Identifying waves of COVID-19 mortality using skew normal curves

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-06-18 DOI:10.1080/02664763.2024.2351467

Kamal Rai, Patrick E. Brown

引用次数: 0

Abstract

We propose a model for multiple waves of an epidemic that decomposes the health outcome of interest into the sum of scaled skew normal curves. When applied to daily COVID-19 mortality in six region...

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利用倾斜正态曲线识别 COVID-19 死亡率波形

我们提出了一个多波流行病模型，该模型将相关的健康结果分解为按比例倾斜正态曲线的总和。将该模型应用于六个地区的每日 COVID-19 死亡率...

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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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.