[HTML][HTML] From infection to immunity: understanding the response to SARS-CoV2 through in-silico modeling

F Castiglione, D Deb, AP Srivastava, P Liò… - Frontiers in …, 2021 - frontiersin.org
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 …

Predicting the kinetic coordination of immune response dynamics in SARS-CoV-2 infection: implications for disease pathogenesis

D Grebennikov, A Karsonova, M Loguinova, V Casella… - Mathematics, 2022 - mdpi.com
A calibrated mathematical model of antiviral immune response to SARS-CoV-2 infection is
developed. The model considers the innate and antigen-specific responses to SARS-CoV-2 …

Identifying immunological and clinical predictors of COVID-19 severity and sequelae by mathematical modeling

NM Elemam, S Hammoudeh, L Salameh… - Frontiers in …, 2022 - frontiersin.org
Since its emergence as a pandemic in March 2020, coronavirus disease (COVID-19)
outcome has been explored via several predictive models, using specific clinical or …

COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes

AL Jenner, RA Aogo, S Alfonso, V Crowe… - PLoS …, 2021 - journals.plos.org
To understand the diversity of immune responses to SARS-CoV-2 and distinguish features
that predispose individuals to severe COVID-19, we developed a mechanistic, within-host …

In-host mathematical modelling of COVID-19 in humans

EA Hernandez-Vargas, JX Velasco-Hernandez - Annual reviews in control, 2020 - Elsevier
COVID-19 pandemic has underlined the impact of emergent pathogens as a major threat to
human health. The development of quantitative approaches to advance comprehension of …

Mathematical modeling of interaction between innate and adaptive immune responses in COVID‐19 and implications for viral pathogenesis

SQ Du, W Yuan - Journal of medical virology, 2020 - Wiley Online Library
We have applied mathematical modeling to investigate the infections of the ongoing
coronavirus disease‐2019 (COVID‐19) pandemic caused by SARS‐CoV‐2 virus. We first …

In silico dynamics of COVID-19 phenotypes for optimizing clinical management

C Voutouri, MR Nikmaneshi… - Proceedings of the …, 2021 - National Acad Sciences
Understanding the underlying mechanisms of COVID-19 progression and the impact of
various pharmaceutical interventions is crucial for the clinical management of the disease …

Data-driven multi-scale mathematical modeling of SARS-CoV-2 infection reveals heterogeneity among COVID-19 patients

S Wang, M Hao, Z Pan, J Lei, X Zou - PLoS Computational …, 2021 - journals.plos.org
Patients with coronavirus disease 2019 (COVID-19) often exhibit diverse disease
progressions associated with various infectious ability, symptoms, and clinical treatments. To …

Computational simulations to dissect the cell immune response dynamics for severe and critical cases of SARS-CoV-2 infection

R Blanco-Rodriguez, X Du… - Computer methods and …, 2021 - Elsevier
Background: COVID-19 is a global pandemic leading to high death tolls worldwide day by
day. Clinical evidence suggests that COVID-19 patients can be classified as non-severe …

Modeling recapitulates the heterogeneous outcomes of SARS-CoV-2 infection and quantifies the differences in the innate immune and CD8 T-cell responses between …

B Chatterjee, H Singh Sandhu, NM Dixit - PLoS Pathogens, 2022 - journals.plos.org
SARS-CoV-2 infection results in highly heterogeneous outcomes, from cure without
symptoms to acute respiratory distress and death. Empirical evidence points to the …