22 hasil untuk "Jane Heffernan"
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Artikel Jurnal Teks lengkap
Influenza pandemic waves under various mitigation strategies with 2009 H1N1 as a case study.
A significant feature of influenza pandemics is multiple waves of morbidity and mortality over a few months or years. The size of these successive waves depends on intervention strategies including antivirals and vaccination, as well as the effects of immunity gained from previous infection…
Juga tersedia di: PLOS
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Stochastic dynamics in a delayed epidemic system with Markovian switching and media coverage
Abstract A stochastic SIR system with Lévy jumps and distributed delay is developed and employed to study the combined effects of Markovian switching and media coverage on stochastic epidemiological dynamics and outcomes. Stochastic Lyapunov functions are used to prove the existence of a stationary…
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Analysis of solutions and disease progressions for a within-host Tuberculosis model
Mycobacterium tuberculosis infection can lead to different disease outcomes, we analyze a with-in host tuberculosis infection model considering interactions between macrophages, T lym- phocytes, and tuberculosis bacteria to understand the dynamics of disease progression. Four coexisting equilibria…
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A pair formation model with recovery: Application to mpox
The current global outbreaks of mpox is a unique infectious disease in the way it seems to be transmitting: it has been observed to be highly concentrated in communities of men who have sex with men (MSM) through pair formation, and also provides long lasting immunity. This framework of mostly…
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Examining HIV progression mechanisms via mathematical approaches
The progression of HIV infection to AIDS is unclear and under examined. Many mechanisms have been proposed, including a decline in immune response, increase in replication rate, involution of the thymus, syncytium inducing capacity, activation of the latently infected cell pool, chronic activation…
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Global sensitivity analysis of a single-cell HBV model for viral dynamics in the liver
The predictive accuracy of mathematical models representing anything ranging from the meteorological to the biological system profoundly depends on the quality of model parameters derived from experimental data. Hence, robust sensitivity analysis (SA) of these critical model parameters aids in…
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Mitigating co-circulation of seasonal influenza and COVID-19 pandemic in the presence of vaccination: A mathematical modeling approach
The co-circulation of two respiratory infections with similar symptoms in a population can significantly overburden a healthcare system by slowing the testing and treatment. The persistent emergence of contagious variants of SARS-CoV-2, along with imperfect vaccines and their waning protections…
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Tuberculosis in Canada: Detection, Intervention and Compliance
This paper provides an overview of the current state of TB in Canada by referencing information presented at the workshop, “Tuberculosis: Detection, Prevention, and Compliance.” The workshop took place on November 14 and 15, 2012 in Ottawa. The workshop was organized by the Centre for Disease…
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Artikel Jurnal Teks lengkap
Could a New COVID-19 Mutant Strain Undermine Vaccination Efforts? A Mathematical Modelling Approach for Estimating the Spread of B.1.1.7 Using Ontario, Canada, as a Case Study
Infections represent highly dynamic processes, characterized by evolutionary changes and events that involve both the pathogen and the host. Among infectious agents, viruses, such as Severe Acute Respiratory Syndrome-related Coronavirus type 2 (SARS-CoV-2), the infectious agent responsible for the…
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Estimating the population effectiveness of interventions against COVID-19 in France: A modelling study
Background: Non-pharmaceutical interventions (NPIs) and vaccines have been widely used to manage the COVID-19 pandemic. However, uncertainty persists regarding the effectiveness of these interventions due to data quality issues, methodological challenges, and differing contextual factors. Accurate…
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The race to understand immunopathology in COVID-19: Perspectives on the impact of quantitative approaches to understand within-host interactions
The COVID-19 pandemic has revealed the need for the increased integration of modelling and data analysis to public health, experimental, and clinical studies. Throughout the first two years of the pandemic, there has been a concerted effort to improve our understanding of the within-host immune…
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Artikel Jurnal Teks lengkap
Modelling COVID-19 transmission in a hemodialysis centre using simulation generated contacts matrices
The COVID-19 pandemic has been particularly threatening to patients with end-stage kidney disease (ESKD) on intermittent hemodialysis and their care providers. Hemodialysis patients who receive life-sustaining medical therapy in healthcare settings, face unique challenges as they need to be at a…
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Towards Standardizing a Lexicon of Infectious Disease Modelling Terms
Disease modelling is increasingly being used to evaluate the effect of health intervention strategies, particularly for infectious diseases. However, the utility and application of such models are hampered by the inconsistent use of infectious disease modelling terms between and within disciplines…
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Modeling vaccination and control strategies for outbreaks of monkeypox at gatherings
BackgroundThe monkeypox outbreak in non-endemic countries in recent months has led the World Health Organization (WHO) to declare a public health emergency of international concern (PHEIC). It is thought that festivals, parties, and other gatherings may have contributed to the outbreak.MethodsWe…
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Lack of harmonisation in immunological data: challenges in synthesising data during the COVID-19 pandemic
Summary: The COVID-19 pandemic drove the rapid development of assays to ascertain immune responses, and laboratories were required to adapt to difficult and quickly changing circumstances. While flexibility and innovation were essential, they also introduced heterogeneity in methods, reagents, and…