Modeling the COVID-19 pandemic: a primer and overview of mathematical epidemiology
SeMA Journal
; 79(2):225-251, 2022.
Article
in English
| ProQuest Central | ID: covidwho-1850494
ABSTRACT
Since the start of the still ongoing COVID-19 pandemic, there have been many modeling efforts to assess several issues of importance to public health. In this work, we review the theory behind some important mathematical models that have been used to answer questions raised by the development of the pandemic. We start revisiting the basic properties of simple Kermack-McKendrick type models. Then, we discuss extensions of such models and important epidemiological quantities applied to investigate the role of heterogeneity in disease transmission e.g. mixing functions and superspreading events, the impact of non-pharmaceutical interventions in the control of the pandemic, vaccine deployment, herd-immunity, viral evolution and the possibility of vaccine escape. From the perspective of mathematical epidemiology, we highlight the important properties, findings, and, of course, deficiencies, that all these models have.
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Observational study
Language:
English
Journal:
SeMA Journal
Year:
2022
Document Type:
Article
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