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NICOV:用于分析营养状况和免疫对 COVID-19 影响的模型。

NICOV : a model to analyse impact of nutritional status and immunity on COVID-19.

机构信息

Department of Computer Science and Engineering, National Institute of Technology Silchar, Cachar, Assam, 788010, Silchar, India.

出版信息

Med Biol Eng Comput. 2022 May;60(5):1481-1496. doi: 10.1007/s11517-022-02545-9. Epub 2022 Mar 25.

Abstract

A few months back there was no medication and vaccine for COVID-19. Yet, most of the infected people got recovered. A very small portion of the infected people could not recover. A lion's share of the fatal cases were the patients suffering from some kind of chronic critical diseases. Due to that, their nutritional status and immunity were not normal. In this study, we have proposed a model called NICOV (Nutritional status, Immunity and COVID) that establishes the relationship among nutritional status, immunity, and COVID-19. This model formulates the relations considering all possible states of nutritional status and immunity of the body. We have numerically simulated the model for four different sets of values and found that susceptible, infected, and recovered cases of COVID-19 are significantly related to different states of nutritional status and immunity. It is also evident from numerical simulation that the effect of nutritional status and immunity varies with variation of other parameters associated with the formulation of the model. This model can help the concerned in decision making for mitigation of the losses that arise due to COVID-19-like situations.

摘要

几个月前,还没有针对 COVID-19 的药物和疫苗。然而,大多数感染者都康复了。一小部分感染者无法康复。大多数致命病例是患有某种慢性严重疾病的患者。因此,他们的营养状况和免疫力不正常。在这项研究中,我们提出了一个名为 NICOV(营养状况、免疫力和 COVID)的模型,该模型建立了营养状况、免疫力和 COVID-19 之间的关系。该模型考虑了身体营养状况和免疫力的所有可能状态来制定这些关系。我们对模型进行了四组不同值的数值模拟,发现 COVID-19 的易感、感染和康复病例与营养状况和免疫力的不同状态显著相关。数值模拟还表明,营养状况和免疫力的影响随与模型制定相关的其他参数的变化而变化。该模型可以帮助相关人员做出决策,以减轻因 COVID-19 类似情况而造成的损失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c06c/8948047/1e8dd9667690/11517_2022_2545_Fig1_HTML.jpg

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