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 ProjectSigue 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 publicSigue 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 USFQSigue leyendo «Measuring well-being and expectations in real time during Covid-19: Ecuador Case»
healthecuador.org 