2nd August 2020
On the 2nd August 2020 the CADDE Publication ‘Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil’ was included in COVID Reference Top 10. CADDE Principal Investigator, Dr Nuno Rodrigues Faria, Dr Julio Croda and colleagues present and contextualise Brazilian COVID-19 cases for March, April and May 2020. Full-text
15th May 2020
On Monday 18th May at 2pm BST / 10am BRT there will be a webinar about the recent publication Report 21 – Estimating COVID-19 cases and reproduction number in Brazil. Dr Samir Bhatt and Dr Thomas Mellan from the Faculty of Medicine, School of Public Health, Imperial College London will be discussing modelling COVID-19 transmission …
Continue reading “Online Webinar: Projections for the future: Do they help or hinder?”
7th March 2020
CADDE principal investigator Ester Sabino and postdoc Jaqueline Goes de Jesus have been honored by Mauricio de Sousa creator of Monica’s Gang or Monica and Friends (in Portuguese Turma da Mônica) for their work on leading coronavirus genome sequencing in Brazil. The project, entitled “Donas da Rua”, celebrates important women in the areas of science, arts, and politics, among …
5th March 2020
CADDE generates first COVID-19 genomes from South America We provide a brief report and phylogenetic analysis of the first confirmed COVID-2 cases in Brazil. The first genome and report were generated in less than 48 hours upon confirmatory diagnostic at Instituto Adolfo Lutz. From the COVID-19 suspected cases, two have so far tested positive for …
Continue reading “First COVID-19 genomes from South America”
19th February 2020
Note: We have decided to postpone the CADDE Workshop on Spatial Analysis for Decision Making on Arbovirus Control due to the increasing impact of COVID-19 worldwide. Those who have already submitted their application will receive further instructions by email. CADDE Workshop on Spatial Analysis for Decision Making on Arbovirus Control From: New dates will be …
Continue reading “Second CADDE Workshop – Spatial Analysis for Decision Making on Arbovirus Control”
