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

Annual Number Of Deaths By Cause

@kaggle.programmerrdai_hiv_aids.annual_number_of_deaths_by_cause
  • 769.79 kB
  • 7,273 rows
  • 36 columns
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CREATE TABLE annual_number_of_deaths_by_cause (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "number_of_executions_amnesty_international" VARCHAR  -- Number Of Executions (Amnesty International),
  "deaths_meningitis_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Meningitis - Sex: Both - Age: All Ages (Number),
  "deaths_alzheimer_s_disease_and_other_dementias_sex_bot_448cb23e" DOUBLE  -- Deaths - Alzheimer\u0027s Disease And Other Dementias - Sex: Both - Age: All Ages (Number),
  "deaths_parkinson_s_disease_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Parkinson\u0027s Disease - Sex: Both - Age: All Ages (Number),
  "deaths_nutritional_deficiencies_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Nutritional Deficiencies - Sex: Both - Age: All Ages (Number),
  "deaths_malaria_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: All Ages (Number),
  "deaths_drowning_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Drowning - Sex: Both - Age: All Ages (Number),
  "deaths_interpersonal_violence_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Interpersonal Violence - Sex: Both - Age: All Ages (Number),
  "deaths_maternal_disorders_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Maternal Disorders - Sex: Both - Age: All Ages (Number),
  "deaths_hiv_aids_sex_both_age_all_ages_number" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Number),
  "deaths_drug_use_disorders_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Drug Use Disorders - Sex: Both - Age: All Ages (Number),
  "deaths_tuberculosis_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Tuberculosis - Sex: Both - Age: All Ages (Number),
  "deaths_cardiovascular_diseases_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Cardiovascular Diseases - Sex: Both - Age: All Ages (Number),
  "deaths_lower_respiratory_infections_sex_both_age_all_a_04c08283" DOUBLE  -- Deaths - Lower Respiratory Infections - Sex: Both - Age: All Ages (Number),
  "deaths_neonatal_disorders_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Neonatal Disorders - Sex: Both - Age: All Ages (Number),
  "deaths_alcohol_use_disorders_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Alcohol Use Disorders - Sex: Both - Age: All Ages (Number),
  "deaths_self_harm_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Self-harm - Sex: Both - Age: All Ages (Number),
  "deaths_exposure_to_forces_of_nature_sex_both_age_all_a_da879c0d" DOUBLE  -- Deaths - Exposure To Forces Of Nature - Sex: Both - Age: All Ages (Number),
  "deaths_diarrheal_diseases_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Diarrheal Diseases - Sex: Both - Age: All Ages (Number),
  "deaths_environmental_heat_and_cold_exposure_sex_both_a_d4f48874" DOUBLE  -- Deaths - Environmental Heat And Cold Exposure - Sex: Both - Age: All Ages (Number),
  "deaths_neoplasms_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Neoplasms - Sex: Both - Age: All Ages (Number),
  "deaths_conflict_and_terrorism_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Conflict And Terrorism - Sex: Both - Age: All Ages (Number),
  "deaths_diabetes_mellitus_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Diabetes Mellitus - Sex: Both - Age: All Ages (Number),
  "deaths_chronic_kidney_disease_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Chronic Kidney Disease - Sex: Both - Age: All Ages (Number),
  "deaths_poisonings_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Poisonings - Sex: Both - Age: All Ages (Number),
  "deaths_protein_energy_malnutrition_sex_both_age_all_ag_9b9b0ecc" DOUBLE  -- Deaths - Protein-energy Malnutrition - Sex: Both - Age: All Ages (Number),
  "terrorism_deaths" DOUBLE  -- Terrorism (deaths),
  "deaths_road_injuries_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Road Injuries - Sex: Both - Age: All Ages (Number),
  "deaths_chronic_respiratory_diseases_sex_both_age_all_a_5fe95eb3" DOUBLE  -- Deaths - Chronic Respiratory Diseases - Sex: Both - Age: All Ages (Number),
  "deaths_cirrhosis_and_other_chronic_liver_diseases_sex__97badbdc" DOUBLE  -- Deaths - Cirrhosis And Other Chronic Liver Diseases - Sex: Both - Age: All Ages (Number),
  "deaths_digestive_diseases_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Digestive Diseases - Sex: Both - Age: All Ages (Number),
  "deaths_fire_heat_and_hot_substances_sex_both_age_all_a_a15461ab" DOUBLE  -- Deaths - Fire, Heat, And Hot Substances - Sex: Both - Age: All Ages (Number),
  "deaths_acute_hepatitis_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Acute Hepatitis - Sex: Both - Age: All Ages (Number)
);

