149 research outputs found

    Healthcare workers as parents: attitudes toward vaccinating their children against pandemic influenza A/H1N1

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Both the health care workers (HCWs) and children are target groups for pandemic influenza vaccination. The coverage of the target populations is an important determinant for impact of mass vaccination. The objective of this study is to determine the attitudes of HCWs as parents, toward vaccinating their children with pandemic influenza A/H1N1 vaccine.</p> <p>Methods</p> <p>A cross-sectional questionnaire survey was conducted with health care workers (HCWs) in a public hospital during December 2009 in Istanbul. All persons employed in the hospital with or without a health-care occupation are accepted as HCW. The HCWs who are parents of children 6 months to 18 years of age were included in the study. Pearson's chi-square test and logistic regression analysis was applied for the statistical analyses.</p> <p>Results</p> <p>A total of 389 HCWs who were parents of children aged 6 months-18 years participated study. Among all participants 27.0% (n = 105) reported that themselves had been vaccinated against pandemic influenza A/H1N1. Two third (66.1%) of the parents answered that they will not vaccinate their children, 21.1% already vaccinated and 12.9% were still undecided. Concern about side effect was most reported reason among who had been not vaccinated their children and among undecided parents. The second reason for refusing the pandemic vaccine was concerns efficacy of the vaccine. Media was the only source of information about pandemic influenza in nearly one third of HCWs. Agreement with vaccine safety, self receipt of pandemic influenza A/H1N1 vaccine, and trust in Ministry of Health were found to be associated with the positive attitude toward vaccinating their children against pandemic influenza A/H1N1.</p> <p>Conclusions</p> <p>Persuading parents to accept a new vaccine seems not be easy even if they are HCWs. In order to overcome the barriers among HCWs related to pandemic vaccines, determination of their misinformation, attitudes and behaviors regarding the pandemic influenza vaccination is necessary. Efforts for orienting the HCWs to use evidence based scientific sources, rather than the media for information should be considered by the authorities.</p

    Biomarker-Based HIV Incidence in a Community Sample of Men Who Have Sex with Men in Paris, France

    Get PDF
    BACKGROUND: Population-based estimates of HIV incidence in France have revealed that men who have sex with men (MSM) are the most affected population and contribute to nearly half of new infections each year. We sought to estimate HIV incidence among sexually active MSM in Paris gay community social venues. METHODOLOGY/ PRINCIPAL FINDINGS: A cross-sectional survey was conducted in 2009 in a sample of commercial venues such as bars, saunas and backrooms. We collected a behavioural questionnaire and blood sample. Specimens were tested for HIV infection and positive specimens then tested for recent infection by the enzyme immunoassay for recent HIV-1 infection (EIA-RI). We assessed the presence of antiretroviral therapy among infected individuals to rule out treated patients in the algorithm that determined recent infection. Biomarker-based cross-sectional incidence estimates were calculated. We enrolled 886 MSM participants among which 157 (18%) tested HIV positive. In positive individuals who knew they were infected, 75% of EIA-RI positive results were due to ART. Of 157 HIV positive specimens, 15 were deemed to be recently infected. The overall HIV incidence was estimated at 3.8% person-years (py) [95%CI: 1.5-6.2]. Although differences were not significant, incidence was estimated to be 3.5% py [0.1-6.1] in men having had a negative HIV test in previous year and 4.8% py [0.1-10.6] in men having had their last HIV test more than one year before the survey, or never tested. Incidence was estimated at 4.1% py [0-8.3] in men under 35 years and 2.5% py [0-5.4] in older men. CONCLUSIONS/ SIGNIFICANCE: This is the first community-based survey to estimate HIV incidence among MSM in France. It includes ART detection and reveals a high level of HIV transmission in sexually active individuals, despite a high uptake of HIV testing. These data call for effective prevention programs targeting MSM engaged in high-risk behaviours

    CC9 Livestock-Associated Staphylococcus aureus Emerges in Bloodstream Infections in French Patients Unconnected With Animal Farming

    Get PDF
    We report 4 bloodstream infections associated with CC9 agr type II Staphylococcus aureus in individuals without animal exposure. We demonstrate, by microarray analysis, the presence of egc cluster, fnbA, cap operon, lukS, set2, set12, splE, splD, sak, epiD, and can, genomic features associated with a high virulence potential in human

