Supplemental Information for: Dynamic network entropy (DNE) for pinpointing the pre-outbreak stage of infectious disease

A. The theoretical background; B. Construction of the Tokyo urban network and comparative validation; C. Impact of different features on early warning performance; D. Identifying the pre-outbreak stage; E. Determination of the temporal window width; F. Identification of pre-outbreak stages for simulated data; G. Identification of pre-outbreak stages for influenza; H. Identification of pre-outbreak stages for HFMD; I. Transparency verification; J. The time-window entropy in specific places without any geographical structure

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29622145
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplemental Information for: Dynamic network entropy (DNE) for pinpointing the pre-outbreak stage of infectious disease

Figshare
Urban Design and Spatial Analysis
article

Supplemental Information for: Dynamic network entropy (DNE) for pinpointing the pre-outbreak stage of infectious disease

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Abstract

A. The theoretical background; B. Construction of the Tokyo urban network and comparative validation; C. Impact of different features on early warning performance; D. Identifying the pre-outbreak stage; E. Determination of the temporal window width; F. Identification of pre-outbreak stages for simulated data; G. Identification of pre-outbreak stages for influenza; H. Identification of pre-outbreak stages for HFMD; I. Transparency verification; J. The time-window entropy in specific places without any geographical structure

Figshare
Sustainable cities and communities
Openalex Percentile: Top 55%
Urban Design and Spatial Analysis
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Supplemental Information for: Dynamic network entropy (DNE) for pinpointing the pre-outbreak stage of infectious disease · Figshare (2025) | TGRS Research Map | TGRS