The mathematical and machine learning models to forecast the COVID-19 outbreaks in Bangladesh-Reference-Cited by-同舟云学术

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The mathematical and machine learning models to forecast the COVID-19 outbreaks in Bangladesh

Published:2022-02-21 Issue:3 Volume:25 Page:753-772
ISSN:0972-0502
Container-title:Journal of Interdisciplinary Mathematics
language:en
Short-container-title:Journal of Interdisciplinary Mathematics

Author:

Babu Md. Ashraful¹,Ahmmed Md. Mortuza²,Ferdousi Amena³,Mostafizur Rahman M.²,Saiduzzaman Md.¹,Bhatnagar Vaibhav⁴,Raja Linesh⁴,Poonia Ramesh Chandra⁵

Affiliation:

1. Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka 1230, Bangladesh

2. Department of Mathematics, American International University - Bangladesh (AIUB), Dhaka 1229, Bangladesh

3. Department of Computer Science, Eastern University, Ashulia, Savar, Dhaka, Bangladesh

4. Department of Computer Applications, Manipal University Jaipur, Rajasthan, India

5. Department of Computer Science, CHRIST (Deemed to be University), Bangalore 560029, Karnataka, India

Publisher

Taru Publications

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720502.2021.2015095

Reference51 articles.

1. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China

2. South Asia is more vulnerable to COVID-19 pandemic

3. Genetic analysis of SARS-CoV-2 isolates collected from Bangladesh: Insights into the origin, mutational spectrum and possible pathomechanism

4. Strategic assessment of COVID-19 pandemic in Bangladesh: comparative lockdown scenario analysis, public perception, and management for sustainability

5. A Statistical Modeling of the Course of COVID-19 (SARS-CoV-2) Outbreak: A Comparative Analysis

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1. Statistic analysis of IPL match score and winner inning wise using machine learning algorithms;Journal of Interdisciplinary Mathematics;2024

2. Environmental, meteorological and pandemic restriction-related variables affecting SARS-CoV-2 cases;Environmental Science and Pollution Research;2023-10-28

3. COVID-19 and SDG 3 in Bangladesh: A Statistical and Machine Learning Approach;Lecture Notes in Electrical Engineering;2023

4. The FBProphet forecasting model to evaluate the spread of COVID-19 pandemic: A machine learning approach;Journal of Interdisciplinary Mathematics;2022-10-03

5. Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review;International Journal of Environmental Research and Public Health;2022-04-22

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