A study about management of drugs for leprosy patients under medical monitoring: A solution based on AHP-Electre decision-making methods.

Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy. Multi-criteria Decision Methods were applied based on AHP-Electre model in a database with information from patients in the state of Para between 2015 and 2020. The results pointed out that 84% of individuals did not receive any treatment and, among these, the method obtained a gain in the distribution of 68% in patients with positive diagnosis for leprosy.

Learning losses and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis

It is widely discussed that the pandemic has impacted educational inequalities across the world. However, in contrast to data on health or unemployment, data on education outcomes are not timely. Hence, we have extremely limited knowledge about pandemic-related learning losses at the national and cross-national levels. As it might take years to get suitable comparative data, this study uses the latest large-scale international achievement survey from before the pandemic, the Trends in International Mathematics and Science Study 2019, to answer two research questions. First, which European countries are most likely to have experienced higher learning loss among their children? Second, which European countries have most likely experienced the greatest increases in learning inequalities? Results based on 4th graders? school achievements indicate that educational inequalities between and within countries are likely to have augmented substantially throughout Europe. Some European countries are probably already facing an education crisis.

Demand Aggregation as a Strategy for Untapping Buildings’ Energy Renovation Potential: Diagnosis and Prioritization Methodology and Case Study from the Basque Country

Energy renovation of post-World War II private multifamily residential buildings has been identified to have a great deal of energy-saving potential but faces a great challenge across Europe, and especially in South Europe, due to fragmented property structures and longer return periods in energy efficiency investments. However, there is great deal of potential in activating demand aggregation in areas with homogeneous typologies. Local authorities play a key role in leading district-scale renovation but lack adequate methods for analysing and prioritizing areas from an integrated perspective, including social aspects. The methodology presented in this paper aims to support local authorities by providing a tool for the diagnosis and prioritization of homogeneous groups of residential buildings to address their renovation based on an analysis of their needs and opportunity factors. First, the methodology sets the universe of analysis;second, based on indicators, it provides comparative information within the municipality, which leads to a prioritization of areas for building renovations according to the state of the building and to the socio-economic profile of the residents;lastly, a detailed diagnosis of selected groups is performed, providing information to design the Renovation Action Plans accordingly. The application of the methodology in Basauri is presented in this paper.

Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19.

INTRODUCTION: The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region. AIMS: The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients. METHODS: A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora-Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model. RESULTS: Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases. CONCLUSION: Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations.

Systematic Review of Antiphospholipid Antibodies in COVID-19 Patients: Culprits or Bystanders?

PURPOSE OF REVIEW: COVID-19 patients have a procoagulant state with a high prevalence of thrombotic events. The hypothesis of an involvement of antiphospholipid antibodies (aPL) has been suggested by several reports. Here, we reviewed 48 studies investigating aPL in COVID-19 patients. RECENT FINDINGS: Prevalence of Lupus Anticoagulant (LA) ranged from 35% to 92% in ICU patients. Anti-cardiolipin (aCL) IgG and IgM were found in up to 52% and up to 40% of patients respectively. Anti-ß2-glycoprotein I (aß2-GPI) IgG and IgM were found in up to 39% and up to 34% of patients respectively. Between 1% and 12% of patients had a triple positive aPL profile. There was a high prevalence of aß2-GPI and aCL IgA isotype. Two cohort studies found few persistent LA but more persistent solid phase assay aPL over time. aPL determination and their potential role is a real challenge for the treatment of this disease.

Evaluation of the Risk of Clinical Deterioration among Inpatients with COVID-19.

This study aims to assess the risk of severe forms of COVID-19, based on clinical, laboratory, and imaging markers in patients initially admitted to the ward. This is a retrospective observational study, with data from electronic medical records of inpatients, with laboratory confirmation of COVID-19, between March and September 2020, in a hospital from Juiz de Fora-MG, Brazil. Participants (n = 74) were separated into two groups by clinical evolution: those who remained in the ward and those who progressed to the ICU. Mann-Whitney U test was taken for continuous variables and the chi-square test or Fisher's exact test for categorical variables. Comparing the proposed groups, lower values of lymphocytes (p = <0.001) and increases in serum creatinine (p = 0.009), LDH (p = 0.057), troponin (p = 0.018), IL-6 (p = 0.053), complement C4 (p = 0.040), and CRP (p = 0.053) showed significant differences or statistical tendency for clinical deterioration. The average age of the groups was 47.9 ± 16.5 and 66.5 ± 7.3 years (p = 0.001). Hypertension (p = 0.064), heart disease (p = 0.048), and COPD (p = 0.039) were more linked to ICU admission, as well as the presence of tachypnea on admission (p = 0.051). Ground-glass involvement >25% of the lung parenchyma or pleural effusion on chest CT showed association with evolution to ICU (p = 0.027), as well as bilateral opacifications (p = 0.030) when compared to unilateral ones. Laboratory, clinical, and imaging markers may have significant relation with worse outcomes and the need for intensive treatment, being helpful as predictive factors.

Are All Lockdown Teams Created Equally? Work Characteristics and Team Perceived Virtuality

Team virtuality has been mostly conceptualized as structural features, such as the percentage of time team members communicate via technology. However, the perception of distance and of information deficits (team perceived virtuality, TPV) may be an indispensable construct to understand virtual teams? functioning. The lockdowns imposed on most countries due to COVID-19 created virtual teams with high degrees of structural virtuality. With structural virtuality held constant among teams, we explore configurations of work characteristics (autonomy, interdependence, and organizational support) that influence TPV. With a sample of 296 multinational workers, a Latent Profile Analysis identified four distinct profiles of those work characteristics. Those profiles related differently to TPV. Contrary to previous findings, interdependence seems to play an important role in these teams high in structural virtuality when their autonomy is also high, highlighting the pivotal role of frequent interaction among team members, under conditions of high structural virtuality.