遇见数据集

New York Times COVID Database

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Snowflake2022-10-31 更新2024-05-01 收录
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资源简介:

The New York Times COVID Database is a comprehensive and regularly updated dataset that tracks COVID-19 cases and deaths in the United States at national, state, and county levels. Developed and maintained by The New York Times, this dataset has been a critical resource for understanding and responding to the COVID-19 pandemic. Here's a commercial overview of the New York Times COVID Database: Origin and Purpose: 1. Pandemic Tracking: Established to track the spread of COVID-19, providing detailed data on cases and deaths. 2. Resource for Public Information: Aims to offer accessible and reliable data for the public, researchers, and policymakers. Key Components of the Dataset 1. Case and Death Counts: Detailed data on the number of confirmed COVID-19 cases and deaths. 2. Geographic Breakdown: Information is broken down by national, state, and county levels. 3. Temporal Data: Tracks the progression of the pandemic over time, including daily updates. 4. Vaccination Data: Includes data on vaccination rates where available. How YOU can leverage this data: 1. Public Health Response: Assists public health authorities and governments in tracking the spread of the virus and formulating responses. 2. Business Planning: Enables businesses to make informed decisions about closures, re-openings, and safety measures based on local pandemic data. 3. Academic and Clinical Research: Provides a valuable data source for epidemiological studies and public health research. 4. Media and Journalism: Aids journalists and media outlets in reporting accurately on the pandemic. 5. Policy Development: Informs policymakers in creating data-driven strategies to combat the pandemic.

提供机构:
Element Data
创建时间:
2022-10-28
搜集汇总
数据集介绍
New York Times COVID Database 数据集图片
背景与挑战
背景概述
《纽约时报》COVID数据库是一个全面、定期更新的数据集,用于追踪美国全国、州和县级的COVID-19病例与死亡数据。它包含地理和时间维度的详细信息,以及疫苗接种数据,旨在为公共卫生响应、商业规划、学术研究和政策制定提供支持。
以上内容由遇见数据集搜集并总结生成
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