Irregular migrants' experiences of health disparities while living in informal settlements during the COVID-19 pandemic.

AIMS: The objective of this study was to describe and understand irregular migrants' (IMs') experiences of health disparities while living in informal settlements (ISs) during the COVID-19 pandemic. DESIGN: Qualitative descriptive study. METHODS: Thirty-four IMs originating from different African countries living in ISs took part in this study. Data were collected between January and March 2022 through three focus groups and 17 in-depth interviews. Thematic analysis was used to analyse qualitative data with ATLAS.ti computer software. RESULTS: Three main themes emerged: (1) Extreme vulnerability: ISs and abuse; (2) Inequality in health treatment has increased during COVID-19; and (3) The impact of COVID-19 on the health of IMs: help from non-governmental organizations and nurses. CONCLUSION: Irregular migrants are at a higher risk of exposure to COVID-19 due to their precarious living conditions, administrative situation and access to the health system. It is recommended that specific programmes be strengthened to improve health care for this population. IMPACT: What problem did the study address? This study examines IMs' experiences of health disparities during the COVID-19 pandemic. What were the main findings? IMs are at higher risk of exposure to COVID-19 due to social, health, housing and work inequalities. Community health nurses alongside non-governmental organizations have facilitated the implementation of measures to protect this population against COVID-19. Where and on whom will the research have an impact? With the aim of improving care for IMs, strategies have been suggested for health institutions to address problems relating to accessing the health system, and to promote networking between non-governmental organizations and community health nurses.

Ethical conflicts among physicians and nurses during the COVID-19 pandemic: A qualitative study.

RATIONALE, AIMS AND OBJECTIVES: The healthcare system and professionals working in the sector have experienced a high caseload during the coronavirus disease 2019 (COVID-19) pandemic. This has increased the potential for morally harmful events that violate professionals' moral codes and values. The aim of this study was to understand and explore experiences of new moral challenges emerging among physicians and nurses caring for individuals during the COVID-19 pandemic. METHOD: The consolidated criteria for reporting qualitative research (COREQ) checklist was used in this qualitative study based on Gadamer's phenomenology. Participants were selected using a convenience sampling method. Thirteen medicine and nursing graduates were interviewed in depth. The participants all worked on the frontline at the start of the COVID-19 pandemic. Data were gathered in two basic healthcare districts in Spain, encompassing both primary care and hospital care. RESULTS: Four main themes emerged from the data analysis: (1) Betrayal of moral and ethical values as a key source of suffering; (2) Ethical and moral sense of failure accompanying loss of meaning; (3) Lack of confidence in performance; (4) Self-demand and self-punishment as personal condemnation among healthcare workers. CONCLUSIONS: Health institutions must implement interventions for health professionals to help mitigate the consequences of experiencing complex ethical scenarios during the pandemic. In addition, they should promote training in moral and ethical deliberation and prepare them to make decisions of great ethical significance.

COVID-19 Outcome Prediction by Integrating Clinical and Metabolic Data using Machine Learning Algorithms.

Background: The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus and is responsible for nearly 6 million deaths worldwide in the past 2 years. Machine learning (ML) models could help physicians in identifying high-risk individuals. Objectives: To study the use of ML models for COVID-19 prediction outcomes using clinical data and a combination of clinical and metabolic data, measured in a metabolomics facility from a public university. Methods: A total of 154 patients were included in the study. "Basic profile" was considered with clinical and demographic variables (33 variables), whereas in the "extended profile," metabolomic and immunological variables were also considered (156 characteristics). A selection of features was carried out for each of the profiles with a genetic algorithm (GA) and random forest models were trained and tested to predict each of the stages of COVID-19. Results: The model based on extended profile was more useful in early stages of the disease. Models based on clinical data were preferred for predicting severe and critical illness and death. ML detected trimethylamine N-oxide, lipid mediators, and neutrophil/lymphocyte ratio as important variables. Conclusions: ML and GAs provided adequate models to predict COVID-19 outcomes in patients with different severity grades.

Spiritual Experience and Parishioners Satisfaction in the Online Eucharist: A Latin American Case Study

This research contributes to the scarce literature that exists on the perception that Catholics have about the Eucharist online, which was continued through various digital platforms, but once the emergence of the COVID-19. In this way, the perception of Catholics is identified, regarding their spiritual experience, their satisfaction, and their intention to continue attending this type of religious practice in the future, but online. For this, a quantitative study was carried out through the PLS program with a sample of 1423 parishioners in the city of Bogotá, Colombia. Bearing in mind that Latin America has the largest number of Catholics in the world, the results of this study help the Catholic Church to generate possible strategies that can be developed in various parts of the world, to combine this type of religious services with the various virtual platforms.

