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[Stochastic model of infectious diseases transmission].

Authors: Juan, Ruiz-Ramírez; Gabriela Eréndira, Hernández-Rodríguez;

[Stochastic model of infectious diseases transmission].

Abstract

Propose a mathematic model that shows how population structure affects the size of infectious disease epidemics.This study was conducted during 2004 at the University of Colima. It used generalized small-world network topology to represent contacts that occurred within and between families. To that end, two programs in MATLAB were conducted to calculate the efficiency of the network. The development of a program in the C programming language was also required, that represents the stochastic susceptible-infectious-removed model, and simultaneous results were obtained for the number of infected people.An increased number of families connected by meeting sites impacted the size of the infectious diseases by roughly 400%.Population structure influences the rapid spread of infectious diseases, reaching epidemic effects.

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Keywords

Stochastic Processes, Humans, Models, Theoretical, Communicable Diseases

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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