S I Moon
Biographic Data
| ID | 10243199 |
|---|---|
| NAME | S I Moon |
| GIVEN NAMES | S I |
| FAMILY NAME | Moon |
| SIGNATURE | MOON S I |
| AFFILIATIONS | Kyung Hee University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A novel approach to estimating Rt through infection networks
Introduction The effective reproduction number ( R t ) is a key indicator for monitoring and controlling infectious diseases such as COVID-19, where transmission patterns can differ substantially across demographics, regions, and phases of the pandemic. In this study, we propose a novel, network-based approach to empirically estimate R t using detailed transmission data from South Korea. By reconstructing infector–infectee pairs, our method incor…
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A novel approach to estimating Rt through infection networks
Introduction The effective reproduction number ( R t ) is a key indicator for monitoring and controlling infectious diseases such as COVID-19, where transmission patterns can differ substantially across demographics, regions, and phases of the pandemic. In this study, we propose a novel, network-based approach to empirically estimate R t using detailed transmission data from South Korea. By reconstructing infector–infectee pairs, our method incor…
2019-20 coronavirus outbreak (1 work) · Biology (1 work) · Computational biology (1 work) · Computer Science (1 work) · COVID-19 epidemiological studies (1 work) · Disease (1 work) · Influenza Virus Research Studies (1 work) · Medicine (1 work) · Outbreak (1 work) · Pathology (1 work)