An evaluation of mathematical models for the outbreak of COVID-19.
Precis Clin Med
; 3(2): 85-93, 2020 Jun.
Artículo
en Inglés
| MEDLINE | ID: covidwho-342737
ABSTRACT
Mathematical modelling performs a vital part in estimating and controlling the recent outbreak of coronavirus disease 2019 (COVID-19). In this epidemic, most countries impose severe intervention measures to contain the spread of COVID-19. The policymakers are forced to make difficult decisions to leverage between health and economic development. How and when to make clinical and public health decisions in an epidemic situation is a challenging question. The most appropriate solution is based on scientific evidence, which is mainly dependent on data and models. So one of the most critical problems during this crisis is whether we can develop reliable epidemiological models to forecast the evolution of the virus and estimate the effectiveness of various intervention measures and their impacts on the economy. There are numerous types of mathematical model for epidemiological diseases. In this paper, we present some critical reviews on mathematical models for the outbreak of COVID-19. Some elementary models are presented as an initial formulation for an epidemic. We give some basic concepts, notations, and foundation for epidemiological modelling. More related works are also introduced and evaluated by considering epidemiological features such as disease tendency, latent effects, susceptibility, basic reproduction numbers, asymptomatic infections, herd immunity, and impact of the interventions.
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Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Tipo de estudio:
Estudio experimental
/
Estudio pronóstico
/
Revisiones
Idioma:
Inglés
Revista:
Precis Clin Med
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Pcmedi
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