Antiretroviral Therapy Coverage Among People Living With Hiv

@kaggle.programmerrdai_hiv_aids.antiretroviral_therapy_coverage_among_people_living_with_hiv
  • 10.76 kB
  • 2,962 rows
  • 4 columns
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CREATE TABLE antiretroviral_therapy_coverage_among_people_living_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "antiretroviral_therapy_coverage_of_people_living_with_hiv" DOUBLE  -- Antiretroviral Therapy Coverage (% Of People Living With HIV)
);

Art Coverage For Pregnant Women

@kaggle.programmerrdai_hiv_aids.art_coverage_for_pregnant_women
  • 8.83 kB
  • 2,076 rows
  • 4 columns
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CREATE TABLE art_coverage_for_pregnant_women (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "antiretroviral_therapy_coverage_for_pmtct_of_pregnant__01cf041c" DOUBLE  -- Antiretroviral Therapy Coverage For PMTCT (% Of Pregnant Women Living With HIV)
);

Children Living With Hiv

@kaggle.programmerrdai_hiv_aids.children_living_with_hiv
  • 9.48 kB
  • 2,914 rows
  • 4 columns
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CREATE TABLE children_living_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "children_0_14_living_with_hiv" BIGINT  -- Children (0-14) Living With HIV
);

Condom Use At Last High Risk Sex

@kaggle.programmerrdai_hiv_aids.condom_use_at_last_high_risk_sex
  • 4.89 kB
  • 53 rows
  • 4 columns
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CREATE TABLE condom_use_at_last_high_risk_sex (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "condom_use_at_last_high_risk_sex_all_sexes_adults_15_49" DOUBLE  -- Condom Use At Last High-risk Sex - All Sexes Adults (15-49)
);

Condom Use During Last High Risk Sex

@kaggle.programmerrdai_hiv_aids.condom_use_during_last_high_risk_sex
  • 11.05 kB
  • 53 rows
  • 9 columns
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CREATE TABLE condom_use_during_last_high_risk_sex (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "condom_use_at_last_high_risk_sex_males_15_19" DOUBLE  -- Condom Use At Last High-risk Sex - Males 15-19,
  "condom_use_at_last_high_risk_sex_males_20_24" DOUBLE  -- Condom Use At Last High-risk Sex - Males 20-24,
  "condom_use_at_last_high_risk_sex_males_25_49" DOUBLE  -- Condom Use At Last High-risk Sex - Males 25-49,
  "condom_use_at_last_high_risk_sex_females_15_19" DOUBLE  -- Condom Use At Last High-risk Sex - Females 15-19,
  "condom_use_at_last_high_risk_sex_females_20_24" DOUBLE  -- Condom Use At Last High-risk Sex - Females 20-24,
  "condom_use_at_last_high_risk_sex_females_25_49" DOUBLE  -- Condom Use At Last High-risk Sex - Females 25-49
);

Deaths And New Cases Of Hiv

@kaggle.programmerrdai_hiv_aids.deaths_and_new_cases_of_hiv
  • 97.28 kB
  • 6,840 rows
  • 6 columns
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CREATE TABLE deaths_and_new_cases_of_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_all_ages_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Number),
  "incidence_hiv_aids_sex_both_age_all_ages_number" DOUBLE  -- Incidence - HIV/AIDS - Sex: Both - Age: All Ages (Number),
  "prevalence_hiv_aids_sex_both_age_all_ages_number" DOUBLE  -- Prevalence - HIV/AIDS - Sex: Both - Age: All Ages (Number)
);

