[Factors associated with mortality due to SARS-CoV-2 in the population over 75 years of age in the Community of Madrid]. / Factores asociados con la mortalidad por SARS-CoV-2 en la población mayor de 75 años de la Comunidad de Madrid.

Objective: Various studies have identified factors associated with risk of mortality in patients with SARS-CoV-2 infection. However, their sample size has often been limited and their results partially contradictory. This study evaluated factors associated with COVID-19 mortality in the population of Madrid over 75 years of age, in infected patients, and in hospitalized patients up to January 2021. Patients and methods: This population-based cohort study analyzed all residents of the Community of Madrid born before January 1, 1945 who were alive as of December 31, 2019. Demographic and clinical data were obtained from primary care electronic medical records (PC-Madrid), data on hospital admissions from the Conjunto Mínimo Básico de Datos (CMBD, Minimum Data Set), and data on mortality from the Índice Nacional de Defunciones (INDEF, National Death Index). Data on SARS-CoV-2 infection, hospitalization, and death were collected from March 1, 2020 to January 31, 2021. Results: A total of 587,603 subjects were included in the cohort. Of them, 41,603 (7.1%) had confirmed SARS-CoV-2 infection, of which 22,362 (53.7% of the infected individuals) were hospitalized and 11,251 (27%) died. Male sex and age were the factors most closely associated with mortality, though many comorbidities also had an influence. The associations were stronger in the analysis of the total population than in the analysis of infected or hospitalized patients. Mortality among hospitalized patients was lower during the second wave (33.4%) than during the first wave (41.2%) of the pandemic. Conclusion: Age, sex, and numerous comorbidities are associated with risk of death due to COVID-19. Mortality in hospitalized patients declined notably after the first wave of the pandemic.

Factors associated with mortality due to SARS-CoV-2 in the population over 75 years of age in the Community of Madrid.

OBJECTIVE: Various studies have identified factors associated with risk of mortality in patients with SARS-CoV-2 infection. However, their sample size has often been limited and their results partially contradictory. This study evaluated factors associated with COVID-19 mortality in the population of Madrid over 75 years of age, in infected patients, and in hospitalized patients up to January 2021. PATIENTS AND METHODS: This population-based cohort study analyzed all residents of the Community of Madrid born before January 1, 1945 who were alive as of December 31, 2019. Demographic and clinical data were obtained from primary care electronic medical records (PC-Madrid), data on hospital admissions from the Conjunto Mínimo Básico de Datos (CMBD, Minimum Data Set), and data on mortality from the Índice Nacional de Defunciones (INDEF, National Death Index). Data on SARS-CoV-2 infection, hospitalization, and death were collected from March 1, 2020 to January 31, 2021. RESULTS: A total of 587,603 subjects were included in the cohort. Of them, 41,603 (7.1%) had confirmed SARS-CoV-2 infection, of which 22,362 (53.7% of the infected individuals) were hospitalized and 11,251 (27%) died. Male sex and age were the factors most closely associated with mortality, though many comorbidities also had an influence. The associations were stronger in the analysis of the total population than in the analysis of infected or hospitalized patients. Mortality among hospitalized patients was lower during the second wave (33.4%) than during the first wave (41.2%) of the pandemic. CONCLUSION: Age, sex, and numerous comorbidities are associated with risk of death due to COVID-19. Mortality in hospitalized patients declined notably after the first wave of the pandemic.

Factors associated with mortality due to SARS-CoV-2 in the population over 75 years of age in the Community of Madrid Factores asociados con la mortalidad por SARS-CoV-2 en la población mayor de 75 años de la Comunidad de Madrid

Objective Various studies have identified factors associated with risk of mortality in patients with SARS-CoV-2 infection. However, their sample size has often been limited and their results partially contradictory. This study evaluated factors associated with COVID-19 mortality in the population of Madrid over 75 years of age, in infected patients, and in hospitalized patients up to January 2021. Patients and Methods This population-based cohort study analyzed all residents of the Community of Madrid born before January 1, 1945 who were alive as of December 31, 2019. Demographic and clinical data were obtained from primary care electronic medical records (PC-Madrid), data on hospital admissions from the Conjunto Mínimo Básico de Datos (CMBD, Minimum Data Set), and data on mortality from the Índice Nacional de Defunciones (INDEF, National Death Index). Data on SARS-CoV-2 infection, hospitalization, and death were collected from March 1, 2020 to January 31, 2021. Results A total of 587,603 subjects were included in the cohort. Of them, 41,603 (7.1%) had confirmed SARS-CoV-2 infection, of which 22,362 (53.7% of the infected individuals) were hospitalized and 11,251 (27%) died. Male sex and age were the factors most closely associated with mortality, though many comorbidities also had an influence. The associations were stronger in the analysis of the total population than in the analysis of infected or hospitalized patients. Mortality among hospitalized patients was lower during the second wave (33.4%) than during the first wave (41.2%) of the pandemic. Conclusion Age, sex, and numerous comorbidities are associated with risk of death due to COVID-19. Mortality in hospitalized patients declined notably after the first wave of the pandemic.

DEVELOPMENT OF A MODULE THAT CAN BE ATTACHED TO AN AIR CONDITIONING DISTRIBUTION SYSTEM FOR ITS DISINFECTION USING UV RADIATION

UV rays have been used since the mid-20th century to disinfect water. However, its use in air disinfection is much more recent and is not commonly used in air conditioning installations. The objective of the work is to design a device that can be connected to an air conditioning system that allows disinfecting the air that circulates through the air handling unit (AHU) or Heating, Ventilating and Air Conditioning (HVAC) units. Disinfection is carried out through the use of a lamp that emits ultraviolet radiation with the necessary power and for the appropriate irradiation time. In this way, the air that is distributed is clean and healthy. © 2021 by the authors

Fine-Tuning BERT for COVID-19 Domain Ad-Hoc IR by Using Pseudo-qrels

This work analyzes the feasibility of training a neural retrieval system for a collection of scientific papers about COVID-19 using pseudo-qrels extracted from the collection. We propose a method for generating pseudo-qrels that exploits two characteristics present in scientific articles: a) the relationship between title and abstract, and b) the relationship between articles through sentences containing citations. Through these signals we generate pseudo-queries and their respective pseudo-positive (relevant documents) and pseudo-negative (non-relevant documents) examples. The article retrieval process combines a ranking model based on term-maching techniques and a neural one based on pretrained BERT models. BERT models are fine-tuned to the task using the pseudo-qrels generated. We compare different BERT models, both open domain and biomedical domain, and also the generated pseudo-qrels with the open domain MS-Marco dataset for fine-tuning the models. The results obtained on the TREC-COVID collection show that pseudo-qrels provide a significant improvement to neural models, both against classic IR baselines based on term-matching and neural systems trained on MS-Marco. © 2021, Springer Nature Switzerland AG.