المؤلفون: Altman, G, Ahuja, J, Monrad, JT, Dhaliwal, G, Rogers-Smith, C, Leech, G, Snodin, B, Sandbrink, JB, Finnveden, L, Norman, AJ, Oehm, SB, Sandkühler, JF, Kulveit, J, Flaxman, S, Gal, Y, Mishra, S, Bhatt, S, Sharma, M, Mindermann, S, Brauner, JM

المساهمون: Altman, George [0000-0002-4184-2963], Finnveden, Lukas [0000-0001-8548-5788], Oehm, Sebastian B [0000-0002-7099-0578], Mishra, Swapnil [0000-0002-8759-5902], Brauner, Jan Markus [0000-0002-1588-5724], Apollo - University of Cambridge Repository

المصدر: Altman, G, Ahuja, J, Monrad, J T, Dhaliwal, G, Rogers-Smith, C, Leech, G, Snodin, B, Sandbrink, J B, Finnveden, L, Norman, A J, Oehm, S B, Sandkuehler, J F, Kulveit, J, Flaxman, S, Gal, Y, Mishra, S, Bhatt, S, Sharma, M, Mindermann, S & Brauner, J M 2022, ' A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe ', Scientific Data, vol. 9, no. 1, 145 . https://doi.org/10.1038/s41597-022-01175-y

مصطلحات موضوعية: Statistics and Probability, Data Descriptor, SARS-CoV-2, Medizin, COVID-19, Mass Gatherings, Library and Information Sciences, Psychosocial Intervention, HV Social pathology. Social and public welfare. Criminology, Computer Science Applications, Education, Europe, 692/699/255/2514, RA0421 Public health. Hygiene. Preventive Medicine, Humans, 692/308/174, Statistics, Probability and Uncertainty, data-descriptor, Information Systems

وصف الملف: text/xml; application/pdf; text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd69e002b0a453b93f24a1034185e48b

المؤلفون: Sharmistha Mishra, George T. Altman, Leonid Chindelevitch, Lukas Finnveden, Yarin Gal, Joshua Teperowski Monrad, Seth Flaxman, Jan Kulveit, Gavin Leech, Charlie Rogers-Smith, Mrinank Sharma, Benedict E. K. Snodin, Jonas B. Sandbrink, Oehm Sb, Thomas A. Mellan, Samir Bhatt, Sören Mindermann, Alexander John Norman, Sandkühler Jf, Jan Markus Brauner, Dhaliwal G, Ahuja J

مصطلحات موضوعية: Government, Coronavirus disease 2019 (COVID-19), Computer science, SAFER, Bayesian probability, Econometrics, Psychological intervention, Set (psychology), Robustness (economics), Diversity (business)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::738fb5d47239949a62608e20473b51bc
https://doi.org/10.1101/2021.03.25.21254330

المؤلفون: Sandkühler JF; Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany. jf.sandkuehler@gmail.com.; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany. jf.sandkuehler@gmail.com., Kersting X; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.; Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany., Faust A; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany., Königs EK; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany., Altman G; Manchester University NHS Foundation Trust, Manchester, UK., Ettinger U; Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany., Lux S; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany., Philipsen A; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany., Müller H; Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.; Department of Health, Witten/Herdecke University, Witten, Germany., Brauner J; Department of Health, Witten/Herdecke University, Witten, Germany.; Department of Computer Science, University of Oxford, Oxford, UK.; Future of Humanity Institute, University of Oxford, Oxford, UK.

المصدر: BMC medicine [BMC Med] 2023 Nov 15; Vol. 21 (1), pp. 440. Date of Electronic Publication: 2023 Nov 15.

نوع المنشور: Randomized Controlled Trial; Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE

مواضيع طبية MeSH: Creatine*/adverse effects , Dietary Supplements*, Humans ; Bayes Theorem ; Brain ; Double-Blind Method ; Cognition

المؤلفون: Sandkühler JF; Department of Psychology, University of Bonn, Bonn, Germany.; Department of Health, Witten/Herdecke University, Witten, Germany., Brochhagen S; Department of Health, Witten/Herdecke University, Witten, Germany.; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany., Rohde P; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany.; Department of Media and Communications, London School of Economics and Political Science, London, UK., Muscheidt RC; Department of Health, Witten/Herdecke University, Witten, Germany.; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany., Grömer TW; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany.; Department of Psychiatry and Psychotherapy, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany., Müller H; Department of Health, Witten/Herdecke University, Witten, Germany.; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany.; Department of Media and Communications, London School of Economics and Political Science, London, UK., Brauner JM; Department of Health, Witten/Herdecke University, Witten, Germany.; Clinic for Psychiatry and Psychotherapy, Community Hospital Herdecke, Herdecke, Germany.; Department of Computer Science, University of Oxford, Oxford, UK.

المصدر: Depression and anxiety [Depress Anxiety] 2022 Dec; Vol. 39 (12), pp. 760-769. Date of Electronic Publication: 2022 Aug 18.

