Mark N Lurie1, Joe Silva1, Rachel R Yorlets1, Jun Tao2, Philip A Chan2. 1. Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA. 2. Department of Medicine, Brown University, Providence, Rhode Island, USA.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread rapidly in the United States since January 2020. METHODS: We estimated mean epidemic doubling time, an important measure of epidemic growth, nationally, by state, and in association with stay-at-home orders. RESULTS: The epidemic doubling time in the United States was 2.68 days (95% confidence interval [CI], 2.30-3.24 days) before widespread mitigation efforts, increasing by 460% to 15 days (12.89-17.94 days) during the mitigation phase. Among states without stay-at-home orders, the median increase in doubling time was 60% (95% CI, 9.2-223.3), compared with 269% (95% CI, 277.0-394.0) for states with stay-at-home orders. CONCLUSIONS: Statewide mitigation strategies were strongly associated with increased epidemic doubling time.
BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread rapidly in the United States since January 2020. METHODS: We estimated mean epidemic doubling time, an important measure of epidemic growth, nationally, by state, and in association with stay-at-home orders. RESULTS: The epidemic doubling time in the United States was 2.68 days (95% confidence interval [CI], 2.30-3.24 days) before widespread mitigation efforts, increasing by 460% to 15 days (12.89-17.94 days) during the mitigation phase. Among states without stay-at-home orders, the median increase in doubling time was 60% (95% CI, 9.2-223.3), compared with 269% (95% CI, 277.0-394.0) for states with stay-at-home orders. CONCLUSIONS: Statewide mitigation strategies were strongly associated with increased epidemic doubling time.
Authors: Mariana G López; Álvaro Chiner-Oms; Darío García de Viedma; Paula Ruiz-Rodriguez; Maria Alma Bracho; Irving Cancino-Muñoz; Giuseppe D'Auria; Griselda de Marco; Neris García-González; Galo Adrian Goig; Inmaculada Gómez-Navarro; Santiago Jiménez-Serrano; Llúcia Martinez-Priego; Paula Ruiz-Hueso; Lidia Ruiz-Roldán; Manuela Torres-Puente; Juan Alberola; Eliseo Albert; Maitane Aranzamendi Zaldumbide; María Pilar Bea-Escudero; Jose Antonio Boga; Antoni E Bordoy; Andrés Canut-Blasco; Ana Carvajal; Gustavo Cilla Eguiluz; Maria Luz Cordón Rodríguez; José J Costa-Alcalde; María de Toro; Inmaculada de Toro Peinado; Jose Luis Del Pozo; Sebastián Duchêne; Jovita Fernández-Pinero; Begoña Fuster Escrivá; Concepción Gimeno Cardona; Verónica González Galán; Nieves Gonzalo Jiménez; Silvia Hernáez Crespo; Marta Herranz; José Antonio Lepe; Carla López-Causapé; José Luis López-Hontangas; Vicente Martín; Elisa Martró; Ana Milagro Beamonte; Milagrosa Montes Ros; Rosario Moreno-Muñoz; David Navarro; José María Navarro-Marí; Anna Not; Antonio Oliver; Begoña Palop-Borrás; Mónica Parra Grande; Irene Pedrosa-Corral; Maria Carmen Pérez González; Laura Pérez-Lago; Mercedes Pérez-Ruiz; Luis Piñeiro Vázquez; Nuria Rabella; Antonio Rezusta; Lorena Robles Fonseca; Ángel Rodríguez-Villodres; Sara Sanbonmatsu-Gámez; Jon Sicilia; Alex Soriano; María Dolores Tirado Balaguer; Ignacio Torres; Alexander Tristancho; José María Marimón; Mireia Coscolla; Fernando González-Candelas; Iñaki Comas Journal: Nat Genet Date: 2021-09-30 Impact factor: 41.307
Authors: Nicolas Banholzer; Adrian Lison; Dennis Özcelik; Tanja Stadler; Stefan Feuerriegel; Werner Vach Journal: Eur J Epidemiol Date: 2022-09-24 Impact factor: 12.434