流行病学:COVID-19大流行复杂系统中数学和计算模型的分析和构建

Anais do X Encontro Nacional de Computação dos Institutos Federais (EnCompIF 2023) Pub Date : 2023-08-06 DOI:10.5753/encompif.2023.229932

Luan Crisostomo Pinto, Maria Luiza Rodrigues Defante, Rodrigo Lacerda da Silva

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引用次数: 0

摘要

流行病学教科书数学模型SIS(易感-感染-易感)为基于当前Covid-19大流行的可观察行为提出新的改进模型提供了基础。本研究的目的是分析该系统的行为以及封锁因素对感染个体的影响。本文提出的模型名为SIERDASHQ(易感-感染-暴露-康复-死亡-无症状-有症状-住院-隔离)，使用表达国家层面大流行情况的值进行模拟，从而可以将数据与程序生成的图形进行比较，从而证实了模型的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Epidemiology: Analysis And Construction Of A Mathematical And Computational Model In Complex Systems For The COVID-19 Pandemic

The textbook mathematical model in epidemiology - SIS (Susceptible-Infected-Susceptible) provided the basis for proposing a new and improved model based on the observable behaviors of the current Covid-19 pandemic. The goal of this study was to analyze the behavior of the system and the influence of the LockDown factor on infected individuals. The model proposed here, called SIERDASHQ (Susceptible - Infected - Exposed - Recovered - Deceased - Asymptomatic - Symptomatic - Hospitalized - Quarantined), was simulated with values that expressed the situation of the pandemic at the national level, making it possible to compare data to the graphics produced by the program, which confirms the validity of the model.

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Anais do X Encontro Nacional de Computação dos Institutos Federais (EnCompIF 2023)

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