Counts of COVID-19 reported in AFGHANISTAN: 2019-2021
收藏DataCite Commons2024-07-09 更新2024-07-13 收录
下载链接:
https://zenodo.org/records/11450168
下载链接
链接失效反馈官方服务:
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报告的各类疾病病例数数据。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,来源通常涵盖国家或国际卫生主管部门,例如美国疾病控制与预防中心(U.S. Centers for Disease Control and Prevention)、世界卫生组织(World Health Organization)。上述原始数据源包含开放获取与受限访问两类资源,针对受限访问数据源,第谷计划团队已获取数据贡献者的再分发许可。所有数据集的病例数数据均与原始数据源发布的计数完全一致,第谷计划团队未对任何计数进行修改,仅当某疾病对应地区的最佳可用数据为每日聚合数据时,才会将个体病例数聚合为每日计数。第谷计划团队还对数据集开展了预处理工作,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ISO代码(ISO code),均保留了数据源中的原有地理层级,除非数据源明确标注该地区的地理层级存在不准确问题。若需了解整理团队的决策依据、推荐数据处理流程及所用数据源详情,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



