Disease Simulation
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Disease Simulation Portal

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Mathematical Modeling and Simulation

Explore mathematical models for disease spread and impact through interactive visualizations.
Mathematical models help us understand infectious diseases by projecting their progression and assessing intervention strategies.

Japanese Encephalitis Model

Japanese Encephalitis

This multi-host disease transmission model describes the spread of infection among wading birds, pigs, mosquitoes, and humans using a compartmental framework. Each host population is categorized into different states such as Susceptible (S), Infected (I), and Recovered (R), incorporating direct and vector-borne transmission pathways. The model accounts for environmental persistence, host-specific infection dynamics, temperature-dependent transmission rates, and intervention strategies like vaccination and vector control.

African Swine Fever Model

African Swine Fever

We developed an ASF mathematical model to understand disease epidemiology, define compartmental structures, and incorporate key transmission pathways, including environmental persistence and mechanical vectors. The model accounts for factors like transmission rates, mortality, temperature, and humidity affecting virus survival. Sensitivity analysis identified critical parameters influencing disease spread, while numerical simulations evaluated control strategies such as biosecurity, disinfection, and vaccination.

Scrub Typhus Model

Scrub Typhus

Scrub typhus is transmitted to humans through the bite of infected chigger mites, the larval stage of trombiculid mites, which act as vectors for the bacterium Orientia tsutsugamushi. The infection cycle is maintained through transovarial and transstadial transmission. Reservoir hosts, such as rodents and small mammals, sustain the bacterium in the environment. Humans are incidental hosts and do not contribute to the pathogen's lifecycle. The disease is commonly acquired in rural or forested areas where chiggers are abundant.