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Cervical Cancer Vaccines

Papillomavirus Rapid Interface for Modelling and Economics (PRIME) London School

@kaggle.willianoliveiragibin_cervical_cancer_vaccines

Hpv 2020s Results
@kaggle.willianoliveiragibin_cervical_cancer_vaccines.hpv_2020s_results

  • 90.47 KB
  • 3520 rows
  • 11 columns
country_name

Country Name

region

Region

income_group

Income Group

year

Year

cohort_size

Cohort Size

coverage

Coverage

cancer_prevented

Cancer Prevented

deaths_prevented

Deaths Prevented

assumption_type

Assumption Type

possible_cancer_cases

Possible Cancer Cases

possible_cancer_deaths

Possible Cancer Deaths

AfghanistanSouth AsiaLow income2021579118.68Attain WHO Coverage Goal4221.863275.27
AngolaSub-Saharan AfricaLower middle income2021536273.19Attain WHO Coverage Goal14022.0710275.75
AlbaniaEurope & Central AsiaUpper middle income202114784.56Attain WHO Coverage Goal87.4653.24
United Arab EmiratesMiddle East & North AfricaHigh income202147220.45Attain WHO Coverage Goal361.86273.52
ArgentinaLatin America & CaribbeanUpper middle income2021360942.350.532598.291726.17Attain WHO Coverage Goal4954.453261.47
ArmeniaEurope & Central AsiaUpper middle income202119495.940.0813.249.91Attain WHO Coverage Goal163.52121.1
AustraliaEast Asia & PacificHigh income2021161507.310.66522.02283.13Attain WHO Coverage Goal812.85445.61
AustriaEurope & Central AsiaHigh income202141069.09Attain WHO Coverage Goal228.89120.66
AzerbaijanEurope & Central AsiaUpper middle income202170526.23Attain WHO Coverage Goal423.06286.28
BurundiSub-Saharan AfricaLow income2021180973.05Attain WHO Coverage Goal6131.145131.21

CREATE TABLE hpv_2020s_results (
  "country_name" VARCHAR,
  "region" VARCHAR,
  "income_group" VARCHAR,
  "year" BIGINT,
  "cohort_size" DOUBLE,
  "coverage" DOUBLE,
  "cancer_prevented" DOUBLE,
  "deaths_prevented" DOUBLE,
  "assumption_type" VARCHAR,
  "possible_cancer_cases" DOUBLE,
  "possible_cancer_deaths" DOUBLE
);

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