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pro vyhledávání: '"Julien Flaig"'
Autor:
Julien Flaig, Nicolas Houy
BackgroundThe spread of infectious diseases can be modeled using deterministic models assuming a continuous population or stochastic models assuming a discrete population. A stochastic model can be approximated by its deterministic counterpart under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9142b710ba380ec1cdcf799264a75f87
https://doi.org/10.1101/2022.11.12.22282246
https://doi.org/10.1101/2022.11.12.22282246
Autor:
Nicolas Houy, Julien Flaig
BackgroundRecent epidemics and measures taken to control them – through vaccination or other actions – have highlighted the role and importance of uncertainty in public health. There is generally a trade-off between information collection and oth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff8efb38c2f11839ae33e6911bc7b24c
https://doi.org/10.1101/2022.03.28.22273039
https://doi.org/10.1101/2022.03.28.22273039
Autor:
Julien Flaig, Nicolas Houy
Publikováno v:
Mathematical Medicine and Biology
Mathematical Medicine and Biology, 2020, 37 (3), pp.334-350. ⟨10.1093/imammb/dqz015⟩
Mathematical Medicine and Biology, Oxford University Press (OUP), 2020, 37 (3), pp.334-350. ⟨10.1093/imammb/dqz015⟩
Mathematical Medicine and Biology, 2020, 37 (3), pp.334-350. ⟨10.1093/imammb/dqz015⟩
Mathematical Medicine and Biology, Oxford University Press (OUP), 2020, 37 (3), pp.334-350. ⟨10.1093/imammb/dqz015⟩
We argue that a proper distinction must be made between informed and uninformed decision making when setting empirical therapy policies, as this allows one to estimate the value of gathering more information about the pathogens and their transmission
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8efecbbf8378b03bfd45cfcaf840d618
https://shs.hal.science/halshs-02386483
https://shs.hal.science/halshs-02386483
Autor:
Nicolas Houy, Julien Flaig
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, 2021, 204, pp.106050. ⟨10.1016/j.cmpb.2021.106050⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 204, pp.106050. ⟨10.1016/j.cmpb.2021.106050⟩
Computer Methods and Programs in Biomedicine, 2021, 204, pp.106050. ⟨10.1016/j.cmpb.2021.106050⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 204, pp.106050. ⟨10.1016/j.cmpb.2021.106050⟩
International audience; Background and objectives. We present a heuristic solution method to the problem of choosing hospital-wide antimicrobial treatments that minimize the cumulative infected patient-days in the long run in a health care facility.M
Autor:
Nicolas Houy, Julien Flaig
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 198, pp.105767. ⟨10.1016/j.cmpb.2020.105767⟩
Computer Methods and Programs in Biomedicine, 2021, 198, pp.105767. ⟨10.1016/j.cmpb.2020.105767⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2021, 198, pp.105767. ⟨10.1016/j.cmpb.2020.105767⟩
Computer Methods and Programs in Biomedicine, 2021, 198, pp.105767. ⟨10.1016/j.cmpb.2020.105767⟩
Background and objectives: Empirical antimicrobial prescription strategies have been proposed to counteract the selection of resistant pathogenic strains. The respective merits of such strategies have been debated. Rather than comparing a finite numb
Autor:
Julien Flaig, Nicolas Houy
We propose a solution to the problem of finding an empirical therapy policy in a health care facility that minimizes the cumulative infected patient-days over a given time horizon. We assume that the parameters of the model are known and that when th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d94c74020c7ded9c1cadcade36f30bcb
https://doi.org/10.1101/603464
https://doi.org/10.1101/603464
Publikováno v:
Journal of Theoretical Biology
Journal of Theoretical Biology, Elsevier, 2020, 485, pp.110028. ⟨10.1016/j.jtbi.2019.110028⟩
Journal of Theoretical Biology, 2020, 485, pp.110028. ⟨10.1016/j.jtbi.2019.110028⟩
Journal of Theoretical Biology, Elsevier, 2020, 485, pp.110028. ⟨10.1016/j.jtbi.2019.110028⟩
Journal of Theoretical Biology, 2020, 485, pp.110028. ⟨10.1016/j.jtbi.2019.110028⟩
In a vaccination game, individuals respond to an epidemic by engaging in preventive behaviors that, in turn, influence the course of the epidemic. Such feedback loops need to be considered in the cost effectiveness evaluations of public health polici
Publikováno v:
Journal of Theoretical Biology
Journal of Theoretical Biology, Elsevier, 2018, 436, pp. 26-38. ⟨10.1016/j.jtbi.2017.09.023⟩
Journal of Theoretical Biology, 2018, 436, pp. 26-38. ⟨10.1016/j.jtbi.2017.09.023⟩
Journal of Theoretical Biology, Elsevier, 2018, 436, pp. 26-38. ⟨10.1016/j.jtbi.2017.09.023⟩
Journal of Theoretical Biology, 2018, 436, pp. 26-38. ⟨10.1016/j.jtbi.2017.09.023⟩
Vaccination is one of humanity's main tools to fight epidemics. In most countries and for most diseases, vaccination is offered on a voluntary basis. Hence, the spread of a disease can be described as two interacting opposite dynamic systems: contagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85aebc77b00c42e84b4b6f631eb9f77b
https://hal.archives-ouvertes.fr/hal-01612966
https://hal.archives-ouvertes.fr/hal-01612966
Autor:
Julien Flaig, Nicolas Houy
Publikováno v:
Physica A: Statistical Mechanics and its Applications
Physica A: Statistical Mechanics and its Applications, Elsevier, 2019, 527, pp.121298. ⟨10.1016/j.physa.2019.121298⟩
Physica A: Statistical Mechanics and its Applications, 2019, 527, pp.121298. ⟨10.1016/j.physa.2019.121298⟩
Physica A: Statistical Mechanics and its Applications, Elsevier, 2019, 527, pp.121298. ⟨10.1016/j.physa.2019.121298⟩
Physica A: Statistical Mechanics and its Applications, 2019, 527, pp.121298. ⟨10.1016/j.physa.2019.121298⟩
In Schelling’s segregation model (Schelling, 1971), the successive moves of agents optimizing their own locations lead to a suboptimal segregated distribution of the population, even though all agents have the same preference for mixed neighborhood