Evidence map›Paper›PMID 39525554›Full record

ArticlePNAS nexus2024

Routes of importation and spatial dynamics of SARS-CoV-2 variants during localized interventions in Chile.

Bernardo Gutierrez, Joseph L-H Tsui, Giulia Pullano, Mattia Mazzoli, Karthik Gangavarapu, Rhys P D Inward, Sumali Bajaj, Rosario Evans Pena, Simon Busch-Moreno, Marc A Suchard and 9 more

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

19 authors.

Bernardo GutierrezDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID https://orcid.org/0000-0002-9220-2739
Joseph L-H TsuiDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID https://orcid.org/0000-0001-7871-8627
Giulia PullanoDepartment of Biology, Georgetown University, Washington, DC 20057, USA.ORCID https://orcid.org/0000-0001-9980-0734
Mattia MazzoliINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, 75012 Paris, France.ORCID https://orcid.org/0000-0002-8756-5535
Karthik GangavarapuDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA.
Rhys P D InwardDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID https://orcid.org/0000-0003-0016-661X
Sumali BajajDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.
Rosario Evans PenaDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.
Simon Busch-MorenoDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.
Marc A SuchardDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID https://orcid.org/0000-0001-9818-479X
Oliver G PybusDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID https://orcid.org/0000-0002-8797-2667
Alejandra DunnerInstituto de Salud Pública de Chile, 7780050 Santiago, Chile.
Rodrigo PuentesInstituto de Salud Pública de Chile, 7780050 Santiago, Chile.ORCID https://orcid.org/0000-0001-8607-2467
Salvador AyalaInstituto de Salud Pública de Chile, 7780050 Santiago, Chile.
Jorge FernandezInstituto de Salud Pública de Chile, 7780050 Santiago, Chile.ORCID https://orcid.org/0000-0002-5792-0719
Rafael AraosFacultad de Medicina Clínica Alemana, Instituto de Ciencias e Innovación en Medicina (ICIM), Universidad del Desarrollo, 7610671 Santiago, Chile.
Leo FerresISI Foundation, 10126 Turin, Italy.ORCID https://orcid.org/0000-0002-5899-9051
Vittoria ColizzaINSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, IPLESP, 75012 Paris, France.ORCID https://orcid.org/0000-0002-2113-2374
Moritz U G KraemerDepartment of Biology, University of Oxford, Oxford OX1 3SZ, United Kingdom.ORCID https://orcid.org/0000-0001-8838-7147

Funding

Wellcome Trust
6 · The paper itself

Abstract

Human mobility is strongly associated with the spread of SARS-CoV-2 via air travel on an international scale and with population mixing and the number of people moving between locations on a local scale. However, these conclusions are drawn mostly from observations in the context of the global north where international and domestic connectivity is heavily influenced by the air travel network; scenarios where land-based mobility can also dominate viral spread remain understudied. Furthermore, research on the effects of nonpharmaceutical interventions (NPIs) has mostly focused on national- or regional-scale implementations, leaving gaps in our understanding of the potential benefits of implementing NPIs at higher granularity. Here, we use Chile as a model to explore the role of human mobility on disease spread within the global south; the country implemented a systematic genomic surveillance program and NPIs at a very high spatial granularity. We combine viral genomic data, anonymized human mobility data from mobile phones and official records of international travelers entering the country to characterize the routes of importation of different variants, the relative contributions of airport and land border importations, and the real-time impact of the country's mobility network on the diffusion of SARS-CoV-2. The introduction of variants which are dominant in neighboring countries (and not detected through airport genomic surveillance) is predicted by land border crossings and not by air travelers, and the strength of connectivity between

Indexed as

genomic epidemiologyspatial invasionviral importations

Identifiers

PMID39525554
PMCPMC11547135

What OpenQuestion holds

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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.