Evidence map›Paper›PMID 29485041›Full record

ArticleeLife2018

Conjunction of factors triggering waves of seasonal influenza.

Ishanu Chattopadhyay, Emre Kiciman, Joshua W Elliott, Jeffrey L Shaman, Andrey Rzhetsky

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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
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  20. Transmission-dynamics models for the SARS Coronavirus-2.American journal of human biology : the official journal of the Human Biology Council · 2020
    Review
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

5 authors.

Ishanu ChattopadhyayInstitute of Genomics and Systems Biology, University of Chicago, Chicago, United States.ORCID http://orcid.org/0000-0001-8339-8162
Emre KicimanInformation and Data Science Group, Microsoft Research, Redmond, United States.ORCID http://orcid.org/0000-0001-5429-468X
Joshua W ElliottComputation Institute, University of Chicago, Chicago, United States.
Jeffrey L ShamanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States.
Andrey RzhetskyInstitute of Genomics and Systems Biology, University of Chicago, Chicago, United States.ORCID http://orcid.org/0000-0001-6959-7405

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Modeling the temporal succession of phenotypes & environnnental cuesP50MH094267 · NIMH · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2011 to 2015
$10.2M
MAPGen Knowledge Base (MAPGenKB) and Coordination CenterU01HL108634 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CRANDALL, EDWARD DAVID, ZHOU, XIANGHONG JASMINE · 2011 to 2015
$5.3M
Mendelian Disease - Asthma Comorbidity to Find Subgroup-Specific Asthma GenesR01HL122712 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE, RZHETSKY, ANDREY · 2015 to 2018
$3.1M
Development and Dissemination of Operational Real-Time Respiratory Virus ForecastU01GM110748 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2018
$2.6M
Influenza Outbreak Prediction: Applying Data Assimilation Methodology to Make...R01GM100467 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2011 to 2015
$1.4M
NHLBI NIH HHS R01 HL122712NHLBI NIH HHS R01HL122712NHLBI NIH HHS U01 HL108634NHLBI NIH HHS U01HL108634-01NIEHS NIH HHS P30 ES009089NIGMS NIH HHS R01 GM100467NIGMS NIH HHS R01GM100467NIGMS NIH HHS U01 GM110748NIGMS NIH HHS U01GM110748NIMH NIH HHS 1P50MH094267NIMH NIH HHS P50 MH094267
6 · The paper itself

Abstract

Using several longitudinal datasets describing putative factors affecting influenza incidence and clinical data on the disease and health status of over 150 million human subjects observed over a decade, we investigated the source and the mechanistic triggers of influenza epidemics. We conclude that the initiation of a pan-continental influenza wave emerges from the simultaneous realization of a complex set of conditions. The strongest predictor groups are as follows, ranked by importance: (1) the host population's socio- and ethno-demographic properties; (2) weather variables pertaining to specific humidity, temperature, and solar radiation; (3) the virus' antigenic drift over time; (4) the host population'€™s land-based travel habits, and; (5) recent spatio-temporal dynamics, as reflected in the influenza wave auto-correlation. The models we infer are demonstrably predictive (area under the Receiver Operating Characteristic curve 80%) when tested with out-of-sample data, opening the door to the potential formulation of new population-level intervention and mitigation policies.

Indexed as

Disease Transmission, InfectiousBehaviorHumansIncidenceInfluenza, HumanLongitudinal StudiesOrthomyxoviridaeSeasonsSpatio-Temporal AnalysisTravelWeatherepidemiologyglobal healthGranger causalityhumanmatching analysispoisson regressionUS influenza epidemicvirus

Identifiers

PMID29485041
PMCPMC5864297

What OpenQuestion holds

Textmetadata
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.