Article

Defining influenza epidemic zones through temporal clustering of global surveillance data

2026-04-25

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Modeling when influenza epidemics typically occur can help countries optimize surveillance, time clinical and public health interventions, and reduce the burden of influenza. <h4>Methods</h4> We used influenza virus detections reported during 2011‒2024 by 180 countries to the Global Influenza Surveillance and Response System, excluding COVID-19 pandemic impacted years (20...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 87f36554-31d3-55da-ad6d-e59abbeb3cdf
DOI: 10.64898/2026.04.17.26351048

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Defining influenza epidemic zones through temporal clustering of global surveillance dataDOI 10.64898/2026.04.17.26351048Read

A method for robust estimation of seasonal onset and intensity in respiratory surveillance data: evaluated using data from 21 European countriesSemantic proximity Read

National and Regional Influenza-Like-Illness Forecasts for the USASemantic proximity Read

Fine-Grid Spatial Interaction Matrices for Surveillance Models, with Application to Influenza in GermanySemantic proximity Read

Shifting patterns of seasonal influenza epidemicsSemantic proximity Read

Characterising the epidemic spread of Influenza A/H3N2 within a city through phylogeneticsSemantic proximity Read

Decomposing Influenza-Like Illness: Estimating Pathogenic Drivers of Syndromic IndicatorsSemantic proximity Read

Mapping global emergence of pathogens with epidemic and pandemic potential to inform and accelerate pandemic prevention, preparedness, readiness and responseSemantic proximity Read

Comparison of influenza surveillance systems in Australia, China, Malaysia and expert recommendations for influenza controlSemantic proximity Read

The Seattle Flu Study: a multi-arm community-based prospective study protocol for assessing influenza prevalence, transmission, and genomic epidemiologySemantic proximity Read

Geographic Concentration of Genomic Surveillance for Highly Pathogenic Avian Influenza A(H5), South Asia, 2015–2025Semantic proximity Read

Spatial transmission network construction of influenza-like illness using Dynamic Bayesian Network and Vector-Autoregressive Moving Average ModelSemantic proximity Read

Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance dataSemantic proximity Read