8 research outputs found

    Medidas de controlo vetorial de mosquitos em caso de surtos de arboviroses

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    This paper proposes developing monitoring and control strategies with regard to various species of mosquitoes well- established in the Iberian Peninsula based on their ecological characteristics for two different scenarios of arbovirus outbreaks: One for controlling Aedes albopictus as a vector transmitting dengue, zika and chikungunya in urban environments and the other for keeping in check the Culicinae species linked to the transmission of the West Nile virus in rural and peri-urban environments. These entomological monitoring and control plans are based on experiments conducted in different Spanish provinces over the past few years. The results of the control treatments carried out and the relevance of the coordination and cooperation among public and private entities are discussed herein in detail.En el presente artículo se plantea el desarrollo de estrategias de vigilancia y control de diversas especies de mosquitos asentados en la Península Ibérica, basados en sus características ecológicas, para dos escenarios diferenciados de brotes de arbovirosis: fundamentalmente para el control de Aedes albopictus como vector transmisor en entornos urbanos (dengue, zika y chikungunya) y, en segundo lugar, el control de especies de culicinos ligados al medio rural y periurbano (virus West Nile). Estos planes de vigilancia y control entomológico se basan en experiencias llevadas a cabo en diferentes provincias españolas a lo largo de los últimos años. El resultado de los tratamientos de control realizados y la relevancia de la coordinación y cooperación entre entidades públicas y privadas, se discuten con detalle en el presente artículo.Este artigo propõe o desenvolvimento de estratégias de vigilância e controlo de várias espécies de mosquitos instaladas na Península Ibérica, com base nas suas características ecológicas, para dois cenários distintos de surto de arboviroses: fundamentalmente para o controle de Aedes albopictus como vetor transmissor em ambientes urbanos (dengue, zika e chikungunya) e, em segundo lugar, o controlo de espécies de culicídeos ligados aos meios rurais e periurbanos (vírus do Nilo Ocidental). Estes planos de vigilância e controle entomológico baseiam-se em experiências realizadas em diferentes províncias espanholas nos últimos anos. O resultado dos tratamentos de controlo efetuados e a relevância da coordenação e cooperação entre entidades públicas e privadas são discutidos em pormenor neste artigo

    Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

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    The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

    Modelado de emisiones de partĂ­culas de autobuses urbanos

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    Air pollution is an important problem in large cities due to the high number of vehicles that daily circulate through them. The objective of this work is to show the results of the predictions made for particle emissions of buses with data mining models. The database comes from tests carried out in real conditions on buses of the Municipal Transport Company of the city of Madrid. The Random Forests of R [1] was used for the analysis and generation of models. The sequence of the particle mass flow curve with respect to the bus speed curve was studied to define the dynamic structure of the series analyzed. Once the time lags between the two curves were defined, simple models were simulated to determine the subsets of kinematic variables that show better results (based on the values of MSE-OOB and variability explained), and later, complete models were created by adding subsets of kinematic variables chosen, the rest of available variables (environmental and load status of the bus). The choice of the final model was made based on the variability explained, the MSE-OOB and the characteristic parameters of the errors. The accuracy of model predictions was measured with the MSE and MAPE statistics. Finally, the detailed analysis of the chosen model is carried out with the importance of the variables, the distribution of the error and the confidence intervals for the predictions generated. ----------RESUMEN---------- La contaminaciĂłn del aire es un problema importante en las grandes ciudades debido al elevado nĂșmero de vehĂ­culos que circulan por ellas a diario. El objetivo de este trabajo es mostrar los resultados de las predicciones realizadas para emisiones de partĂ­culas de autobuses con modelos de minerĂ­a de datos. La base de datos proviene de ensayos realizados en condiciones reales en autobuses de la Empresa Municipal de Transportes de la ciudad de Madrid. Para el anĂĄlisis y la generaciĂłn de modelos se utilizĂł la herramienta estadĂ­stica Random Forests de R [1]. Se estudiĂł la secuencia de la curva de caudal mĂĄsico de partĂ­culas con respecto a la curva de velocidad del bus para definir la estructura dinĂĄmica de las series analizadas. Definidos los desfases temporales entre las dos curvas se simularon modelos sencillos para determinar los subconjuntos de variables cinemĂĄticas que presentan mejores resultados (en funciĂłn de los valores de MSE-OOB y variabilidad explicada) y, posteriormente, se crearon modelos completos añadiendo a los subconjuntos de variables cinemĂĄticas elegidas, el resto de variables disponibles (ambientales y estado de carga del autobĂșs). La elecciĂłn del modelo final se realizĂł en funciĂłn de la variabilidad explicada, el MSE-OOB y los parĂĄmetros caracterĂ­sticos de los errores. La precisiĂłn de las predicciones del modelo se midiĂł con los estadĂ­sticos MSE y MAPE. Finalmente se realizĂł el anĂĄlisis en detalle del modelo elegido con la importancia de las variables, la distribuciĂłn del error y los intervalos de confianza para las predicciones generadas

    Novel genes and sex differences in COVID-19 severity.

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    Here we describe the results of a genome-wide study conducted in 11 939 COVID-19 positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (p < 5x10-8) was crossed for variants in 3p21.31 and 21q22.11 loci only among males (p = 1.3x10-22 and p = 8.1x10-12, respectively), and for variants in 9q21.32 near TLE1 only among females (p = 4.4x10-8). In a second phase, results were combined with an independent Spanish cohort (1598 COVID-19 cases and 1068 population controls), revealing in the overall analysis two novel risk loci in 9p13.3 and 19q13.12, with fine-mapping prioritized variants functionally associated with AQP3 (p = 2.7x10-8) and ARHGAP33 (p = 1.3x10-8), respectively. The meta-analysis of both phases with four European studies stratified by sex from the Host Genetics Initiative confirmed the association of the 3p21.31 and 21q22.11 loci predominantly in males and replicated a recently reported variant in 11p13 (ELF5, p = 4.1x10-8). Six of the COVID-19 HGI discovered loci were replicated and an HGI-based genetic risk score predicted the severity strata in SCOURGE. We also found more SNP-heritability and larger heritability differences by age (<60 or ≄ 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided

    Combined dark matter searches towards dwarf spheroidal galaxies with Fermi-LAT, HAWC, H.E.S.S., MAGIC, and VERITAS

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    Cosmological and astrophysical observations suggest that 85\% of the total matter of the Universe is made of Dark Matter (DM). However, its nature remains one of the most challenging and fundamental open questions of particle physics. Assuming particle DM, this exotic form of matter cannot consist of Standard Model (SM) particles. Many models have been developed to attempt unraveling the nature of DM such as Weakly Interacting Massive Particles (WIMPs), the most favored particle candidates. WIMP annihilations and decay could produce SM particles which in turn hadronize and decay to give SM secondaries such as high energy Îł\gamma rays. In the framework of indirect DM search, observations of promising targets are used to search for signatures of DM annihilation. Among these, the dwarf spheroidal galaxies (dSphs) are commonly favored owing to their expected high DM content and negligible astrophysical background. In this work, we present the very first combination of 20 dSph observations, performed by the Fermi-LAT, HAWC, H.E.S.S., MAGIC, and VERITAS collaborations in order to maximize the sensitivity of DM searches and improve the current results. We use a joint maximum likelihood approach combining each experiment's individual analysis to derive more constraining upper limits on the WIMP DM self-annihilation cross-section as a function of DM particle mass. We present new DM constraints over the widest mass range ever reported, extending from 5 GeV to 100 TeV thanks to the combination of these five different Îł\gamma-ray instruments

    Multimessenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A

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