Critical assessment of the impact of vaccine-type and immunity on the burden of COVID-19

Taboe, Hémaho B.; Asare-Baah, Michael; Iboi, Enahoro; Ngonghala, Calistus N.

doi:10.1016/j.mbs.2023.108981

Cited by 7 publications

(3 citation statements)

References 50 publications

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“…Natural immunity to COVID-19 infection is determined by the persistence and functionality of immune memory cells and antibodies that are generated after primary infection. The duration of natural immunity can vary depending on several factors, such as the severity and duration of infection, the viral load and variant, the age and health status of the individual, and the exposure to subsequent infections or vaccines 111 .…”

Section: Discussion and Future Perspectivesmentioning

confidence: 99%

A comprehensive perspective on the interaction between gut microbiota and COVID-19 vaccines

Hong

Lan

et al. 2023

Gut Microbes

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The efficacy of COVID-19 vaccines varies between individuals and populations, and the reasons for this are still not fully understood. Recent clinical studies and animal models have indicated that the gut microbiota may influence the immunogenicity of the vaccine and, thus, its effectiveness. This suggests that there is a bidirectional relationship between the gut microbiota and the COVID-19 vaccine, with the varying components of the microbiota either enhancing or reducing the vaccine’s efficacy. To put an end to the spread of the COVID-19 pandemic, the necessity of vaccines that create powerful and long-term immunity is now more important than ever, and understanding the role of the gut microbiota in this process is essential. Conversely, COVID-19 vaccines also have a significant effect on the gut microbiota, decreasing its total number of organisms and the variety of species present. In this Review, we analyze the evidence that suggesting an interaction between the gut microbiota and COVID-19 vaccine effectiveness, consider the immunological mechanisms that may be responsible for this connection, and explore the possibility of using gut microbiota-focused interventions to improve the efficacy of COVID-19 vaccines.

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Section: Discussion and Future Perspectivesmentioning

confidence: 99%

A comprehensive perspective on the interaction between gut microbiota and COVID-19 vaccines

Hong

Lan

et al. 2023

Gut Microbes

View full text Add to dashboard Cite

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“…Correspondingly, most reviewed mathematical models assume that only susceptible individuals can be initially vaccinated. Some ODE-based studies with more compartments (see e.g., Islam et al (2021); Karabay et al (2021); Taboe et al (2023); Luo et al (2022); Anupong et al (2023); Grundel et al (2021)) allow for vaccination of any individuals without known COVID-19 history. That means preor asymptomatically infected as well as recovered individuals without known history of infections (e.g., through positive test results or symptoms) are also eligible for early vaccination, leading to some vaccine doses being used sub-optimally.…”

Section: Key Implementation Details In Vaccine Prioritization Modelsmentioning

confidence: 99%

Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models

Gonzalez-Parra,

Mahmud,

Kadelka

2024

Preprint

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As the world becomes ever more connected, the chance of pandemics increases as well. The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides an ideal setting to learn from and refine our understanding of infectious disease models for better future preparedness. In this review, we systematically analyze and categorize mathematical models that have been developed to design optimal vaccine prioritization strategies of an initially limited vaccine. As older individuals are disproportionately affected by COVID-19, the focus is on models that take age explicitly into account. The lower mobility and activity level of older individuals gives rise to non-trivial trade-offs. Secondary research questions concern the optimal time interval between vaccine doses and spatial vaccine distribution. This review showcases the effect of various modeling assumptions on model outcomes. A solid understanding of these relationships yields better infectious disease models and thus public health decisions during the next pandemic.

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“…Mathematical epidemiology plays a crucial role in describing and modeling the transmission dynamics of epidemics, providing valuable guidance for policymakers, a fact acknowledged by the World Health Organization (WHO) ( Egger et al., 2017 ). COVID-19, as a classical example of an emerging infectious disease, has garnered global attention, and the numerous studies employ mathematical models to investigate various control strategies ( Hao et al., 2020 ; Maier & Brockmann, 2020 ; Taboe et al., 2023 ; Tang, Wang, et al., 2020 ; Wu et al., 2020 ). Wu et al.…”

Section: Introductionmentioning

confidence: 99%

Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model

Liu,

Wang,

Liu

et al. 2024

Infectious Disease Modelling

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Critical assessment of the impact of vaccine-type and immunity on the burden of COVID-19

Cited by 7 publications

References 50 publications

A comprehensive perspective on the interaction between gut microbiota and COVID-19 vaccines

A comprehensive perspective on the interaction between gut microbiota and COVID-19 vaccines

Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models

Valuation and comparison of the actual and optimal control strategy in an emerging infectious disease: Implication from a COVID-19 transmission model

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