Data Description

Nexoid COVID-19 Survival Calculator Vulnerability Data

Nexoid is a software company based in London. It has a data research team that uses collected user data to calculate the risk index of COVID-19 to people with different vulnerabilities.

Data is gathered from the survival calculator, which is a survey that asks questions on biometrics, behaviors, living environments, medical records, etc. Nexoid then analyzes it and calculates the infection rate and mortality rate per different factors, based on over 820,000 entries of submitted data. Read the methodology.

Dataset

The survival calculator provides a complete dataset of all responses submitted. It contains information such as the respondents'

• geographical information
• behavior
• segmentation
• health conditions
• medications
• risk values

For complete details of all questions asked, visit the COVID-19 Survival Calculator.

Data is updated periodically, and is available back till March 24th, 2020.

Accessing Data

You can download all responses at the survival calculator's website. (~180 MB total)

Metadata describing the response analysis are available as separate files, listed together with the master dataset.

Last updated September 25th, 2020.

Structure

All survey responses are recorded in master_dataset.csv.

Field Description

Note: Description is not yet complete, awaiting contribution.

Field	Description	Type	Example
survey_date	Date on which the data was collected, in the format M/D/YYYY	string	3/24/2020
region	2-letter continent code in which the data was collected (based on IP address). Possible values are: AF for Africa AN for Antarctica AS for Asia EU for Europe NA for North America OC for Oceania SA for South and Central America	string	NA
country	2-letter country code representing the country in which the data was collected (based on IP address)	string	US
ip_latitude	Latitude associated with the IP address of submission	string	38.5415
ip_longitude	Longitude associated with the IP address of submission	string	-121.4968
ip_accuracy	Accuracy of the geolocation associated with the IP address of submission, in terms of the maximum distance (in km) of error	integer	5
sex	Sex of the respondent. Possible values are: male and female	string	female
age	Age range of the respondent, in intervals of 10 years	string	40_50
height	Height of the respondent, in cm	integer	170
weight	Weight of the respondent, in kg	integer	102
bmi	Body mass index of the respondent	float	35.2
blood_type	Blood type of the respondent. Possible values are: ap for A+ an for A- bp for B+ bn for B- abp for AB+ abn for AB- op for O+ on for O- unknown	string	bp
insurance	Does the respondent have private health insurance? Possible values are: yes and no	string	yes
income	Income level of the respondent. Possible values are: high med low blank for respondent on social welfare/government support	string	high
race	Race of the respondent. Possible values are: white mixed asian black hispanic other	string	white
immigrant	Is the respondent a native or an immigrant to the country he/she is in? Possible values are native and immigrant.	string	native
smoking	Does the respondent smoke or vape? Possible values are: never for never smoked or vaped vape for vaping or using e-cigarettes yeslight for light smoking (1-5 per day) yesmedium for medium smoking (6-20 per day) yesheavy for heavy smoking (>20 per day) quit0 for recently quit quit5 for quit >5 years ago quit10 for quit >10 years ago	string	quit10
alcohol	Number of the days the respondent has consumed alcohol over the past 14 days. Values range from 0 to 14. -1 is reserved for respondents who has never drunk alcohol.	integer	4
cannabis	Number of the days the respondent has consumed cannabis (marijuana) over the past 28 days. Values range from 0 to 28. -1 is reserved for respondents who has never consumed cannabis.	integer	6
amphetamines	Number of the days the respondent has consumed amphetamines (ice, speed) over the past 28 days. Values range from 0 to 28. -1 is reserved for respondents who has never consumed amphetamines.	integer	-1
cocaine	Number of the days the respondent has consumed cocaine over the past 28 days. Values range from 0 to 28. -1 is reserved for respondents who has never consumed cocaine.	integer	-1
lsd	Number of the days the respondent has consumed LSD (acid) over the past 28 days. Values range from 0 to 28. -1 is reserved for respondents who has never consumed LSD.	integer	-1
mdma	Number of the days the respondent has consumed MDMA (ecstacy) over the past 28 days. Values range from 0 to 28. -1 is reserved for respondents who has never consumed MDMA.	integer	-1
contacts_count	Number of people the respondent was in close contact with over the past week. Values range from 0 to 20. 21 is reserved for >20 contacts.	integer	21
house_count
public_transport_count
working
worried
rate_reducing_risk_single
rate_reducing_risk_single_social_distancing
rate_reducing_risk_single_washing_hands
rate_reducing_risk_house
rate_reducing_risk_house_social_distancing
rate_reducing_risk_house_washing_hands
rate_reducing_risk_house_sanitizer
rate_reducing_mask
rate_reducing_mask_type
rate_reducing_government_action
rate_reducing_government_control
rate_reducing_government_spend
covid19_positive
covid19_symptoms
covid19_contact
asthma
kidney_disease
liver_disease
compromised_immune
heart_disease
lung_disease
diabetes
hiv_positive
hypertension
other_chronic
nursing_home
health_worker
prescription_medication
opinion_infection
opinion_mortality
risk_infection
risk_mortality

Note: Fields may be empty.

Attribution

This dataset is under the CC BY 4.0 license. You are free to use it for personal, educational, research, and commercial use provided you attribute the dataset to Nexoid.