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US 11,938,181 B2Granted
Identifying patient populations vulnerable to viral infection and methods of inducing heterologous immunity in same
Assigneenference, Inc.
InventorsColin Pawlowski, Venkataramanan Soundararajan, Arjun Puranik, Murali Aravamudan
Life of this patent
Estimating the term…
Abstract
This application relates to methods for assessing patient populations and determining subpopulations vulnerable to viral infection, methods of reducing the risk of infection and/or inducing heterologous immunity to said viral infection.
Claims16
A method for reducing the risk of a subject acquiring or fully presenting a disease case by SARS-CoV-2 infection, comprising:
- determining a plurality of demographic covariates of the subject, wherein
- determining the plurality of demographic covariates comprises:
- determining a propensity score for the subject;
- and
- generating at least a negative cohort as a function of the propensity score;
- identifying one or more vaccines not administered to the subject within the past 1 year, the one or more vaccines not having been administered to the subject within the past 1 year selected from a group comprising a haemophilus influenzae type B (Hib) vaccine, an influenza vaccine, a diphtheria-pertussis-tetanus vaccine, and a measles-mumps-rubella vaccine using a logistic regression model as a function of the plurality of demographic covariates of the subject and the propensity score;
- and
- administering to the subject at least one of the one or more vaccines identified as not having been administered to the subject within the past 1 year.
5 more elements
A method for reducing the risk of a subject acquiring or fully presenting a disease case by SARS-CoV-2 infection, comprising:
- determining a plurality of demographic covariates of the subject, wherein
- determining the plurality of demographic covariates comprises:
- determining a propensity score for the subject;
- and
- generating at least a negative cohort as a function of the propensity score;
- identifying one or more vaccines not having been administered to the subject within the past 2 years, wherein the one or more vaccines not having been administered to the subject within the past 2 years are selected from a group comprising a hepatitis B vaccine, a haemophilus influenzae type B (Hib) vaccine, a diphtheria-pertussis-tetanus vaccine, or a polio vaccine using a logistic regression model as a function of the plurality of demographic covariates of the subject and the propensity score;
- and
- administering to the subject at least one of the one or more vaccines not administered to the subject within the past 2 years.
5 more elements
A method for reducing the risk of a subject acquiring or fully presenting a disease case by SARS-CoV-2 infection, comprising;
- determining a plurality of demographic covariates of the subject, wherein
- determining the plurality of demographic covariates comprises:
- determining a propensity score for the subject;
- and
- generating at least a negative cohort as a function of the propensity score;
- identifying one or more vaccines not having been administered to the subject within the past 2 years, the one or more vaccines not having been administered to the subject within the past 2 years selected from a group comprising a polio vaccine, an influenza vaccine, a varicella-zoster virus (VZV) vaccine, and a diphtheria-pertussis-tetanus vaccine using a logistic regression model as a function of the plurality of demographic covariates of the subject and the propensity score;
- and
- administering to the subject at least one of the one or more vaccines identified as not having been administered to the subject within the past 2 years.
5 more elements
A method for the identification and stratification of a subject at risk of SARS-CoV-2 infection comprising;
- determining a plurality of demographic covariates of the subject, wherein
- determining the plurality of demographic covariates comprises:
- determining a propensity score for the subject;
- and
- generating at least a negative cohort as a function of the propensity score;
- identifying one or more vaccines not administered to the subject within the past 5 years, the one or more vaccines not having been administered to the subject within the past 5 years selected from a group comprising polio vaccine, an influenza vaccine, a varicella-zoster virus (VZV) vaccine, and a diphtheria-pertussis-tetanus vaccine using a logistic regression model as a function of the plurality of demographic covariates of the subject and the propensity score;
- and
- if said subject is stratified into an at risk population and identified as not having received at least one of the one or more vaccines not administered to the subject within the past 5 years, administering to the subject at least one of the one or more vaccines not administered to the subject within the past 5 years.
5 more elements
Dependencies are inferred from the claim text.