在流行病爆發期間,於接近群體免疫臨界值時實施暫時隔離措施,可在最大程度地減少對社會和經濟影響的同時,有效地控制疫情規模。
본 논문에서는 단기 격리 조치의 효과를 극대화하기 위해 최적의 격리 시작 시점을 SIR 모델을 사용하여 다양한 네트워크 구조에서 분석합니다.
一時的な隔離措置を講じる最適なタイミングは、集団免疫閾値に到達する直前であり、これにより、流行の遅延と自然免疫の獲得のバランスを取り、最終的な感染規模を最小限に抑えることができます。
Initiating a temporary quarantine just before the herd immunity threshold is reached minimizes the final outbreak size in various network structures, balancing delayed infection with natural immunity development.
Dynamically adjusting persuasive messaging based on real-time infection levels can be more effective in minimizing the spread of SIS epidemics than using a static message, even if that static message is optimized for the long-term.
年齢構造化SIRDモデルを用いて、感染者数のピークを抑制するための観測ベースの出力フィードバック制御則を設計し、その有効性をシミュレーションで示した。
This research paper proposes an observer-based output feedback control strategy, representing vaccination, to reduce the peak of infected individuals in an age-structured SIRD epidemic model.
Incorporating risk-averse behavioral responses, where populations reduce contact rates based on perceived infection risk, can effectively lower infection levels in networked populations, especially when communication about infection levels is prevalent.