Incidence of Guillain-Barré syndrome following SARS-CoV-2 immunization: Analysis of a nationwide registry of recipients of 81 million doses of seven vaccines.

BACKGROUND AND PURPOSE: Information on Guillain-Barré syndrome (GBS) as an adverse event following immunization (AEFI) against SARS-CoV-2 remains scarce. We aimed to report GBS incidence as an AEFI among adult (≥18 years) recipients of 81,842,426 doses of seven anti-SARS-CoV-2 vaccines between December 24, 2020, and October 29, 2021, in Mexico. METHODS: Cases were retrospectively collected through passive epidemiological surveillance. The overall observed incidence was calculated according to the total number of administered doses. Vaccines were analyzed individually and by vector as mRNA-based (mRNA-1273 and BNT162b2), adenovirus-vectored (ChAdOx1 nCov-19, rAd26-rAd5, Ad5-nCoV, and Ad26.COV2-S), and inactivated whole-virion-vectored (CoronaVac) vaccines. RESULTS: We identified 97 patients (52 males [53.6%]; median [interquartile range] age 44 [33-60] years), for an overall observed incidence of 1.19/1,000,000 doses (95% confidence interval [CI] 0.97-1.45), with incidence higher among Ad26.COV2-S (3.86/1,000,000 doses, 95% CI 1.50-9.93) and BNT162b2 recipients (1.92/1,00,000 doses, 95% CI 1.36-2.71). The interval (interquartile range) from vaccination to GBS symptom onset was 10 (3-17) days. Preceding diarrhea was reported in 21 patients (21.6%) and mild COVID-19 in four more (4.1%). Only 18 patients were tested for Campylobacter jejuni (positive in 16 [88.9%]). Electrophysiological examinations were performed in 76 patients (78.4%; axonal in 46 [60.5%] and demyelinating in 25 [32.8%]); variants were similar across the platforms. On admission, 91.8% had a GBS disability score ≥3. Seventy-five patients (77.3%) received intravenous immunoglobulin, received seven plasma exchange (7.2%), and 15 (15.5%) were treated conservatively. Ten patients (10.3%) died, and 79.1% of survivors were unable to walk independently. CONCLUSIONS: Guillain-Barré syndrome was an extremely infrequent AEFI against SARS-CoV-2. The protection provided by these vaccines outweighs the risk of developing GBS.

Psychological and Psychiatric Events Following Immunization with Five Different Vaccines against SARS-CoV-2.

BACKGROUND: Despite the high number of vaccines administered against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide, the information on the psychological/psychiatric adverse events following immunization (AEFI) with these newly developed vaccines remains scarce. OBJECTIVE: To describe the frequency of psychological/psychiatric symptoms among recipients of five different anti-SARS-CoV-2 vaccines and to explore the factors associated with their development reported in the nationwide Mexican registry of AEFI against SARS-CoV-2. METHODS: Descriptive study of all the psychological/psychiatric symptoms, including anxiety, panic attacks, insomnia, and agitation reported to the Mexican Epidemiological Surveillance System from 21 December 2020 to 27 April 2021, among adult (≥18 years old) recipients of 7,812,845 doses of BNT162b2, ChAdOx1 nCov-19, rAd26-rAd5, Ad5-nCoV, or CoronaVac. The factors associated with their development are determined by multivariate regression analysis. RESULTS: There were 19,163 AEFI reports during the study period; amongst them, 191 (1%) patients had psychological/psychiatric symptoms (median age of 41 years, interquartile range of 32-54; 149 [78%] women) for an observed incidence of 2.44 cases per 100,000 administered doses (95% confidence interval [CI] 2.12-2.82), 72.8% of psychiatric AEFIs were reported among recipients of BNT162b2. The median time from vaccination to symptom onset was 35 min (interquartile range: 10-720). Overall, the most common psychological/psychiatric symptoms were anxiety in 129 (67.5%) patients, panic attacks in 30 (15.7%), insomnia in 25 (13%), and agitation in 11 (5.7%). After adjusting for the confounding factors, the odds for developing psychological/psychiatric symptoms were higher for those concurrently reporting syncope (odds ratio [OR]: 4.73, 95% CI: 1.68-13.33); palpitations (OR: 2.47, 95% CI: 1.65-3.70), and dizziness (OR: 1.59, 95% CI: 1.10-2.28). CONCLUSION: In our population, psychological/psychiatric symptoms were extremely infrequent AEFIs. No severe psychiatric AEFIs were reported. Immunization stress-related responses might explain most of the detected cases.

