24 research outputs found
Regional economic effects of COVID-19 on the self-employed: The case of Cantabria
El objetivo de este trabajo es analizar y estimar los efectos que la crisis sanitaria desatada por la enfermedad COVID-19 tendrá sobre los trabajadores autónomos en la Comunidad Autónoma de Cantabria a través de la simulación de tres posibles escenarios de contingencia (base, favorable y adverso). Los resultados obtenidos muestran que, si los trabajadores autónomos afectados por las caídas de actividad económica se diesen de baja en la Seguridad Social, esto equivaldría a una caída anual de afiliación estimada en un 2,95% en el escenario base, un 0,43% en el favorable y un 4,48% en el caso más desfavorable.The economic crisis that, as a consequence of the health pandemic, has been unleashed, will affect to a greater extent the weakest groups of our labour market. In this regard, self-employed workers may face a particularly dramatic situation. Thus, due to the lock down measures established to mitigate the advance of the coronavirus, at this time of uncertainty, millions of workers in general, and self-employed in particular, have
had to radically reduce their economic activity, paralyzing numerous projects and/or jobs. Consequently, their income has been suddenly and indefinitely reduced. Given these circumstances, at the present time, it is especially relevant to analyse the effects that COVID-19 is generating on employment and, more particularly, on the group of self-employed workers. Therefore, the objective of this work is to analyse and estimate the effects that the health crisis unleashed by the disease COVID-19 might have on self-employed workers in the Autonomous Community of Cantabria through the simulation of three possible contingency scenarios: base, favourable and adverse
Microbial colonization and resistome dynamics in food processing environments of a newly opened pork cutting industry during 1.5 years of activity
Artículo versión publicadaBackground: The microorganisms that inhabit food processing environments (FPE) can strongly influence the
associated food quality and safety. In particular, the possibility that FPE may act as a reservoir of antibiotic-resistant
microorganisms, and a hotspot for the transmission of antibiotic resistance genes (ARGs) is a concern in meat
processing plants. Here, we monitor microbial succession and resistome dynamics relating to FPE through a
detailed analysis of a newly opened pork cutting plant over 1.5 years of activity.
Results: We identified a relatively restricted principal microbiota dominated by Pseudomonas during the first 2
months, while a higher taxonomic diversity, an increased representation of other taxa (e.g., Acinetobacter,
Psychrobacter), and a certain degree of microbiome specialization on different surfaces was recorded later on. An
increase in total abundance, alpha diversity, and β-dispersion of ARGs, which were predominantly assigned to
Acinetobacter and associated with resistance to certain antimicrobials frequently used on pig farms of the region,
was detected over time. Moreover, a sharp increase in the occurrence of extended-spectrum β-lactamase-
producing Enterobacteriaceae and vancomycin-resistant Enterococcaceae was observed when cutting activities
started. ARGs associated with resistance to β-lactams, tetracyclines, aminoglycosides, and sulphonamides frequently
co-occurred, and mobile genetic elements (i.e., plasmids, integrons) and lateral gene transfer events were mainly
detected at the later sampling times in drains.
Conclusions: The observations made suggest that pig carcasses were a source of resistant bacteria that then
colonized FPE and that drains, together with some food-contact surfaces, such as equipment and table surfaces,
represented a reservoir for the spread of ARGs in the meat processing facility.S
Simulación avanzada en la docencia práctica de la signatura Pediatría
Depto. de Salud Pública y Materno - InfantilFac. de MedicinaFALSEsubmitte
Borderline Intellectual Functioning: Consensus and good practice guidelines
Objectives: To elaborate a conceptual framework and to establish consensus guidelines.
Method: A mixed qualitative methodology, including frame analysis and nominal groups techniques, was used. The literature was extensively reviewed in evidence based medical databases,
scientific publications, and the grey literature. This information was studied and a framing
document was prepared.
Results: Scientific publications covering BIF are scarce. The term that yields a bigger number
of results is ‘‘Borderline Intelligence’’. The Working Group detected a number of areas in which
consensus was needed and wrote a consensus document covering the conclusions of the experts
and the framing document.
Conclusions: It is a priority to reach an international consensus about the BIF construct and
its operative criteria, as well as to develop specific tools for screening and diagnosis. It is also
necessary to define criteria that enable its incidence and prevalence. To know what interventions are the most efficient, and what are the needs of this population, is vital to implement
an integral model of care centred on the individual
Standard comparison of local mental health care systems in eight European countries
There is a need of more quantitative standardised data to compare local Mental Health Systems (MHSs) across international jurisdictions. Problems related to terminological variability and commensurability in the evaluation of services hamper like-with-like comparisons and hinder the development of work in this area. This study was aimed to provide standard assessment and comparison of MHS in selected local areas in Europe, contributing to a better understanding of MHS and related allocation of resources at local level and to lessen the scarcity in standard service comparison in Europe. This study is part of the Seventh Framework programme REFINEMENT (Research on Financing Systems’ Effect on the Quality of Mental Health Care in Europe) project.The REFINEMENT project has received funding from
the European Commission under the Seventh
Framework Programme (7FP) and lies within the
Specific Programme ‘Cooperation’ – Theme ‘Health’:
HEALTH.2010.3.2–1: Financing systems’ effect on
quality of health care. Duration: 1 January 2011 to 31
December 2013. 7FP. Project number: 261459