COVID-19 World Vaccination Progress

### Context

Data is collected daily from [**Our World in Data**](https://ourworldindata.org/) GitHub repository for [covid-19](https://github.com/owid/covid-19-data), merged and uploaded. Country level vaccination data is gathered and assembled in one single file. Then, this data file is merged with locations data file to include vaccination sources information. A second file, with manufacturers information, is included.

### Content

The data (country vaccinations) contains the following information:
* **Country**- this is the country for which the vaccination information is provided;
* **Country ISO Code** - ISO code for the country;
* **Date** - date for the data entry; for some of the dates we have only the daily vaccinations, for others, only the (cumulative) total;
* **Total number of vaccinations** - this is the absolute number of total immunizations in the country;
* **Total number of people vaccinated** - a person, depending on the immunization scheme, will receive one or more (typically 2) vaccines; at a certain moment, the number of vaccination might be larger than the number of people;
* **Total number of people fully vaccinated** - this is the number of people that received the entire set of immunization according to the immunization scheme (typically 2); at a certain moment in time, there might be a certain number of people that received one vaccine and another number (smaller) of people that received all vaccines in the scheme;
* **Daily vaccinations (raw)** - for a certain data entry, the number of vaccination for that date/country;
* **Daily vaccinations** - for a certain data entry, the number of vaccination for that date/country;
* **Total vaccinations per hundred** - ratio (in percent) between vaccination number and total population up to the date in the country;
* **Total number of people vaccinated per hundred** - ratio (in percent) between population immunized and total population up to the date in the country;
* **Total number of people fully vaccinated per hundred** - ratio (in percent) between population fully immunized and total population up to the date in the country;
* **Number of vaccinations per day** - number of daily vaccination for that day and country;
* **Daily vaccinations per million** - ratio (in ppm) between vaccination number and total population for the current date in the country;
* **Vaccines used in the country** - total number of vaccines used in the country (up to date);
* **Source name** - source of the information (national authority, international organization, local organization etc.);
* **Source website** - website of the source of information;

There is a second file added recently (country vaccinations by manufacturer), with the following columns:
* **Location** - country;
* **Date** - date;
* **Vaccine** - vaccine type;
* **Total number of vaccinations** - total number of vaccinations / current time and vaccine type.

### Acknowledgements

I would like to specify that I am only making available **Our World in Data** collected data about vaccinations to Kagglers. My contribution is very small, just daily collection, merge and upload of the updated version, as maintained by **Our World in Data** in their GitHub repository.

### Inspiration

Track COVID-19 vaccination in the World, answer instantly to your questions:
- Which country is using what vaccine?
- In which country the vaccination programme is more advanced?
- Where are vaccinated more people per day? But in terms of percent from entire population ?

Combine this dataset with [COVID-19 World Testing Progress](https://www.kaggle.com/gpreda/covid19-world-testing-progress) and [COVID-19 Variants Worldwide Evolution](https://www.kaggle.com/gpreda/covid19-variants) to get more insights on the dynamics of the pandemics, as reflected in the interdependence of amount of testing performed, results of sequencing and vaccination campaigns.

### 背景说明
数据每日从[**我们的世界数据**](https://ourworldindata.org/)的GitHub仓库中收集自[covid-19](https://github.com/owid/covid-19-data)数据集，经合并后上传。各国疫苗接种数据被搜集并汇总至单一文件中。随后，该数据文件与地理位置数据文件合并，以包含疫苗接种来源信息。此外，还增加了一个包含制造商信息的第二个文件。

### 数据内容
所提供的数据（国家疫苗接种数据）包含以下信息：
* **国家** - 此为国家提供的疫苗接种信息所属的国家；
* **国家 ISO 代码** - 该国家的 ISO 代码；
* **日期** - 数据录入的日期；对于某些日期，我们只有每日疫苗接种数据，而对于其他日期，则只有（累计）总数；
* **疫苗接种总数** - 该国家绝对的总疫苗接种量；
* **已接种疫苗的总人数** - 一个人根据免疫方案，可能接种一剂或多剂（通常为两剂）疫苗；在某一特定时刻，疫苗接种人数可能超过总人口数；
* **完全接种疫苗的总人数** - 按照免疫方案已接种完整剂次的人数（通常为两剂）；在某一特定时刻，可能会有一定数量的人接种了一剂疫苗，而另一数量（较小）的人接种了方案中的所有疫苗；
* **每日疫苗接种数（原始数据）** - 某一特定日期/国家的疫苗接种数；
* **每日疫苗接种数** - 某一特定日期/国家的疫苗接种数；
* **每百人疫苗接种总数** - 到该国日期为止，疫苗接种数与总人口的比例（百分比）；
* **每百人已接种疫苗的总人数** - 到该国日期为止，已接种疫苗的人口与总人口的比例（百分比）；
* **每百人完全接种疫苗的总人数** - 到该国日期为止，完全接种疫苗的人口与总人口的比例（百分比）；
* **每日疫苗接种数** - 某一特定日期和国家的每日疫苗接种数；
* **每百万人口疫苗接种数** - 到该国当前日期为止，疫苗接种数与总人口的比例（ppm）；
* **该国使用的疫苗** - 到目前为止，该国使用的疫苗总数；
* **信息来源名称** - 信息来源（国家当局、国际组织、地方组织等）；
* **信息来源网站** - 信息来源的网站；

新增的第二个文件（按制造商划分的国家疫苗接种数据）包含以下列：
* **地理位置** - 国家；
* **日期** - 日期；
* **疫苗类型** - 疫苗类型；
* **疫苗接种总数** - 某一特定时间点和疫苗类型的疫苗接种总数。

### 致谢
我想要明确指出，我仅向Kagglers提供**我们的世界数据**收集的疫苗接种数据。我的贡献微乎其微，仅限于每日收集、合并和上传更新版本，如**我们的世界数据**在他们的GitHub仓库中所维护。

### 灵感
追踪全球COVID-19疫苗接种情况，即时回答您的疑问：
- 哪个国家正在使用哪种疫苗？
- 哪个国家的疫苗接种计划更为先进？
- 每天接种人数最多的地方在哪里？但从整个人口百分比的角度来看呢？
将此数据集与[COVID-19世界检测进展](https://www.kaggle.com/gpreda/covid19-world-testing-progress)和[全球COVID-19变种进化](https://www.kaggle.com/gpreda/covid19-variants)相结合，以获得更多关于大流行病动态的见解，这反映在检测量、测序结果和疫苗接种活动之间的相互依赖性。