智能系统学报
智能繫統學報
지능계통학보
CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS
2013年
2期
128-134
,共7页
赵敬%夏承遗%孙世温%王莉
趙敬%夏承遺%孫世溫%王莉
조경%하승유%손세온%왕리
感染延迟%非均匀传播%临界值%复杂网络%SIR 模型
感染延遲%非均勻傳播%臨界值%複雜網絡%SIR 模型
감염연지%비균균전파%림계치%복잡망락%SIR 모형
infection delay%nonuniform transmission%critical threshold%complex networks%SIR model
为了能更有效地分析和理解传染性疾病的传播,提出了一个新颖的 SIR 模型,在这个传播模型里同时考虑了影响疾病传播行为的2个因素:感染延迟和非均匀传播。基于平均场理论和大量的数值仿真,给出了疾病传播临界值的解析公式,并发现感染延迟和非均匀传播对临界值影响截然不同:感染延迟能够在很大程度上减小传播阈值,促进疾病在人群中的传播;而非均匀传播能够增大传播临界值,阻碍疾病的大规模传播。当前的研究结果有助于深入理解真实复杂系统中的疾病传播行为,充分考虑感染延迟、传播机制和实际人群的拓扑结构等因素在疾病传播中的作用,从而为制定有效的传染病预防和控制措施提供理论依据。
為瞭能更有效地分析和理解傳染性疾病的傳播,提齣瞭一箇新穎的 SIR 模型,在這箇傳播模型裏同時攷慮瞭影響疾病傳播行為的2箇因素:感染延遲和非均勻傳播。基于平均場理論和大量的數值倣真,給齣瞭疾病傳播臨界值的解析公式,併髮現感染延遲和非均勻傳播對臨界值影響截然不同:感染延遲能夠在很大程度上減小傳播閾值,促進疾病在人群中的傳播;而非均勻傳播能夠增大傳播臨界值,阻礙疾病的大規模傳播。噹前的研究結果有助于深入理解真實複雜繫統中的疾病傳播行為,充分攷慮感染延遲、傳播機製和實際人群的拓撲結構等因素在疾病傳播中的作用,從而為製定有效的傳染病預防和控製措施提供理論依據。
위료능경유효지분석화리해전염성질병적전파,제출료일개신영적 SIR 모형,재저개전파모형리동시고필료영향질병전파행위적2개인소:감염연지화비균균전파。기우평균장이론화대량적수치방진,급출료질병전파림계치적해석공식,병발현감염연지화비균균전파대림계치영향절연불동:감염연지능구재흔대정도상감소전파역치,촉진질병재인군중적전파;이비균균전파능구증대전파림계치,조애질병적대규모전파。당전적연구결과유조우심입리해진실복잡계통중적질병전파행위,충분고필감염연지、전파궤제화실제인군적탁복결구등인소재질병전파중적작용,종이위제정유효적전염병예방화공제조시제공이론의거。
In order to analyze and understand the spreading behavior of infectious diseases , the authors propose to examine susceptible-infected-removed (SIR) model.The researchers simultaneously introduce into the epidemic model the two factors: influencing disease spreading behavior , and infection delay and nonuniform transmission , u-tilizing the SIR model.Based on the mean-field approximation and large-scale numerical simulations, the analytical results of critical thresholds of disease spreading were derived , along with the infection delay and the nonuniform transmission having a distinct impact on the critical threshold .The infection delay can greatly decrease the critical threshold and facilitate the spread of epidemics , while the nonuniform transmission can augment the critical thresh -old and hinder the epidemic spreading in complex networks .Current results are conducive to further understand the epidemic spreading inside the complex real systems , as well as to fully consider the roles of infection delay , trans-mission factors and topological structure of population in the spreading of diseases .The results also provide a num-ber of theoretical evidence to design more effective epidemic prevention and containment measures .