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Anderson, S. C., Edwards, A. M., Yerlanov, M., Mulberry, N., Stockdale, J. E., Iyaniwura, S. A., Falcao, R. C., Otterstatter, M. C., Irvine, M. A., Janjua, N. Z., Coombs, D., & Colijn, C. (2020). Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing. PLOS Computational Biology, 16(12), e1008274. https://doi.org/10.1371/journal.pcbi.1008274
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www.nature.com www.nature.com
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The processes involved in human motivation according to PRIME theory. Arrows denote the ‘influence’ relationship. Reproduced from ref. 48.
TABLO: Davranış nasıl meydana gelir
Tags
Annotators
URL
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www.sciencedirect.com www.sciencedirect.com
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In particular, qualitative methods using in-depth interviews and focus groups are useful to analyse the specific nature of the problem, ascertain who is involved or affected by the problem, and how the problem is perceived from different perspectives
Özellikle, derinlemesine görüşmeler ve odak grupları kullanan nitel yöntemler, sorunun belirli doğasını analiz etmek için kullanışlıdır,
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blogs.bmj.com blogs.bmj.com
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The BMJ. „Covid-19: How to Break the Cycle of Lockdowns“, 27. Januar 2021. https://blogs.bmj.com/bmj/2021/01/27/covid-19-how-to-break-the-cycle-of-lockdowns/.
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www.nature.com www.nature.com
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(2021). How epidemiology has shaped the COVID pandemic. Nature, 589, 491-492. Doi: 10.1038/d41586-021-00183-z
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academic.oup.com academic.oup.com
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. Patients from remote areas and patients with low socioeconomic status who cannot afford paying for face-to-face interventions can be additionally reached [
. Uzak bölgelerden gelen hastalar ve düşük sosyoekonomik statüye sahip ve yüz yüze müdahaleler için para ödeyemeyen hastalara ayrıca ulaşılabilir [
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Multicomponent behavioral interventions including techniques of CBT, MI, and problem solving combined with reminders may be effective in young adults
CbT, MI teknikleri ve problem çözme tekniklerini de içeren çok bileşenli davranışsal müdahaleler, anımsatıcılarla birlikte genç yetişkinlerde etkili olabilir
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Certain barriers relating to socioeconomic characteristics, such as younger ages, low education and income, may not be modifiable, however interventions can differentially target these groups and the particular mechanisms that contribute to MNA.
Genç yaşlar, düşük eğitim ve gelir gibi sosyoekonomik özelliklerle ilgili bazı engeller değiştirilebilir olmayabilir, ancak müdahaleler bu grupları ve MNA'ya katkıda bulunan belirli mekanizmaları farklı bir şekilde hedefleyebilir.
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Effective components of behavioral interventions (mostly digitally delivered) across conditions included education, personalized motivational feedback, motivational interviewing, and reinforcement messages.
Koşullar arasında davranışsal müdahalelerin etkili bileşenleri (çoğunlukla dijital olarak teslim) eğitim, kişiselleştirilmiş motivasyonel geribildirim, motivasyonel görüşme ve güçlendirme mesajlarını içeriyordu.
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en.wikipedia.org en.wikipedia.org
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Praxis intervention makes research, creative expression or technology development into a bottom-up process. It democratizes making of art, science, technology and critical conscience. The praxis intervention method aims at provoking members to unsettle their settled mindsets and to have a fresh look at the world around and intervene.
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Schmid, P., Rauber, D., Betsch, C., Lidolt, G., & Denker, M.-L. (2017). Barriers of Influenza Vaccination Intention and Behavior – A Systematic Review of Influenza Vaccine Hesitancy, 2005 – 2016. PLoS ONE, 12(1). https://doi.org/10.1371/journal.pone.0170550
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journals.sagepub.com journals.sagepub.com
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Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J., & Kempe, A. (2017). Increasing Vaccination: Putting Psychological Science Into Action. Psychological Science in the Public Interest, 18(3), 149–207. https://doi.org/10.1177/1529100618760521
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journals.sagepub.com journals.sagepub.com
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Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J., & Kempe, A. (2017). Increasing Vaccination: Putting Psychological Science Into Action. Psychological Science in the Public Interest, 18(3), 149–207. https://doi.org/10.1177/1529100618760521
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www.sciencedirect.com www.sciencedirect.com
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Internet interventions work for many conditions, have long-term effects and can be as effective as face-to-face therapy.
