Last Updated: 04/07/2025

Mathematical and statistical methods for modelling invivo pathogen dynamics

Objectives

This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection.

Principal Investigators / Focal Persons

James McCarthy
Julie Simpson
Federico Frascoli

Partner Investigators

Jane Heffernan

Rationale and Abstract

When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will improve biomathematics and biostatistical algorithms for pathogen dynamics and is ultimately expected to benefit public health and clinical research aimed at alleviating the effect of infectious diseases on human health.

Themes

Modeling

Date

Jan 2017 — Jun 2020

Total Project Funding

$256,195

Funding Details
Australian Research Council (ARC), Australia

Grant ID: DP170103076
AUD 351,371
Country / Project Site(s)

Australia

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