Evidence map›Paper›PMID 38166649›Full record

ArticleBMC infectious diseases2024

The impact of spatial connectivity on NPIs effectiveness.

Chiara E Sabbatini, Giulia Pullano, Laura Di Domenico, Stefania Rubrichi, Shweta Bansal, Vittoria Colizza

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Chiara E SabbatiniSorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
Giulia PullanoDepartment of Biology, Georgetown University, Washington, DC, USA.
Laura Di DomenicoSorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France.
Stefania RubrichiOrange Labs, Sociology and Economics of Networks and Services (SENSE), Chatillon, France.
Shweta BansalDepartment of Biology, Georgetown University, Washington, DC, USA.
Vittoria ColizzaSorbonne Université, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Paris, France. vittoria.colizza@inserm.fr.
Georgetown University · USSorbonne Université · FRInstitut Pierre Louis d‘Épidémiologie et de Santé Publique · FROrange (France) · FR

Funding

ANRS-Maladies Infectieuses Émergentes project EMERGEN ANRS0151DATA- REDUX ANR-19-CE46-0008- 03EU Horizon 2020 grants MOOD H2020-874850Horizon Europe grant ESCAPE 101095619
6 · The paper itself

Abstract

backgroundFrance 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.

methodsFocusing 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.

resultsThe 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

conclusionsSpatial 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.

Indexed as

Cell PhoneCOVID-19FranceHealth FacilitiesHumansPandemicsCOVID-19CurfewModelingNPIsRestrictions

Identifiers

PMID38166649
PMCPMC10763474
OpenAlexW4390500250

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.