[Germina: tool for automatic detection of clusters of COVID-19 cases]. / Germina: herramienta para la detección automática de agrupaciones de casos de COVID-19.

The COVID-19 pandemic showed that epidemiological surveillance was under-resourced to respond to increases in cases and outbreaks. The high community transmissibility among the school population in the city of Barcelona at the beginning of the sixth wave strained the local COVID-19 surveillance unit. Using SCRUM methodology, Germina was developed and implemented as a software tool capable of capturing, harmonizing, integrating, storing, analysing and visualizing data from multiple information sources on a daily basis. Germina identifies clusters of three or more school cases and calculates epidemiological indicators. The implementation of Germina facilitated the epidemiological response to the sixth wave of COVID-19 in the school setting in the city of Barcelona. This tool is transferable to other exposure settings and communicable diseases. The use of automated informatics tools such, as Germina, improves epidemiological surveillance systems and supports evidence-based decision making.

Socioeconomic inequalities in COVID-19 incidence during the first six waves in Barcelona.

BACKGROUND: The emergence of SARS-CoV-2 affected urban areas. In Barcelona, six waves of COVID-19 hit the city between March 2020 and March 2022. Inequalities in the incidence of COVID-19 have been described. However, no studies have examined the daily trends of socioeconomic inequalities and how they changed during the different phases of the pandemic. The aim of this study is to analyse the dynamic socioeconomic inequalities in the incidence of COVID-19 during the six waves in Barcelona. METHODS: We examined the proportion of daily cases observed in the census tracts in the lower income tercile compared with the proportion of daily cases observed in the sum of the lower and higher income terciles. Daily differences in these proportions were assessed as a function of the epidemic waves, sex, age group, daily incidence and daily change in the incidence. A logistic regression model with an autoregressive term was used for statistical analysis. RESULTS: A time-dynamic effect was found for socioeconomic inequalities in the incidence of COVID-19. In fact, belonging to a lower-income area changed from being a risk factor (Waves 1, 2, 4 and 5) to being a protective factor in the sixth wave of the pandemic. Age also had a significant effect on incidence, which also changed over the different waves of the pandemic. Finally, the lower-income areas showed a comparatively lower incidence during the ascending phase of the epidemic waves. CONCLUSION: Socioeconomic inequalities in COVID-19 changed by wave, age group and wave phase.

Community outbreak of COVID-19 among people who use drugs attending a harm reduction centre in Barcelona, Spain.

BACKGROUND: The COVID-19 pandemic particularly affected the health of vulnerable population, such as people who use drugs. Due to compromised baseline health status, certain drug uses and settings and socioeconomic deprivation related to poverty and homelessness, drug users faced higher risk of COVID-19 infection. They had difficulty in adhering to the public health measures (i.e. physical distancing, hand hygiene and mask use). Also, the struggle to implement non-pharmaceutical actions (i.e. test-trace-isolate-quarantine strategy) among SARS-COV-2-infected drug users and their close contacts challenged the public health response. Therefore, this study aimed to describe a community COVID-19 outbreak and its approach among drug users of a harm reduction programme in an outpatient drug treatment centre in Barcelona, Spain. METHODS: We conducted an observational descriptive study of an outbreak of COVID-19 among people who use drugs attending the harm reduction programme of an outpatient drug treatment centre in the city of Barcelona, between July and October 2021 (n = 440). A passive search for cases was carried out with rapid antigens tests targeting symptomatic users who attended the facilities. RESULTS: Nineteen positive COVID-19 cases were identified among symptomatic drug users, between July and October 2021, with an attack rate of 4.3%. Specific measures were taken to control the outbreak, such as offering accommodation to self-isolate in a low-threshold residential resource to homeless drug users who tested positive and intensifying the vaccination strategy. The management of the outbreak was carried out in close collaboration between the outpatient centre and the main public health stakeholders in the city of Barcelona. CONCLUSIONS: This study shows the complexity of managing and investigating COVID-19 outbreaks in vulnerable population groups. Epidemiological control measures, such as the test-trace-isolate-quarantine strategy, were challenging to implement due to technology-related barriers and socioeconomic vulnerabilities, especially homelessness. Community-based interventions, cooperation among stakeholders and housing-related policies were helpful in tackling outbreaks among people who use drugs. When addressing vulnerable and hidden populations, the perspective of inequalities should be included in epidemiological surveillance and outbreak control strategies.

A large outbreak of COVID-19 linked to an end of term trip to Menorca (Spain) by secondary school students in summer 2021.

BACKGROUND: An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) occurred in young people from Catalonia (Spain) who travelled to Menorca (Spain) in summer 2021. This outbreak appeared when governments relaxed Covid-19 preventive measures: the mask usage and the opening of nightlife. It was related to a super-disseminating mass event: Sant Joan festivities in Ciutadella. The aim of this article is to describe an outbreak of COVID-19 in young people aged 17-19 years from Catalonia travelling to Menorca. METHODS: This is an observational study of a COVID-19 outbreak. The study population comprised Catalonian youth aged 17-19 years who travelled to Menorca from 15 June to 10 July. Epidemiological descriptive indicators were obtained. Descriptive and geographical statistics were carried out. Bivariate Moran's I test was used to identify spatial autocorrelation between the place of residence and deprivation. The outbreak control method was based on identifying and stopping chains of transmission by implementing the test-trace-isolate-quarantine (TTIQ) strategy. RESULTS: We identified 515 confirmed cases infected in Menorca, 296 (57.5%) in girls and 219 (42.5%) in boys, with a total of 2,280 close contacts. Of them, 245 (10.7%) were confirmed as cases. The cases were diagnosed between 15 June and 10 July. None of the persons with confirmed infection died or required hospitalisation. The attack rate was 27.2%. There was an inverse relationship between deprivation and number of confirmed cases (p<0.005), there were clusters of confirmed cases in the most socioeconomic favoured areas. DISCUSSION: The outbreak is related with young people from socioeconomic favoured areas who travelled to Menorca in summer 2021. Failure to comply with preventive measures in binge-drinking events and during holidays may have favoured SARS-CoV-2 transmission. The interauthority coordination and establishment of a clear line of leadership allowed continuous communication between institutions, which were key to managing this complex COVID-19 outbreak.