İnternet müdahaleleri birçok koşuliçin çalışır, uzun vadeli etkileri vardır ve yüz yüze terapi kadar etkili olabilir.
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journals.sagepub.com journals.sagepub.com
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the majority of the apps identified lack a psychological underpinning
tespit edilen uygulamaların çoğu psikolojik dayanaktan yoksundur
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lso, when people use ineffective apps, it may also deter them from trying other approaches
Ayrıca, insanlar etkisiz uygulamaları kullandığında, diğer yaklaşımları denemekten de caydırabilir.
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Landoni, M., & Chiara, I. (2020). IPV and COVID-19: A systematic review of the literature. PsyArXiv. https://doi.org/10.31234/osf.io/nqgbx
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psyarxiv.com psyarxiv.com
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Hu, C., Zhu, K., Huang, K., Yu, B., Jiang, W., Peng, K., & Wang, F. (2020, November 30). Using Natural Intervention to Promote Subjective Well-being of COVID-19 Essential Workers. https://doi.org/10.31234/osf.io/mc57s
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psyarxiv.com psyarxiv.com
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Bialobrzeska, O., Baba, J., Bedyńska, S., Cichocka, A., Cislak, A., Formanowicz, M., … Kozakiewicz, K. (2020, November 29). Keep kind and carry on. Everyday kindness enhances well-being and prosocial behavior in the time of COVID-19. https://doi.org/10.31234/osf.io/n2g3m
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psyarxiv.com psyarxiv.com
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Wiwad, D., Mercier, B., Piff, P. K., Shariff, A., & Aknin, L. (2020). Recognizing the Impact of Covid-19 on the Poor Alters Attitudes Towards Poverty and Inequality. PsyArXiv. https://doi.org/10.31234/osf.io/geyt4
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- Nov 2020
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Machine learning has been applied
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psyarxiv.com psyarxiv.com
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Fischer, R., & Karl, J. (2020). Predicting behavioral intentions to prevent or mitigate COVID-19: A meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/ek69g
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psyarxiv.com psyarxiv.com
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Zhang, Y., & Cook, C. (2020). A Rapid Scoping Review of Publications Examining Psychological Impacts of COVID-19 in China. PsyArXiv. https://doi.org/10.31234/osf.io/2uadr
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Robert, Alexis. “Lessons from New Zealand’s COVID-19 Outbreak Response.” The Lancet Public Health 0, no. 0 (October 13, 2020). https://doi.org/10.1016/S2468-2667(20)30237-1.
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Bauch, Chris T. “Estimating the COVID-19 R Number: A Bargain with the Devil?” The Lancet Infectious Diseases 0, no. 0 (October 22, 2020). https://doi.org/10.1016/S1473-3099(20)30840-9.
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Yang Chan, E. Y., Shahzada, T. S., Sham, T. S. T., Dubois, C., Huang, Z., Liu, S., Ho, J. Y., Hung, K. K. C., Kwok, K. O., & Shaw, R. (n.d.). Narrative review of non-pharmaceutical behavioural measures for the prevention of COVID-19 (SARS-CoV-2) based on the Health-EDRM framework. British Medical Bulletin. https://doi.org/10.1093/bmb/ldaa030
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Franco-Paredes, Carlos, Nazgol Ghandnoosh, Hassan Latif, Martin Krsak, Andres F. Henao-Martinez, Megan Robins, Lilian Vargas Barahona, and Eric M. Poeschla. ‘Decarceration and Community Re-Entry in the COVID-19 Era’. The Lancet Infectious Diseases 0, no. 0 (29 September 2020). https://doi.org/10.1016/S1473-3099(20)30730-1.
