COVID-19 Symptoms Checker
Predict whether someone has coronavirus or not?
@kaggle.iamhungundji_covid19_symptoms_checker
Predict whether someone has coronavirus or not?
@kaggle.iamhungundji_covid19_symptoms_checker
These data will help to identify whether any person is having a coronavirus disease or not based on some pre-defined standard symptoms. These symptoms are based on guidelines given by the World Health Organization (WHO)who.int and the Ministry of Health and Family Welfare, India.
Disclaimer: The results or analysis of these data should be taken as medical advice.
The dataset contains seven major variables that will be having an impact on whether someone has coronavirus disease or not, the description of each variable are as follows,
Country: List of countries person visited.
Age: Classification of the age group for each person, based on WHO Age Group Standard
Symptoms: According to WHO, 5 are major symptoms of COVID-19, Fever, Tiredness, Difficulty in breathing, Dry cough, and sore throat.
Experience any other symptoms: Pains, Nasal Congestion, Runny Nose, Diarrhea and Other.
Severity: The level of severity, Mild, Moderate, Severe
Contact: Has the person contacted some other COVID-19 Patient
With all these categorical variables, a combination for each label in the variable will be generated and therefore, in total 316800 combinations are created.
Data: There are two CSV files uploaded,
Application of the combined data:
Future Work:
CREATE TABLE cleaned_data (
"fever" BIGINT,
"tiredness" BIGINT,
"dry_cough" BIGINT,
"difficulty_in_breathing" BIGINT,
"sore_throat" BIGINT,
"none_sympton" BIGINT,
"pains" BIGINT,
"nasal_congestion" BIGINT,
"runny_nose" BIGINT,
"diarrhea" BIGINT,
"none_experiencing" BIGINT,
"age_0_9" BIGINT,
"age_10_19" BIGINT,
"age_20_24" BIGINT,
"age_25_59" BIGINT,
"age_60" BIGINT -- Age 60+,
"gender_female" BIGINT,
"gender_male" BIGINT,
"gender_transgender" BIGINT,
"severity_mild" BIGINT,
"severity_moderate" BIGINT,
"severity_none" BIGINT,
"severity_severe" BIGINT,
"contact_dont_know" BIGINT,
"contact_no" BIGINT,
"contact_yes" BIGINT,
"country" VARCHAR
);CREATE TABLE raw_data (
"country" VARCHAR,
"age" VARCHAR,
"gender" VARCHAR,
"symptoms" VARCHAR,
"experiencing_symptoms" VARCHAR,
"severity" VARCHAR,
"contact" VARCHAR
);Anyone who has the link will be able to view this.