Evidence map›Paper›PMID 30287659›Full record

ArticleScience (New York, N.Y.)2018

Urbanization and humidity shape the intensity of influenza epidemics in U.S. cities.

Benjamin D Dalziel, Stephen Kissler, Julia R Gog, Cecile Viboud, Ottar N Bjørnstad, C Jessica E Metcalf, Bryan T Grenfell

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 3 pooled it
–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

173 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Article
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  7. Article
  8. Local Influenza Forecasts Outperform State-Level Forecasts in the United States.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Article
  10. Article
  11. Noisy periodicity in tropical respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026
    Article
  12. Article
  13. Article
  14. Toward AI foundation models for epidemics: Promise, challenges, and paths forward.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  17. Article
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  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Benjamin D DalzielDepartment of Integrative Biology, Oregon State University, Corvallis, OR, USA. benjamin.dalziel@oregonstate.edu.ORCID 0000-0002-9674-2783
Stephen KisslerDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Julia R GogDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1240-7214
Cecile ViboudDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-3243-4711
Ottar N BjørnstadDepartment of Entomology, Pennsylvania State University, State College, PA, USA.ORCID 0000-0002-1158-3753
C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.ORCID 0000-0003-3166-7521
Bryan T GrenfellDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.

Funding

Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879
6 · The paper itself

Abstract

Influenza epidemics vary in intensity from year to year, driven by climatic conditions and by viral antigenic evolution. However, important spatial variation remains unexplained. Here we show predictable differences in influenza incidence among cities, driven by population size and structure. Weekly incidence data from 603 cities in the United States reveal that epidemics in smaller cities are focused on shorter periods of the influenza season, whereas in larger cities, incidence is more diffuse. Base transmission potential estimated from city-level incidence data is positively correlated with population size and with spatiotemporal organization in population density, indicating a milder response to climate forcing in metropolises. This suggests that urban centers incubate critical chains of transmission outside of peak climatic conditions, altering the spatiotemporal geometry of herd immunity.

Indexed as

EpidemicsHumidityUrbanizationAntigens, ViralCitiesEvolution, MolecularHumansIncidenceInfluenza, HumanOrthomyxoviridaePopulation DensitySpatio-Temporal AnalysisUnited StatesAntigens, Viral

Identifiers

PMID30287659
PMCPMC6510303

What OpenQuestion holds

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LicenceCC BY
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.