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1Academic Journal
المؤلفون: Sarah Gildea, Marie Garvey, Pamela Lyons, Rachel Lyons, Jacinta Gahan, Cathal Dominic Walsh, Ann Cullinane
مصطلحات موضوعية: equine influenza Clade 2, TaqMan RT-PCR, vaccination breakdown, thoroughbred racehorses
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2Academic Journal
المؤلفون: Sarah Gildea, Maria Jose Sanchez Higgins, Gillian P. Johnson, Cathal Dominic Walsh, Ann Cullinane
مصطلحات موضوعية: herpesvirus, influenza, racehorse, vaccination, concurrent
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3
المؤلفون: UCC, Benjet, Corina, Carrasco , Nayib, Kessler, Ronald, Alan , Kazdin, Pim , Cuijpers, Yesica , Albor, Carlos , Contreras-Ibáñez, Ma Socorro , Durán González, Sarah , Gildea, Noé , González, José Benjamín , Guerrero López, Alex , Luedtke, Maria Elena, Medina-Mora5, Jorge , Palacios, Derek , Richards, Alicia , Salamanca-Sanabria, Nancy , Sampson
مصطلحات موضوعية: Depresión, Ansiedad, Terapia Cognitivo Conductual, Estudiantes Universitarios, Depression, Anxiety, Cognitive Behavioral Therapy, University Students
وصف الملف: 1-19
Relation: https://pubmed.ncbi.nlm.nih.gov/35658942/; TRIALS; Auerbach RP, Alonso J, Axinn WG, Cuijpers P, Ebert DD, Green JG, et al. Mental disorders among college students in the World Health Organization World Mental Health Surveys. Psychol Med. 2016;46(14):2955–70. https://doi. org/10.1017/S0033291716001665.; Cuijpers P, Auerbach RP, Benjet C, Bruffaerts R, Ebert D, Karyotaki E, et al. Introduction to the special issue: The WHO World Mental Health International College Student (WMH-ICS) initiative. Int J Methods Psychiatr Res. 2019;28(2):e1762. https://doi.org/10.1002/mpr.1762.; Auerbach RP, Mortier P, Bruffaerts R, Alonso J, Benjet C, Cuijpers P, et al. Mental disorder comorbidity and suicidal thoughts and behaviors in the World Health Organization World Mental Health Surveys International College Student initiative. Int J Methods Psychiatr Res. 2019;28(2):e1752. https://doi.org/10.1002/mpr.1752.; Alonso J, Vilagut G, Mortier P, Auerbach RP, Bruffaerts R, Cuijpers P, et al. The role impairment associated with mental disorder risk profiles in the WHO World Mental Health International College Student Initiative. Int J Methods Psychiatr Res. 2019;28(2):e1750. https://doi.org/10.1002/mpr.1750.; Bruffaerts R, Mortier P, Auerbach RP, Alonso J, Hermosillo De la Torre AE, Cuijpers P, et al. Lifetime and 12-month treatment for mental disorders and suicidal thoughts and behaviors among first year college students. Int J Methods Psychiatr Res. 2019;28(2):e1764. https://doi.org/10.1002/mpr.1764.; Alonso J, Liu Z, Evans-Lacko S, Sadikova E, Sampson N, Chatterji S, et al. Treatment gap for anxiety disorders is global: Results of the World Mental Health Surveys in 21 countries. Depress Anxiety. 2018;35(3):195–208. https:// doi.org/10.1002/da.22711.; Degenhardt L, Glantz M, Evans-Lacko S, Sadikova E, Sampson N, Thornicroft G, et al. Estimating treatment coverage for people with substance use disorders: an analysis of data from the World Mental Health Surveys. World Psychiatry. 2017;16(3):299–307. https://doi.org/10.1002/wps.20457.; ThornicroftG,ChatterjiS,Evans-LackoS,GruberM,SampsonN,Aguilar-GaxiolaS, etal.Undertreatmentofpeoplewithmajor depressivedisorderin21countries.BrJ Psychiatry.2017;210(2):119–24. https://doi.org/10.1192/bjp.bp.116.188078.; Evans-Lacko S, Thornicroft G. Viewpoint: WHO World Mental Health Surveys International College Student initiative: Implementation issues in low- and middle-income countries. Int J Methods Psychiatr Res. 2019;28(2):e17566. https://doi.org/10.1002/mpr.1756.; Mullan F, Frehywot S, Omaswa F, Buch E, Chen C, Greysen SR, et al. Medical schools in sub-Saharan Africa. Lancet. 2011;377(9771):1113–21. https://doi. org/10.1016/s0140-6736(10)61961-7.; Schendel R, McCowan T. Expanding higher education systems in low- and middle-income countries: the challenges of equity and quality. High Educ. 2016;72(4):407–11. https://doi.org/10.1007/s10734-016-0028-6.; ShamsuddinK,FadzilF,IsmailWSW,ShahSA,OmarK,MuhammadNA,etal. Correlatesofdepression,anxietyandstressamongMalaysianuniversitystudents. AsianJPsychiatr.2013;6(4):318–23. https://doi.org/10.1016/j.ajp.2013.01.014.; Ibrahim AK, Kelly SJ, Adams CE, Glazebrook C. A systematic review of studies of depression prevalence in university students. J Psychiatr Res. 2013;47(3):391–400. https://doi.org/10.1016/j.jpsychires.2012.11.015.; Brosnan C, Southgate E, Outram S, Lempp H, Wright S, Saxby T, et al. Experiences of medical students who are first in family to attend university. Med Educ. 2016;50(8):842–51. https://doi.org/10.1111/medu.12995.; Southgate E, Brosnan C, Lempp H, Kelly B, Wright S, Outram S, et al. Travels in extreme social mobility: how first-in-family students find their way into and through medical education. Crit Stud Educ. 2017;58(2):242–60. https:// doi.org/10.1080/17508487.2016.1263223.; Stebleton MJ, Soria KM, Huesman RL Jr. First-generation students’ sense of belonging, mental health, and use of counseling services at public research universities. J Coll Couns. 