Quality as a drive-up digital teaching: Analysis of virtual classes in Colombian business schools.

The quarantines caused by the Covid-19, generated that thousands of university students had to abruptly abandon their classroom classes, and receive them in a virtual way. This sudden change caused a break in the daily life of thousands of university students, who were forced to use a teaching method that, although not new, was unusual at that time. This, initially generated a situation of rejection, stress and a perception of low quality classes that were received in a virtual way. However, with the passage of time, there was a need to know the perception of students about the quality of their virtual classes, but once the mandatory quarantine ended, because the literature has been focused only during the quarantine period. On the other hand, most studies on this topic have focused on developed countries, so there is little literature on the perception of virtual classes, taken by students from South America, whose countries have economic, social and technological characteristics, very different from developed countries. Based on the above, this study analyzes the perceptions of 867 students from 12 private business schools in the city of Bogota, Colombia. The data processed through PLS, allows us to observe that students have changed their negative perception towards virtual classes, and that, at present, these classes are considered of quality. Similarly, we can see that satisfaction, the willingness to continue using this methodology in the future, and the good performance of the university brand, are direct results of the quality of virtual classes.

Validation of the persian version of the COVID-19 prevention, recognition and home-management self-efficacy scale.

INTRODUCTION: Adopting preventive behaviors and following the guidelines for controlling the COVID-19 epidemic depend on people's self-efficacy in carrying out these behaviors and instructions. The aim of this study was to investigate the psychometric properties of the Persian version of the COVID-19 Self-Efficacy Scale (COVID-19 SES, Hernández-Padilla et al., 2020). MATERIAL AND METHODS: This cross-sectional study was performed in a group of 400 people who were residents of the city of Asadabad in western Iran from December 2020 to January 2021. The participants were selected using a convenience sampling method. Face and content validity was assessed qualitatively based on feedback from the participants and experts, and the necessary changes were applied to the final version of the questionnaire. For construct validity, exploratory factor analysis (n=200) and confirmatory factor analysis (n=200) were performed. Internal consistency was expressed as Cronbach's alpha coefficient. Relative stability was assessed using the intraclass correlation coefficient (ICC), and absolute stability was calculated through examination of standard error of measurement (SEM). RESULTS: In exploratory factor analysis, three factors of prevention, symptom recognition, and homemanagement of COVID-19 were extracted that together explained 71.35% of the total variance. The internal consistency of the whole instrument was 0.955 and its three dimensions were 0.894, 0.916 and 0.955, respectively. In addition, an ICC of 0.986 (95% CI: 0.975-0.993, p=0.001) was found. In the confirmatory factor analysis, comparative and parsimonious fit indices were excellent, and absolute fit indices were moderate. CONCLUSIONS: The Persian version of the COVID-19 SES has good validity and reliability and can be used to measure self-efficacy in prevention, symptoms recognition, and home-management of COVID-19.

Treatment with metformin glycinate reduces SARS-CoV-2 viral load: An in vitro model and randomized, double-blind, Phase IIb clinical trial.

The health crisis caused by the new coronavirus SARS-CoV-2 highlights the need to identify new treatment strategies for this viral infection. During the past year, over 400 coronavirus disease (COVID-19) treatment patents have been registered; nevertheless, the presence of new virus variants has triggered more severe disease presentations and reduced treatment effectiveness, highlighting the need for new treatment options for the COVID-19. This study evaluates the Metformin Glycinate (MG) effect on the SARS-CoV-2 in vitro and in vivo viral load. The in vitro study was conducted in a model of Vero E6 cells, while the in vivo study was an adaptive, two-armed, randomized, prospective, longitudinal, double-blind, multicentric, and phase IIb clinical trial. Our in vitro results revealed that MG effectively inhibits viral replication after 48 h of exposure to the drug, with no cytotoxic effect in doses up to 100 µM. The effect of the MG was also tested against three variants of interest (alpha, delta, and epsilon), showing increased survival rates in cells treated with MG. These results are aligned with our clinical data, which indicates that MG treatment reduces SARS-CoV2-infected patients´ viral load in just 3.3 days and supplementary oxygen requirements compared with the control group. We expect our results can guide efforts to position MG as a therapeutic option for COVID-19 patients.

