Epidemiology Through Cellular Automata: Case of Study Avian Influenza in Indonesia

TL;DR

This study uses cellular automata to model and simulate the spread of avian influenza in Indonesia, providing insights into disease dynamics and potential control measures based on spatial epidemiology.

Contribution

It introduces a cellular automata-based computational model for simulating avian influenza spread in Indonesia, integrating transportation data and initial infection sites.

Findings

Simulation shows the spread rate of avian influenza.

Isolation of infected areas can effectively prevent pandemic spread.

Model provides a simple visualization of disease dynamics.

Abstract

This paper performs the utilization of cellular automata computational analysis as the dynamic model of spatial epidemiology. Here, explored elementary aspects of cellular automata and its application in analyzing contagious disease, in this case avian influenza disease in Indonesia. Computational model is built and map-based simulation is performed using several simplified data of such transportation through sea in Indonesia, and its accordance with poultries in Indonesia, with initial condition of notified avian influenza infected area in Indonesia. The initial places are Pekalongan, West Java, East Java, and several regions in Sumatera. The result of simulation is showing the spreading-rate of influenza and in simple way and describing possible preventive action through isolation of infected areas as a major step of preventing pandemic.