新冠肺炎疫情背景下远程会诊统计分析

Q4 Mathematics

Communications in Statistics Case Studies Data Analysis and Applications Pub Date : 2022-04-08 DOI:10.1080/23737484.2022.2056547

Eddie Sainte-Rose, J. Vaillant

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引用次数: 0

摘要

研究2020年3 - 5月法属西印度群岛马提尼克岛新冠肺炎疫情相关远程会诊的时空分布。提出了用于检测高频区域的统计工具。考虑到协变量对远程会诊的影响及其随时间的演变，讨论了所谓扫描方法的数学建模。介绍了R编程环境和SaTScan软件中可用的一些工具。对新型冠状病毒肺炎远程会诊进行时空统计分析。介绍了人们使用远程咨询频率明显高于其他地方的地区，并根据协变量对这些结果进行了讨论，这些协变量提供了有关马提尼克岛具体特征的相关信息。

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Statistical analysis of teleconsultations in the context of the COVID-19 epidemic

Abstract We consider the spatial and temporal distribution of teleconsultations associated with the COVID-19 epidemic in Martinique, French West Indies from March to May 2020. Statistical tools for the detection of high-frequency areas are presented. The mathematical modeling underlying the so-called scanning methods are discussed taking into account the influence of covariates on teleconsultation occurrences and their evolution over time. Some tools available in the R programming environment and the SaTScan software are presented. The spatio-temporal statistical analysis of COVID-19 teleconsultations is performed. Areas for which the frequencies of people using teleconsultations are significantly higher than elsewhere are presented and these results are discussed with respect to covariates providing relevant information on specific characteristics of Martinique island.

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来源期刊

Communications in Statistics Case Studies Data Analysis and Applications Mathematics-Analysis

CiteScore

1.00

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0.00%

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