Evidence map›Paper›PMID 42926790›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Age as a Leading Indicator: A Multi-Outcome Analysis of Influenza Lead-Lag Relationships.

Emily A Serman, Amanda Bleichrodt, Iromi Jayawardena, Carolina Liskey, Lior Rennert

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

5 authors.

Emily A SermanDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.ORCID 0000-0002-1128-0154
Amanda BleichrodtDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Iromi JayawardenaDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Carolina LiskeyDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Lior RennertDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.ORCID 0000-0001-5275-7273

Funding

Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemicsR01LM014193 · NLM · CLEMSON UNIVERSITY · PI Lior Rennert · 2023 to 2026
$2.5M
NLM NIH HHS R01 LM014193
6 · The paper itself

Abstract

Prior work has shown that school-age children's influenza activity precedes that of adults by one to two weeks. Whether this is robust across outcomes or constant across a season's course is unexamined. Using electronic health record data from two health systems in South Carolina (2016-2026) on individuals with an influenza diagnosis or positive test, we tested age-group lead-lag relationships across six measures using differenced cross-correlation and Granger causality, with significance confirmed via heteroskedasticity-robust block permutation. We tested whether relationships differed between a season's growth and decline phases. Children 5-17 years led every other age group by approximately one week in four out of six outcomes and were the only group showing any nonzero-lag relationship across 60 pairwise combinations. A screen of 150 source-target combinations identified 26 permutation-confirmed instances of children's lower-acuity activity preceding elevated emergency department or inpatient burden in other age groups. The same-outcome lead was concentrated during a season's growth phase, while the cross-severity lead was robust throughout both a season's growth and decline. School-age children's influenza activity is a robust, multi-outcome leading indicator with distinct transmission-timing and severity-progression signals in different phases of seasonal epidemics, supporting incorporation of age-stratified, phase-aware indicators into influenza forecasting.

Identifiers

PMID42926790
PMCPMC13692313

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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.