Sex-disaggregated Analysis of Risk Factors of COVID-19 Mortality Rates in India

This Zenodo resource contains the data used to perform analysis in the article "Sex-disaggregated Analysis of Risk Factors of COVID-19 Mortality Rates in India".

Data

The data is organized in the form of tables.

hypothesis-test-data

This table contains data used to perform the two tailed hypothesis test on gender mortality in different regions.

* Region
* Male_Deaths - Number of male COVID-19 deaths in region.
* Female_Deaths - Number of female COVID-19 deaths in region.
* Male_cases - Number of male COVID-19 positive in region.
* Female_cases - Number of female COVID-19 positive in region.

lasso-covid19India

This table contains data used for analysis on cases throughout India.

Columns from COVID-19 India data

* State_Code
* State
* District
* Confirmed
* Active
* Recovered
* Deceased

Columns taken from NFHS data

* Sex_ratio_of_the_total_population_females_per_1000_males
* Women_whose_Body_Mass_Index_BMI_is_below_normal_BMI__185_kgm214_
* Men_whose_Body_Mass_Index_BMI_is_below_normal_BMI__185_kgm2_
* Women_who_are_overweight_or_obese_BMI__250_kgm214_
* Men_who_are_overweight_or_obese_BMI__250_kgm2_
* All_women_age_1549_years_who_are_anaemic_
* Men_age_1549_years_who_are_anaemic_130_gdl_
* Women_Blood_sugar_level__high_140_mgdl_
* Men_Blood_sugar_level__high_140_mgdl_
* Women_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_
* Men_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_

lasso-KA+TN-bulletin

This table contains data used for analysis on the sub-cohort of Karnataka and Tamil Nadu.

Data from Media Bulletin

* District
* Total_Positives
* total_deaths
* male_deaths
* female_deaths
* Male_cases_in_data
* Female_cases_in_data

Calculated Data

* Estimated_Male_cases - Estimated male cases using total positives column and existing case data
* Estimated_Female_Cases - Estimated female cases using total positives column and existing case data
* Male_Mortality - Estimated Male Cases / male_deaths
* Female_Mortality - Estimated Female Cases / female_deaths

Columns taken from NFHS data

* Sex_Ratio_females_every_1000_males
* State Women_whose_Body_Mass_Index_BMI_is_below_normal_BMI__185_kgm214_
* Men_whose_Body_Mass_Index_BMI_is_below_normal_BMI__185_kgm2_
* Women_who_are_overweight_or_obese_BMI__250_kgm214_
* Men_who_are_overweight_or_obese_BMI__250_kgm2_
* All_women_age_1549_years_who_are_anaemic_
* Men_age_1549_years_who_are_anaemic_130_gdl_
* Women_Blood_sugar_level__high_140_mgdl_
* Men_Blood_sugar_level__high_140_mgdl_
* Women_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_
* Men_Very_high_Systolic_180_mm_of_Hg_andor_Diastolic_110_mm_of_Hg_

Code

The code is available at this Github Repository.