Baselight

HIV / AIDS

HIV = AIDS? IDK I am not a medical guy lol (For reasons : This is a joke)

@kaggle.programmerrdai_hiv_aids

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About this Dataset

HIV / AIDS

HIV (human immunodeficiency virus) is a virus that attacks the body's immune system. If HIV is not treated, it can lead to AIDS (acquired immunodeficiency syndrome). There is currently no effective cure. Once people get HIV, they have it for life. But with proper medical care, HIV can be controlled.
Symptoms: Influenza-like illness; Fatigue...
Treatments: Management of HIV/AIDS
Type of infectious agent: Virus

AIDS (acquired immune deficiency syndrome) is the name used to describe a number of potentially life-threatening infections and illnesses that happen when your immune system has been severely damaged by the HIV virus. While AIDS cannot be transmitted from 1 person to another, the HIV virus can.

@article{owidhivaids,
author = {Max Roser and Hannah Ritchie},
title = {HIV / AIDS},
journal = {Our World in Data},
year = {2018},
note = {https://ourworldindata.org/hiv-aids}
}

Tables

Share Of Population Infected With Hiv Ihme

@kaggle.programmerrdai_hiv_aids.share_of_population_infected_with_hiv_ihme
  • 73.62 kB
  • 6,780 rows
  • 4 columns
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CREATE TABLE share_of_population_infected_with_hiv_ihme (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "prevalence_hiv_aids_sex_both_age_15_49_years_percent" DOUBLE  -- Prevalence - HIV/AIDS - Sex: Both - Age: 15-49 Years (Percent)
);

Share Of Women Among The Population Living With Hiv

@kaggle.programmerrdai_hiv_aids.share_of_women_among_the_population_living_with_hiv
  • 19.6 kB
  • 4,198 rows
  • 4 columns
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CREATE TABLE share_of_women_among_the_population_living_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "women_s_share_of_population_ages_15_living_with_hiv" DOUBLE  -- Women\u0027s Share Of Population Ages 15+ Living With HIV (%)
);

Tb Patients Living With Hiv Receiving Art

@kaggle.programmerrdai_hiv_aids.tb_patients_living_with_hiv_receiving_art
  • 13.12 kB
  • 1,965 rows
  • 4 columns
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CREATE TABLE tb_patients_living_with_hiv_receiving_art (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "tb_patients_living_with_hiv_receiving_art_total" BIGINT  -- TB Patients Living With HIV Receiving ART - Total
);

Tb Patients Tested Positive For Hiv

@kaggle.programmerrdai_hiv_aids.tb_patients_tested_positive_for_hiv
  • 14.73 kB
  • 2,369 rows
  • 4 columns
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CREATE TABLE tb_patients_tested_positive_for_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "tb_patients_tested_positive_for_hiv_total" BIGINT  -- TB Patients Tested Positive For HIV - Total
);
@kaggle.programmerrdai_hiv_aids.tb_related_deaths_hiv
  • 36.94 kB
  • 3,778 rows
  • 4 columns
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CREATE TABLE tb_related_deaths_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "estimated_tb_related_deaths_among_people_living_with_h_724d5f3c" DOUBLE  -- Estimated TB-related Deaths Among People Living With HIV - Estimate
);

Young People With Knowledge On Hiv Prevention

@kaggle.programmerrdai_hiv_aids.young_people_with_knowledge_on_hiv_prevention
  • 5.64 kB
  • 79 rows
  • 4 columns
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CREATE TABLE young_people_with_knowledge_on_hiv_prevention (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "knowledge_about_hiv_prevention_in_young_people_all_sex_027d1e0d" DOUBLE  -- Knowledge About HIV Prevention In Young People - All Sexes Young People (15-24) Yes To All Questions
);

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