From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico Modeling.

ABSTRACT:

Background

Immune system conditions of the patient is a key factor in COVID-19 infection survival. A growing number of studies have focused on immunological determinants to develop better biomarkers for therapies.

Aim

Studies of the insurgence of immunity is at the core of both SARS-CoV-2 vaccine development and therapies. This paper attempts to describe the insurgence (and the span) of immunity in COVID-19 at the population level by developing an in-silico model. We simulate the immune response to SARS-CoV-2 and analyze the impact of infecting viral load, affinity to the ACE2 receptor, and age in an artificially infected population on the course of the disease.

Methods

We use a stochastic agent-based immune simulation platform to construct a virtual cohort of infecte

SUBMITTER: Castiglione F 

PROVIDER: S-EPMC8453017 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature