Logo Lanfrica

Predicting the Effects of COVID-19 Vaccines on Nigerians Using an Ensemble Approach

Domain:

healthcare

Record type:

paper
Creator:
AbuADASagAbd
Editor:
AbuADASagAbd
Publisher:
Zenodo
Host:avatar

PAIDeF SuperAI 2025 Conference


Predicting the Effects of COVID-19 Vaccines on Nigerians Using an Ensemble Approach

Authors: Alhassan Adamu, Umma Abubakar, Alhassan Adamu, Isah Tajiri Sagagi, Salisu Mamman Abdurrahman

Tags

Machine learningMachine LearningSupervised Machine Learning

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

An Ensemble Approach to Predicting the Impact of Vaccination on Rotavirus Disease in Niger

Recently developed vaccines provide a new way of controlling rotavirus in sub-Saharan Africa. Models

Willingness to Take COVID-19 Vaccines in Ethiopia: An Instrumental Variable Probit Approach

This paper analyzed the factors influencing the willingness of Ethiopia’s population to take COVID-1

Predicting the spread of Chikungunya using an ensemble regression approach: A case study of Chad, Brazil and Paraguay

The Chikungunya virus, primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes

An efficient explicit approach for predicting the Covid-19 spreading with undetected infectious: The case of Cameroon

This paper considers an explicit numerical scheme for solving the mathematical model of the propagat

Vaccine Side Effects Following COVID-19 Vaccination with Inactivated Vaccines in Zimbabwe

Vaccination is one of the most effective methods for preventing morbidity and mortality from COVID-1

Predicting the COVID-19 epidemic in Algeria using the SIR model

Abstract The aim of this study is to predict the daily infected cases with Coronav