Johns Hopkins has a covid mortality risk calculator that is both interactive and online: https://covid19risktools.com:8443/riskcalculator
Remember, I like statistics and correlations, and covid has provided a bit of an enigma since the data came out from the Diamond Princess outbreak last year. This calculator takes in age, health and location and coughs up your probability of dying from covid.
My own numbers were reassuring – I answered the questions . . . age 71, height, weight, history of asthma, cancer and diabetes, and the model churned out that I was 1.1 times as likely to die of covid as the model’s norm. Essentially I was at a normal risk. The analysis was:
“Based on the information you have provided, the tool estimates that you have 1.1 (95% CI: 0.95 – 1.3 ) times the risk of dying from COVID-19 compared to the average risk for the US population.
Based on the estimated risk, you are categorized to be at Closer to or lower than average risk based on the following chart:
Further, based on the information available from pandemic projections in your state of residence, the tool estimates an absolute rate of mortality of 0.6 (95% CI: 0.3 – 1.3 ) per 100000 individuals in subgroups of the population with a similar risk profile to yours during the period of 05/15/2021 – 06/04/2021. This estimate is calculated based on the CDC’s Ensemble mortality forecast data.
*95% CI: Error bounds with 95% confidence.”
It’s a model – and only as good as the data that went into its development. That said, Johns Hopkins has a pretty good reputation, and I would guess they will continue to refine the model. Scientific method and statistical analysis do not allow perfect data for the individual. That said, I like having a model that I can use. Give it a try with your own data.