2014;17(1):6–20. https://doi.org/10.1002/j.2161-1 882.2014.00044.x.; Covarrubias R, Romero A, Trivelli M. Family achievement guilt and mental well-being of college students. J Child Fam Stud. 2015;24(7):2031–7. https:// doi.org/10.1007/s10826-014-0003-8.; Hakim JG, Chidzonga MM, Borok MZ, Nathoo KJ, Matenga J, Havranek E, et al. Medical education partnership initiative (MEPI) in Zimbabwe: outcomes and challenges. Glob Health Sci Pract. 2018;6(1):82–92. https://doi. org/10.9745/ghsp-d-17-00052.; Palacios JE, Richards D, Palmer R, Coudray C, Hofmann SG, Palmieri PA, et al. Supported internet-delivered cognitive behavioral therapy programs for depression, anxiety, and stress in university students: Open, non-randomised trial of acceptability, effectiveness, and satisfaction. JMIR Ment Health. 2018; 5(4):e11467. https://doi.org/10.2196/11467.; ArjadiR,NautaMH,ChowdharyN,BocktingCLH.Asystematicreviewofonline interventionsformentalhealthinlowandmiddleincomecountries:aneglected field.GlobMentHealth.2015;2:e12. https://doi.org/10.1017/gmh.2015.10.; Fu Z, Burger H, Arjadi R, Bockting CL. Effectiveness of digital psychological interventions for mental health problems in low-income and middleincome countries: a systematic review and meta-analysis. Lancet Psychiatry. 2020;7(10):851–64. https://doi.org/10.1016/S2215-0366(20)30256-X.; Jiménez-Molina Á, Franco P, Martínez V, Martínez P, Rojas G, Araya R. Internet-based interventions for the prevention and treatment of mental disorders in Latin America: a scoping review. Front Psychiatry. 2019;10:664. https://doi.org/10.3389/fpsyt.2019.00664.; Harrer M, Adam SH, Baumeister H, Cuijpers P, Karyotaki E, Auerbach RP, et al. Internet interventions for mental health in university students: a systematic review and meta-analysis. Int J Methods Psychiatr Res. 2019;28(2): e1759. https://doi.org/10.1002/mpr.1759.; Harrer M, Adam SH, Fleischmann RJ, Baumeister H, Auerbach R, Bruffaerts R, et al. Effectiveness of an internet- and app-based intervention for college students with elevated stress: randomized controlled trial. J Med Internet Res. 2018;20(4):e136. https://doi.org/10.2196/jmir.9293.; Salamanca-Sanabria A, Richards D, Timulak L, Connell S, Mojica-Perilla M, Parra-Villa Y, et al. A culturally adapted cognitive behavioral internetdelivered intervention for depressive symptoms: randomized controlled trial. JMIR Ment Health. 2020;6(12):1–20. https://doi.org/10.2196/13392.; Norton PJ, Roberge P. Transdiagnostic therapy. Psychiatr Clin North Am. 2017;40(4):675–87. https://doi.org/10.1016/j.psc.2017.08.003.; Richards D, Enrique A, Eilert N, Franklin M, Palacios J, Duffy D, et al. A pragmatic randomized waitlist-controlled effectiveness and costeffectiveness trial of digital interventions for depression and anxiety. Digital Med. 2020;3:85. https://doi.org/10.1038/s41746-020-0293-8.; NIH National Institute of Mental Health. Strategic Objective 3. 2008. https:// www.nimh.nih.gov/about/strategic-planning-reports/strategic-objective-3. shtml. Accessed 16 Sept. 2019.; Maj M, Stein DJ, Parker G, Zimmerman M, Fava GA, De Hert M, et al. The clinical characterization of the adult patient with depression aimed at personalization of management. World Psychiatry. 2020;19(3):269–93. https://doi.org/10.1002/wps.20771.; Pescosolido BA. Stigma as a mental health policy controversy: positions, options, and strategies for change. In: Goldman H, Frank R, Morrissey J, editors. The Palgrave Handbook of American Mental Health Policy. Cham: Palgrave Macmillan; 2020. p. 543–72. https://doi.org/10.1007/978-3-030-11 908-9_19.; Luedtke AR, van der Laan MJ. Evaluating the impact of treating the optimal subgroup. Stat Methods Med Res. 2017;26(4):1630–40. https://doi.org/10.11 77/0962280217708664.; Kessler RC. The potential of predictive analytics to provide clinical decision support in depression treatment planning. Curr Opin Psychiatry. 