Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Di Lauro, Francesco"'
Autor:
Blenkinsop, Alexandra, Sofocleous, Lysandros, Di Lauro, Francesco, Kostaki, Evangelia Georgia, van Sighem, Ard, Bezemer, Daniela, van de Laar, Thijs, Reiss, Peter, de Bree, Godelieve, Pantazis, Nikos, Ratmann, Oliver
In stopping the spread of infectious diseases, pathogen genomic data can be used to reconstruct transmission events and characterize population-level sources of infection. Most approaches for identifying transmission pairs do not account for the time
Externí odkaz:
http://arxiv.org/abs/2304.06353
Autor:
Di Lauro, Francesco, KhudaBukhsh, Wasiur R., Kiss, Istvan Z., Kenah, Eben, Jensen, Max, Rempala, Grzegorz A.
We present a new method for analyzing stochastic epidemic models under minimal assumptions. The method, dubbed DSA, is based on a simple yet powerful observation, namely that population-level mean-field trajectories described by a system of PDE may a
Externí odkaz:
http://arxiv.org/abs/2202.09948
We predict the future course of ongoing susceptible-infected-susceptible (SIS) epidemics on regular, Erd\H{o}s-R\'{e}nyi and Barab\'asi-Albert networks. It is known that the contact network influences the spread of an epidemic within a population. Th
Externí odkaz:
http://arxiv.org/abs/2111.05369
When an epidemic spreads into a population, it is often unpractical or impossible to have a continuous monitoring of all subjects involved. As an alternative, algorithmic solutions can be used to infer the state of the whole population from a limited
Externí odkaz:
http://arxiv.org/abs/2105.05060
Autor:
Bell, James, Bianconi, Ginestra, Butler, David, Crowcroft, Jon, Davies, Paul C. W, Hicks, Chris, Kim, Hyunju, Kiss, Istvan Z., Di Lauro, Francesco, Maple, Carsten, Paul, Ayan, Prokopenko, Mikhail, Tee, Philip, Walker, Sara I.
On May $28^{th}$ and $29^{th}$, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists with an interest in Network Science and Epidemiology to attempt to infor
Externí odkaz:
http://arxiv.org/abs/2009.12968
Many of the control policies that were put into place during the Covid-19 pandemic had a common goal: to flatten the curve of the number of infected people so that its peak remains under a critical threshold. This letter considers the challenge of en
Externí odkaz:
http://arxiv.org/abs/2008.05245
The contact structure of a population plays an important role in transmission of infection. Many ``structured models'' capture aspects of the contact structure through an underlying network or a mixing matrix. An important observation in such models,
Externí odkaz:
http://arxiv.org/abs/2007.06975
Stochastic epidemic models on networks are inherently high-dimensional and the resulting exact models are intractable numerically even for modest network sizes. Mean-field models provide an alternative but can only capture average quantities, thus of
Externí odkaz:
http://arxiv.org/abs/2007.01043
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Akademický článek
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