    The future problem solving program international: an intervention to promote creative skills in portuguese adolescents

    Get PDF
    The Future Problem Solving Program International (FPSPI) is an internationally applied educational program that involves young people. Its theoretical foundation is both the Creative Problem Solving Model and the Futurist Thinking. It aims to promote creative and critical thinking through a futurist approach to problems. This study intended to analyze the effects of the program on creative skills evaluated by the Torrance Tests of Creative Thinking (Figural Version). The participants’ perceptions of the efficacy of the program were also assessed. This intervention was carried out with 131 adolescents over a period of 7 months in an extra-curricular context. The evaluation of the program takes into account periods both before and after interventions, using similar experimental and control groups. The results showed significant statistical differences for the all skills studied and very positive perceptions of the efficacy of FPSPI. Two significant gender differences in creative performance were also found. The results are described and discussed in order to promote awareness for future research concerning this program(undefined)info:eu-repo/semantics/publishedVersio

    Antiretroviral-naive and -treated HIV-1 patients can harbour more resistant viruses in CSF than in plasma

    Get PDF
    Objectives The neurological disorders in HIV-1-infected patients remain prevalent. The HIV-1 resistance in plasma and CSF was compared in patients with neurological disorders in a multicentre study. Methods Blood and CSF samples were collected at time of neurological disorders for 244 patients. The viral loads were >50 copies/mL in both compartments and bulk genotypic tests were realized. Results On 244 patients, 89 and 155 were antiretroviral (ARV) naive and ARV treated, respectively. In ARV-naive patients, detection of mutations in CSF and not in plasma were reported for the reverse transcriptase (RT) gene in 2/89 patients (2.2%) and for the protease gene in 1/89 patients (1.1%). In ARV-treated patients, 19/152 (12.5%) patients had HIV-1 mutations only in the CSF for the RT gene and 30/151 (19.8%) for the protease gene. Two mutations appeared statistically more prevalent in the CSF than in plasma: M41L (P = 0.0455) and T215Y (P = 0.0455). Conclusions In most cases, resistance mutations were present and similar in both studied compartments. However, in 3.4% of ARV-naive and 8.8% of ARV-treated patients, the virus was more resistant in CSF than in plasma. These results support the need for genotypic resistance testing when lumbar puncture is performe

    Extending MAM5 Meta-Model and JaCalIVE Framework to Integrate Smart Devices from Real Environments

