Listar Modelos e métodos numéricos en enxeñaría e ciencias aplicadas (M2NICA) por autor "Fajar, Noelia M"
Mostrando ítems 1-2 de 2
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Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study
Pájaro Diéguez, Manuel; Fajar, Noelia M; Alonso, Antonio; Otero-Muras, Irene (Elsevier, 2022-11)[Abstract]: The level of unpredictability of the COVID-19 pandemics poses a challenge to effectively model its dynamic evolution. In this study we incorporate the inherent stochasticity of the SARS-CoV-2 virus spread by ... -
Wastewater and marine bioindicators surveillance to anticipate COVID-19 prevalence and to explore SARS-CoV-2 diversity by next generation sequencing: One-year study
Novoa, Beatriz; Ríos-Castro, Raquel; Otero-Muras, Irene; Gouveia, Susana; Cabo, Adrián; Saco, Amaro; Rey-Campos, Magalí; Pájaro Diéguez, Manuel; Fajar, Noelia M; Aranguren, Raquel; Romero, Alejandro; Panebianco, Antonella; Valdés, Lorena; Payo, Pedro; Alonso, Antonio; Figueras, Antonio; Cameselle, Claudio (Elsevier, 2022)[Abstract] This study presents the results of SARS-CoV-2 surveillance in sewage water of 11 municipalities and marine bioindicators in Galicia (NW of Spain) from May 2020 to May 2021. An integrated pipeline was developed ...