Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic

In this study, we introduce the Source Sink Score, which determines whether a localized outbreak serves as a source or sink for other regions, and the Local Import Score, which assesses whether the outbreak has transitioned to local transmission rather than being maintained by continued introductions. These epidemiological statistics provide actionable insights for developing public health interventions tailored to the needs of affected areas.

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Publication Details

Journal
Communications Medicine
Published
2025-05-09
DOI
https://doi.org/10.1038/s43856-025-00888-6
Citations
3
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
4.10

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article

Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic

Gabriella Veytsel, Leke Lyu, Cody Dailey, Justin Bahl et al.
3 citations
Communications Medicine
COVID-19 epidemiological studies
4.10
article

Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic

Gabriella Veytsel, Leke Lyu, Cody Dailey, Justin Bahl, Lambodhar Damodaran, Pamela Brown, Kayo Fujimoto, Spencer J. Fox, Armand Brown, Magdy Alabady, Guppy Stott, Roger Sealy
article en
3 citations

Abstract

In this study, we introduce the Source Sink Score, which determines whether a localized outbreak serves as a source or sink for other regions, and the Local Import Score, which assesses whether the outbreak has transitioned to local transmission rather than being maintained by continued introductions. These epidemiological statistics provide actionable insights for developing public health interventions tailored to the needs of affected areas.

Communications MedicineVol. 5(1)
University of Georgia (US), Houston Health and Human Services Department (US), University of Pennsylvania (US), The University of Texas Health Science Center at Houston (US)
U.S. Department of Health and Human Services, National Institutes of Health, Centers for Disease Control and Prevention, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 7%
COVID-19 epidemiological studies
4.10
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Characterizing spatial epidemiology in a heterogeneous transmission landscape using the spatial transmission count statistic — Gabriella Veytsel, Leke Lyu, et al. · Communications Medicine (2025) | TGRS Research Map | TGRS