    Full text link
    [EN] This paper presents the extension of a meta-model (MAM5) and a framework based on the model (JaCalIVE) for developing intelligent virtual environments. The goal of this extension is to develop augmented mirror worlds that represent a real and virtual world coupled, so that the virtual world not only reflects the real one, but also complements it. A new component called a smart resource artifact, that enables modelling and developing devices to access the real physical world, and a human in the loop agent to place a human in the system have been included in the meta-model and framework. The proposed extension of MAM5 has been tested by simulating a light control system where agents can access both virtual and real sensor/actuators through the smart resources developed. The results show that the use of real environment interactive elements (smart resource artifacts) in agent-based simulations allows to minimize the error between simulated and real system.This work is partially supported by the TIN2009-13839-C03-01, TIN2011-27652-C03-01, 547CSD2007-00022, COST Action IC0801, FP7-294931 and the FPI grant AP2013-01276 548 awarded to Jaime-Andres Rincon.Rincón Arango, JA.; Poza Luján, JL.; Julian Inglada, VJ.; Posadas Yagüe, JL.; Carrascosa Casamayor, C. (2016). Extending MAM5 Meta-Model and JaCalIVE Framework to Integrate Smart Devices from Real Environments. PLoS ONE. 11(2):1-27. https://doi.org/10.1371/journal.pone.0149665S127112Luck, M., & Aylett, R. (2000). Applying artificial intelligence to virtual reality: Intelligent virtual environments. Applied Artificial Intelligence, 14(1), 3-32. doi:10.1080/088395100117142Barella A, Ricci A, Boissier O, Carrascosa C. MAM5: Multi-Agent Model For Intelligent Virtual Environments. In: 10th European Workshop on Multi-Agent Systems (EUMAS 2012); 2012. p. 16–30.Omicini, A., Ricci, A., & Viroli, M. (2008). Artifacts in the A&A meta-model for multi-agent systems. Autonomous Agents and Multi-Agent Systems, 17(3), 432-456. doi:10.1007/s10458-008-9053-xYu Ch, Nagpal R. Distributed Consensus and Self-Adapting Modular Robots. In: IROS-2008 workshop on Self-Reconfigurable Robots and Applications; 2008. Available from: http://www.isi.edu/robots/iros08wksp/Papers/iros08-wksp-paper.pdfLidoris G, Buss M. A Multi-Agent System Architecture for Modular Robotic Mobility Aids. In: European Robotics Symposium 2006; 2006. p. 15–26. Available from: http://link.springer.com/chapter/10.1007/11681120_2Yu, C.-H., & Nagpal, R. (2010). A Self-adaptive Framework for Modular Robots in a Dynamic Environment: Theory and Applications. The International Journal of Robotics Research, 30(8), 1015-1036. doi:10.1177/0278364910384753Barbero A, González-Rodríguez MS, de Lara J, Alfonseca M. Multi-Agent Simulation of an Educational Collaborative Web System. In: European Simulation and Modelling Conference; 2007. Available from: http://sistemas-humano-computacionais.wikidot.com/local--files/capitulo:colaboracao-auxiliada-por-computador/%5BBarbero%202007%5D%20Multi-Agent%20Simulation%20of%20an%20Educational%20Collaborative%20Web%20System.pdfRanathunga S, Cranefield S, Purvis MK. Interfacing a cognitive agent platform with a virtual world: a case study using Second Life. In: AAMAS; 2011. p. 1181–1182. Available from: http://www.aamas-conference.org/Proceedings/aamas2011/papers/B20.pdfAndreoli R, De Chiara R, Erra U, Scarano V. Interactive 3d environments by using videogame engines. In: Information Visualisation, 2005. Proceedings. Ninth International Conference on. IEEE; 2005. p. 515–520. Available from: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1509124Dignum, F. (2011). Agents for games and simulations. Autonomous Agents and Multi-Agent Systems, 24(2), 217-220. doi:10.1007/s10458-011-9169-2dos Santos C, Osorio F. AdapTIVE: an intelligent virtual environment and its application in e-commerce. In: Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International; 2004. p. 468–473 vol.1.Kazemi, A., Fazel Zarandi, M. H., & Moattar Husseini, S. M. (2008). A multi-agent system to solve the production–distribution planning problem for a supply chain: a genetic algorithm approach. The International Journal of Advanced Manufacturing Technology, 44(1-2), 180-193. doi:10.1007/s00170-008-1826-5Dimuro GP, Costa ACdR, Gonçalves LV, Hubner A. Interval-valued Hidden Markov Models for recognizing personality traits in social exchanges in open multiagent systems. Repositório Institucional da Universidade Federal do Rio Grande. 