新冠病毒变异株及疫苗接种数据集

通过爬虫等技术爬取疫情统计数据网站的疫情发展数据，包括美国疾病控制中心新冠疫情数据，美国霍普金斯大学疫情统计数据，中国疾病控制中心数据；爬取数据基本按照日期进行排列，是时间序列数据。通过该数据集，可以分析不同时间段，不同地区，不同人群新冠发展情况，从而得出不同疫苗针对不同变异病毒的防御能力。This dataset consists of epidemic development data scraped from epidemic statistics websites via technologies such as web crawlers. The included datasets cover COVID-19-related statistics from the U.S. Centers for Disease Control and Prevention (CDC), epidemic surveillance data from Johns Hopkins University in the United States, and data released by the Chinese Center for Disease Control and Prevention (China CDC). All scraped records are primarily arranged chronologically, making this a time-series dataset. Leveraging this dataset, users can analyze COVID-19 transmission and development trends across different time periods, regions and demographic groups, thereby enabling the assessment of the protective effectiveness of various vaccines against different SARS-CoV-2 variants.

搜集汇总

背景与挑战

背景概述

该数据集通过爬虫技术从多个权威疫情统计网站收集时间序列数据，涵盖新冠疫情发展信息。它旨在分析不同时间、地区和人群的疫情变化，以评估疫苗针对各种变异病毒的防护效果。