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Статті в журналах з теми "Drugs Prescribing Data processing"
Colling, Craig, Christoph Mueller, Gayan Perera, Nicola Funnell, Justin Sauer, Daniel Harwood, Robert Stewart, and Delia Bishara. "‘Real time’ monitoring of antipsychotic prescribing in patients with dementia: a study using the Clinical Record Interactive Search (CRIS) platform to enhance safer prescribing." BMJ Open Quality 9, no. 1 (March 2020): e000778. http://dx.doi.org/10.1136/bmjoq-2019-000778.
Повний текст джерелаWalker, Lauren E., Aseel S. Abuzour, Danushka Bollegala, Andrew Clegg, Mark Gabbay, Alan Griffiths, Cecil Kullu, et al. "The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity." Journal of Multimorbidity and Comorbidity 12 (January 2022): 263355652211454. http://dx.doi.org/10.1177/26335565221145493.
Повний текст джерелаBizuneh, Gizachew Kassahun, Betelhem Anteneh Adamu, Getenet Tadege Bizuayehu, and Solomon Debebe Adane. "A Prospective Observational Study of Drug Therapy Problems in Pediatric Ward of a Referral Hospital, Northeastern Ethiopia." International Journal of Pediatrics 2020 (March 21, 2020): 1–6. http://dx.doi.org/10.1155/2020/4323189.
Повний текст джерелаHerigon, Joshua C., Amir Kimia, and Marvin Harper. "1358. Using natural language processing to optimize case ascertainment of acute otitis media in a large, state-wide pediatric practice network." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S690—S691. http://dx.doi.org/10.1093/ofid/ofaa439.1540.
Повний текст джерелаGumułka, Paweł, Joanna Żandarek, Monika Dąbrowska, and Małgorzata Starek. "UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst." Processes 10, no. 12 (November 24, 2022): 2498. http://dx.doi.org/10.3390/pr10122498.
Повний текст джерелаKinderbaeva, N. K., K. Bazira, N. M. Karabekova, R. M. Mamatova, Zh Asel, A. K. Nartaeva та S. M. Mamatov. "Analysis of antithrombotic therapy in elderly patients with nonvalvular atrial fibrillation in the Kyrgyz Republic and ways to increase treatment adherencе". Kazan medical journal 102, № 4 (8 серпня 2021): 439–45. http://dx.doi.org/10.17816/kmj2021-439.
Повний текст джерелаЛысенко, О. В. "Comparative Efficacy of Various Forms of Estrogen-Containing Drugs for Endometrial Preparation During Frozen Embryo Transfer in Protocols with Hormone Replacement Therapy." Репродуктивное здоровье. Восточная Европа, no. 3 (August 18, 2022): 356–63. http://dx.doi.org/10.34883/pi.2022.12.3.007.
Повний текст джерелаQaiser, Aimen, Zahra Hassan Kiani, Farina Abid, Tania Pervaiz, and Zafar Iqbal. "Evaluation of Prescribing Pattern in Mirpur Azad Kashmir using who Prescribing Indicators." Global Pharmaceutical Sciences Review V, no. I (December 30, 2020): 17–24. http://dx.doi.org/10.31703/gpsr.2020(v-i).03.
Повний текст джерелаBrodie, Martin J., and Ian Harrison. "Practical prescribing." Drug and Therapeutics Bulletin 25, no. 20 (October 5, 1987): 80. http://dx.doi.org/10.1136/dtb.25.20.80.
Повний текст джерелаBruck, P., C. A. Antao, and J. A. Henry. "Generic Prescribing of Antidepressants." Journal of the Royal Society of Medicine 85, no. 11 (November 1992): 682–85. http://dx.doi.org/10.1177/014107689208501109.
Повний текст джерелаДисертації з теми "Drugs Prescribing Data processing"
Sithole, Jabulani S. "Longitudinal data models for evaluating change in prescribing patterns." Thesis, Keele University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327702.
Повний текст джерелаPatterson, Nona L. "Providing behavioral data to physicians for enhancing medication treatment for chronically mentally disabled individuals." Scholarly Commons, 1987. https://scholarlycommons.pacific.edu/uop_etds/2140.
Повний текст джерелаHu, Lihong, and 胡麗紅. "Application of neural networks in the first principles calculations and computer-aided drug design." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B45014796.
Повний текст джерелаTai, Hio Kuan. "Protein-ligand docking and virtual screening based on chaos-embedded particle swarm optimization algorithm." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3948431.
Повний текст джерела"The applications of image processing in biology and relevant data analysis." 2007. http://library.cuhk.edu.hk/record=b5893361.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2007.
Includes bibliographical references (leaves 63-64).
