Evidence map›Paper›PMID 28187123›Full record

ArticlePLoS computational biology2017

Human mobility and the spatial transmission of influenza in the United States.

Vivek Charu, Scott Zeger, Julia Gog, Ottar N Bjørnstad, Stephen Kissler, Lone Simonsen, Bryan T Grenfell, Cécile Viboud

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing 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

140 citing papers in PubMed.

  1. Article
  2. Article
  3. Characterizing the impact of incorporating spatially aggregated human mobility data into infectious disease models.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026
    Article
  11. VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
  14. Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

80 more citing papers are in PubMed but not listed here.

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

8 authors.

Vivek CharuFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Scott ZegerDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Julia GogFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Ottar N BjørnstadFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Stephen KisslerDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-6000-8387
Lone SimonsenFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Bryan T GrenfellFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Cécile ViboudFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

Seasonal influenza epidemics offer unique opportunities to study the invasion and re-invasion waves of a pathogen in a partially immune population. Detailed patterns of spread remain elusive, however, due to lack of granular disease data. Here we model high-volume city-level medical claims data and human mobility proxies to explore the drivers of influenza spread in the US during 2002-2010. Although the speed and pathways of spread varied across seasons, seven of eight epidemics likely originated in the Southern US. Each epidemic was associated with 1-5 early long-range transmission events, half of which sparked onward transmission. Gravity model estimates indicate a sharp decay in influenza transmission with the distance between infectious and susceptible cities, consistent with spread dominated by work commutes rather than air traffic. Two early-onset seasons associated with antigenic novelty had particularly localized modes of spread, suggesting that novel strains may spread in a more localized fashion than previously anticipated.

Indexed as

Computer SimulationDisease OutbreaksHuman MigrationHumansIncidenceInfluenza, HumanModels, StatisticalProportional Hazards ModelsRisk AssessmentRisk FactorsSpatio-Temporal AnalysisTransportationTravelUnited StatesUrban Population

Identifiers

PMID28187123
PMCPMC5349690

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.