A Mathematical Analysis of a COVID-19 SVEIQR Compartmental Model with Time-Varying Disease Transmission Rate

Lu Christian S. Ong; Mark Anthony C. Tolentino; Timothy Robin Y. Teng

doi:10.1063/5.0328355

A Mathematical Analysis of a COVID-19 SVEIQR Compartmental Model with Time-Varying Disease Transmission Rate

Department of Mathematics

Ateneo de Manila University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Article number	020008
Journal	AIP Conference Proceedings
Volume	3444
Issue number	1
DOIs	https://doi.org/10.1063/5.0328355
State	Published - Jun 9 2026
Event	International Conference on Mathematical Sciences and Technology 2024, MathTech 2024 - Penang, Malaysia Duration: Dec 3 2024 → Dec 5 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General Physics and Astronomy

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10.1063/5.0328355

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title = "A Mathematical Analysis of a COVID-19 SVEIQR Compartmental Model with Time-Varying Disease Transmission Rate",

author = "Ong, \{Lu Christian S.\} and Tolentino, \{Mark Anthony C.\} and Teng, \{Timothy Robin Y.\}",

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year = "2026",

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journal = "AIP Conference Proceedings",

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AU - Teng, Timothy Robin Y.

PY - 2026/6/9

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AN - SCOPUS:105042320536

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JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

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T2 - International Conference on Mathematical Sciences and Technology 2024, MathTech 2024

Y2 - 3 December 2024 through 5 December 2024

ER -

A Mathematical Analysis of a COVID-19 SVEIQR Compartmental Model with Time-Varying Disease Transmission Rate

UN SDGs

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