Abstract --- p.i
Acknowledgement --- p.iii
Chapter 0 --- Introduction --- p.1
Chapter 1 --- The Design of the Experiments --- p.4
Chapter 1.1 --- Flies and the Devices --- p.5
Chapter 1.2 --- Parameter Settings and Interested Information --- p.8
Chapter 2 --- Video Processing --- p.11
Chapter 2.1 --- "Videos, Computer Vision and Image Processing" --- p.11
Chapter 2.2 --- Details in Video Processing --- p.14
Chapter 3 --- Data Analysis --- p.20
Chapter 3.1 --- Background --- p.20
Chapter 3.2 --- Outline of Data Analysis in Our Project --- p.22
Chapter 4 --- Effect of the Medicine --- p.25
Chapter 4.1 --- Hypothesis Testing --- p.26
Chapter 4.2 --- Two-sample t Test --- p.28
Chapter 5 --- Significance of the Two Factors --- p.32
Chapter 5.1 --- Background of ANOVA --- p.33
Chapter 5.2 --- The Model of ANOVA --- p.35
Chapter 5.3 --- Two-way ANOVA in Our Data Analysis --- p.42
Chapter 6 --- Regression Model --- p.45
Chapter 6.1 --- Background of Regression Analysis --- p.47
Chapter 6.2 --- Polynomial Regression Models --- p.52
Chapter 6.2.1 --- Background --- p.52
Chapter 6.2.2 --- R2 and adjusted R2 --- p.53
Chapter 6.3 --- Model Verification --- p.58
Chapter 6.4 --- A Simpler Model As the Other Choice --- p.59
Chapter 6.5 --- Conclusions --- p.60
Chapter 7 --- Further Studies --- p.61
Bibliography --- p.62
"Computer-aided drug discovery and protein-ligand docking." 2015. http://repository.lib.cuhk.edu.hk/en/item/cuhk-1290642.
Повний текст джерелаWe first implemented a fast protein-ligand docking tool called idock, and obtained a substantial speedup over a popular counterpart. To facilitate the large-scale use of idock, we designed a heterogeneous web platform called istar, and collected a huge database of more than 23 million small molecules. To elucidate molecular interactions in web, we developed an interactive visualizer called iview. To synthesize novel compounds, we developed a fragment-based drug design tool called iSyn. To improve the predictive accuracy of binding affinity, we exploited the machine learning technique random forest to re-score both crystal and docked poses. To identify structurally similar compounds, we ported the ultrafast shape recognition algorithms to istar. All these tools are free and open source.
We applied our novel toolset to real world drug discovery. We repurposed anti-acne drug adapalene for the treatment of human colon cancer, and identified potential inhibitors of influenza viral proteins. Such new findings could hopefully save human lives.
開發一種新藥需要多至26億美元和13年半的時間。為節省金錢和時間,我們開發了一套計算機輔助藥物研發工具集,並運用該工具集尋找藥物治療癌症和流感。
我們首先實現了一個快速的蛋白與配體對接工具idock,相比一個同類流行軟件獲得了顯著的速度提升。為輔助idock 的大規模使用,我們設計了一個異構網站平台istar,收集了多達兩千三百萬個小分子的大型數據庫。為在網頁展示分子間相互作用,我們開發了一個交互式可視化軟件iview。為生成全新的化合物,我們開發了一個基於分子片段的藥物設計工具iSyn。為改進結合強度預測的精度,我們利用了機器學習技術隨機森林去重新打分晶體及預測構象。為尋找結構相似的化合物,我們移植了超快形狀識別算法至istar。所有這些工俱全是免費和開源。
我們應用了此創新工具集至現實世界藥物尋找中。我們發現抗痤瘡藥阿達帕林可用於治療人類結腸癌,亦篩選出流感病毒蛋白的潛在抑制物。這些新發現可望拯救人類生命。
Li, Hongjian.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2015.
Includes bibliographical references (leaves 340-394).
Abstracts also in Chinese.
Title from PDF title page (viewed on 15, September, 2016).
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
"A computational-based drug development framework." 2011. http://library.cuhk.edu.hk/record=b5894618.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2011.
Includes bibliographical references (p. 188-200).
Abstracts in English and Chinese.
