Mathematical modeling for infectious viral disease

The Covid‐19 perspective

Bibliographic Data

ID12705271
AuthorsHafeez Aderinsayo Adekola (0000-0003-3132-3315, Department of Microbiology Olabisi Onabanjo University Ago‐Iwoye Ogun State Nigeria), Ibrahim Ayoade Adekunle (0000-0001-9007-0296, Department of Economics Olabisi Onabanjo University Ago‐Iwoye Ogun State Nigeria, corresponding author), Haneefat O Egberongbe (0000-0001-8738-1528, Olabisi Onabanjo University), Sefiu Onitilo (0000-0002-4418-197X, Olabisi Onabanjo University), Sefiu Adekunle Onitilo (Department of Mathematical Sciences Olabisi Onabanjo University Ago Iwoye Ogun State Nigeria), Idris Nasir Abdullahi (0000-0002-5511-1272, Department of Medical Laboratory Science, Faculty of Allied Health Sciences, College of Medical Sciences Ahmadu Bello University Zaria Nigeria)
Year2020
Volume20
Issue4
Pagese2306-e2306
Publication date2020-08-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Public Affairs (JOURNAL)
Journal identifiersISSN: 1472-3891 • E-ISSN: 1479-1854
PublisherWiley (PUBLISHER • GB)
DOI10.1002/pa.2306
PMID32904838
OpenAlexW3080271271
LanguageEN
Citations received4
References cited23

In this study, we examined various forms of mathematical models that are relevant for the containment, risk analysis, and features of COVID-19. Greater emphasis was laid on the extension of the Susceptible-Infectious-Recovered (SIR) models for policy relevance in the time of COVID-19. These mathematical models play a significant role in the understanding of COVID-19 transmission mechanisms, structures, and features. Considering that the disease has spread sporadically around the world, causing large scale socioeconomic disruption unwitnessed in contemporary ages since World War II, researchers, stakeholders, government, and the society at large are actively engaged in finding ways to reduce the rate of infection until a cure or vaccination procedure is established. We advanced argument for the various forms of the mathematical model of epidemics and highlighted their relevance in the containment of COVID-19 at the present time. Mathematical models address the need for understanding the transmission dynamics and other significant factors of the disease that would aid policymakers to make accurate decisions and reduce the rate of transmission of the disease

2019-20 coronavirus outbreak · Biology · Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Outbreak · Perspective (graphical · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Computer Science · COVID-19 epidemiological studies · Medicine · SARS-CoV-2 and COVID-19 Research · Viral Infections and Outbreaks Research · Artificial Intelligence · Internal Medicine · Virology

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