Optimal experimental designs for estimating genetic and non-genetic effects underlying infectious disease transmission.

ABSTRACT:

Background

The spread of infectious diseases in populations is controlled by the susceptibility (propensity to acquire infection), infectivity (propensity to transmit infection), and recoverability (propensity to recover/die) of individuals. Estimating genetic risk factors for these three underlying host epidemiological traits can help reduce disease spread through genetic control strategies. Previous studies have identified important 'disease resistance single nucleotide polymorphisms (SNPs)', but how these affect the underlying traits is an unresolved question. Recent advances in computational statistics make it now possible to estimate the effects of SNPs on host traits from epidemic data (e.g. infection and/or recovery times of individuals or diagnostic test results). However,

SUBMITTER: Pooley C 

PROVIDER: S-EPMC9442948 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature