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1.
Math Biosci Eng ; 16(5): 3936-3946, 2019 05 06.
Artículo en Inglés | MEDLINE | ID: mdl-31499643

RESUMEN

In this paper, the SEIR model is generalized by introducing an asymptomatic class to quantify the influence of wearing N95 facemasks in reducing the spread of influenza H1N1. What's more, we explain the control reproduction number Rc according to the biological meaning reasonably. Without any intervention, the basic reproduction number R0=1.83 and there will be a large outbreak of infectious diseases. If N95 facemasks are 50% effective in reducing susceptibility and infectivity, 50% of population wear them on the first day, the basic reproduction number will be decreased from 1.83 to 1.17 and the final size reduced from 73% to 2%.


Asunto(s)
Infecciones Asintomáticas/epidemiología , Gripe Humana/epidemiología , Gripe Humana/prevención & control , Máscaras , Número Básico de Reproducción , Simulación por Computador , Humanos , Subtipo H1N1 del Virus de la Influenza A , Gripe Humana/transmisión , Modelos Teóricos , Pandemias/prevención & control
2.
Infect Dis Model ; 2(3): 353-367, 2017 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-29928747

RESUMEN

In this paper, an extended heterogeneous SIR model is proposed, which generalizes the heterogeneous mean-field theory. Different from the traditional heterogeneous mean-field model only taking into account the heterogeneity of degree, our model considers not only the heterogeneity of degree but also the heterogeneity of susceptibility and recovery rates. Then, we analytically study the basic reproductive number and the final epidemic size. Combining with numerical simulations, it is found that the basic reproductive number depends on the mean of distributions of susceptibility and disease course when both of them are independent. If the mean of these two distributions is identical, increasing the variance of susceptibility may block the spread of epidemics, while the corresponding increase in the variance of disease course has little effect on the final epidemic size. It is also shown that positive correlations between individual susceptibility, course of disease and the square of degree make the population more vulnerable to epidemic and avail to the epidemic prevalence, whereas the negative correlations make the population less vulnerable and impede the epidemic prevalence.

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