This project seeks to understand the pathogenesis and epidemiology of the SARSCoV2 virus by sequencing and analyzing genome from patient samples.
Lead Scientist: Paúl Cárdenas, PhD (Instituto de Microbiología USFQ)
Archivo de categoría: Activities
Clinical and genotypic characteristics of patients diagnosed with SARS CoV-2 in children at a hospital in Ecuador.
Leader: Daniel Garzón, PhD (Professor, Faculty of Health Sciences, COCSA) USFQ Participants: Ana Cristina Aguilar (Professor of Embryology and Infectious Diseases, Faculty of Health Sciences, COCSA) External Participants: Jorge Reyes IESS Quito Sur Hospital team Description:The research describes the course of the disease in children and genotypes USFQ Faculty: Health Sciences, COCSA USFQ Project ID:SigueSigue leyendo «Clinical and genotypic characteristics of patients diagnosed with SARS CoV-2 in children at a hospital in Ecuador.»
Communications & COVID-19
Social work during COVID-19
Law in the time of COVID-19
Child Support/Alimony during COVID-19
COVID-19 and international cooperation
Post pandemic
Environment and COVID-19
Confinement during the pandemic
Treatment and prevention COVID-19
Pandemic Emergency Response to COVID-19
Health workers against COVID-19
Mathematical models associated to COVID-19
Virus Genome
A well-calculated proposal: mathematical proposal to defeat COVID-19 and break free from the economic blockade
Leader:Barbara Arizaga, Editora General USFQ Description:A well-calculated proposal: mathematical proposal to defeat COVID-19 and break free from the economic blockade Proyecto USFQ ID: –
Modelling the Infection Process with Noisy Data
Leader:Carlos Uribe, PhD (Professor of Economics, Administration and Economics Faculty, CADE)Santiago José Gangotena, PhD (Professor of Economics, Administration and Economics Faculty, CADE) USFQ Participants:7 students from the Economics Master´s Degree. Computational Economics class 2. Description: Estimate based on data on the course of infection to correct selection bias in reported cases and to report publicSigueSigue leyendo «Modelling the Infection Process with Noisy Data»
Measuring well-being and expectations in real time during Covid-19: Ecuador Case
Leader: Carlos Uribe, PhD (Professor of Economics, Administration and Economics Faculty, CADE) USFQ Participants:Diego Fernando Grijalva, PhD (Professor of Economics, Administration and Economics Faculty, CADE)Pablo Lucio Paredes, PhD (Dean of the Economics Faculty) External Participants:Ivan Gachet, PhD Description: The research focuses on the reliability of official data, parametric and non-parametric projections Faculty USFQ: Economics USFQSigueSigue leyendo «Measuring well-being and expectations in real time during Covid-19: Ecuador Case»
SARSCoV2 genome sequencing in patients from Ecuador during the 2020 pandemic
Leader: Paúl Cárdenas, PhD (Instituto de Microbiología USFQ) USFQ Participants:Belén Prado, MSc (Institute of Microbiology USFQ)Bernardo Gutiérrez, MSc (Universidad de Oxford/USFQ)Gabriel Trueba, PhD (Institute of Microbiology USFQ)Juan José Guadalupe, MSc (Laboratorio Biotecnología Vegetal)Michelle Grunauer, PhD (Escuela de Medicina)Patricio Rojas Silva, PhD (Institute of Microbiology USFQ)Sully Marquez, MSc (Institute of Microbiology USFQ)Verónica Barragán, PhD (Institute ofSigueSigue leyendo «SARSCoV2 genome sequencing in patients from Ecuador during the 2020 pandemic»
healthecuador.org 