Efectividad de las vacunas contra SARS-CoV-2 en hospitalizados con fallas vacunales en 10 hospitales de la CCINSHAE.

OBJETIVO: Evaluar la efectividad de las vacunas contra SARS-CoV-2 para evitar muerte e intubación en pacientes hospitalizados con Covid-19. Material y métodos. Se presentó un análisis de 3 565 hospitalizaciones por SARS-CoV-2 de personas mayores de 20 años de edad, reportadas con fines de salud pública por 10 hospitales de especialidad. Se comparó a los egresados por mejoría (2 094) con los fallecidos (1 471) en modelos mixtos de regresión logística ajustados por edad, sexo, número de comorbilidades y el hospital como variable aleatoria. RESULTADOS: Un esquema completo de vacunación, con cinco tipos de vacunas disponi-bles, tuvo un efecto protector para muerte o intubación (RM: 0.67, IC95%: 0.54,0.83, 33% de protección); y para muerte (RM: 0.80, IC95%: 0.64,0.99, 20% de protección) estos datos se compararon con los que no habían sido vacunados. Todas las vacunas aplicadas mostraron un efecto protector con un RM<0.8, con intervalos de confianza variables. Conclusio-nes. El antecedente de vacunación reduce los riesgos de ser intubado y morir, aun en pacientes previamente vacunados y hospitalizados con Covid-19 grave.

Experiences of Home Care Nurses During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic has provoked several changes in home care. Understanding home care nurses' experiences during the COVID-19 pandemic plays an essential role in home care management. OBJECTIVE: This study aimed to explore and articulate the experience of home care nurses during the COVID-19 pandemic in Spain. DESIGN: A qualitative study using hermeneutic phenomenology was carried out. Twenty home care nurses were interviewed by teleconference between January and March 2021. Interviews were audio-recorded, transcribed verbatim, and analyzed using qualitative data analysis software. RESULTS: Three main themes with five subthemes emerged from the data analysis: (a) "The effect of COVID-19 pandemic on home care," with the subtheme "the reorganization of home care nurses' competencies"; (b) "The role of telehealth in home care," which included the subthemes "home care nurses' satisfaction with telehealth" and "barriers to implement telehealth in home care"; and (c) "Effects of the pandemic on home care nurses' lives," including the subthemes "working in a pandemic is emotionally draining" and "the continuing fear of infecting others." DISCUSSION: The findings from this study demonstrate the profound effect that home care has experienced during the COVID-19 pandemic. Home care nurses' competencies were modified to care for and diagnose COVID-19 patients. Face-to-face home care was replaced by telehealth. All home care nurses experienced physical and psychological symptoms and the fear of infecting others.

A serious game for online-based objective structured clinical examination in nursing: A qualitative study.

BACKGROUND: The current pandemic has led to unprecedented scenarios worldwide. In this context, educational institutions had to move abruptly from in-person to online classes, having to be flexible and innovative, one of the main concerns being the semester-end examinations in practical modules. OBJECTIVE: This study aimed to explore nursing students' perceptions of the use of a serious game-like model in their final online objective structured clinical examination (OSCE). DESIGN: An exploratory phenomenological study was conducted during the COVID-19 pandemic, in particular during June 2020. SETTINGS: This study took place at the University of Almeria with nursing students enrolled in a clinical placement module. PARTICIPANTS: Eighty-nine fourth-year nursing students took part in this study. METHODS: Following the educational principles of the OSCE, a virtual OSCE was designed, using the Genially platform, an online platform for creating interactive content, to set up an assessment as a story-telling game-like model. A total of 5 focus groups (FGs) were conducted afterwards via the GoogleMeet platform. In addition, 30 semi-structured interviews were performed via the same platform. The data was analysed using a content analysis approach and supported by the ATLAS.ti 8.4 software. RESULTS: Our finding revealed 2 main themes and 4 sub-themes. The two main themes were (i) generating emotions and feelings in times of virtuality; including emotions and feelings experienced by students during their online assessment process, and (ii) online assessment: a potential alternative to educational barriers; describing the variability of traditional modality, its implications for learning and the acquisition of competences. CONCLUSIONS: Serious game-like models, such as the story-telling game proposed, as part of their online OSCE assessment appear to be an appropriate alternative assessment method for face-to-face approaches. This paper adds new evidence on the use of innovative and state-of-art resources as part of nursing OSCE assessments in a new reality for most students and teachers. Serious game-like models in online OSCE may empower students and help them to remove perceived barriers in face-to-face assessments.