2008;.Woźniak, M., Graña, M., & Corchado, E. (2014). A survey of multiple classifier systems as hybrid systems. Information Fusion, 16, 3-17. doi:10.1016/j.inffus.2013.04.006Jia L, Zhenjiang M. Entertainment Oriented Intelligent Virtual Environment with Agent and Neural Networks. In: IEEE International Workshop on Haptic, Audio and Visual Environments and Games, 2007. HAVE 2007; 2007. p. 90–95.Corchado, E., Woźniak, M., Abraham, A., de Carvalho, A. C. P. L. F., & Snášel, V. (2014). Recent trends in intelligent data analysis. Neurocomputing, 126, 1-2. doi:10.1016/j.neucom.2013.07.001Ricci A, Viroli M, Omicini A. Give agents their artifacts: the A&amp;A approach for engineering working environments in MAS. In: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems; 2007. p. 150. Available from: http://dl.acm.org/citation.cfm?id=1329308Barella, A., Valero, S., & Carrascosa, C. (2009). JGOMAS: New Approach to AI Teaching. IEEE Transactions on Education, 52(2), 228-235. doi:10.1109/te.2008.925764Behrens, T. M., Hindriks, K. V., & Dix, J. (2010). Towards an environment interface standard for agent platforms. Annals of Mathematics and Artificial Intelligence, 61(4), 261-295. doi:10.1007/s10472-010-9215-9Ricci A, Viroli M, Omicini A. A general purpose programming model &amp; technology for developing working environments in MAS. In: 5th International Workshop Programming Multi-Agent Systems(PROMAS 2007); 2007. p. 54–69. Available from: http://lia.deis.unibo.it/~ao/pubs/pdf/2007/promas.pdfChee-Yee Chong, & Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 1247-1256. doi:10.1109/jproc.2003.814918Kushner D. The making of arduino. IEEE Spectrum. 2011;26.Schmidt, A., & van Laerhoven, K. (2001). How to build smart appliances? IEEE Personal Communications, 8(4), 66-71. doi:10.1109/98.944006Salzmann C, Gillet D. Smart device paradigm standardization for online labs. In: 4th IEEE Global Engineering Education Conference (EDUCON); 2013.Gonzalez-Jorge, H., Riveiro, B., Vazquez-Fernandez, E., Martínez-Sánchez, J., & Arias, P. (2013). Metrological evaluation of Microsoft Kinect and Asus Xtion sensors. Measurement, 46(6), 1800-1806. doi:10.1016/j.measurement.2013.01.011Cook, D. J., & Das, S. K. (2007). How smart are our environments? An updated look at the state of the art. Pervasive and Mobile Computing, 3(2), 53-73. doi:10.1016/j.pmcj.2006.12.001Compton, M., Barnaghi, P., Bermudez, L., García-Castro, R., Corcho, O., Cox, S., … Taylor, K. (2012). The SSN ontology of the W3C semantic sensor network incubator group. Journal of Web Semantics, 17, 25-32. doi:10.1016/j.websem.2012.05.003Munera, E., Poza-Lujan, J.-L., Posadas-Yagüe, J.-L., Simó-Ten, J.-E., & Noguera, J. (2015). Dynamic Reconfiguration of a RGBD Sensor Based on QoS and QoC Requirements in Distributed Systems. Sensors, 15(8), 18080-18101. doi:10.3390/s150818080Castrillón-Santan, M., Lorenzo-Navarro, J., & Hernández-Sosa, D. (2014). Conteo de personas con un sensor RGBD comercial. Revista Iberoamericana de Automática e Informática Industrial RIAI, 11(3), 348-357. doi:10.1016/j.riai.2014.05.006Rincon JA, Julian V, Carrascosa C. An Emotional-based Hybrid Application for Human-Agent Societies. In: 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. vol. 368; 2015. p. 203–214.Rincon JA, Julian V, Carrascosa C. Applying a Social Emotional Model in Human-Agent Societies. In: Workshop WIHAS’15. Intelligent Human-Agent Societies‥ vol. 524 of CCIS; 2015. p. 377–388.Leccese, F., Cagnetti, M., & Trinca, D. (2014). A Smart City Application: A Fully Controlled Street Lighting Isle Based on Raspberry-Pi Card, a ZigBee Sensor Network and WiMAX. Sensors, 14(12), 24408-24424. doi:10.3390/s141224408Mateevitsi V, Haggadone B, Leigh J, Kunzer B, Kenyon RV. Sensing the environment through SpiderSense. In: Proceedings of the 4th Augmented Human International Conference. ACM; 2013. p. 51–57.Kavitha R, Thiyagarajan N. Distributed Intelligent Street Lamp Monitoring and Control System Based on Zigbee. International Journal of Science and Research (IJSR) PP; p. 2319–7064.Pan, M.-S., Yeh, L.-W., Chen, Y.-A., Lin, Y.-H., & Tseng, Y.-C. (2008). A WSN-Based Intelligent Light Control System Considering User Activities and Profiles. IEEE Sensors Journal, 8(10), 1710-1721. doi:10.1109/jsen.2008.2004294Villarrubia, G., De Paz, J., Bajo, J., & Corchado, J. (2014). Ambient Agents: Embedded Agents for Remote Control and Monitoring Using the PANGEA Platform. Sensors, 14(8), 13955-13979. doi:10.3390/s14081395
    corecore