Germina: herramienta para la detección automática de agrupaciones de casos de COVID-19 / Germina: tool for automatic detection of clusters of COVID-19 cases

La pandemia de COVID-19 evidenció que la vigilancia epidemiológica no disponía de recursos para responder a los aumentos de casos ni a los brotes. La alta transmisibilidad comunitaria entre la población escolar en la ciudad de Barcelona al inicio de la sexta ola tensionó la unidad de vigilancia de COVID-19 de la ciudad. Mediante metodología SCRUM se desarrolló e implementó Germina, una herramienta informática capaz de capturar, armonizar, integrar, almacenar, analizar y visualizar diariamente datos de múltiples fuentes de información. Germina permite identificar agrupaciones de tres o más casos escolares y calcular indicadores epidemiológicos. La implementación de Germina facilitó la respuesta epidemiológica a la sexta ola de COVID-19 en el ámbito escolar en Barcelona. Esta herramienta es aplicable a otros ámbitos de exposición y a otras enfermedades transmisibles. El uso de herramientas informáticas automatizadas, como Germina, mejora los sistemas de vigilancia epidemiológica y apoya la toma de decisiones basada en la evidencia.(AU)

The COVID-19 pandemic showed that epidemiological surveillance was under-resourced to respond to increases in cases and outbreaks. The high community transmissibility among the school population in the city of Barcelona at the beginning of the sixth wave strained the local COVID-19 surveillance unit. Using SCRUM methodology, Germina was developed and implemented as a software tool capable of capturing, harmonizing, integrating, storing, analysing and visualizing data from multiple information sources on a daily basis. Germina identifies clusters of three or more school cases and calculates epidemiological indicators. The implementation of Germina facilitated the epidemiological response to the sixth wave of COVID-19 in the school setting in the city of Barcelona. This tool is transferable to other exposure settings and communicable diseases. The use of automated informatics tools such, as Germina, improves epidemiological surveillance systems and supports evidence-based decision making.(AU)

Responding to the need of postgraduate education for Planetary Health: Development of an online Master's Degree.

Planetary Health has emerged as a new approach to respond to the existential risks that the clime and global environmental crises pose to human societies. As stated by various stakeholders, the challenges involved in Planetary Health are of such magnitude that education must be at the forefront to obtain a meaningful response. Universities and higher education institutions have been specifically called to embed the concept of planetary stewardship in all curricula and train the next generation of researchers and change makers as a matter of urgency. As a response to this call, the Universitat Oberta de Catalunya (UOC), the Universitat Pompeu Fabra (UPF), and the Barcelona Institute for Global Health (ISGlobal) developed the first online and asynchronous Master in Science (MSc) in Planetary Health. The aim of the programme is to train a new generation of academics and professionals who understand the challenges of Planetary Health and have tools to tackle them. This article describes the development of the curriculum of this MSc, presents the main characteristics of the programme and discusses some of the challenges encountered in the development of the programme and its implementation. The design of this MSc was based on: the alignment of the programme with the principles for Planetary Health education with a focus on human health; a multi-, inter-, and trans-disciplinary approach; the urgency to respond to the Anthropocene challenges; and the commitment to the 2030 Agenda. The MSc was recognized as an official degree by the Agency for Quality of the Catalan University System, included in the European Quality Assurance Register for Higher Education, and the Spanish National Academic Coordination body in April 2021 and launched in October 2021. There are currently more than 50 students enrolled in the program coming from a broad range of disciplines and geographic locations. The information presented in this article and the discussion on challenges encountered in developing and implementing the programme can be useful for those working in the development of similar programs.

Residential Proximity to Urban Play Spaces and Childhood Overweight and Obesity in Barcelona, Spain: A Population-Based Longitudinal Study.

Findings on the relationship between play spaces and childhood overweight and obesity are mixed and scarce. This study aimed to investigate the associations between residential proximity to play spaces and the risk of childhood overweight or obesity and potential effect modifiers. This longitudinal study included children living in the city of Barcelona identified in an electronic primary healthcare record database between 2011 and 2018 (N = 75,608). Overweight and obesity were defined according to the WHO standards and we used 300 m network buffers to assess residential proximity to play spaces. We calculated the risk of developing overweight or obesity using Cox proportional hazard models. A share of 29.4% of the study population developed overweight or obesity, but we did not find consistent associations between play space indicators and overweight or obesity. We did not find any consistent sign of effect modification by sex, and only some indications of the modifying role of area socioeconomic status and level of exposure. Although it is not possible to draw clear conclusions from our study, we call for cities to continue increasing and improving urban play spaces with an equitable, healthy, and child-friendly perspective.