Deaths From Hiv By Age

@kaggle.programmerrdai_hiv_aids.deaths_from_hiv_by_age
  • 81.59 kB
  • 6,840 rows
  • 8 columns
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CREATE TABLE deaths_from_hiv_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_under_5_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: Under 5 (Number),
  "deaths_hiv_aids_sex_both_age_70_years_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: 70+ Years (Number),
  "deaths_hiv_aids_sex_both_age_5_14_years_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: 5-14 Years (Number),
  "deaths_hiv_aids_sex_both_age_15_49_years_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: 15-49 Years (Number),
  "deaths_hiv_aids_sex_both_age_50_69_years_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: 50-69 Years (Number)
);

Hivaids Deaths And Averted Due To Art

@kaggle.programmerrdai_hiv_aids.hivaids_deaths_and_averted_due_to_art
  • 54.87 kB
  • 3,645 rows
  • 5 columns
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CREATE TABLE hivaids_deaths_and_averted_due_to_art (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_averted_due_to_art_estimate" DOUBLE  -- Deaths Averted Due To ART - Estimate,
  "aids_related_deaths_all_ages_all_ages_estimate" DOUBLE  -- AIDS-related Deaths - All Ages - All Ages Estimate
);

Hiv Death Rates

@kaggle.programmerrdai_hiv_aids.hiv_death_rates
  • 74.19 kB
  • 6,840 rows
  • 4 columns
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CREATE TABLE hiv_death_rates (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_age_standardized_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: Age-standardized (Rate)
);

Hiv Death Rates By Age

@kaggle.programmerrdai_hiv_aids.hiv_death_rates_by_age
  • 408.21 kB
  • 6,840 rows
  • 9 columns
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CREATE TABLE hiv_death_rates_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_under_5_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: Under 5 (Rate),
  "deaths_hiv_aids_sex_both_age_70_years_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: 70+ Years (Rate),
  "deaths_hiv_aids_sex_both_age_5_14_years_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: 5-14 Years (Rate),
  "deaths_hiv_aids_sex_both_age_15_49_years_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: 15-49 Years (Rate),
  "deaths_hiv_aids_sex_both_age_50_69_years_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: 50-69 Years (Rate),
  "deaths_hiv_aids_sex_both_age_all_ages_rate" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Rate)
);

Hiv Expenditure

@kaggle.programmerrdai_hiv_aids.hiv_expenditure
  • 16.09 kB
  • 948 rows
  • 4 columns
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CREATE TABLE hiv_expenditure (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "country_reported_hiv_expenditure_by_funding_source_total" DOUBLE  -- Country-reported HIV Expenditure By Funding Source - Total
);

Hiv Funding And Future Requirements

@kaggle.programmerrdai_hiv_aids.hiv_funding_and_future_requirements
  • 6.68 kB
  • 192 rows
  • 5 columns
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CREATE TABLE hiv_funding_and_future_requirements (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "estimated_hiv_resource_availability_for_low_and_middle_d804fd8d" DOUBLE  -- Estimated HIV Resource Availability For Low- And Middle-income Countries (million US$),
  "estimated_resource_needs_for_fast_track_targets_million_us" DOUBLE  -- Estimated Resource Needs For Fast-track Targets (million US$)
);

Knowledge Hiv Prevention In Males Vs Females

@kaggle.programmerrdai_hiv_aids.knowledge_hiv_prevention_in_males_vs_females
  • 415.37 kB
  • 55,705 rows
  • 7 columns
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CREATE TABLE knowledge_hiv_prevention_in_males_vs_females (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "knowledge_about_hiv_prevention_in_young_people_males_y_5d22c276" DOUBLE  -- Knowledge About HIV Prevention In Young People - Males Young People (15-24) Yes To All Questions,
  "knowledge_about_hiv_prevention_in_young_people_females_c253840a" DOUBLE  -- Knowledge About HIV Prevention In Young People - Females Young People (15-24) Yes To All Questions,
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Life Expectancy

@kaggle.programmerrdai_hiv_aids.life_expectancy
  • 125.28 kB
  • 19,028 rows
  • 4 columns
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CREATE TABLE life_expectancy (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "life_expectancy" DOUBLE
);

New Cases Of Hiv Infection

@kaggle.programmerrdai_hiv_aids.new_cases_of_hiv_infection
  • 34.27 kB
  • 6,780 rows
  • 4 columns
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CREATE TABLE new_cases_of_hiv_infection (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "incidence_hiv_aids_sex_both_age_all_ages_number" BIGINT  -- Incidence - HIV/AIDS - Sex: Both - Age: All Ages (Number)
);