2018;31(1): 32–9. https://doi.org/10.1097/yco.0000000000000377.; Cohen ZD, DeRubeis RJ. Treatment selection in depression. Annu Rev Clin Psychol. 2018;14(1):209–36. https://doi.org/10.1146/annurev-clinpsy-050817084746.; Karyotaki E,Efthimiou O,Miguel C, Bermpohl FMG,Furukawa TA, Cuijpers P, et al. Internet-basedcognitivebehavioral therapy for depression:a systematic review and individual patient data network meta-analysis.JAMAPsychiatry. 2021;78(4):361–71.https://doi.org/10.1001/jamapsychiatry.2020.4364.; Huguet A, Rao S, McGrath PJ, Wozney L, Wheaton M, Conrod J, et al. A systematic review of cognitive behavioral therapy and behavioral activation apps for depression. PLoS One. 2016;11(5):e0154248. https://doi.org/10.1371/ journal.pone.0154248.; Coull G, Morris PG. The clinical effectiveness of CBT-based guided self-help interventions for anxiety and depressive disorders: a systematic review. Psychol Med. 2011;41(11):2239–52. https://doi.org/10.1017/s0033291711 000900.; Cuijpers P, Kleiboer A, Karyotaki E, Riper H. Internet and mobile interventions for depression: opportunities and challenges: Cuijpers et al. Depress Anxiety. 2017;34(7):596–602. https://doi.org/10.1002/da.22641.; Newman MG, Szkodny LE, Llera SJ, Przeworski A. A review of technologyassisted self-help and minimal contact therapies for anxiety and depression: Is human contact necessary for therapeutic efficacy? Clin Psychol Rev. 2011; 31(1):89–103. https://doi.org/10.1016/j.cpr.2010.09.008.; Simmonds-Buckley M, Bennion MR, Kellett S, Millings A, Hardy GE, Moore RK. Acceptability and effectiveness of NHS-recommended e-therapies for depression, anxiety, and stress: meta-analysis. J Med Internet Res. 2020; 22(10):e17049. https://doi.org/10.2196/17049; Duffy D, Enrique A, Connell S, Connolly C, Richards D. Internet-delivered cognitive behavior therapy as a prequel to face-to-face therapy for depression and anxiety: a naturalistic observation. Front Psychiatry. 2020;10: 902. https://doi.org/10.3389/fpsyt.2019.00902.; Enrique A, Palacios JE, Ryan H, Richards D. Exploring the relationship between usage and outcomes of an internet-based intervention for individuals with depressive symptoms: secondary analysis of data from a randomized controlled trial. J Med Internet Res. 2019;21(8):e12775. https:// doi.org/10.2196/12775.; Salamanca-Sanabria A, Richards D, Timulak L. Adapting an internet-delivered intervention for depression for a Colombian college student population: an illustration of an integrative empirical approach. Internet Interv. 2019;15:76– 86. https://doi.org/10.1016/j.invent.2018.11.005.; Bo Borghouts J, Eikey E, Mark G, De Leon C, Schueller SM, Schneider M, et al. Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review. J Med Internet Res. 2021;23(3): e24387. https://doi.org/10.2196/24387.; Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13. https://doi.org/10.1 046/j.1525-1497.2001.016009606.x.; Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch Intern Med. 2006;166(10): 1092–7. https://doi.org/10.1001/archinte.166.10.1092.; Kroenke K, Wu J, Yu Z, Bair MJ, Kean J, Stump T, et al. Patient health questionnaire anxiety and depression scale: Initial validation in three clinical trials. Psychosom Med. 2016;78(6):716–27. https://doi.org/10.1097/psy. 0000000000000322.; Plummer F, Manea L, Trepel D, McMillan D. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. Gen Hosp Psychiatry. 2016;39:24–31. https://doi.org/10.1016/j. genhosppsych.2015.11.005.; McMillan D, Gilbody S, Richards D. Defining successful treatment outcome in depression using the PHQ-9: A comparison of methods. J Affect Disord. 2010;127(1–3):122–9. https://doi.org/10.1016/j.jad.2010.04.030.; Zimmerman M, Walsh E, Friedman M, Boerescu DA, Attiullah N. Identifying remission from depression on 3 self-report scales. J Clin Psychiatry. 2017; 78(02):177–83. https://doi.org/10.4088/JCP.16m10641; Sheehan DV, Mancini M, Wang J, Berggren L, Cao H, Dueñas HJ, et al. Assessment of functional outcomes by Sheehan Disability Scale in patients with major depressive disorder treated with duloxetine versus selective serotonin reuptake inhibitors. Hum Psychopharmacol. 