five

Counts of COVID-19 reported in PUERTO RICO: 2020-2021

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://www.tycho.pitt.edu/dataset/PR.840539006
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.

第谷项目(Project Tycho)数据集收录了全球各国上报的各类疾病病例统计数据。第谷项目的数据整理团队从各类可信来源提取上述病例统计数据,来源通常为国家或国际卫生主管部门,例如美国疾病控制和预防中心(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,第谷项目团队已获得数据提供方的再分发许可。所有数据集收录的病例统计数据均与原始数据源发布的统计结果完全一致,第谷项目团队未对任何统计数值进行修改,仅在针对某一疾病及对应地区的最优可用数据为按日聚合的统计值时,将单日病例数据汇总为日度统计数据。第谷项目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。所有国家及一级行政区域级别的地理点位,只要可识别出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点位的地理层级不准确。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的更多详情,请查阅数据集下载ZIP压缩包中附带的README文件。
创建时间:
2022-08-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作