SUSCEPTIBLE

作品数：203被引量：366H指数：8
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相关机构：安徽省农业科学院北京师范大学东南大学浙江大学更多>>
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An application of small-world network on predicting the behavior of infectious disease on campus
《Infectious Disease Modelling》2024年第1期177-184,共8页Guojin Wang Wei Yao 
funded by National Natural Science Foundation of China(grant number:12172092);Shanghai Key Laboratory of Acupuncture Mechanism and Acupoint Function(grant number:21DZ2271800)。
Networks haven been widely used to understand the spread of infectious disease.This study examines the properties of small-world networks in modeling infectious disease on campus.Two different small-world models are d...
关键词：Small-world network Complex networks Infectious disease on campus Susceptible-infected model Numerical simulation Shared nodes between networks 
A generalized ODE susceptible-infectious-susceptible compartmental model with potentially periodic behavior
《Infectious Disease Modelling》2023年第4期1190-1202,共13页Scott Greenhalgh Anna Dumas 
supported by the National Science Foundation Grant DMS-2052592.
Differential equation compartmental models are crucial tools for forecasting and analyzing disease trajectories.Among these models,those dealing with only susceptible and infectious individuals are particularly useful...
关键词：Infectious period Duration of infection GONORRHEA Integral equations Differential equations 
A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data
《Infectious Disease Modelling》2023年第2期471-483,共13页Georges Bucyibaruta C.B.Dean Mahmoud Torabi 
supported by the Natural Sciences and Engineering Research Council of Canada(NSERC);the Canadian Statistical Sciences Institute-Collaborative Research Teams(CANSSI-CRT)grants.
We develop a discrete time compartmental model to describe the spread of seasonal influenza virus.As time and disease state variables are assumed to be discrete,this model is considered to be a discrete time,stochasti...
关键词：Discrete-time epidemic model Infectious diseases Influx process Non-linear stochastic dynamics Seasonal influenza SIRS model Transmission parameter 
Evaluations of COVID-19 epidemic models with multiple susceptible compartments using exponential and non-exponential distribution for disease stages被引量：1
《Infectious Disease Modelling》2022年第4期795-810,共16页Yan Chen Haitao Song Shengqiang Liu 
supported by the National Natural Science Foundation of China(12271401,11871179,11771128,12171291);the Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province(20200001);the Fundamental Research Program of Shanxi Province(202103021224018).
Mathematical models have wide applications in studying COVID-19 epidemic transmission dynamics,however,most mathematical models do not take into account the heterogeneity of susceptible populations and the non-exponen...
关键词：Mathematical models COVID-19 Exponential distribution Gamma distribution Peak time 
Qualitative analysis of a stochastic SEITR epidemic model with multiple stages of infection and treatment被引量：2
《Infectious Disease Modelling》2020年第1期61-90,共30页Olusegun Michael Otunuga Mobolaji O.Ogunsolu 
We present a mathematical analysis of the transmission of certain diseases using a stochastic susceptible-exposed-infectious-treated-recovered(SEITR)model with multiple stages of infection and treatment and explore th...
关键词：SUSCEPTIBLE INFECTION Treatment Recovery Stochastic epidemic model Stability Reproduction number 
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