阿根廷萨尔塔首次历史性寨卡疫情的泊松分布数生成模型

Juan Carlos Rosales, Betina Abad
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引用次数: 0

摘要

目的/目标::在这项工作中,我们通过使用泊松模型进行蒙特卡罗式模拟,描述了 2017 年在阿根廷萨尔塔首次记录到的历史性寨卡病毒爆发。随后,我们与之前的结果进行了比较:研究设计:回顾性描述研究和随机计算实验分析 研究地点和时间:研究地点和时间:阿根廷萨尔塔国立大学精密科学学院数学系。阿根廷萨尔塔国立大学数学系,2021 年 3 月至 2023 年 12 月:描述性和计算实验分析。通过最大似然法和蒙特卡罗模拟进行参数估计:我们通过蒙特卡洛模拟描述了 2017 年阿根廷萨尔塔首次历史性寨卡疫情爆发的概率行为。基于登记的寨卡病例数据,我们估计了一个概率泊松模型,其参数(\hat{\lambda}\)= 13:092 casesweek-1,置信区间为 95%CI [11:889-15:110]。最后,我们通过计算实验产生了 20 次流行病爆发。计算实验结果表明,从定性的角度来看,疫情的描述在质量上是可以接受的,并不优于先前研究中获得的概率模型。然而,从统计角度来看,在每个模型中进行 10 次比较运行的计算实验中,这些模型对阿根廷萨尔塔地区的寨卡病毒疫情爆发进行了模拟,在 5%的置信水平下没有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling by Generation of Poisson Distributed Numbers of First Historical Zika Outbreak in Salta, Argentina
Aims/ Objectives:: In this work we describe the first historical Zika virus outbreak recorded in Salta, Argentina, in the year 2017, through Monte Carlo-type simulations using the Poisson model. Later we made comparisons with previous results.Study Design: Retrospective-descriptive studies and stochastic computational experiment analysis Place and Duration of Study: Department of Mathematic, Faculty of Exact Sciences. National University of Salta, Argentina, from March 2021 to December 2023.Methodology: Descriptive and computational experiment analysis. Parameter estimation by Maximum Likelihood and Simulation of type Monte Carlo.Results: We describe the probabilistic behavior through Monte Carlo simulations of the first historical outbreak of Zika in Salta Argentina, 2017. Based on the data of registered Zika cases, we estimate a probabilistic Poisson model with parameter\(\hat{\lambda}\) = 13:092 casesweek-1 and confidence interval 95%CI [11:889- 15:110]. Finally, by computational experiments we generate epidemic outbreaks with 20 runs. The computational experiments shows that, from a qualitative point of view, the descriptions of the outbreak are qualitatively acceptable and they were not better than the probabilistic model obtained in a previous study. However, from the statistical point of view, carrying out computational experiments of 10 comparative runs in each model, the models provide simulations of epidemic outbreaks by Zika virus, for this region of Salta, Argentina, that do not differ significantly at a confidence level of 5%.
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