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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8367| Combining genomic data and infection estimates to characterize the complex dynamics of SARS-CoV-2 Omicron variants in the United States | |
| Rafael Lopes Fayette Klaassen Melanie H Chitwood Anne Maria Hahn seth redmond Nicole Swartwood Joshua Salomon Nicolas Menzies Ted Cohen Nathan Grubaugh | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.11.07.23298178 | |
| https://www.medrxiv.org/content/10.1101/2023.11.07.23298178v1 | |
| SARS-CoV-2 Omicron surged as a variant of concern (VOC) in late 2021. Subsequently, several distinct Omicron variants have appeared and overtaken each other. We combined variant frequencies from GISAID and infection estimates from a nowcasting model for each US state to estimate variant-specific infections, attack rates, and effective reproduction numbers (Rt). BA.1 rapidly emerged, and we estimate that it infected 47.7% of the US population between late 2021 and early 2022 before it was replaced by BA.2. We estimate that BA.5, despite a slower takeoff than BA.1, also infected 35.7% of the US population, persisting in circulation for nearly 6 months. Other Omicron variants - BA.2, BA.4, or XBB - infected 30.7% of the US population. We found a positive correlation between the state-level BA.1 attack rate and social vulnerability. Our findings reveal the complex interplay between viral evolution, population susceptibility, and social factors since Omicron emerged in the US. | |
| bioRxiv | |
| 08-11-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Combining genomic data and infection estimates to characterize the complex dynamics of SARS-CoV-2 Omicron variants in the United States.pdf | 3.09 MB | Adobe PDF | Visualizar/Abrir |