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Inferring the disruption of rabies circulation in vampire bat populations using a betaherpesvirus-vectored transmissible vaccine

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TLDR
In this paper , the authors used epidemiological models and field-derived viral genomic data to simulate how a future betaherpesvirus-based vaccine might spread and demonstrate its capacity for high vaccine coverage and longterm prevention of rabies outbreaks.
Abstract
Significance Spillover of wildlife viruses causes global health and economic burdens and remains largely unpreventable. Vaccines that disrupt virus transmission within wildlife reservoirs might prevent spillover but face the unresolved challenge of delivering vaccines to remote and reclusive wildlife populations. Exploiting benign viruses as self-spreading vaccines offers a possible solution. A betaherpesvirus found in vampire bats is a potential candidate vector for a transmissible vaccine targeting vampire bat rabies, an important source of rabies in Latin America, but the dynamics of its transmission in natural bat populations remain unknown. Using epidemiological models and field-derived viral genomic data, we simulate how a future betaherpesvirus-based vaccine might spread. We demonstrate its capacity for high vaccine coverage and long-term prevention of rabies outbreaks.

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Journal ArticleDOI

Inferring the disruption of rabies circulation in vampire bat populations using a betaherpesvirus-vectored transmissible vaccine

TL;DR: In this paper , the authors used epidemiological models and field-derived viral genomic data to simulate how a future betaherpesvirus-based vaccine might spread and demonstrate its capacity for high vaccine coverage and longterm prevention of rabies outbreaks.
Journal ArticleDOI

Rabies in a postpandemic world: resilient reservoirs, redoubtable riposte, recurrent roadblocks, and resolute recidivism

TL;DR: For example, the authors in this paper argue that vaccination is a wishful misnomer applied to rabies, particularly post-COVID-19 pandemic, in contrast to smallpox and rinderpest.
References
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Journal ArticleDOI

Population biology of infectious diseases: Part II

TL;DR: Consideration is given to the relation between the ecology and evolution of the transmission processes and the overall dynamics, and to the mechanisms that can produce cyclic patterns, or multiple stable states, in the levels of infection in the host population.
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Solving Differential Equations in R: Package deSolve

TL;DR: Comparisons demonstrate that, if the use of loops is avoided, R code can efficiently integrate problems comprising several thousands of state variables, and the same problem may be solved from 2 to more than 50 times faster by using compiled code compared to an implementation using only R code.
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Inference for nonlinear dynamical systems

TL;DR: This work presents a new method that makes maximum likelihood estimation feasible for partially-observed nonlinear stochastic dynamical systems (also known as state-space models) where this was not previously the case.
Journal ArticleDOI

Some discrete-time SI, SIR, and SIS epidemic models

TL;DR: Single-population and multi-population, discrete-time epidemic models are analyzed and positive feedback from the infective class to the susceptible class allows for more diverse behavior in the discrete model.
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Herpesviruses: latency and reactivation - viral strategies and host response

TL;DR: The review starts by introducing possible viral strategies in general and the particular biology and host relationship of the various human herpesviruses, including their pathology, are examined subsequently.
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