Kynurenine and Hemoglobin as Sex-Specific Variables in COVID-19 Patients: A Machine Learning and Genetic Algorithms Approach.

Differences in clinical manifestations, immune response, metabolic alterations, and outcomes (including disease severity and mortality) between men and women with COVID-19 have been reported since the pandemic outbreak, making it necessary to implement sex-specific biomarkers for disease diagnosis and treatment. This study aimed to identify sex-associated differences in COVID-19 patients by means of a genetic algorithm (GALGO) and machine learning, employing support vector machine (SVM) and logistic regression (LR) for the data analysis. Both algorithms identified kynurenine and hemoglobin as the most important variables to distinguish between men and women with COVID-19. LR and SVM identified C10:1, cough, and lysoPC a 14:0 to discriminate between men with COVID-19 from men without, with LR being the best model. In the case of women with COVID-19 vs. women without, SVM had a higher performance, and both models identified a higher number of variables, including 10:2, lysoPC a C26:0, lysoPC a C28:0, alpha-ketoglutaric acid, lactic acid, cough, fever, anosmia, and dysgeusia. Our results demonstrate that differences in sexes have implications in the diagnosis and outcome of the disease. Further, genetic and machine learning algorithms are useful tools to predict sex-associated differences in COVID-19.

Social Networks and E-Loyalty: A New Means of Sports Training during COVID-19 Quarantines

Globally, governments implemented several quarantine periods to attempt to slow the spread of the COVID-19 virus. As a result, people were unable to carry out their daily activities in person, and many began to undertake activities online. Gyms and sports schools were among the economic sectors that were required to physically close their operations at the beginning of these quarantines. Thus, many people stopped exercising and turned to social networks as a form of entertainment. The aim of this study was to demonstrate how consumers found a new form of entertainment in the social networks of gyms and sports schools, which allowed them to be entertained and perform physical exercise at home. In this manner, consumers generated an e-loyalty towards the social networks of the gyms that they previously frequented physically. Thus, based on the e-loyalty of their social networks, gyms were able to identify a mechanism that enabled them to approach their consumers and continue offering a variety of products and services online, taking into account the context of COVID-19.

Children's Activity Classification for Domestic Risk Scenarios Using Environmental Sound and a Bayesian Network.

Children's healthcare is a relevant issue, especially the prevention of domestic accidents, since it has even been defined as a global health problem. Children's activity classification generally uses sensors embedded in children's clothing, which can lead to erroneous measurements for possible damage or mishandling. Having a non-invasive data source for a children's activity classification model provides reliability to the monitoring system where it is applied. This work proposes the use of environmental sound as a data source for the generation of children's activity classification models, implementing feature selection methods and classification techniques based on Bayesian networks, focused on the recognition of potentially triggering activities of domestic accidents, applicable in child monitoring systems. Two feature selection techniques were used: the Akaike criterion and genetic algorithms. Likewise, models were generated using three classifiers: naive Bayes, semi-naive Bayes and tree-augmented naive Bayes. The generated models, combining the methods of feature selection and the classifiers used, present accuracy of greater than 97% for most of them, with which we can conclude the efficiency of the proposal of the present work in the recognition of potentially detonating activities of domestic accidents.

