Back to search

Article

Fine-Grid Spatial Interaction Matrices for Surveillance Models, with Application to Influenza in Germany

2025-04-04

Abstract excerpt

Accurate spatial forecasting of infectious disease outbreaks is critical for public health planning, yet models often rely on administrative boundaries that may not reflect true transmission patterns. We propose the Fine-Grid Spatial Interaction Matrix (FGSIM), which models transmission risk between districts based on distances between individuals to improve both forecast accuracy and spatial resolution of risk ma...

Topics

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

Identifiers and source

Literature Corpus work
2e049206-6025-523c-9028-be486978e11a
DOI
10.1101/2025.04.03.25325159
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Fine-Grid Spatial Interaction Matrices for Surveillance Models, with Application to Influenza in GermanyDOI 10.1101/2025.04.03.25325159
Select a neighboring publication to make it the new centre.