2016;31(1):53–63. https://doi.org/10.1002/hup.2500.; Kessler RC, Calabrese JR, Farley PA, Gruber MJ, Jewell MA, Katon W, et al. Composite International Diagnostic Interview screening scales for DSM-IV anxiety and mood disorders. Psychol Med. 2013;43(8):1625–37. https://doi. org/10.1017/s0033291712002334.; Kessler RC, Santiago PN, Colpe LJ, Dempsey CL, First MB, Heeringa SG, et al. Clinical reappraisal of the composite international diagnostic interview screening scales (CIDI-SC) in the army study to assess risk and resilience in servicemembers (army STARRS): Clinical reappraisal of the CIDI-SC in army STARRS. Int J Methods Psychiatr Res. 2013;22(4):303–21. https://doi.org/10.1 002/mpr.1398.; American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5 (5th ed.). Arlington: American Psychiatric Association; 2013.; Spitzer RL. Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. JAMA. 1999;282(18):1737–44. https://doi.org/10.1 001/jama.282.18.1737.; Zuromski KL, Ustun B, Hwang I, Keane TM, Marx BP, Stein MB, et al. Developing an optimal short-form of the PTSD Checklist for DSM-5 (PCL-5). Depress Anxiety. 2019;36(9):790–800. https://doi.org/10.1002/da.22942.; Morin CM, Belleville G, Bélanger L, Ivers H. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601–8. https://doi.org/10.1093/sleep/34.5.601.; Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, et al. The Columbia–suicide severity rating scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. Am J Psychiatry. 2011;168(12):1266–77. https://doi.org/10.1176/appi.a jp.2011.10111704.; Nock MK, Holmberg EB, Photos VI, Michel BD. Self-Injurious Thoughts and Behaviors Interview: development, reliability, and validity in an adolescent sample. Psychol Assess. 2007;19(3):309–17. https://doi.org/10.1037/1040-3 590.19.3.309.; Luedtke A, Sadikova E, Kessler RC. Sample size requirements for multivariate models to predict between-patient differences in best treatments of major depressive disorder. Clin Psychol Sci. 2019;7(3):445–61. https://doi.org/10.11 77/2167702618815466.; Kessler RC, van Loo HM, Wardenaar KJ, Bossarte RM, Brenner LA, Ebert DD, et al. Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder. Epidemiol Psychiatr Sci. 2017;26(1):22–36. https://doi.org/10.1017/S2045796016000020.; Driessen E, Hollon SD. Cognitive behavioral therapy for mood disorders: efficacy, moderators and mediators. Psychiatr Clin North Am. 2010;33(3): 537–55. https://doi.org/10.1016/j.psc.2010.04.005.; Schneider RL, Arch JJ, Wolitzky-Taylor KB. The state of personalized treatment for anxiety disorders: a systematic review of treatment moderators. Clin Psychol Rev. 2015;38:39–54. https://doi.org/10.1016/j.cpr.2 015.02.004.; Jakubovski E, Bloch MH. Anxiety disorder-specific predictors of treatment outcome in the Coordinated Anxiety Learning and Management (CALM) Trial. Psychiatr Q. 2016;87(3):445–64. https://doi.org/10.1007/s11126-015-93 99-6.; Webb CA, Rosso IM, Rauch SL. Internet-based cognitive-behavioral therapy for depression: current progress and future directions. Harv Rev Psychiatry. 2017;25(3):114–22. https://doi.org/10.1097/HRP.0000000000000139.; Lowe B, Spitzer RL, Grafe K, Kroenke K, Quenter A, Zipfel S, et al. Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians’ diagnoses. J Affect Disord. 2004;78(2): 131–40. https://doi.org/10.1016/s0165-0327(02)00237-9.; Scott KM, Pd J, Stein DJ, Kessler RC, editors. Mental disorders around the world: facts and figures from the WHO World Mental Health Surveys. New York: Cambridge University Press; 2018. https://doi.org/10.1017/97813163361 68.; Kessler RC, Akiskal HS, Angst J, Guyer M, Hirschfeld RMA, Merikangas KR, et al. Validity of the assessment of bipolar spectrum disorders in the WHO CIDI 3.0. J Affect Disord. 2006;96(3):259–69. https://doi.org/10.1016/j.jad.2006. 08.018.; Kessler RC, Adler LA, Gruber MJ, Sarawate CA, Spencer T, Van Brunt DL. Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members. Int J Methods Psychiatr Res. 2007;16(2):52–65. https://doi.org/10.1002/mpr.208; Kessler RC, Ustün TB. The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res. 2004;13(2):93–121. doi: 0.1002/mpr.168; Norman CD, Skinner HA. EHEALS: the eHealth literacy scale. J Med Internet Res. 2006;8(4):e27. https://doi.org/10.2196/jmir.8.4.e27; Kessler RC, Hamilton L, Mickelson KD, Walters EE, Zhao S. Age and depression in the MIDUS survey. In: Brim OG, Ryff CD, Kessler RC, editors. How healthy are we? A national study of well-being at midlife. Chicago: University of Chicago Press; 2003. p. 227–51.; Campbell-Sills L,Kessler RC, UrsanoRJ, Sun X, TaylorCT, Heeringa SG, et al. Predictive validity and correlatesofself-assessed resilience among U.S. Army soldiers. DepressAnxiety. 