Baselight

Malaria

Malaria is not good. :(

@kaggle.programmerrdai_malaria

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About this Dataset

Malaria

Malaria is a disease caused by a parasite. The parasite is spread to humans through the bites of infected mosquitoes. People who have malaria usually feel very sick with a high fever and shaking chills. While the disease is uncommon in temperate climates, malaria is still common in tropical and subtropical countries

@article{owidmalaria,
author = {Max Roser and Hannah Ritchie},
title = {Malaria},
journal = {Our World in Data},
year = {2019},
note = {https://ourworldindata.org/malaria}
}

Tables

Children Sleeping Under Treated Bednet

@kaggle.programmerrdai_malaria.children_sleeping_under_treated_bednet
  • 6.97 kB
  • 278 rows
  • 4 columns
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CREATE TABLE children_sleeping_under_treated_bednet (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "use_of_insecticide_treated_bed_nets_of_under_5_population" DOUBLE  -- Use Of Insecticide-treated Bed Nets (% Of Under-5 Population)
);

Global Malaria Deaths By World Region

@kaggle.programmerrdai_malaria.global_malaria_deaths_by_world_region
  • 4.14 kB
  • 126 rows
  • 4 columns
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CREATE TABLE global_malaria_deaths_by_world_region (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "malaria_deaths" BIGINT
);

Incidence Of Malaria

@kaggle.programmerrdai_malaria.incidence_of_malaria
  • 23.89 kB
  • 2,442 rows
  • 4 columns
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CREATE TABLE incidence_of_malaria (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "incidence_of_malaria_per_1_000_population_at_risk" DOUBLE  -- Incidence Of Malaria (per 1,000 Population At Risk)
);

Malaria Death Rates

@kaggle.programmerrdai_malaria.malaria_death_rates
  • 41.3 kB
  • 6,840 rows
  • 4 columns
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CREATE TABLE malaria_death_rates (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_age_standardized_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: Age-standardized (Rate)
);

Malaria Death Rates By Age

@kaggle.programmerrdai_malaria.malaria_death_rates_by_age
  • 244.89 kB
  • 6,840 rows
  • 10 columns
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CREATE TABLE malaria_death_rates_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_under_5_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: Under 5 (Rate),
  "deaths_malaria_sex_both_age_all_ages_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: All Ages (Rate),
  "deaths_malaria_sex_both_age_70_years_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: 70+ Years (Rate),
  "deaths_malaria_sex_both_age_50_69_years_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: 50-69 Years (Rate),
  "deaths_malaria_sex_both_age_15_49_years_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: 15-49 Years (Rate),
  "deaths_malaria_sex_both_age_5_14_years_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: 5-14 Years (Rate),
  "deaths_malaria_sex_both_age_age_standardized_rate" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: Age-standardized (Rate)
);

Malaria Deaths By Age

@kaggle.programmerrdai_malaria.malaria_deaths_by_age
  • 64.89 kB
  • 6,840 rows
  • 8 columns
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CREATE TABLE malaria_deaths_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_under_5_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: Under 5 (Number),
  "deaths_malaria_sex_both_age_70_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 70+ Years (Number),
  "deaths_malaria_sex_both_age_5_14_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 5-14 Years (Number),
  "deaths_malaria_sex_both_age_15_49_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 15-49 Years (Number),
  "deaths_malaria_sex_both_age_50_69_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 50-69 Years (Number)
);

Malaria Deaths By Region

@kaggle.programmerrdai_malaria.malaria_deaths_by_region
  • 22.59 kB
  • 6,840 rows
  • 4 columns
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CREATE TABLE malaria_deaths_by_region (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_all_ages_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: All Ages (Number)
);

Malaria Deaths Comparisons

@kaggle.programmerrdai_malaria.malaria_deaths_comparisons
  • 439.1 kB
  • 56,479 rows
  • 7 columns
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CREATE TABLE malaria_deaths_comparisons (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_all_ages_number" DOUBLE  -- Deaths - Malaria - Sex: Both - Age: All Ages (Number),
  "indicator_estimated_number_of_malaria_deaths" VARCHAR,
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Malaria Prevalence Vs Gdp Per Capita

@kaggle.programmerrdai_malaria.malaria_prevalence_vs_gdp_per_capita
  • 497.06 kB
  • 56,810 rows
  • 7 columns
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CREATE TABLE malaria_prevalence_vs_gdp_per_capita (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "prevalence_malaria_sex_both_age_age_standardized_percent" DOUBLE  -- Prevalence - Malaria - Sex: Both - Age: Age-standardized (Percent),
  "gdp_per_capita_ppp_constant_2017_international" DOUBLE  -- GDP Per Capita, PPP (constant 2017 International $),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

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