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Aids Python Library

From the CORGIS Dataset Project

By Ryan Whitcomb, Joung Min Choi, Bo Guan
Version 3.0.0, created 8/31/2021
Tags: aids, death, disease, hiv, orphans, health, countries, world, gender, united nations, un

Overview

The UNAIDS Organization is an entity of the United Nations that looks to reduce the transmission of AIDS and provide resources to those currently affected by the disease. The following data set contains information on the number of those affected by the disease, new cases of the disease being reported, and AIDS-related deaths for a large set of countries over the course of 1990 - 2015.

http://aidsinfo.unaids.org/

Explore Structure

Each row represents AIDS information for each country at each year.

Index Type Example Value
0 dict { }
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"Country" str "Afghanistan" The name of the country.
"Year" int 1990 4-digit year
"Data" dict { }
Key Type Example Value Description
"AIDS-Related Deaths" dict { }
"HIV Prevalence" dict { }
"New HIV Infections" dict { }
"People Living with HIV" dict { }
Key Type Example Value Description
"Adults" float 0.1 The percentage of the population of Young Men (15-49 years old) suffering from AIDS in this year.
"Young Men" float 0.1 The percentage of the population of Young Men (15-24 years old) suffering from AIDS in this year.
"Young Women" float 0.1 The percentage of the population of Young Women (15-24 years old) suffering from AIDS in this year.
Key Type Example Value Description
"Young Adults" int 100 The number of reported cases of AIDS in adults (15-49 years old).
"Male Adults" int 100 The number of reported cases of AIDS in male adults (15+ years old).
"Female Adults" int 100 The number of reported cases of AIDS in female adults (15+ years old).
"Children" int 100 The number of reported cases of AIDS in children (0-14 years old).
"All Ages" int 100 The total number of reported cases of AIDS in this year.
"Adults" int 100 The number of reported cases of AIDS in all adults (15+ years old).
"Incidence Rate Among Adults" float 0.01 Incidence rate for HIV incidence per 1000 population in all adults (15+ years old)
Key Type Example Value Description
"Total" int 500 The total number of people suffering from AIDS in this year.
"Male Adults" int 500 The number of Adult Men (greater than 15 years old) suffering from AIDS in this year.
"Female Adults" int 100 The number of Adult Women (greater than 15 years old) suffering from AIDS in this year.
"Children" int 100 The number of Children (less than 15 years old) suffering from AIDS in this year.
"Adults" int 500 The number of Adults (greater than 15 years old) suffering from AIDS in this year.

Downloads

Download all of the following files.

  1. aids.py
  2. aids.data

Usage

import aids
report = aids.get_report()

Documentation

get_report()
Returns a list of dictionaries representing report.