Voting Rule Based Cellular Automata Epidemic Spread Model for Leptospirosis

Epidemiology is the study of spread of diseases among the group of population. If not controlled properly, the epidemic would cause an enormous number of problems and lead to pandemic situation. Here in this paper we consider the situation of populated areas where people live in patches. A dynamic cellular automata model for population in patches is being proposed in this paper. This work not only explores the computing power of cellular automata in modeling the epidemic spread but also provides the pathway in reduction of computing time when using the dynamic cellular automata model for the patchy population when compared to the static cellular automata which is used for a nonpatchy homogeneous population. The variation of the model with movement of population among the patches is also explored which provides an efficient way for evacuation planning and vaccination of infected areas.

Download Full-text

Epidemic Spread Modeling with Time Variant Infective Population Using Pushdown Cellular Automata

Journal of Computational Environmental Sciences ◽

10.1155/2014/769064 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10

Author(s):

Senthil Athithan ◽

Vidya Prasad Shukla ◽

Sangappa Ramachandra Biradar

Keyword(s):

Cellular Automata ◽

Real Time ◽

Disease Spread ◽

Abu Dhabi ◽

Epidemic Spread ◽

Time Data ◽

Cellular Automata Model ◽

Spread Model ◽

The World ◽

Real Time Data

The world without a disease is a dream of any human being. The disease spread if not controlled could cause an epidemic situation to spread and lead to pandemic. To control an epidemic we need to understand the nature of its spread and the epidemic spread model helps us in achieving this. Here we propose an epidemic spread model which considers not only the current infective population around the population but also the infective population which remain from the previous generations for computing the next generation infected individuals. A pushdown cellular automata model which is an enhanced version of cellular automata by adding a stack component is being used to model the epidemic spread and the model is validated by the real time data of H1N1 epidemic in Abu Dhabi.

Download Full-text

Earthquake damage modeling using cellular automata and fuzzy rule-based models

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07595-1 ◽

2021 ◽

Vol 14 (13) ◽

Author(s):

Rasool Vahid ◽

Farshid Farnood Ahmadi ◽

Nazila Mohammadi

Keyword(s):

Cellular Automata ◽

Fuzzy Rule ◽

Earthquake Damage ◽

Damage Modeling ◽

Rule Based

Download Full-text

A networked voting rule for democratic representation

Royal Society Open Science ◽

10.1098/rsos.172265 ◽

2018 ◽

Vol 5 (3) ◽

pp. 172265 ◽

Cited By ~ 1

Author(s):

Alexis R. Hernández ◽

Carlos Gracia-Lázaro ◽

Edgardo Brigatti ◽

Yamir Moreno

Keyword(s):

Large Scale ◽

Selection Process ◽

General Relation ◽

Community Size ◽

Rule Based ◽

Voting Rule ◽

Large Populations ◽

Negative Effect ◽

High Connectivity ◽

Better Than

We introduce a general framework for exploring the problem of selecting a committee of representatives with the aim of studying a networked voting rule based on a decentralized large-scale platform, which can assure a strong accountability of the elected. The results of our simulations suggest that this algorithm-based approach is able to obtain a high representativeness for relatively small committees, performing even better than a classical voting rule based on a closed list of candidates. We show that a general relation between committee size and representatives exists in the form of an inverse square root law and that the normalized committee size approximately scales with the inverse of the community size, allowing the scalability to very large populations. These findings are not strongly influenced by the different networks used to describe the individuals’ interactions, except for the presence of few individuals with very high connectivity which can have a marginal negative effect in the committee selection process.

Download Full-text

Cellular automata and rule based techniques in ecohydraulics modelling

Cellular Automata and Artificial Intelligence in Ecohydraulics Modelling ◽

10.1201/9781482298406-14 ◽

2004 ◽

pp. 119-142

Keyword(s):

Cellular Automata ◽

Rule Based

Download Full-text

Simulation of AIDS Spread Model Based on Cellular Automata

Proceedings of the 2015 International Forum on Bioinformatics and Medical Engineering ◽

10.2991/bme-15.2015.1 ◽

2015 ◽

Author(s):

Jiatai Gang ◽

Sisi Liu ◽

Jian Lu ◽

Zhiwei Zhao ◽

Xinxin Tan

Keyword(s):

Cellular Automata ◽

Model Based ◽

Spread Model

Download Full-text

Modeling quarantine during epidemics and mass-testing using drones

10.1101/2020.04.15.20067025 ◽

2020 ◽

Cited By ~ 2

Author(s):

Leonid Sedov ◽

Alexander Krasnochub ◽

Valentin Polishchuk

Keyword(s):

Differential Equations ◽

Metropolitan Area ◽

Extended Model ◽

Epidemic Spread ◽

Infected People ◽

Peak Number ◽

Infected Population ◽

Sir Epidemic ◽

Spread Model ◽

Over Time

We extend the classical SIR epidemic spread model by introducing the “quarantined” compartment. We solve (numerically) the differential equations that govern the extended model and quantify how quarantining “flattens the curve” for the proportion of infected population over time. Furthermore, we explore the potential of using drones to deliver tests, enabling mass-testing for the infection; we give a method to estimate the drone fleet needed to deliver the tests in a metropolitan area. Application of our models to COVID-19 spread in Sweden shows how the proposed methods could substantially decrease the peak number of infected people, almost without increasing the duration of the epidemic.

Download Full-text