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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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MODELING THE HETEROSKEDASTIC NATURE OF EPIDEMICS: GARCH APPLICATIONS IN COVID-19 AND INFLUENZA INCIDENCE

2025Acta Scientifica MalaysiaJournalOpen access

10.26480/asm.01.2025.25.30 Full text0 citations

Authors

3 authors across 3 institutions in 1 country.

OLAYEMI Michael SundayFirst author
- Salem University (NG)
- Federal University Lokoja (NG)
- Kogi State University (NG)
as printed: Olayemi Michael Sunday
Olajide Oluwamayowa Opeyimika
Michael Sunday MichaelSenior author
- Salem University (NG)
- Federal University Lokoja (NG)
- Kogi State University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

COVID-19 epidemiological studieslevel 3 · 0.86
Data-Driven Disease Surveillancelevel 3 · 0.06
Financial Risk and Volatility Modelinglevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Acta Scientifica Malaysia · 0 citations
https://openalex.org/W7118523475

MODELING THE HETEROSKEDASTIC NATURE OF EPIDEMICS: GARCH APPLICATIONS IN COVID-19 AND INFLUENZA INCIDENCE · Sankore