Evidence map›Paper›PMID 39148829›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Commuting-driven competition between transmission chains shapes seasonal influenza virus epidemics in the United States.

Simon P J de Jong, Andrew Conlan, Alvin X Han, Colin A Russell

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Simon P J de JongDepartment of Medical Microbiology & Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam; Amsterdam, The Netherlands.ORCID 0009-0004-2613-7408
Andrew ConlanDepartment of Veterinary Medicine, University of Cambridge; Cambridge, United Kingdom.ORCID 0000-0002-2593-6353
Alvin X HanDepartment of Medical Microbiology & Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam; Amsterdam, The Netherlands.ORCID 0000-0001-6281-8498
Colin A RussellDepartment of Medical Microbiology & Infection Prevention, Amsterdam University Medical Centers, University of Amsterdam; Amsterdam, The Netherlands.

Funding

Forecasting influenza epidemics using a mechanistic epidemic modelR01AI132362 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI MANGIONE-SMITH, RITA · 2017 to 2020
$1.0M
NIAID NIH HHS R01 AI132362
6 · The paper itself

Abstract

Despite intensive study, much remains unknown about the dynamics of seasonal influenza virus epidemic establishment and spread in the United States (US) each season. By reconstructing transmission lineages from seasonal influenza virus genomes collected in the US from 2014 to 2023, we show that most epidemics consisted of multiple distinct transmission lineages. Spread of these lineages exhibited strong spatiotemporal hierarchies and lineage size was correlated with timing of lineage establishment in the US. Mechanistic epidemic simulations suggest that mobility-driven competition between lineages determined the extent of individual lineages' geographical spread. Based on phylogeographic analyses and epidemic simulations, lineage-specific movement patterns were dominated by human commuting behavior. These results suggest that given the locations of early-season epidemic sparks, the topology of inter-state human mobility yields repeatable patterns of which influenza viruses will circulate where, but the importance of short-term processes limits predictability of regional and national epidemics.

Identifiers

PMID39148829
PMCPMC11326338

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.