2018;35(2):122–31.https://doi.org/10.1002/da.22694.; Campbell-Sills L, Stein MB. Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): validation of a 10-item measure of resilience. J Trauma Stress. 2007;20(6):1019–28. https://doi.org/1 0.1002/jts.20271.; Kelly PJ, Kyngdon F, Ingram I, Deane FP, Baker AL, Osborne BA. The Client Satisfaction Questionnaire-8: psychometric properties in a cross-sectional survey of people attending residential substance abuse treatment: Client satisfaction in residential treatment. Drug Alcohol Rev. 2018;37(1):79–86. https://doi.org/10.1111/dar.12522.; Gupta S. Intention-to-treat concept: a review. Perspect Clin Res. 2011;2(3): 109–12. https://doi.org/10.4103/2229-3485.83221.; Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. J Am Stat Assoc. 1996;91(434):444–55. https://doi. org/10.1080/01621459.1996.10476902.; Wooldridge JM. Econometric analysis of cross section and panel data. Cambridge: MIT Press; 2002.; Clarke PS, Windmeijer F. Instrumental variable estimators for binary outcomes. J Am Stat Assoc. 2012;107(500):1638–52. https://doi.org/10.1080/ 01621459.2012.734171.; Baiocchi M, Cheng J, Small DS. Instrumental variable methods for causal inference: Instrumental variable methods for causal inference. Stat Med. 2014;33(13):2297–340. https://doi.org/10.1002/sim.6128; Robins JM, Rotnitzky A, Zhao LP. Estimation of regression coefficients when some regressors are not always observed. J Am Stat Assoc. 1994;89(427): 846–66. https://doi.org/10.1080/01621459.1994.10476818.; Schnitzer ME, Lok JJ, Gruber S. Variable selection for confounder control, flexible modeling and Collaborative Targeted minimum loss-based estimation in causal inference. Int J Biostat. 2016;12(1):97–115. https://doi. org/10.1515/ijb-2015-0017.; Robins JM, Rotnitzky A. Recovery of information and adjustment for dependent censoring using surrogate markers. In: Jewell NP, Dietz K, Farewell VT, editors. AIDS Epidemiology: Methodological Issues. Boston: Birkhäuser Boston; 1992. p. 297–331. https://doi.org/10.1007/978-1-4757-122 9-2_14.; Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55. https:// doi.org/10.2307/2335942.; Faraway JJ. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. 2nd ed. Boca Raton, FL: CRC Press; 2016. https://doi.org/10.1201/9781315382722.; Bunouf P, Molenberghs G. Implementation of pattern-mixture models in randomized clinical trials. Pharm Stat. 2016;15(6):494–506. https://doi.org/1 0.1002/pst.1780.; Stroup WW. Generalized linear mixed models: modern concepts, methods and applications. Boca Raton: CRC Press; 2013.; Daniels MJ, Jackson D, Feng W, White IR. Pattern mixture models for the analysis of repeated attempt designs. Biometrics. 2015;71(4):1160–7. https:// doi.org/10.1111/biom.12353.; Kessler RC, Bossarte RM, Luedtke A, Zaslavsky AM, Zubizarreta JR. Machine learning methods for developing precision treatment rules with observational data. Behav Res Ther. 2019;120:103412. https://doi.org/10.101 6/j.brat.2019.103412.; VanderWeele TJ, Luedtke AR, van der Laan MJ, Kessler RC. Selecting optimal subgroups for treatment using many covariates. Epidemiology. 2019;30(3): 334–41. https://doi.org/10.1097/ede.0000000000000991.; Kessler RC, Bernecker SL, Bossarte RM, Luedtke AR, McCarthy JF, Nock MK, et al. The role of big data analytics in predicting suicide. In: Passos IC, Mwangi B, Kapczinski F, editors. Personalized Psychiatry: Big Data Analytics in Mental Health. Cham, Switzerland: Springer Nature Switzerland; 2019. p. 77–98. https://doi.org/10.1007/978-3-030-03553-2_5.; Kessler RC, Bossarte RM, Luedtke A, Zaslavsky AM, Zubizarreta JR. Suicide prediction models: a critical review of recent research with recommendations for the way forward. Mol Psychiatry. 2020;25(1):168–79. https://doi.org/10.1038/s41380-019-0531-0.; van der Laan MJ, Polley EC, Hubbard AE. Super learner. Stat Appl Genet Mol Biol. 2007;6(25). https://doi.org/10.2202/1544-6115.1309.; DeRubeis RJ, Cohen ZD, Forand NR, Fournier JC, Gelfand LA, Lorenzo-Luaces L. The personalized advantage index: translating research on prediction into individualized treatment recommendations. A demonstration. PLoS One. 2014;9(1):e83875. https://doi.org/10.1371/journal.pone.0083875.; Luedtke AR, van der LaanMJ. Super-learning ofanoptimal dynamictreatment rule. Int J Biostat.2016;12(1):305–32.https://doi.org/10.1515/ijb-2015-0052.; Luedtke A, Chambaz A. Faster rates for policy learning. 