识别出对应的ISO代码,均会被映射至与数据源一致的地理层级;若数据源明确标注该地区的地理层级存在不准确情况,则不受此限制。如需了解整理团队的决策依据、推荐的数据处理流程及所用数据源的更多详情,请查阅数据集下载压缩包中附带的README文件。
创建时间:
2022-08-12