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behavioralscientist.org behavioralscientist.org
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www.sciencedirect.com www.sciencedirect.com
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Han, E., Tan, M. M. J., Turk, E., Sridhar, D., Leung, G. M., Shibuya, K., Asgari, N., Oh, J., García-Basteiro, A. L., Hanefeld, J., Cook, A. R., Hsu, L. Y., Teo, Y. Y., Heymann, D., Clark, H., McKee, M., & Legido-Quigley, H. (2020). Lessons learnt from easing COVID-19 restrictions: An analysis of countries and regions in Asia Pacific and Europe. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)32007-9
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science.sciencemag.org science.sciencemag.org
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Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
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Who’s to Blame for COVID-19 Outbreaks at Colleges and Universities? (2020, September 15). Bill of Health. http://blog.petrieflom.law.harvard.edu/2020/09/15/whos-to-blame-for-covid-19-outbreaks-at-colleges-and-universities/
Tags
- university
- responsibility
- COVID-19
- law
- lang:en
- transmission
- college
- safety
- USA
- administration
- is:blog
- outbreak
- public health intervention
- blame
Annotators
URL
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www.medrxiv.org www.medrxiv.org
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Friston, K., Costello, A., & Pillay, D. (2020). Dark matter, second waves and epidemiological modelling. MedRxiv, 2020.09.01.20185876. https://doi.org/10.1101/2020.09.01.20185876
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psyarxiv.com psyarxiv.com
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Fragkaki, I., Maciejewski, D. F., Weijman, E., Feltes, J., Cima, M. (2020). Human Responses to Covid-19: The Role of Optimism Bias, Perceived Severity, and Anxiety. 10.31234/osf.io/w4k9m
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advances.sciencemag.org advances.sciencemag.org
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Holman, E. A., Thompson, R. R., Garfin, D. R., & Silver, R. C. (2020). The unfolding COVID-19 pandemic: A probability-based, nationally representative study of mental health in the U.S. Science Advances, eabd5390. https://doi.org/10.1126/sciadv.abd5390
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Report 13—Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in 11 European countries. (n.d.). Imperial College London. Retrieved September 18, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-13-europe-npi-impact/
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www.medrxiv.org www.medrxiv.org
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Gardner, J. M., Willem, L., Wijngaart, W. van der, Kamerlin, S. C. L., Brusselaers, N., & Kasson, P. (2020). Intervention strategies against COVID-19 and their estimated impact on Swedish healthcare capacity. MedRxiv, 2020.04.11.20062133. https://doi.org/10.1101/2020.04.11.20062133
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The Behaviour Change Wheel Book—A Guide To Designing Interventions. (n.d.). Retrieved September 17, 2020, from http://www.behaviourchangewheel.com/
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jamanetwork.com jamanetwork.com
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Gao, S., Rao, J., Kang, Y., Liang, Y., Kruse, J., Dopfer, D., Sethi, A. K., Reyes, J. F. M., Yandell, B. S., & Patz, J. A. (2020). Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US. JAMA Network Open, 3(9), e2020485–e2020485. https://doi.org/10.1001/jamanetworkopen.2020.20485
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pittsburgh.cbslocal.com pittsburgh.cbslocal.com
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University Of Pittsburgh Scientists Discover Biomolecule That May Neutralize Coronavirus. (2020, September 15). https://pittsburgh.cbslocal.com/2020/09/15/coronavirus-university-pittsburgh-biomolecule-neutralize/
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fivethirtyeight.com fivethirtyeight.com
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Jr, N. L. (2020, September 14). Why Coming Up With Effective Interventions To Address COVID-19 Is So Hard. FiveThirtyEight. https://fivethirtyeight.com/features/why-coming-up-with-effective-interventions-to-address-covid-19-is-so-hard/
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www.thelancet.com www.thelancet.com
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Diseases, T. L. I. (2020). Curing COVID-19. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30706-4
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Judah, G., Aunger, R., Schmidt, W.-P., Michie, S., Granger, S., & Curtis, V. (2009). Experimental Pretesting of Hand-Washing Interventions in a Natural Setting. American Journal of Public Health, 99(Suppl 2), S405–S411. https://doi.org/10.2105/AJPH.2009.164160
