COVID-19数据集:全球传播日志,包括各国首例病例和首例死亡
全球COVID-19传播日志,包含186个国家首例病例和首例死亡的日期、年龄、传播链等表格数据,用于流行病学分析。
基本信息
资源简介
该数据集包含与COVID-19大流行相关的信息数据,特别关注每个国家的首例病例和首例死亡信息。数据集主要关注两个主要领域:第一个是首例病例,包括首例病例的日期、首日确诊病例数、首例患者的年龄、最后访问的国家等信息;第二个是首例死亡信息,包括首例死亡的日期和首例死亡患者的年龄,以及对应的洲。数据集还包含不同国家和地区的传播链的二元矩阵。此外,数据集还提供了从2019年11月17日至2020年5月16日,186个国家与COVID-19大流行相关的实用数据,以及8个独特的变量,这些变量提供了COVID-19传播性质的信息。
下载信息
注册下载
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使用方式
数据集获取
git clone https://github.com/hasu234/COVID-19-Dataset.git
curl -L -o repo.zip https://github.com/hasu234/COVID-19-Dataset/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
COVID-19-Dataset
Contain informative data related to COVID-19 pandemic. Specially, figure out about the First Case and First Death information for every single country. The datasets mainly focus on two major fields first one is First Case which consists of information of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the other one First Death information consist of Date of First Death and Age of the Patient who died first for every Country mentioning corresponding Continent. The datasets also contain the Binary Matrix of spread chain among different country and region.
*This is not a country. This is a ship. The name of the Cruise Ship was not given from the government.
“N+”: the age is not specified but greater than N
“No Trace”: some data was not found
“Unspecified”: not available from the authority
“N/A”: for “Last Visited Country(s) of Confirmed Case(s)” column, “N/A” indicates that the confirmed case(s) of those countries do not have any travel history in recent past; in “Age of First Death(s)” column “N/A” indicates that those countries do not have may death case till May 16, 2020.
Article Related to this Datasets
Abstract
The article represents coronavirus spread log history. The duration, coronavirus takes to spread from one country to another country, could be seen in this dataset and could predicted the same for future pandemics through this dataset. It is highly dependent on the cabalistic number of variables that is the main navel of these datasets. Information for this dataset is collected from trusted websites, local and international popular newspapers. This coronavirus dataset not only help to track the spreading route of coronavirus but also can be used for predicting the possible spreading route of similar future pandemics. This dataset consists of 186 countries’’ useful data related to COVID-19 pandemic from November 17, 2019, to May 16, 2020, with 8 unique variables that provide the information of the nature of the spread of COVID-19. The datasets mainly focus on two major fields, first one is First Case which consists of information of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the other one First Death information consist of Date of Fir
数据加载示例(表格/文本类)
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
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