New Cases Of Hiv Unaids Vs Ihme

@kaggle.programmerrdai_hiv_aids.new_cases_of_hiv_unaids_vs_ihme
  • 512.71 kB
  • 56,611 rows
  • 7 columns
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CREATE TABLE new_cases_of_hiv_unaids_vs_ihme (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "hiv_incidence_per_1000_population_all_ages_estimate" DOUBLE  -- HIV Incidence Per 1000 Population - All Ages Estimate,
  "incidence_hiv_aids_sex_both_age_all_ages_rate" DOUBLE  -- Incidence - HIV/AIDS - Sex: Both - Age: All Ages (Rate),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Number Of Children Newly Infected With Hiv

@kaggle.programmerrdai_hiv_aids.number_of_children_newly_infected_with_hiv
  • 8.33 kB
  • 2,821 rows
  • 4 columns
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CREATE TABLE number_of_children_newly_infected_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "children_ages_0_14_newly_infected_with_hiv" BIGINT  -- Children (ages 0-14) Newly Infected With HIV
);

Number Of Children Orphaned From Aids

@kaggle.programmerrdai_hiv_aids.number_of_children_orphaned_from_aids
  • 27.26 kB
  • 2,943 rows
  • 4 columns
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CREATE TABLE number_of_children_orphaned_from_aids (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "aids_orphans_0_17_estimate" DOUBLE  -- AIDS Orphans - 0-17 Estimate
);

Number Of Deaths By Risk Factor

@kaggle.programmerrdai_hiv_aids.number_of_deaths_by_risk_factor
  • 726.28 kB
  • 6,840 rows
  • 31 columns
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CREATE TABLE number_of_deaths_by_risk_factor (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_cause_all_causes_risk_outdoor_air_pollution_owi_2223f033" BIGINT  -- Deaths - Cause: All Causes - Risk: Outdoor Air Pollution - OWID - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_high_systolic_blood_press_6d2d316d" BIGINT  -- Deaths - Cause: All Causes - Risk: High Systolic Blood Pressure - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_diet_high_in_sodium_sex_b_1e7c3e5c" BIGINT  -- Deaths - Cause: All Causes - Risk: Diet High In Sodium - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_diet_low_in_whole_grains__97b77447" BIGINT  -- Deaths - Cause: All Causes - Risk: Diet Low In Whole Grains - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_alcohol_use_sex_both_age__c423e43f" BIGINT  -- Deaths - Cause: All Causes - Risk: Alcohol Use - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_diet_low_in_fruits_sex_bo_8caf0533" BIGINT  -- Deaths - Cause: All Causes - Risk: Diet Low In Fruits - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_unsafe_water_source_sex_b_2fc61ce0" BIGINT  -- Deaths - Cause: All Causes - Risk: Unsafe Water Source - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_secondhand_smoke_sex_both_bfa91e74" BIGINT  -- Deaths - Cause: All Causes - Risk: Secondhand Smoke - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_low_birth_weight_sex_both_8686a6c4" BIGINT  -- Deaths - Cause: All Causes - Risk: Low Birth Weight - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_child_wasting_sex_both_ag_fe7dd6b3" BIGINT  -- Deaths - Cause: All Causes - Risk: Child Wasting - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_unsafe_sex_sex_both_age_a_bd9458b2" BIGINT  -- Deaths - Cause: All Causes - Risk: Unsafe Sex - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_diet_low_in_nuts_and_seed_3b9ce52c" BIGINT  -- Deaths - Cause: All Causes - Risk: Diet Low In Nuts And Seeds - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_household_air_pollution_f_493ab017" BIGINT  -- Deaths - Cause: All Causes - Risk: Household Air Pollution From Solid Fuels - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_diet_low_in_vegetables_se_90ecc789" BIGINT  -- Deaths - Cause: All Causes - Risk: Diet Low In Vegetables - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_low_physical_activity_sex_113bde09" BIGINT  -- Deaths - Cause: All Causes - Risk: Low Physical Activity - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_smoking_sex_both_age_all__b379affe" BIGINT  -- Deaths - Cause: All Causes - Risk: Smoking - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_high_fasting_plasma_gluco_9c7ae811" BIGINT  -- Deaths - Cause: All Causes - Risk: High Fasting Plasma Glucose - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_air_pollution_sex_both_ag_57d75277" BIGINT  -- Deaths - Cause: All Causes - Risk: Air Pollution - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_high_body_mass_index_sex__0ab68ab2" BIGINT  -- Deaths - Cause: All Causes - Risk: High Body-mass Index - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_unsafe_sanitation_sex_bot_769695cd" BIGINT  -- Deaths - Cause: All Causes - Risk: Unsafe Sanitation - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_no_access_to_handwashing__d22ef465" BIGINT  -- Deaths - Cause: All Causes - Risk: No Access To Handwashing Facility - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_drug_use_sex_both_age_all_ff53b46e" BIGINT  -- Deaths - Cause: All Causes - Risk: Drug Use - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_low_bone_mineral_density__0011ff40" BIGINT  -- Deaths - Cause: All Causes - Risk: Low Bone Mineral Density - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_vitamin_a_deficiency_sex__1b749459" BIGINT  -- Deaths - Cause: All Causes - Risk: Vitamin A Deficiency - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_child_stunting_sex_both_a_8f7eb8cb" BIGINT  -- Deaths - Cause: All Causes - Risk: Child Stunting - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_discontinued_breastfeedin_0b193825" BIGINT  -- Deaths - Cause: All Causes - Risk: Discontinued Breastfeeding - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_non_exclusive_breastfeedi_254d4816" BIGINT  -- Deaths - Cause: All Causes - Risk: Non-exclusive Breastfeeding - Sex: Both - Age: All Ages (Number),
  "deaths_cause_all_causes_risk_iron_deficiency_sex_both__054f5981" BIGINT  -- Deaths - Cause: All Causes - Risk: Iron Deficiency - Sex: Both - Age: All Ages (Number)
);

