| Autor: |
Yura K. Ko, Yuki Furuse, Kanako Otani, Masato Yamauchi, Kota Ninomiya, Mayuko Saito, Takeaki Imamura, Alex R. Cook, Tadayuki Ahiko, Shunji Fujii, Yoshiharu Mori, Emiko Suzuki, Keiko Yamada, Yoshikazu Ashino, Hidetoshi Yamashita, Yuichi Kato, Katsumi Mizuta, Motoi Suzuki, Hitoshi Oshitani |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2045-2322 |
| DOI: |
10.1038/s41598-023-38007-x |
| Popis: |
Abstract Japan has implemented a cluster-based approach for coronavirus disease 2019 (COVID-19) from the pandemic’s beginning based on the transmission heterogeneity (overdispersion) of severe acute respiratory coronavirus 2 (SARS-CoV-2). However, studies analyzing overdispersion of transmission among new variants of concerns (VOCs), especially for Omicron, were limited. Thus, we aimed to clarify how the transmission heterogeneity has changed with the emergence of VOCs (Alpha, Delta, and Omicron) using detailed contact tracing data in Yamagata Prefecture, Japan. We estimated the time-varying dispersion parameter ( $${k}_{t}$$ k t ) by fitting a negative binomial distribution for each transmission generation. Our results showed that even after the emergence of VOCs, there was transmission heterogeneity of SARS-CoV-2, with changes in $${k}_{t}$$ k t during each wave. Continuous monitoring of transmission dynamics is vital for implementing appropriate measures. However, a feasible and sustainable epidemiological analysis system should be established to make this possible. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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