Stability analysis and system properties of Nipah virus transmission: A fractional calculus case study
In this paper, we establish a Caputo-type fractional model to study the Nipah virus
transmission dynamics. The model describes the impact of unsafe contact with an infectious …
transmission dynamics. The model describes the impact of unsafe contact with an infectious …
Modeling recapitulates the heterogeneous outcomes of SARS-CoV-2 infection and quantifies the differences in the innate immune and CD8 T-cell responses between …
SARS-CoV-2 infection results in highly heterogeneous outcomes, from cure without
symptoms to acute respiratory distress and death. Empirical evidence points to the …
symptoms to acute respiratory distress and death. Empirical evidence points to the …
Making waves: integrating wastewater surveillance with dynamic modeling to track and predict viral outbreaks
Wastewater surveillance has proved to be a valuable tool to track the COVID-19 pandemic.
However, most studies using wastewater surveillance data revolve around establishing …
However, most studies using wastewater surveillance data revolve around establishing …
A simple in-host model for COVID-19 with treatments: Model prediction and calibration
I Al-Darabsah, KL Liao, S Portet - Journal of Mathematical Biology, 2023 - Springer
In this paper, we provide a simple ODEs model with a generic nonlinear incidence rate
function and incorporate two treatments, blocking the virus binding and inhibiting the virus …
function and incorporate two treatments, blocking the virus binding and inhibiting the virus …
Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients
Once challenged by the SARS-CoV-2 virus, the human host immune system triggers a
dynamic process against infection. We constructed a mathematical model to describe host …
dynamic process against infection. We constructed a mathematical model to describe host …
A continuation technique for maximum likelihood estimators in biological models
T Cassidy - Bulletin of Mathematical Biology, 2023 - Springer
Estimating model parameters is a crucial step in mathematical modelling and typically
involves minimizing the disagreement between model predictions and experimental data …
involves minimizing the disagreement between model predictions and experimental data …
Control of complement-induced inflammatory responses to SARS-CoV-2 infection by anti-SARS-CoV-2 antibodies
M Bermejo-Jambrina, LEH van der Donk… - The EMBO …, 2024 - embopress.org
Dysregulated immune responses contribute to the excessive and uncontrolled inflammation
observed in severe COVID-19. However, how immunity to SARS-CoV-2 is induced and …
observed in severe COVID-19. However, how immunity to SARS-CoV-2 is induced and …
[HTML][HTML] DeepGT: Deep learning-based quantification of nanosized bioparticles in bright-field micrographs of Gires-Tournois biosensor
Rapid and decentralized quantification of viral load profiles in infected patients is vital for
assessing clinical severity and tailoring appropriate therapeutic strategies. Although …
assessing clinical severity and tailoring appropriate therapeutic strategies. Although …
Relationship between the inclusion/exclusion criteria and sample size in randomized controlled trials for SARS-CoV-2 entry inhibitors
Abstract The coronavirus disease 2019 (COVID-19) pandemic that has been ongoing since
2019 is still ongoing and how to control it is one of the international issues to be addressed …
2019 is still ongoing and how to control it is one of the international issues to be addressed …
Multi-Omic Candidate Screening for Markers of Severe Clinical Courses of COVID-19
A Dutsch, C Uhlig, M Bock, C Graesser… - Journal of Clinical …, 2023 - mdpi.com
Background: Severe coronavirus disease 2019 (COVID-19) disease courses are
characterized by immuno-inflammatory, thrombotic, and parenchymal alterations. Prediction …
characterized by immuno-inflammatory, thrombotic, and parenchymal alterations. Prediction …