采用时间序列预测模型估算 2020 年巴西的超额死亡人数

Lucas F. Mateus, Fabricio Ourique, Analucia Schiaffino Morales, Millena Nayara da Silva
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引用次数: 0

摘要

目标:本文旨在了解 Covid-19 大流行病在巴西全国范围内的表现,并描述它如何影响死亡率。方法使用 ARIMA 建模概念和从统一卫生系统数据库中提取的数据建立预测模型,以估算 2020 年期间 COVID-19 在巴西造成的死亡人数。结果:据估计,COVID-19 平均每天造成 713 人死亡。结论即使考虑到预测结果中 COVID-19 造成的死亡记录,也会发现其组合低于实际曲线,这表明 2020 年巴西因该疾病造成的死亡人数存在漏报现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementación de un modelo de pronóstico de series de tiempo para estiman exceso de muertes en Brasil en 2020
Goals: The aim of this paper is to understand the behavior of the Covid-19 pandemic on the national Brazilian scenario and describe how it affected the mortality rate. Methods: Implement a predictor model using ARIMA modeling concepts and data extracted from the Unified Health System database, in order to estimate the number of deaths caused by COVID-19 in Brazil during 2020. Results: COVID-19 is estimated to have contributed, on average, to a surplus of 713 daily deaths. Conclusion: Even considering the records of deaths by COVID-19 on the result of the prediction, it is observed that the combination is below the real curve, which indicates that there is underreporting of deaths caused by this disease during the year 2020 in Brazil.
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