Sorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
Department of Biology, Georgetown University, Washington, DC, USA.
BMC Infect Dis. 2024 Jan 2;24(1):21. doi: 10.1186/s12879-023-08900-x.
France implemented a combination of non-pharmaceutical interventions (NPIs) to manage the COVID-19 pandemic between September 2020 and June 2021. These included a lockdown in the fall 2020 - the second since the start of the pandemic - to counteract the second wave, followed by a long period of nighttime curfew, and by a third lockdown in the spring 2021 against the Alpha wave. Interventions have so far been evaluated in isolation, neglecting the spatial connectivity between regions through mobility that may impact NPI effectiveness.
Focusing on September 2020-June 2021, we developed a regionally-based epidemic metapopulation model informed by observed mobility fluxes from daily mobile phone data and fitted the model to regional hospital admissions. The model integrated data on vaccination and variants spread. Scenarios were designed to assess the impact of the Alpha variant, characterized by increased transmissibility and risk of hospitalization, of the vaccination campaign and alternative policy decisions.
The spatial model better captured the heterogeneity observed in the regional dynamics, compared to models neglecting inter-regional mobility. The third lockdown was similarly effective to the second lockdown after discounting for immunity, Alpha, and seasonality (51% vs 52% median regional reduction in the reproductive number R, respectively). The 6pm nighttime curfew with bars and restaurants closed, implemented in January 2021, substantially reduced COVID-19 transmission. It initially led to 49% median regional reduction of R, decreasing to 43% reduction by March 2021. In absence of vaccination, implemented interventions would have been insufficient against the Alpha wave. Counterfactual scenarios proposing a sequence of lockdowns in a stop-and-go fashion would have reduced hospitalizations and restriction days for low enough thresholds triggering and lifting restrictions.
Spatial connectivity induced by mobility impacted the effectiveness of interventions especially in regions with higher mobility rates. Early evening curfew with gastronomy sector closed allowed authorities to delay the third wave. Stop-and-go lockdowns could have substantially lowered both healthcare and societal burdens if implemented early enough, compared to the observed application of lockdown-curfew-lockdown, but likely at the expense of several labor sectors. These findings contribute to characterize the effectiveness of implemented strategies and improve pandemic preparedness.
法国在 2020 年 9 月至 2021 年 6 月期间实施了一系列非药物干预措施(NPIs)来管理 COVID-19 大流行。这些措施包括 2020 年秋季的第二次封锁——这是大流行开始以来的第二次——以应对第二波疫情,随后是长时间的夜间宵禁,以及 2021 年春季针对 Alpha 波的第三次封锁。迄今为止,这些干预措施都是单独评估的,忽略了通过移动性产生的区域间空间连接,而这种连接可能会影响 NPI 的有效性。
我们专注于 2020 年 9 月至 2021 年 6 月期间,根据每日手机数据中观察到的移动通量,开发了一个基于区域的传染病元种群模型,并根据该模型拟合了区域医院入院人数。该模型整合了疫苗接种和变体传播的数据。设计了情景来评估 Alpha 变体的影响,该变体的传染性和住院风险增加,以及疫苗接种运动和替代政策决策的影响。
与忽略区域间流动性的模型相比,空间模型更好地捕捉了区域动态的异质性。在考虑到免疫、Alpha 和季节性因素后,第三次封锁与第二次封锁的效果相似(分别为 51%和 52%的中位数区域内繁殖数 R 降低)。2021 年 1 月实施的晚上 6 点宵禁,酒吧和餐馆关闭,大大减少了 COVID-19 的传播。它最初导致区域 R 的中位数减少了 49%,到 2021 年 3 月减少到 43%。如果没有疫苗接种,实施的干预措施将不足以应对 Alpha 波。提出以停停走走方式实施封锁的反事实情景将减少住院人数和限制天数,从而降低触发和取消限制的阈值。
移动性引起的空间连接影响了干预措施的有效性,特别是在流动性较高的地区。傍晚宵禁,关闭餐饮部门,使当局能够推迟第三波疫情。如果及早实施停停走走式的封锁,与观察到的封锁-宵禁-封锁的应用相比,可能会大大降低医疗保健和社会负担,但可能会以牺牲一些劳动部门为代价。这些发现有助于描述实施策略的有效性,并为大流行做好准备。