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Volume 31, Number 4—April 2025
Research

Predictive Model for Estimating Annual Ebolavirus Spillover Potential

Carson T. TelfordComments to Author , Brian R. Amman, Jonathan S. Towner, Joel M. Montgomery, Justin Lessler, and Trevor Shoemaker
Author affiliation: Centers for Disease Control and Prevention, Atlanta, Georgia, USA (C.T. Telford, B.R. Amman, J.S. Towner, J.M. Montgomery, T. Shoemaker); University of North Carolina, Chapel Hill, North Carolina, USA (C.T. Telford, J. Lessler); Johns Hopkins University, Baltimore, Maryland, USA (J. Lessler)

Main Article

Figure 5

Heatmaps of ROR predictions from a model for estimating annual Ebolavirus spillover potential. A, B) Estimated RORs for spillover in Mubende, Uganda (A), and Mbadanka, Democratic Republic of the Congo (B). C, D) Ratios of RORs from 2022 relative to those from 2021 for Mubende (C) and Mbadanka (D). ROR, relative odds ratio.

Figure 5. Heatmaps of ROR predictions from a model for estimating annual Ebolavirus spillover potential. A, B) Estimated RORs for spillover in Mubende, Uganda (A), and Mbadanka, Democratic Republic of the Congo (B). C, D) Ratios of RORs from 2022 relative to those from 2021 for Mubende (C) and Mbadanka (D). ROR, relative odds ratio.

Main Article

Page created: February 10, 2025
Page updated: March 24, 2025
Page reviewed: March 24, 2025
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