Number Of New Hiv Child Infections Vs Number Of Infect Aeb2f163

@kaggle.programmerrdai_hiv_aids.number_of_new_hiv_child_infections_vs_number_of_infect_aeb2f163
  • 44.25 kB
  • 2,970 rows
  • 5 columns
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CREATE TABLE number_of_new_hiv_child_infections_vs_number_of_infect_aeb2f163 (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "new_hiv_infections_averted_due_to_pmtct_estimate" DOUBLE  -- New HIV Infections Averted Due To PMTCT - Estimate,
  "new_hiv_infections_children_aged_0_14_children_0_14_estimate" DOUBLE  -- New HIV Infections - Children (aged 0-14) - Children (0-14) Estimate
);

Resource Needs To Meet Hiv Targets

@kaggle.programmerrdai_hiv_aids.resource_needs_to_meet_hiv_targets
  • 4.8 kB
  • 104 rows
  • 4 columns
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CREATE TABLE resource_needs_to_meet_hiv_targets (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "estimated_resource_needs_for_fast_track_targets_million_us" BIGINT  -- Estimated Resource Needs For Fast-track Targets (million US$)
);

Share Deaths Aids

@kaggle.programmerrdai_hiv_aids.share_deaths_aids
  • 74.14 kB
  • 6,840 rows
  • 4 columns
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CREATE TABLE share_deaths_aids (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_all_ages_percent" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Percent)
);

Share Deaths Aids 1

@kaggle.programmerrdai_hiv_aids.share_deaths_aids_1
  • 74.14 kB
  • 6,840 rows
  • 4 columns
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CREATE TABLE share_deaths_aids_1 (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_hiv_aids_sex_both_age_all_ages_percent" DOUBLE  -- Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Percent)
);

Share Of Children Under Five Years Old With Hiv

@kaggle.programmerrdai_hiv_aids.share_of_children_under_five_years_old_with_hiv
  • 73.59 kB
  • 6,780 rows
  • 4 columns
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CREATE TABLE share_of_children_under_five_years_old_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "prevalence_hiv_aids_sex_both_age_under_5_percent" DOUBLE  -- Prevalence - HIV/AIDS - Sex: Both - Age: Under 5 (Percent)
);

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