Este archivo ha sido creado el 19/05/2022
 

GENERAL INFORMATION
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1. Dataset title:
The effect of altruism on COVID-19 vaccination rates [Dataset]


2. Authorship:

	Name: Hierro, Luis A.
	Institution: University of Seville
	Email: lhierro@us.es
	ORCID: https://orcid.org/0000-0002-5868-5589
	
	Name: Patiño, David
	Institution: University of Seville
	Email: pato@us.es
	ORCID: https://orcid.org/0000-0002-3313-561X

	Name: Atienza, Pedro
	Institution: University of Seville
	Email: atienza@us.es
	ORCID: https://orcid.org/0000-0002-5347-511X

	Name: Garzón, Antonio J.
	Institution: University of Seville
	Email: aggordon@us.es
	ORCID: https://orcid.org/0000-0003-4075-4926

	Name: Cantarero, David
	Institution: University of Cantabria
	Email: david.cantarero@unican.es
	ORCID: https://orcid.org/0000-0001-8082-0639

DESCRIPTION
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1. Dataset language: English


2. Abstract:
This database contains the date used in the paper "The Effect of Altruism on COVID-19 Vaccination Rates". The sample covers the countries of the European Union.
The database is made up of four sections. The first section includes the dataset including all the variables employed in the study. The second section includes raw data on total vaccination by country,
while the third includes this data transformed by linear interpolation to obtain a complete time series without missing data. The four sections include time series on the share of people vaccinated over the total population.

3. Keywords: 
Vaccination; altruism; linear interpolation


4. Date of data collection:
14-04-2022

5. Publication Date:
17-06-2022


6. Grant information:

	Grant Agency: Instituto de Investigación Marqués de Valdecilla 
	Grant Number: INNVAL20/03


7. Geographical location/s of data collection:

European Union



ACCESS INFORMATION
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1. Creative Commons License of the dataset: CC-BY


2. Dataset DOI:https://idus.us.es/handle/11441/134624



3. Related publication:
Hierro, L.A.; Patino, D.; Atienza, P.; Garzon, A.J. & Cantarero, D. (2022). The effect of altruism on COVID-19 vaccination rates. Medrxiv.



VERSIONING AND PROVENANCE
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1. Last modification date:
20-05-2022


2. Were data derived from another source?: Yes

- Hannah Ritchie, Edouard Mathieu, Lucas Rodés-Guirao, Cameron Appel, Charlie Giattino, Esteban Ortiz-Ospina, Joe Hasell, Bobbie Macdonald, Diana Beltekian and Max Roser (2020) - "Coronavirus Pandemic (COVID-19)".
Retrieved from: 'https://ourworldindata.org/coronavirus' [Online Resource].

- Van der Veen, O. (2021). Political Polarisation Compared: Creating a Comprehensive Index of Political Polarisation (Doctoral dissertation, Central European University).
 https://drive.google.com/drive/folders/1sErZ3Ib- Z3eEr_zXqJ68PWnI-ksVxVxU

- Global Observatory on Donation and Transplantation (GODT) (http://www.transplantobservatory.org/).


METHODOLOGICAL INFORMATION
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1. Data processing methods:

- "Total vaccinated": Since some countries have published data on vaccinations less frequently than daily or have not published data on certain days of the week, a linear interpolation has been carried out between the value of the previous day and the value of the following day. For those countries in which data ends before the end of the sample, the data of the last available day is extended.
- "% vaccinated": The total vaccinated in each country is divided by the total population in 2020 (latest available)
- "average_speed": It is obtained by dividing the total number of vaccinated by the number of days since the start of the vaccination campaign, which we set on 08-12-2020.

2. Software or instruments needed to interpret the data:
Microsoft Office Excel


FILE OVERVIEW 
----------------------
1. File list:

	File name: Data.xlsx
	Description: This file contains a datset with the variables used in "..." as well as the raw data used to obtain the variables.

2. File format: xlsx


SPECIFIC INFORMATION FOR TABULAR DATA
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1. Name file: Data.xlsx --> Sheet: "Dataset"

2. Number of rows and columns: 27 x 25

3. Variables list:

Variable name: "country"
Description: Country to which the data refer.

Variable name: "polarisation_index"
Description: Index that measure the level of polarisation in a country.
Unit of measure: Índex from 0 to 10.

Variable name: "former_eastern"
Description: Dummy variable that takes value 1 for countries which belonged to the Eastern Bloc.
Unit of measure: Dummy variable

Variable name: "donac_org_pob"
Description: Organ donations which take place in a country in year ...
Unit of measure: Percentage of donations over the total population

Variable name: "transplants_pob"
Description: Organ transplants which take place in a contry in year...
Unit of measure: Percentage of transplants over the total population

Variable name: "month_year"
Description: Percentage of people vaccinated over total population on day 7th of each month. This variable is repeated for all months from January 2021 to April 2022.
Unit of measure: Percentage of people vaccinated over total population

Variable name: "max_date"
Description: Date on which the maximun vaccination speed, calculated as the coefficient between the level of vaccination and the number of days since the start of the vaccination campaign, is reached.
Unit of measure: Date

Variable name: "max_speed"
Description: Average maximum vaccination speed reached.
Unit of measure: Percentage of vaccinated per day

Variable name: "days_to_max"
Description: Number of days from the start of the vaccination campaign until the maximum average vaccination speed is reached.
Unit of measure: Number of days

4. Codes or symbols for missing data: 

	Code or symbol: empty cell
	Definition: Data is not available
---------------------------------------------

1. Name file: Data.xlsx --> Sheet: "Vaccines raw data (total)"

2. Number of rows and columns: 493 x 27

3. Variables list:

Variable name: "Date"
Description: Date
Unit of measure: Date

Variable name: Total vaccinated by country
Description: People vaccinated by country
Unit of measure: Number of person

----------------------------------------------

1. Name file: Data.xlsx --> Sheet: "Vaccines interpolated (total)"

2. Number of rows and columns: 493 x 27

3. Variables list:

Variable name: "Date"
Description: Date
Unit of measure: Date

Variable name: Total vaccinated by country (interpolated)
Description: People vaccinated by country with interpolated data for the days in which data is missing
Unit of measure: Number of person

-----------------------------------------------

1. Name file: Data.xlsx --> Sheet: "Vaccines interpolated (% pob)"

2. Number of rows and columns: 493 x 27

3. Variables list:

Variable name: "Date"
Description: Date
Unit of measure: Date

Variable name: % vaccinated by country (interpolated)
Description: Percentage of vaccinated by country with interpolated data for the days in which data is missing
Unit of measure: Percentage of people vaccinated over the total population