کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6369564 1623828 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
How demography-driven evolving networks impact epidemic transmission between communities
ترجمه فارسی عنوان
چگونه شبکه های تحول گرا بر اساس جمعیت شناسی بر انتقال بیماری بین جوامع تأثیر می گذارند
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی
In this paper, we develop a complex network susceptible-infected-susceptible (SIS) model to investigate the impact of demographic factors on disease spreads. We carefully capture the transmission by short-time travelers, by assuming the susceptibles randomly travel to another community, stay for a daily time scale, and return. We calculate the basic reproductive number R0 and analyze the relevant stability of the equilibria (disease-free equilibrium and endemic equilibrium) of the model by applying limiting system theory and comparison principle. The results reveal that the disease-free equilibrium is globally asymptotically stable given R0<1, whereas the condition R0>1 leads to a globally asymptotically stable endemic equilibrium. Our numerical simulations show that demographic factors, such as birth, immigration, and short-time travels, play important roles in epidemic propagation from one community to another. Moreover, we quantitatively demonstrate how the distribution of individual׳s network degree would affect the result of disease transmission.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 382, 7 October 2015, Pages 309-319
نویسندگان
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