Various tools for investigate the data in this data portal or models
🧬 Conceptual Overview While many epidemic models focus on transmission between individuals, the Influenza within-host target cell limited model zooms into the respiratory epithelium to describe the internal dynamics of infection. The host is treated as a closed biological system in which influenza virions interact with epithelial cells lining the airway. The framework is often … Read more
🧬 Conceptual Overview Traditional compartmental epidemic models typically assume that an individual’s infectivity remains constant throughout the course of infection. The Infectious Period Structured (PDE) Model, also known as the Time-Since-Infection or Age-of-Infection model, relaxes this assumption by explicitly accounting for how infectiousness evolves over time. By structuring the infected population according to infection age … Read more
🧬 Conceptual Overview Within the hierarchy of epidemiological tools, the Incidence–Prevalence (IP) model provides a critical bridge between disease dynamics and disease burden. Whereas mechanistic transmission models emphasize how infections occur, the IP model focuses on reconciling two fundamental epidemiological quantities: the rate at which new cases arise (incidence) and the total number of individuals … Read more
🧬 Overview and Conceptual Motivation In many real-world epidemics, the assumption of a perfectly well-mixed population fails to capture observed patterns of spread. The Hybrid ODE–PDE Epidemic Transport Model addresses this limitation by explicitly coupling local biological dynamics with spatial movement. Ordinary Differential Equations (ODEs) describe infection processes at a specific location, while Partial Differential … Read more
🧬 Overview and Conceptual Motivation For pathogens transmitted through an intermediate organism, transmission dynamics cannot be captured by single-population models. The Host–Vector SEIR–SEI model with latency is a rigorous framework designed to describe diseases such as Dengue, Zika, Malaria, and West Nile virus. The defining feature of this model is the explicit inclusion of Exposed … Read more
🧬 Overview and Conceptual Motivation In healthcare facilities, pathogen transmission follows a structure fundamentally different from community spread. The Patient–Healthcare Worker (HCW) Transmission Model is designed to capture this distinct nosocomial environment by explicitly representing healthcare workers as dynamic vectors. Rather than passive participants, HCWs both acquire pathogens from infected patients and actively mediate transmission … Read more
🧬 Overview and Conceptual Motivation While many epidemiological frameworks focus on transmission between individuals, the HIV Within-Host Viral Dynamics Model shifts attention to processes occurring inside a single infected individual. This model operates at the cellular scale and is central to understanding how Human Immunodeficiency Virus (HIV) interacts with the immune system, particularly CD4⁺ T … Read more
🧬 Overview and Conceptual Motivation Many epidemiological frameworks are designed to describe short-term outbreak dynamics that eventually fade away. The Hethcote SIR Endemic Model extends this perspective by explicitly incorporating vital dynamics, namely births and natural deaths. This extension shifts the analytical focus from a single epidemic wave to the long-term persistence of infection within … Read more
🧬 Overview and Conceptual Motivation In advanced infectious disease modeling, the assumption of homogeneous mixing—where every individual has an equal probability of contacting any other—is often a mathematical convenience rather than a biological reality. Heterogeneous Mixing, implemented through Multi-Group SIR models, addresses this limitation by partitioning the population into distinct subgroups defined by age, behavior, … Read more
🧬 Overview and Conceptual Motivation Classical epidemic models commonly assume homogeneous mixing and identical susceptibility across individuals. The Heterogeneous Susceptibility SIR model relaxes this assumption by explicitly recognizing that individuals differ in their vulnerability to infection due to genetics, prior immunity, age, health status, or behavior. By incorporating variation in susceptibility, this framework explains why … Read more