2017. Retrieved from: https://arxiv.org/abs/1704.06431.; Van Der Laan MJ, Rubin D. Targeted maximum likelihood learning. Int J Biostat. 2006;2(1): doi:10.2202/1557-4679.1043.; Boutron I, Altman DG, Moher D, Schulz KF, Ravaud P, for the CONSORT NPT Group. CONSORT statement for randomized trials of nonpharmacologic treatments: A 2017 update and a CONSORT extension for nonpharmacologic trial abstracts. Ann Intern Med. 2017;167(1):40. https:// doi.org/10.7326/M17-0046.; NIH National Institute of Mental Health. Policy Governing Independent Safety Monitors and Independent Data and safety monitoring boards. 2015. https://www.nimh.nih.gov/funding/clinical-research/policy-governingindependent-safety-monitors-and-independent-data-and-safety-monitoringboards.shtml. Accessed 16 Sept 2019.; Kazdin AE. Technology-based interventions and reducing the burdens of mental illness: perspectives and comments onthe specialseries. Cogn Behav Pract. 2015;22(3):359e66–366. https://doi.org/10.1016/j.cbpra.2015.04.004.; Gulliver A, Calear AL, Sunderland M, Kay-Lambkin F, Farrer LM, Batterham PJ. Predictors of acceptability and engagement in a self-guided online program for depression and anxiety. Internet Interv. 2021;100400:100400. https://doi. org/10.1016/j.invent.2021.100400.; Simon N,McGillivray L, Roberts NP, BarawiK,Lewis CE, BissonJI.Acceptability ofinternet-basedcognitive behaviouraltherapy(i-CBT) for post-traumatic stressdisorder (PTSD): a systematic review.Eur J Psychotraumatol. 2019;10(1): 1646092.https://doi.org/10.1080/20008198.2019.1646092.; https://doi.org/10.1186/s13063-022-06255-3; https://hdl.handle.net/20.500.12494/52855; Benjet, C., et. al. (2022). Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study. Trials, 23 (450), 2-19.
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4
المؤلفون: Jim Curry, Eimear Conroy, Marshall Dunlop, Stephen Peter Fitzgerald, El Ouard Benchikh, Philip Lowry, Cherith N. Reid, Annie Gallagher, Sarah Gildea, Ciaran Richardson, Stephen Harkin, John Victor Lamont, Lorraine McClafferty, Eibhlin McCole, Sharon Savage, Robert Ivan Mcconnell
مصطلحات موضوعية: Serial dilution, biology, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Virology, Neutralization, Virus, Biosafety level, Angiotensin-converting enzyme 2, biology.protein, Medicine, Antibody, business, Biochip
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5Academic Journal
المؤلفون: Ann CULLINANE, Hiroshi BANNAI, Hiroshi KOKADO, Koji TSUJIMURA, Manabu NEMOTO, Sarah GILDEA, Takashi YAMANAKA, Tomio MATSUMURA
المصدر: Journal of Veterinary Medical Science. 2018, 80(2):382
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6Academic Journal
المؤلفون: Ann CULLINANE, Charlene Judith FERNANDEZ, Hiroshi BANNAI, Koji TSUJIMURA, Manabu NEMOTO, Sarah GILDEA, Takashi KONDO, Takashi YAMANAKA, Tao Qi Huang FU, Tomio MATSUMURA
المصدر: Journal of Veterinary Medical Science. 2017, 79(6):1061
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7
المؤلفون: Marie Garvey, Sarah Gildea, Ann Cullinane, Jacinta Gahan, Rachel Lyons, Pamela Lyons
المصدر: Equine veterinary journalREFERENCES. 52(4)
مصطلحات موضوعية: medicine.medical_specialty, 040301 veterinary sciences, Biosecurity, Population, Equine influenza, 0403 veterinary science, Orthomyxoviridae Infections, Epidemiology, Influenza, Human, medicine, Animals, Horses, education, Index case, education.field_of_study, Booster (rocketry), business.industry, Vaccination, 0402 animal and dairy science, Outbreak, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, Influenza Vaccines, Horse Diseases, business, Ireland, Demography
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8
المؤلفون: Koji Tsujimura, Takashi Kondo, Takashi Yamanaka, Tomio Matsumura, Hiroshi Bannai, Ann Cullinane, Manabu Nemoto, Sarah Gildea
المصدر: Influenza and Other Respiratory Viruses
مصطلحات موضوعية: 0301 basic medicine, Pulmonary and Respiratory Medicine, 040301 veterinary sciences, Epidemiology, Equine influenza, medicine.disease_cause, Antibodies, Viral, Virus, challenge study, 0403 veterinary science, 03 medical and health sciences, Influenza A Virus, H3N8 Subtype, Short Article, Orthomyxoviridae Infections, Immunity, equine influenza, Influenza A virus, medicine, Antigenic variation, inactivated whole vaccine, Animals, Horses, Antigens, Viral, Antiserum, business.industry, Public Health, Environmental and Occupational Health, Horse, Short Articles, 04 agricultural and veterinary sciences, Virology, H3N8, Vaccination, 030104 developmental biology, Infectious Diseases, Vaccines, Inactivated, Influenza Vaccines, Immunology, Horse Diseases, business
