Emerging evidence suggests a resurgence of COVID-19 in the coming years. It is thus critical to optimize emergency response planning from a broad, integrated perspective. We developed a mathematical model incorporating climate-driven variation in community transmissions and movement-modulated spatial diffusions of COVID-19 into various intervention scenarios. We find that an intensive 8-wk intervention targeting the reduction of local transmissibility and international travel is efficient and effective. Practically, we suggest a tiered implementation of this strategy where interventions are first implemented at locations in what we call the Global Intervention Hub, followed by timely interventions in secondary high-risk locations. We argue that thinking globally, categorizing locations in a hub-and-spoke intervention network, and acting locally, applying interventions at high-risk areas, is a functional strategy to avert the tremendous burden that would otherwise be placed on public health and society.

新出现的证据表明 COVID-19 在未来几年会卷土重来。因此，从广泛、综合的角度优化应急响应计划至关重要。我们开发了一个数学模型，将气候驱动的社区传播变化和 COVID-19 的运动调节空间扩散纳入各种干预情景。我们发现，以减少本地传播性和国际旅行为目标的为期 8 周的强化干预是高效且有效的。实际上，我们建议分层实施该策略，首先在我们称为全球干预中心的地点实施干预措施，然后在次要高风险地区及时进行干预。我们认为，在全球范围内思考，在轴辐式干预网络中对位置进行分类，并在当地采取行动，