1,721,020 research outputs found
Behavioural Epidemiology of infectious diseases: going beyond its limits: why not?
The spread and control of current Covid19 pandemic are much better modellable and
understandable by adopting the paradigm of the behavioral epidemiology of infectious
diseases (BEID): social distancing; public health authorities interventions, acceptance of
the forthcoming vaccines, rational vs irrational behaviors, negationism etc [1, 2, 3, 4, 5, 6].
However, even BEID has learned a lot from what we know of current pandemic [7].
The first and main lesson we have learnt is that we must go well beyond the current limits
of BEID. Namely (non exhaustive list!!!)
Tiered social distancing policies and epidemic control
Tiered social distancing policies have been adopted by many governments to mitigate the harmful consequences of COVID-19. Such policies have a number of well-established features, i.e. they are short-term, adaptive (to the changing epidemiological conditions), and based on a multiplicity of indicators of the prevailing epidemic activity. Here, we use ideas from Behavioural Epidemiology to represent tiered policies in an SEIRS model by using a composite information index including multiple indicators of current and past epidemic activity mimicking those used by governments during the COVID-19 pandemic, such as transmission intensity, infection incidence and hospitals' occupancy. In its turn, the dynamics of the information index is assumed to endogenously inform the governmental social distancing interventions. The resulting model is described by a hereditary system showing a noteworthy property, i.e. a dependency of the endemic levels of epidemiological variables from initial conditions. This is a consequence of the need to normalize the different indicators to pool them into a single index. Simulations suggest a rich spectrum of possible results. These include policy suggestions and identify pitfalls and undesired outcomes, such as a worsening of epidemic control, that can arise following such types of approaches to epidemic responses
Bounded-Real Lemma for 2-D Systems. Application to the Analysis of Delay-Independent H ∞ Performance of Delay Systems
From Lyapunov-Krasovskii Functionals for Delay-Independent Stability to LMI Conditions for µ-Analysis
Extension of Popov criterion to time-varying nonlinearities: LMI, frequential and graphical conditions
Solvability of a Lyapunov equation for characterization of asymptotic stability of linear delay systems
Lyapunov-Krasovskii method and strong delay-independent stability of linear delay systems
- …
