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IPAG (version 0.1.0)

covid19: My dataset from CSV

Description

This dataset was imported from a CSV file and included in the IPAG package for demonstration. The reference article is Escobar, L. E., Molina-Cruz, A., & Barillas-Mury, C. (2020). BCG vaccine protection from severe coronavirus disease 2019 (COVID-19). Proceedings of the National Academy of Sciences, 117(30), 17720-17726.

Usage

data(covid19)

Arguments

Format

A data frame with the following variables:

total_deaths_per_million

Number of deaths per million inhabitants as of April 22, 2020.

country

The name of the country.

Cal2013

Daily caloric intake.

ca2014

Per capita CO2 emissions in 2014.

BMI

Body mass index in 2016 (male population).

Sras

Number of people who died of SARS in 2004.

dtp3_2011

Proportion of children under one year of age vaccinated with the DTP vaccine (diphtheria, tetanus, poliomyelitis) in 2011.

BCG_policy

BCG vaccination policy: "current", "never" or "interrupted".

lati

Latitude of the country's capital.

longi

Longitude of the country's capital.

Trade2018

Imported and exported goods as a percentage of GDP in 2018.

H2015

Health expenditure per capita in 2015.

Health2010

Percentage of the state budget allocated to health in 2010.

TB

Number of tuberculosis cases per 100,000 inhabitants.

PIBhab

GDP per capita.

Superf

Area of the country.

Demo

Democracy index of the country.

HDI_2018

Human Development Index in 2018.

Expectancy

Life expectancy at birth.

Children

Number of children per woman.

PopulationD

Population density of the country.

Pop

Total population of the country.number of children per woman

Gini

Measure of income inequality (0 = perfect equality, 1 = perfect inequality).

AgeMed

Median age of the population.

debut

Number of days between the first confirmed Covid-19 case in China and the first confirmed case in the country.

Details

https://doi.org/10.1073/pnas.2008410117