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Ponchner, D. (n.d.). Costa Rica Readies Horse Antibodies for Trials as an Inexpensive COVID-19 Therapy. Scientific American. Retrieved September 8, 2020, from https://www.scientificamerican.com/article/costa-rica-readies-horse-antibodies-for-trials-as-an-inexpensive-covid-19-therapy/
Tags
- is:news
- clinical trial
- COVID-19
- therapy
- lang:en
- Costa Rica
- intervention
- low-cost
- human research
- horse antibodies
- immunology
- development
Annotators
URL
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papers.ssrn.com papers.ssrn.com
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Casoria, F., Galeotti, F., & Villeval, M. C. (2020). Perceived Social Norm and Behavior Quickly Adjusted to Legal Changes During the COVID-19 Pandemic (SSRN Scholarly Paper ID 3681204). Social Science Research Network. https://doi.org/10.2139/ssrn.3681204
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Team, I. C.-19 F., & Hay, S. I. (2020). COVID-19 scenarios for the United States. MedRxiv, 2020.07.12.20151191. https://doi.org/10.1101/2020.07.12.20151191
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Clifford, S., Quilty, B. J., Russell, T. W., Liu, Y., Chan, Y.-W. D., Pearson, C. A. B., Eggo, R. M., Endo, A., Group, C. C.-19 W., Flasche, S., & Edmunds, W. J. (2020). Strategies to reduce the risk of SARS-CoV-2 re-introduction from international travellers. MedRxiv, 2020.07.24.20161281. https://doi.org/10.1101/2020.07.24.20161281
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psyarxiv.com psyarxiv.com
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Paudel, Dhirendra. ‘ABC Framework of Fear of COVID-19 for Psychotherapeutic Intervention in Nepal: A Review’. Preprint. PsyArXiv, 4 September 2020. https://doi.org/10.31234/osf.io/9sj4a.
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Rheumatology, T. L. (2020). COVID-19: A time to reflect. The Lancet Rheumatology, 2(6), e309. https://doi.org/10.1016/S2665-9913(20)30102-8
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Eglen, S. J. (2020). CODECHECK certificate 2020-008. Zenodo. https://doi.org/10.5281/zenodo.3746024
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Tags
- CHARIS
- population health
- Scotland
- protocol CHARIS
- mental health
- behavioural change
- behaviourally-informed intervention
- governments
- TRBs
- random digit dialing
- physical distancing
- variations in adherence
- transmission reducing behaviours
- face coverings
- COVID-19
- absence of vaccine
- event-related changes
- general health
- lang:en
- decision-makers
- hand washing
- public health
- telephone surveys
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Annotators
URL
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Anything that is added to a system to improve it (or make it more reliable!) increases complexity, thus uncertainty and risk. We have a bad habit of trying to add “more” to fix a problem, increase the layers of safety, band-aid over a system vulnerability, etc. We don’t often evaluate this, but this added complexity can (and does) make things worse. Wherever possible — and I know it isn’t always possible — remove something isntead of adding it. This is not usually politically favorable, something that Sr. Software Engineers who reduce the codebase size have often heard, but has far fewer side effects.
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Eric Topol on Twitter: “It’s 100+ years later and we’re a lot smarter, more capable. Why aren’t we beating the crap out of #SARSCoV2? We will. Just a matter of time. https://t.co/eFGieP4cos” / Twitter. (n.d.). Twitter. Retrieved July 31, 2020, from https://twitter.com/EricTopol/status/1287461741236875264
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Zhou, Q., Chen, V., Shannon, C. P., Wei, X.-S., Xiang, X., Wang, X., Wang, Z.-H., Tebbutt, S. J., Kollmann, T. R., & Fish, E. N. (2020). Interferon-α2b Treatment for COVID-19. Frontiers in Immunology, 11. https://doi.org/10.3389/fimmu.2020.01061
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psyarxiv.com psyarxiv.com
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Wang, M., Jiang, W., & Cheng, P. (2020). Mental Health Peer to Peer Support via Social Media practice reference During COVID-19 Pandemics [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/u4pqy
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McDonald, K., Ding, T., French, P., Jones, P. B., Baio, G., Kirkbride, J. B., & Wohland, P. (2020, April 27). Forecasting population need for mental health care: a Bayesian methodology applied to the epidemiology of psychotic disorders in England. Retrieved from psyarxiv.com/bvcgu
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Moreau, David, and Kristina Wiebels. ‘Assessing Change in Intervention Research: The Benefits of Composite Outcomes’, 2 June 2020. https://doi.org/10.31234/osf.io/t9hw3.
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Soicher, R. N., & Becker-Blease, K. A. (2020). Utility value interventions: Why and how instructors should use them in college psychology courses. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/qwmzj
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