COVID-19 Dynamics: A Heterogeneous Model.
Front Public Health
; 8: 558368, 2020.
Artículo
en Inglés
| MEDLINE | ID: covidwho-1063364
Preprint
Este artículo de revista científica es probablemente basado en un preprint previamente disponible, por medio del reconocimiento de similitud realizado por una máquina. La confirmación humana aún está pendiente.
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Este artículo de revista científica es probablemente basado en un preprint previamente disponible, por medio del reconocimiento de similitud realizado por una máquina. La confirmación humana aún está pendiente.
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ABSTRACT
The mathematical model reported here describes the dynamics of the ongoing coronavirus disease 2019 (COVID-19) epidemic, which is different in many aspects from the previous severe acute respiratory syndrome (SARS) epidemic. We developed this model when the COVID-19 epidemic was at its early phase. We reasoned that, with our model, the effects of different measures could be assessed for infection control. Unlike the homogeneous models, our model accounts for human population heterogeneity, where subpopulations (e.g., age groups) have different infection risks. The heterogeneous model estimates several characteristics of the epidemic more accurately compared to the homogeneous models. According to our analysis, the total number of infections and their peak number are lower compared to the assessment with the homogeneous models. Furthermore, the early-stage infection increase is little changed when population heterogeneity is considered, whereas the late-stage infection decrease slows. The model predicts that the anti-epidemic measures, like the ones undertaken in China and the rest of the world, decrease the basic reproductive number but do not result in the development of a sufficient collective immunity, which poses a risk of a second wave. More recent developments confirmed our conclusion that the epidemic has a high likelihood to restart after the quarantine measures are lifted.
Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
COVID-19
/
Modelos Teóricos
Tipo de estudio:
Estudio experimental
/
Estudio observacional
/
Estudio pronóstico
/
Ensayo controlado aleatorizado
Límite:
Humanos
País/Región como asunto:
Asia
Idioma:
Inglés
Revista:
Front Public Health
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
Fpubh.2020.558368
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