General aspects about the structure of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

ABSTRACT Introduction: In late 2019, a new coronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that causes respiratory-related illness was reported in Wuhan, China. This virus can attack human lung cells causing a disease called coronavirus disease 2019 (COVID-19), which can lead to pneumonia and acute respiratory distress syndrome. Objective: Describe the structural characteristics of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Methods: A review was written from 47 bibliographic references. Articles and information from national and international journals available in the PubMed, Scopus, Medline, SciELO databases were used. The quality, reliability and validity of the selected articles were analyzed to carry out an adequate review. Analysis-synthesis and logical deduction methods were applied. Development: An introduction to the general aspects of the structure of SARS-CoV-2 is provided by stating the characteristics of the structural and non-structural proteins encoded by the viral genome, which provides the basis for understanding viral entry mechanisms to the host cell, and may be useful to stimulate the search for novel insights and possible therapeutic targets to fight the infection. Conclusions: Knowledge of the structure of the SARS-CoV-2 virus and the characteristics of the structural and non-structural proteins provides the basis for understanding the viral mechanisms of infection and the strategies for developing effective therapeutics. RESUMEN Introducción: A finales de 2019 se informó el brote de un nuevo coronavirus en Wuhan, China, llamado Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) que causa alteraciones en el aparato respiratorio. Este virus puede atacar las células humanas del pulmón causando una enfermedad denominada enfermedad por coronavirus 2019 (COVID-19), que puede producir neumonía y un síndrome de dificultad respiratoria aguda. Objetivo: Describir las características estructurales del virus SARS-CoV-2. Métodos: Se realizó una revisión bibliográfica a partir de 47 referencias. Se utilizaron artículos e información de revistas nacionales e internacionales disponibles en las bases de datos PubMed, Scopus, Medline, SciELO. Para llevar a cabo una revisión adecuada, se analizaron la calidad, fiabilidad y validez de los artículos seleccionados. Se aplicaron métodos de análisis-síntesis y deducción lógica. Desarrollo: Se proporciona una introducción de los aspectos generales de la estructura del SARS-CoV-2. Se enuncian las características de las proteínas estructurales y no estructurales codificadas por el genoma viral, lo que provee la base para comprender los mecanismos virales de entrada a la célula huésped. El artículo resulta de utilidad para estimular la búsqueda de nuevos conocimientos y posibles objetivos terapéuticos para combatir la infección. Conclusiones: El conocimiento sobre la estructura del virus SARS-CoV-2 y las características de las proteínas estructurales y no estructurales que lo forman ampara significativamente las bases para entender los mecanismos virales de la infección y las estrategias para el desarrollo terapéutico efectivo.

Persistence of COVID-19 Symptoms after Recovery in Mexican Population.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the coronavirus disease (COVID-19), a highly contagious infectious disease that has caused many deaths worldwide. Despite global efforts, it continues to cause great losses, and leaving multiple unknowns that we must resolve in order to face the pandemic more effectively. One of the questions that has arisen recently is what happens, after recovering from COVID-19. For this reason, the objective of this study is to identify the risk of presenting persistent symptoms in recovered from COVID-19. This case-control study was conducted in one state of Mexico. Initially the data were obtained from the participants, through a questionnaire about symptoms that they had at the moment of the interview. Initially were captured the collected data, to make a dataset. After the pre-processed using the R project tool to eliminate outliers or missing data. Obtained finally a total of 219 participants, 141 recovered and 78 controls. It was used confidence level of 90% and a margin of error of 7%. From results it was obtained that all symptoms have an associated risk in those recovered. The relative risk of the selected symptoms in the recovered patients goes from 3 to 22 times, being infinite for the case of dyspnea, due to the fact that there is no control that presents this symptom at the moment of the interview, followed by the nausea and the anosmia with a RR of 8.5. Therefore, public health strategies must be rethought, to treat or rehabilitate, avoiding chronic problems in patients recovered from COVID-19.

The Psychological Consequences of COVID-19 and Lockdown in the Spanish Population: An Exploratory Sequential Design.

The objectives of this study were to analyze the psychological impact of the COVID-19 pandemic and the lockdown in the Spanish population and to identify what population profiles were most affected. The study used a sequential exploratory design. In the qualitative phase, 40 participants were recruited based on theoretically relevant criteria and the saturation of the information provided by the interviews. In the quantitative phase, a large representative sample was applied. The universe considered was the adult population of Spain. A total of 6789 surveys were conducted. Both the analysis of the narratives of the interviews and the responses to the panel survey showed relevant changes in attitudes and mood swings compared to the period prior to lockdown. These changes include dysphoric moods (i.e., experiences of distress such as sadness/depression, anxiety, rage, feeling of unreality, worry, etc.) and also some euphoric moods (i.e., feelings of well-being, happiness, etc.). A higher number of women were affected than men and a greater increase was observed in younger people. The findings of the study may serve as a basis for detecting needs and providing psychological support, as the symptoms detected as the most common are key for the processes of screening at-risk individuals.