Academic Journal

Five challenges for stochastic epidemic models involving global transmission

التفاصيل البيبلوغرافية
العنوان: Five challenges for stochastic epidemic models involving global transmission
المؤلفون: Tom Britton, Thomas House, Alun L. Lloyd, Denis Mollison, Steven Riley, Pieter Trapman
المصدر: Epidemics, Vol 10, Iss C, Pp 54-57 (2015)
بيانات النشر: Elsevier, 2015.
سنة النشر: 2015
المجموعة: LCC:Infectious and parasitic diseases
مصطلحات موضوعية: Stochastic epidemics, Global transmission, Extinction, Genetic evolution, Endemicity, Infectious and parasitic diseases, RC109-216
الوصف: The most basic stochastic epidemic models are those involving global transmission, meaning that infection rates depend only on the type and state of the individuals involved, and not on their location in the population. Simple as they are, there are still several open problems for such models. For example, when will such an epidemic go extinct and with what probability (questions depending on the population being fixed, changing or growing)? How can a model be defined explaining the sometimes observed scenario of frequent mid-sized epidemic outbreaks? How can evolution of the infectious agent transmission rates be modelled and fitted to data in a robust way?
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1755-4365
1878-0067
Relation: http://www.sciencedirect.com/science/article/pii/S1755436514000280; https://doaj.org/toc/1755-4365; https://doaj.org/toc/1878-0067
DOI: 10.1016/j.epidem.2014.05.002
URL الوصول: https://doaj.org/article/60d06dfbba384f42b9c8647f04ad6cc2
رقم الانضمام: edsdoj.60d06dfbba384f42b9c8647f04ad6cc2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17554365
18780067
DOI:10.1016/j.epidem.2014.05.002