ArticleMedical & biological engineering & computing2022
NICOV : a model to analyse impact of nutritional status and immunity on COVID-19.
Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Modeling the dynamics of human starvation: incorporating lessons from famines past and present.Journal of public health policy · 2026Review
- Development and external validation of a prediction model for major adverse kidney events within 30 days in sepsis associated acute kidney injury: a multi-center retrospective clinical study.BMC medical informatics and decision making · 2026Article
- Computational design of a novel multi-epitope vaccine candidate against group A rotavirus.Virology journal · 2026Article
- A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery.Health information science and systems · 2024Article
- Nutritional risk and a high NRS2002 score are closely related to disease progression and poor prognosis in patients with COVID-19.Frontiers in nutrition · 2023Article
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Authors and funding
2 authors.
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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.
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