Counts of COVID-19 reported in GAMBIA: 2020-2021
收藏DataCite Commons2024-07-09 更新2024-07-13 收录
下载链接:
https://zenodo.org/records/11450982
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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计数数据。第谷计划数据编目团队从各类权威来源提取此类病例计数数据,此类来源通常为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)与世界卫生组织(World Health Organization)。此类原始数据源涵盖开放获取与受限访问两类渠道。针对受限访问来源,第谷计划团队已获得数据贡献方的再分发许可。所有数据集所包含的病例计数数据均与原始数据源发布的统计数值完全一致,第谷计划团队未对任何计数数据进行修改,仅在针对某疾病与地区可获取的最优数据为日度聚合数据时,将单条病例计数数据聚合为日度统计值。第谷计划团队还通过新增标准化疾病与地区标识符等新变量对数据集进行预处理,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。所有国家层面与行政一级(admin1)层面的地理位置,只要可识别出一个或多个ISO代码,均保留其在原始数据源中的地理层级,除非原始数据源明确标注该地理位置的地理层级存在误差。若需了解编目团队的决策依据、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。
提供机构:
University of Pittsburgh
创建时间:
2022-08-12