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9
المؤلفون: Marie Garvey, Cathal Walsh, Pamela Lyons, Rachel Lyons, Jacinta Gahan, Sarah Gildea, Ann Cullinane
المصدر: Pathogens, Vol 7, Iss 2, p 43 (2018)
Pathogens; Volume 7; Issue 2; Pages: 43
Pathogensمصطلحات موضوعية: 0301 basic medicine, Microbiology (medical), medicine.medical_specialty, 040301 veterinary sciences, Equine influenza, lcsh:Medicine, Disease, Premises, Article, Virus, 0403 veterinary science, 03 medical and health sciences, thoroughbred racehorses, Internal medicine, Epidemiology, Immunology and Allergy, Medicine, TaqMan RT-PCR, Molecular Biology, equine influenza Clade 2, General Immunology and Microbiology, Animal health, business.industry, vaccination breakdown, lcsh:R, Outbreak, 04 agricultural and veterinary sciences, Vaccination, 030104 developmental biology, Infectious Diseases, business
وصف الملف: application/pdf
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10
المؤلفون: Hiroshi Kokado, Hiroshi Bannai, Takashi Yamanaka, Koji Tsujimura, Tomio Matsumura, Manabu Nemoto, Sarah Gildea, Ann Cullinane
المصدر: The Journal of Veterinary Medical Science
مصطلحات موضوعية: 0301 basic medicine, Male, 040301 veterinary sciences, Equine influenza, Immunization, Secondary, Florida sub-lineage Clade 2, Antibodies, Viral, original antigenic sin, Neutralization, Antigenic drift, Virus, 0403 veterinary science, 03 medical and health sciences, Influenza A Virus, H3N8 Subtype, Japan, Orthomyxoviridae Infections, Neutralization Tests, Virology, Medicine, Animals, Horses, Original antigenic sin, equine influenza vaccine, General Veterinary, Full Paper, business.industry, Vaccination, 04 agricultural and veterinary sciences, Vaccine efficacy, Titer, 030104 developmental biology, Antibody Formation, virus neutralization, Female, Horse Diseases, business
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11
المؤلفون: Anil Kagankaya, Marie Garvey, Emre Gür, Sarah Gildea, Ann Cullinane, Jacinta Gahan
المصدر: Influenza and Other Respiratory Viruses
مصطلحات موضوعية: 0301 basic medicine, Pulmonary and Respiratory Medicine, Turkey, Epidemiology, viruses, Equine influenza, Florida clade 2, Biology, Viral Nonstructural Proteins, Real-Time Polymerase Chain Reaction, Virus, DNA sequencing, Disease Outbreaks, 03 medical and health sciences, Influenza A Virus, H3N8 Subtype, Antigen, Orthomyxoviridae Infections, equine influenza, Animals, Horses, Clade, Antigens, Viral, Phylogeny, Whole genome sequencing, Phylogenetic tree, Whole Genome Sequencing, Public Health, Environmental and Occupational Health, Outbreak, Genetic Variation, Original Articles, American lineage, Virology, genome sequencing, 030104 developmental biology, Infectious Diseases, Original Article
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12
المؤلفون: Ann Cullinane, Yue Hu, Zhe Hu, Shihua Zhao, Pamela Lyons, Ting Qi, Sarah Gildea, Xiaojun Wang
المصدر: Archives of virology. 163(6)
مصطلحات موضوعية: 0301 basic medicine, medicine.drug_class, 030106 microbiology, Blotting, Western, Enzyme-Linked Immunosorbent Assay, Monoclonal antibody, Antibodies, Viral, Virus, Cell Line, 03 medical and health sciences, Mice, Antigen, Equartevirus, Limit of Detection, Virology, medicine, Animals, Humans, Horses, Antigens, Viral, Horseradish Peroxidase, Mice, Inbred BALB C, biology, Arterivirus Infections, Virion, Antibodies, Monoclonal, Epithelial Cells, General Medicine, In vitro, Nucleoprotein, Blot, 030104 developmental biology, HEK293 Cells, Cell culture, biology.protein, Female, Horse Diseases, Immunization, Antibody
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13
المؤلفون: Ann Cullinane, M. Ryan, Cathal Walsh, Sarah Gildea
المصدر: Equine Veterinary Journal. 47:662-666
مصطلحات موضوعية: education.field_of_study, medicine.medical_specialty, biology, business.industry, Influenza vaccine, Population, Equine influenza, Horse, General Medicine, Serology, Vaccination, Internal medicine, Immunology, biology.protein, Medicine, Population study, Antibody, business, education
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14
المؤلفون: Tomio Matsumura, Koji Tsujimura, Takashi Yamanaka, Ann Cullinane, Manabu Nemoto, Sarah Gildea, Takashi Kondo, Hiroshi Bannai
المصدر: Equine Veterinary Journal. 47:456-462
مصطلحات موضوعية: Antiserum, Antigen, Equine influenza, biology.protein, General Medicine, Single amino acid, Biology, Antibody, Clade, Virology, Virus, Neutralization
