Modelling COVID-19 cases and deaths with climate variables using statistical and data science methods

Journal article

Peer reviewed

Md Karimuzzaman, Sabrina Afroz, Md Moyazzem Hossain and Azizur Rahman

Soft computing (Berlin, Germany), v 28(21), pp 12561-12574

01 Nov 2024

Additional Links

Climate variables

Count time series

COVID-19

Likelihood-based GLM

Machine Learning

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Title: Modelling COVID-19 cases and deaths with climate variables using statistical and data science methods
Creators: Md Karimuzzaman - Drexel University
Sabrina Afroz - Jahangirnagar University
Md Moyazzem Hossain (Corresponding Author) - Jahangirnagar University
Azizur Rahman - Charles Sturt University
Publication Details: Soft computing (Berlin, Germany), v 28(21), pp 12561-12574
Publisher: Springer Nature
Number of pages: 14
Resource Type: Journal article
Language: English
Academic Unit: Dana and David Dornsife School of Public Health
Scopus ID: 2-s2.0-85210005693
Other Identifier: 991022202090404721