COVID-19 crisis monitor: assessing the effectiveness of exit strategies in the State of São Paulo, Brazil.

As COVID-19-related health indicators improve after restrictive measures were set in place in different parts of the world, governments are expected to guide how to ease interventions while minimizing the risk of resurgent outbreaks. Whereas epidemiologists track the progress of the disease using daily indicators to understand the pandemic better, economic activity indicators are usually available at a lower frequency and with considerable time lags. We propose and implement a timely trade-based regional economic activity indicator (EAI) that uses high-frequency traffic data to monitor daily sectoral economic activity in different sectors for the Brazilian State of São Paulo, a highly impacted region, overcoming the challenge of real-time assessment of the economy amid the COVID-19 outbreak. We then use this novel set of information combined with hospitalization rates to provide a first assessment of the São Paulo Plan, the COVID-19 exit strategy designed to gradually lifting interventions introduced to control the outbreak in the State. Available data show that, in its first 60 days, the phased strategy pursued in São Paulo has been effective in gradually reactivating economic activity while maintaining the adequate responsiveness of the healthcare system. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00168-021-01085-8.

Time is life: EpAssistant - a new tool for the automatic identification of anti-HLA antibody epitope specificity in transplant programs.

BACKGROUND AND OBJECTIVES: This work aims to present the expert system EpAssistant, a platform algorithm designed to accurately and automatically identify the EPLETS specificities of anti-HLA (Human Leukocyte Antigen) antibodies in the sera of transplantation candidates. MATERIALS AND METHODS: RESULTS: As preliminary results, we present the development and establishment of the EpAssistant platform. EpAssistant analyses can be performed for Class I (-A, B and C) and Class II (-DR, -DQ and -DP) HLA molecules. CONCLUSIONS: EpAssistant automates the EPLETS reactivity analysis process and drastically reduces the time required to produce final results, enabling large-scale data analyses in a simple, inexpensive and rapid manner and facilitating the allocation of donated organs via the EPLETS Virtual Crossmatch (EVxM) system.