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Health and Reintegration. Returning to Space but not to Time: A life course approach to migrants’ health, continuity of care and impact on reintegration outcomes

This study was the result of a collaboration between the EU-IOM Knowledge Management Hub (KMH), with the financial support of the European Union (EU), in collaboration with Samuel Hall and the African Centre for Migration and Society at the University of the Witwatersrand in South Africa.

Covid-19 spatial circulation through the slaughterhouses in the south and southeast parÁ: Spatial impacts of an “essential activity” in the midst of a pandemic

Considered an essential activity, the production coming from slaughterhouses did not stop its activities in the midst of the new coronavirus pandemics (SARS COV-19) in Brazil. South and Southeast regions of Pará are examples of how such activity is associated to the worldwide production circuit. Nevertheless, the spatial circulation of the supplies coming from the slaughterhouses becomes one of the covid-19 transmission vectors, due to the intense mobility of workers in the sector.

Analysis of spatial correlation between public transportation system users and covid-19 cases: A case study in Recife (PE)

Using public transport systems has been reported to be a possible vector of virus transmission during epidemics. In this context, this article aims to analyze the spatial correlation between public transportation users and COVID-19 cases, using Recife (PE) as a case study. Using spatial analysis, the Moran I Global and Local index were calculated, and global and geographically weighted regression models were estimated for the months of March to June 2020, considering neighborhoods in Recife as a spatial unit of analysis.

Kinetic Monte Carlo model for the COVID-19 epidemic: Impact of mobility restriction on a COVID-19 outbreak

As the coronavirus disease 2019 (COVID-19) spreads worldwide, epidemiological models have been employed to evaluate possible scenarios and gauge the efficacy of proposed interventions. Considering the complexity of disease transmission dynamics in cities, stochastic epidemic models include uncertainty in their treatment of the problem, allowing the estimation of the probability of an outbreak, the distribution of epidemic magnitudes, and their expected duration.

A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil

Objective: COVID-19 diagnosis is a critical problem, mainly due to the lack or delay in the test results. We aimed to obtain a model to predict SARS-CoV-2 infection in suspected patients reported to the Brazilian surveillance system. Methods: We analysed suspected patients reported to the National Surveillance System that corresponded to the following case definition: patients with respiratory symptoms and fever, who travelled to regions with local or community transmission or who had close contact with a suspected or confirmed case.

Evolution and epidemic spread of SARS-CoV-2 in Brazil

Brazil currently has one of the fastest-growing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics in the world. Because of limited available data, assessments of the impact of nonpharmaceutical interventions (NPIs) on this virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from >3 to 1 to 1.6 in São Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified >100 international virus introductions in Brazil.

Importation and early local transmission of covid-19 in Brazil, 2020

We conducted the genome sequencing and analysis of the first confirmed COVID-19 infections in Brazil. Rapid sequencing coupled with phylogenetic analyses in the context of travel history corroborate multiple independent importations from Italy and local spread during the initial stage of COVID-19 transmission in Brazil. © 2020, Instituto de Medicina Tropical de Sao Paulo. All rights reserved.

Epidemiologic and clinical features of patients with COVID-19 in Brazil

Objective This study describes epidemiological and clinical features of patients with confirmed infection by SARS-CoV-2 diagnosed and treated at Hospital Israelita Albert Einstein , which admitted the first patients with this condition in Brazil. Methods In this retrospective, single-center study, we included all laboratory confirmed COVID-19 cases at Hospital Israelita Albert Einstein , São Paulo, Brazil, from February until March 2020. Demographic, clinical, laboratory and radiological data were analyzed.