论文标题

研究在印度共同研究期间无症状生长的地下模型

SEIRD model to study the asymptomatic growth during COVID-19 pandemic in India

论文作者

Chatterjee, Saptarshi, Sarkar, Apurba, Karmakar, Mintu, Chatterjee, Swarnajit, Paul, Raja

论文摘要

根据当前的看法,有症状,症状和无症状的传染病患者可以感染容易受到SARS-COV-2的健康人群。更重要的是,各种报告表明,无症状病例的数量可能比报告的有症状病例高几倍。在本文中,我们将报道的案件在印度和该国境内的各个州进行,直到9月1日,作为了解Covid-19的进展的标本。使用改良的SEIRD模型,我们预测了Covid-19通过有症状和无症状的传染性人群的传播。考虑到报道的感染主要是由于症状,我们将模型预测结果与可用数据进行比较,以估计无症状感染人群的动态。我们的数据表明,在没有无症状的传染群体的情况下,有症状的病例的数量将少得多。因此,通过广泛或随机的测试使无症状感染人群隔离症状感染的当前进展。这项研究是严格朝着学术追求而动机的。这项理论调查并不是要影响政策决策或公共卫生实践。

According to the current perception, symptomatic, presymptomatic, and asymptomatic infectious persons can infect the healthy population susceptible to the SARS-Cov-2. More importantly, various reports indicate that the number of asymptomatic cases can be several-fold higher than the reported symptomatic cases. In this article, we take the reported cases in India and various states within the country till September 1, as the specimen to understand the progression of the COVID-19. Employing a modified SEIRD model, we predict the spread of COVID-19 by the symptomatic as well as asymptomatic infectious population. Considering reported infection primarily due to symptomatic we compare the model predicted results with the available data to estimate the dynamics of the asymptomatically infected population. Our data indicate that in the absence of the asymptomatic infectious population, the number of symptomatic cases would have been much less. Therefore, the current progress of the symptomatic infection can be reduced by quarantining the asymptomatically infectious population via extensive or random testing. This study is motivated strictly towards academic pursuit; this theoretical investigation is not meant for influencing policy decisions or public health practices.

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