Modeling Immunity to Malaria with an Age-Structured PDE Framework
Zhuolin Qu, Denis Patterson, Lauren Childs, Christina Edholm, Joan, Ponce, Olivia Prosper, Lihong Zhao

TL;DR
This paper introduces a new age-structured PDE model for malaria that integrates vector-host dynamics with immunity development, providing insights into disease spread, immunity acquisition, and vaccination impacts.
Contribution
The paper presents a novel PDE framework coupling immunity dynamics with transmission, including a probabilistic interpretation of $\
Findings
Model captures age-specific immunity and infection heterogeneity.
Endemic equilibrium exists with a forward bifurcation at $\
Vaccination reduces severe disease in children but may increase it in older children due to immunity effects.
Abstract
Malaria is one of the deadliest infectious diseases globally, causing hundreds of thousands of deaths each year. It disproportionately affects young children, with two-thirds of fatalities occurring in under-fives. Individuals acquire protection from disease through repeated exposure, and this immunity plays a crucial role in the dynamics of malaria spread. We develop a novel age-structured PDE malaria model, which couples vector-host epidemiological dynamics with immunity dynamics. Our model tracks the acquisition and loss of anti-disease immunity during transmission and its corresponding nonlinear feedback onto the transmission parameters. We derive the basic reproduction number () as the threshold condition for the stability of disease-free equilibrium; we also interpret probabilistically as a weighted sum of cases generated by infected individuals at…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Evolution and Genetic Dynamics · Malaria Research and Control
