Bayesian Spatio-Temporal Modeling of the Dynamics of COVID-19 Deaths in Peru

Amid the COVID-19 pandemic, understanding the spatial and temporal dynamics of the disease is crucial for effective public health interventions. This study aims to analyze COVID-19 data in Peru using a Bayesian spatio-temporal generalized linear model to elucidate mortality patterns and assess the i...

書誌詳細
出版年:	Entropy
主要な著者:	César Raúl Castro Galarza, Omar Nolberto Díaz Sánchez, Jonatha Sousa Pimentel, Rodrigo Bulhões, Javier Linkolk López-Gonzales, Paulo Canas Rodrigues
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-05-01
主題:	COVID-19 spatio-temporal modeling areal unit data spatio-temporal generalized linear model Bayesian statistics
オンライン･アクセス:	https://www.mdpi.com/1099-4300/26/6/474

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