Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model-Reference-Cited by-同舟云学术

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Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model

Published:2021 Issue: Volume: Page:583-596
ISSN:
Container-title:Data Science for COVID-19
language:
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Author:

Olisah Chollette C.,Ilori Olusoji O.,Adelaja Kunle,Usip Patience U.,Uzoechi Lazarus O.,Adeyanju Ibrahim A.,Odumuyiwa Victor T.

Publisher

Elsevier

Reference31 articles.

1. COVID-19 Case Update,2020

2. CoronaTracker: World-wide COVID-19 outbreak data analysis and prediction;Hamzah;Bull. World Health Organ.,2020

3. Data-based analysis, modelling and forecasting of the COVID-19 outbreak;Anastassopoulou;PLoS One,2020

4. Modeling and predictions for COVID 19 spread in India;Arti;Researchgate,2020

5. Mathematical Predictions for COVID-19 as a Global Pandemic. medRxiv;Okhuese,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Covid-19 Knowledge Graphs and Their Data Sources;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

2. Forecasting the Trends of Covid-19 and Causal Impact of Vaccines Using Bayesian Structural time Series and ARIMA;Annals of Data Science;2022-06-13

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