نوع المنشور: Randomized Controlled Trial; Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Wiley Country of Publication: United States NLM ID: 9708816 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6394 (Electronic) Linking ISSN: 10914269 NLM ISO Abbreviation: Depress Anxiety Subsets: MEDLINE

مواضيع طبية MeSH: Seasonal Affective Disorder*/therapy, Humans ; Phototherapy/methods ; Treatment Outcome

المؤلفون: Sharma M; Department of Statistics, University of Oxford, Oxford, UK. mrinank.sharma@eng.ox.ac.uk.; Department of Engineering Science, University of Oxford, Oxford, UK. mrinank.sharma@eng.ox.ac.uk.; Future of Humanity Institute, University of Oxford, Oxford, UK. mrinank.sharma@eng.ox.ac.uk., Mindermann S; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, Oxford, UK. soren.mindermann@cs.ox.ac.uk., Rogers-Smith C; OATML Group (work done while at OATML as an external collaborator), Department of Computer Science, University of Oxford, Oxford, UK., Leech G; Department of Computer Science, University of Bristol, Bristol, UK., Snodin B; Future of Humanity Institute, University of Oxford, Oxford, UK., Ahuja J; Future of Humanity Institute, University of Oxford, Oxford, UK.; Medical Sciences Division, University of Oxford, Oxford, UK., Sandbrink JB; Future of Humanity Institute, University of Oxford, Oxford, UK.; Medical Sciences Division, University of Oxford, Oxford, UK., Monrad JT; Future of Humanity Institute, University of Oxford, Oxford, UK.; Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.; Department of Health Policy, London School of Economics and Political Science, London, UK., Altman G; Manchester University NHS Foundation Trust, Manchester, UK., Dhaliwal G; The Francis Crick Institute, London, UK.; School of Life Sciences, University of Warwick, Coventry, UK., Finnveden L; Future of Humanity Institute, University of Oxford, Oxford, UK., Norman AJ; Mathematical, Physical and Life Sciences (MPLS) Doctoral Training Centre, University of Oxford, Oxford, UK., Oehm SB; Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.; University of Cambridge, Cambridge, UK., Sandkühler JF; University of Essen, Essen, Germany., Aitchison L; Department of Computer Science, University of Bristol, Bristol, UK., Gavenčiak T; Independent scholar, Prague, Czech Republic., Mellan T; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK., Kulveit J; Future of Humanity Institute, University of Oxford, Oxford, UK., Chindelevitch L; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK., Flaxman S; Department of Mathematics, Imperial College London, London, UK., Gal Y; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, Oxford, UK., Mishra S; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. s.mishra@imperial.ac.uk.; Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK. s.mishra@imperial.ac.uk., Bhatt S; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.; Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. s.bhatt@imperial.ac.uk., Brauner JM; Future of Humanity Institute, University of Oxford, Oxford, UK. jan.brauner@eng.ox.ac.uk.; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, Oxford, UK. jan.brauner@eng.ox.ac.uk.

المصدر: Nature communications [Nat Commun] 2021 Oct 05; Vol. 12 (1), pp. 5820. Date of Electronic Publication: 2021 Oct 05.

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE

مواضيع طبية MeSH: Government*, COVID-19/*epidemiology, Basic Reproduction Number ; COVID-19/virology ; Europe/epidemiology ; Humans ; Models, Theoretical ; SARS-CoV-2/physiology ; Time Factors

المؤلفون: Mishra S; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Mindermann S; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK., Sharma M; Department of Statistics, University of Oxford, UK.; Department of Engineering Science, University of Oxford, UK.; Future of Humanity Institute, University of Oxford, UK., Whittaker C; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Mellan TA; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Wilton T; National Institute for Biological Standards and Control (NIBSC), UK., Klapsa D; National Institute for Biological Standards and Control (NIBSC), UK., Mate R; National Institute for Biological Standards and Control (NIBSC), UK., Fritzsche M; National Institute for Biological Standards and Control (NIBSC), UK., Zambon M; Public Health England, London, UK., Ahuja J; Future of Humanity Institute, University of Oxford, UK.; Medical Sciences Division, University of Oxford, UK., Howes A; Department of Mathematics, Imperial College London, UK., Miscouridou X; Department of Mathematics, Imperial College London, UK., Nason GP; Department of Mathematics, Imperial College London, UK., Ratmann O; Department of Mathematics, Imperial College London, UK., Semenova E; Department of Mathematics, Imperial College London, UK., Leech G; Department of Computer Science, University of Bristol, UK., Sandkühler JF; Department of Psychology, University of Bonn, Germany., Rogers-Smith C; OATML Group (work done while at OATML as an external collaborator), Department of Computer Science, University of Oxford, UK., Vollmer M; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK.; Public Health England, London, UK., Unwin HJT; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Gal Y; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK., Chand M; Public Health England, London, UK., Gandy A; Department of Mathematics, Imperial College London, UK., Martin J; National Institute for Biological Standards and Control (NIBSC), UK., Volz E; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Ferguson NM; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK., Bhatt S; Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, UK.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Denmark., Brauner JM; Oxford Applied and Theoretical Machine Learning (OATML) Group, Department of Computer Science, University of Oxford, UK.; Future of Humanity Institute, University of Oxford, UK., Flaxman S; Department of Mathematics, Imperial College London, UK.

مؤلفون مشاركون: COVID-19 Genomics UK (COG-UK) Consortium

المصدر: EClinicalMedicine [EClinicalMedicine] 2021 Jul 31; Vol. 39, pp. 101064. Date of Electronic Publication: 2021 Jul 31 (Print Publication: 2021).

نوع المنشور: Journal Article

بيانات الدورية: Publisher: The Lancet Country of Publication: England NLM ID: 101733727 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-5370 (Electronic) Linking ISSN: 25895370 NLM ISO Abbreviation: EClinicalMedicine Subsets: PubMed not MEDLINE