Multiple peaks in network SIR epidemic models

التفاصيل البيبلوغرافية
العنوان: Multiple peaks in network SIR epidemic models
المؤلفون: Alutto, Martina, Cianfanelli, Leonardo, Como, Giacomo, Fagnani, Fabio
المصدر: Proceedings of the IEEE Conference on Decision and Control; 2022-December, pp 5614-5619 (2022) ; ISSN: 2576-2370 ; ISSN: 0743-1546
بيانات النشر: IEEE - Institute of Electrical and Electronics Engineers Inc.
سنة النشر: 2022
المجموعة: Lund University Publications (LUP)
مصطلحات موضوعية: Probability Theory and Statistics, Epidemic models, reproduction number, Susceptible-Infected-Recovered model
الوصف: We study network SIR (Susceptible - Infected - Recovered) epidemic models in the case of two interacting populations. We analyze the dynamics behavior of the fractions of infected individuals in the two populations. In contrast to the classical scalar SIR epidemic model, where the fraction of infected individuals is known to have an unimodal behavior (either decreasing throughout time or initially increasing, until reaching a peak and decreasing everafter), we show the possible occurrence of a novel multimodal behaviors in the network SIR model. Specifically, we show that the curve of the fraction of infected individuals in a population may incur in a change of monotonicity even when it starts with a decreasing trend. Our analysis focuses on a homogeneous mixing model, whereby all contacts have unitary frequency. We study the initial conditions and network characteristics sufficient for the aforementioned multimodal behavior to emerge and those that instead guarantee the classical unimodal behavior.
نوع الوثيقة: book part
conference object
اللغة: English
ردمك: 978-1-66546-761-2
1-66546-761-4
العلاقة: https://lup.lub.lu.se/record/0d771736-b702-456f-b4b4-4ecca73986b4Test; http://dx.doi.org/10.1109/CDC51059.2022.9992408Test; scopus:85147016007
DOI: 10.1109/CDC51059.2022.9992408
الإتاحة: https://doi.org/10.1109/CDC51059.2022.9992408Test
https://lup.lub.lu.se/record/0d771736-b702-456f-b4b4-4ecca73986b4Test
رقم الانضمام: edsbas.5D323472
قاعدة البيانات: BASE
الوصف
ردمك:9781665467612
1665467614
DOI:10.1109/CDC51059.2022.9992408