Evidence map›Paper›PMID 42457614›Full record

ArticleInfluenza and other respiratory viruses2026

Applying the Moving Epidemic Method to Emergency Department Syndromic Surveillance to identify the Start of Influenza Seasons in New South Wales, Australia.

Nectarios Rose, Adam T Craig, David J Muscatello

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nectarios RoseUniversity of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-7384-9967
Adam T CraigThe University of Queensland, Australia.ORCID https://orcid.org/0000-0002-9287-8755
David J MuscatelloUniversity of New South Wales, Sydney, Australia.ORCID https://orcid.org/0000-0002-2391-4396

Funding

National Health and Medical Research Council APP1194109
6 · The paper itself

Abstract

backgroundThe Moving Epidemic Method (MEM) is a widely used threshold-based approach for identifying the start of an influenza season but has rarely been used with emergency department (ED) syndromic surveillance (EDSyS). This retrospective study aimed to evaluate MEM applied to rates of ED presentation for conditions compatible with influenza to calculate thresholds for identifying the start of the influenza season (pre-epidemic thresholds) in New South Wales, Australia, 2012 through 2019.

methodsMEM was tested on weekly rates of ED presentations for three Syndromic Groups based on combinations of four diagnostic syndromes related to influenza, to calculate pre-epidemic thresholds (epidemic start threshold) for the years 2012-2019. Validation included comparing the start of a season using pre-epidemic thresholds with the start of the season based on percent positive influenza notifications from sentinel laboratories (identification difference).

resultsThe most accurate model for identifying the start of the influenza season combined all four diagnostic syndromes, consisting of influenza like illness, unspecified viral illness, pneumonia and lower respiratory tract infections. Pre-epidemic thresholds based on MEM were able to identify the influenza season from between 2 weeks before to 1 week after the start, with a mean of 0.6 weeks before the start of a season and a mean absolute identification difference of 1.1 weeks.

conclusionThis study demonstrates the utility of MEM with EDSyS for identifying the start of influenza seasons, providing a visual alert for optimal timing of public health preparedness and response.

Indexed as

Emergency Service, HospitalEpidemicsInfluenza, HumanSentinel SurveillanceHumansNew South WalesRetrospective StudiesSeasonsemergency department syndromic surveillanceinfluenzaMEMmoving epidemic methodthresholds

Identifiers

PMID42457614
PMCPMC13372569

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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.