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15
المؤلفون: Pamela Galvin, Sean Arkins, Cathal Walsh, Maura Nelly, Ann Cullinane, Sarah Gildea, Michelle Quinlivan
المصدر: Influenza and Other Respiratory Viruses
مصطلحات موضوعية: Pulmonary and Respiratory Medicine, Epidemiology, Equine influenza, Enzyme-Linked Immunosorbent Assay, Nose, Biology, Sensitivity and Specificity, Virus, rapid antigen detection, Orthomyxoviridae Infections, stomatognathic system, Antigen, equine influenza, Diagnosis, Espline, Animals, Horses, Subclinical infection, nucleoprotein Directigen, Receiver operating characteristic, Diagnostic Tests, Routine, Viral Core Proteins, Public Health, Environmental and Occupational Health, RNA-Binding Proteins, Original Articles, Gold standard (test), Nucleocapsid Proteins, Virology, Nucleoprotein, Infectious Diseases, Nasal Swab, ELISA, Horse Diseases, Reagent Kits, Diagnostic
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16
المؤلفون: Ann Cullinane, David A. Fitzpatrick, Sarah Gildea
المصدر: Influenza and Other Respiratory Viruses
مصطلحات موضوعية: Pulmonary and Respiratory Medicine, Epidemiology, Molecular Sequence Data, Equine influenza, Hemagglutinin Glycoproteins, Influenza Virus, Biology, Antibodies, Viral, medicine.disease_cause, Virus, Disease Outbreaks, Orthomyxoviridae Infections, biology.animal, Influenza A virus, medicine, Animals, Amino Acid Sequence, Horses, Seroconversion, Phylogeny, Subclinical infection, outbreak, Equine, Public Health, Environmental and Occupational Health, Outbreak, Original Articles, Virology, investigations, Vaccination, Infectious Diseases, Immunology, Horse Diseases, Original Article, Equidae, influenza, Ireland, Sequence Alignment
وصف الملف: text
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المؤلفون: Cathal Walsh, Sean Arkins, Pamela Galvin, Sarah Gildea, Ann Cullinane
المصدر: Influenza and Other Respiratory Viruses
مصطلحات موضوعية: Pulmonary and Respiratory Medicine, Epidemiology, Population, Equine influenza, Enzyme-Linked Immunosorbent Assay, Canarypox virus, Biology, DIVA, Antibodies, Viral, Influenza A Virus, H3N8 Subtype, Orthomyxoviridae Infections, Animals, Horses, education, Antibody, equine, nucleoprotein, education.field_of_study, Viral Core Proteins, Vaccination, Public Health, Environmental and Occupational Health, ISCOM, Original Articles, Virology, Nucleoprotein, Diva, Infectious Diseases, Influenza Vaccines, Immunology, biology.protein, Original Article, ELISA, Horse Diseases, influenza
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18
المؤلفون: Michelle Quinlivan, Barbara A. Murphy, Ann Cullinane, Sarah Gildea
المصدر: Vaccine. 31:5216-5222
مصطلحات موضوعية: Canarypox, Equine influenza, Antibodies, Viral, Influenza A Virus, H3N8 Subtype, Immune system, Orthomyxoviridae Infections, medicine, Animals, Interferon gamma, Horses, B cell, Vaccines, Synthetic, General Veterinary, General Immunology and Microbiology, biology, Gene Expression Profiling, Vaccination, Public Health, Environmental and Occupational Health, ISCOM, biology.organism_classification, Virology, Infectious Diseases, medicine.anatomical_structure, Vaccines, Inactivated, Influenza Vaccines, Vaccines, Subunit, Immunology, biology.protein, Cytokines, Molecular Medicine, Horse Diseases, Antibody, medicine.drug
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19
المؤلفون: Sarah Gildea, Sean Arkins, Ann Cullinane, Michelle Quinlivan
المصدر: Equine Veterinary Journal. 44:387-392
مصطلحات موضوعية: Lineage (genetic), Molecular epidemiology, Genetic drift, viruses, Equine influenza, Outbreak, General Medicine, Disease, Biology, Clade, Virology, Virus
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20
المؤلفون: Cathal Walsh, Sean Arkins, Sarah Gildea, Ann Cullinane
المصدر: Vaccine. 29:3917-3922
مصطلحات موضوعية: Male, Booster vaccination, Population, Immunization, Secondary, Equine influenza, Antibodies, Viral, Influenza A Virus, H3N8 Subtype, Blind study, Orthomyxoviridae Infections, Animals, Single radial haemolysis, Medicine, Horses, education, Immunoassay, education.field_of_study, General Veterinary, General Immunology and Microbiology, biology, business.industry, Vaccination, Public Health, Environmental and Occupational Health, Infectious Diseases, Antibody response, Influenza Vaccines, Immunology, biology.protein, Molecular Medicine, Female, Horse Diseases, Antibody, business, Ireland