Counts of COVID-19 reported in TOKELAU: 2020-2021
收藏NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.tycho.pitt.edu/dataset/TK.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.
Project Tycho数据集涵盖全球各国上报的各类疾病病例数统计数据。Project Tycho数据编目团队从各类权威来源提取上述病例数,此类来源通常为国家或国际卫生机构,例如美国疾病控制与预防中心(US Centers for Disease Control)与世界卫生组织(World Health Organization)。
上述原始数据源涵盖开放获取与受限访问两类渠道。针对受限访问数据源,Project Tycho团队已获得数据贡献方的再分发许可。
所有数据集收录的病例数数据均与原始来源发布的统计结果完全一致,Project Tycho团队未对任何统计数值进行修改,仅在针对某一疾病与地区的最佳可用数据为单日汇总病例数时,将单条病例数数据聚合为日度统计值。
Project Tycho团队已对数据集开展预处理工作,新增标准化疾病与地区标识符等变量以提升数据可解释性。此外,团队还将数据格式统一为标准格式。
所有国家及一级行政区(admin1 level)的地理点位均已按照数据源指定的地理层级进行呈现,前提是可识别其对应的ISO代码;若数据源明确标注点位的地理层级存在误差,则不受此限。
若需了解编目团队的决策依据、推荐数据处理流程及所用数据源详情,请参阅数据集下载压缩包中附带的自述文件(README)。
创建时间:
2022-08-12