Abstract --- p.i
Acknowledgement --- p.vi
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Obtain information on drug targets --- p.3
Chapter 1.2 --- Drug Design --- p.5
Chapter 1.3 --- Interface for interaction --- p.9
Chapter 1.4 --- Summary --- p.10
Chapter 2 --- Background Study --- p.12
Chapter 2.1 --- Protein Function Prediction --- p.16
Chapter 2.2 --- Drug Design --- p.37
Chapter 2.3 --- Visualisation and Interaction in Biomedic --- p.44
Chapter 3 --- Overview --- p.48
Chapter 3.1 --- Protein prediction using secondary structure analysis --- p.52
Chapter 3.2 --- Knowledge-driven ligand design --- p.55
Chapter 3.3 --- Interactive interface in virtual reality --- p.57
Chapter 4 --- Protein Function Prediction --- p.60
Chapter 4.1 --- Introduction --- p.61
Chapter 4.1.1 --- Motivation --- p.61
Chapter 4.1.2 --- Objective --- p.62
Chapter 4.1.3 --- Overview --- p.63
Chapter 4.2 --- Methods and Design --- p.66
Chapter 4.2.1 --- Feature Cell --- p.68
Chapter 4.2.2 --- Heterogeneous Vector --- p.71
Chapter 4.2.3 --- Feature Cell Similarity --- p.75
Chapter 4.2.4 --- Heterogeneous Vector Similarity --- p.79
Chapter 4.3 --- Experiments --- p.85
Chapter 4.3.1 --- Data Preparation --- p.85
Chapter 4.3.2 --- Experimental Methods --- p.87
Chapter 4.4 --- Results --- p.97
Chapter 4.4.1 --- Scalability --- p.97
Chapter 4.4.2 --- Cluster Quality --- p.99
Chapter 4.4.3 --- Classification Quality --- p.102
Chapter 4.5 --- Discussion --- p.103
Chapter 4.6 --- Conclusion --- p.104
Chapter 5 --- Drug Design --- p.106
Chapter 5.1 --- Introduction --- p.107
Chapter 5.1.1 --- Motivation --- p.107
Chapter 5.1.2 --- Objective --- p.109
Chapter 5.1.3 --- Overview --- p.109
Chapter 5.2 --- Methods --- p.111
Chapter 5.2.1 --- Fragment Joining --- p.115
Chapter 5.2.2 --- Genetic Operators --- p.116
Chapter 5.2.3 --- Post-Processing --- p.124
Chapter 5.3 --- Experiments --- p.128
Chapter 5.3.1 --- Data Preparation --- p.129
Chapter 5.3.2 --- Experimental Methods --- p.132
Chapter 5.4 --- Results --- p.134
Chapter 5.4.1 --- Binding Pose --- p.134
Chapter 5.4.2 --- Free Energy and Molecular Weight --- p.137
Chapter 5.4.3 --- Execution Time --- p.138
Chapter 5.4.4 --- Handling Phosphorus --- p.138
Chapter 5.5 --- Discussions --- p.139
Chapter 5.6 --- Conclusion --- p.140
Chapter 6 --- Interface in Virtual Reality --- p.142
Chapter 6.1 --- Introduction --- p.143
Chapter 6.1.1 --- Motivation --- p.143
Chapter 6.1.2 --- Objective --- p.145
Chapter 6.1.3 --- Overview --- p.145
Chapter 6.2 --- Methods and Design --- p.146
Chapter 6.2.1 --- Hybrid Drug Synthesis --- p.147
Chapter 6.2.2 --- Interactive Interface in Virtual Reality --- p.154
Chapter 6.3 --- Experiments and Results --- p.171
Chapter 6.3.1 --- Data Preparation --- p.171
Chapter 6.3.2 --- Experimental Settings --- p.172
Chapter 6.3.3 --- Results --- p.173
Chapter 6.4 --- Discussions --- p.176
Chapter 6.5 --- Conclusions --- p.179
Chapter 7 --- Conclusion --- p.180
A Glossary --- p.184
Bibliography --- p.188
Gadabu, Oliver Jintha. "Prescribing cotrimoxazole prophylactic therapy (CPT) before and after an electronic medical record system implementation in two selected hospitals in Malawi." Diss., 2013. http://hdl.handle.net/10500/14404.
Повний текст джерелаHealth Studies
M.A. (Public Health)
Fink, David S. "Effect modification by socioeconomic conditions on the effects of prescription opioid supply on drug poisoning deaths in the United States." Thesis, 2020. https://doi.org/10.7916/d8-4851-zb84.
Повний текст джерелаLokhande, Hrishikesh. "Pharmacodynamics miner : an automated extraction of pharmacodynamic drug interactions." Thesis, 2013. http://hdl.handle.net/1805/3757.
Повний текст джерелаPharmacodynamics (PD) studies the relationship between drug concentration and drug effect on target sites. This field has recently gained attention as studies involving PD Drug-Drug interactions (DDI) assure discovery of multi-targeted drug agents and novel efficacious drug combinations. A PD drug combination could be synergistic, additive or antagonistic depending upon the summed effect of the drug combination at a target site. The PD literature has grown immensely and most of its knowledge is dispersed across different scientific journals, thus the manual identification of PD DDI is a challenge. In order to support an automated means to extract PD DDI, we propose Pharmacodynamics Miner (PD-Miner). PD-Miner is a text-mining tool, which is capable of identifying PD DDI from in vitro PD experiments. It is powered by two major features, i.e., collection of full text articles and in vitro PD ontology. The in vitro PD ontology currently has four classes and more than hundred subclasses; based on these classes and subclasses the full text corpus is annotated. The annotated full text corpus forms a database of articles, which can be queried based upon drug keywords and ontology subclasses. Since the ontology covers term and concept meanings, the system is capable of formulating semantic queries. PD-Miner extracts in vitro PD DDI based upon references to cell lines and cell phenotypes. The results are in the form of fragments of sentences in which important concepts are visually highlighted. To determine the accuracy of the system, we used a gold standard of 5 expert curated articles. PD-Miner identified DDI with a recall of 75% and a precision of 46.55%. Along with the development of PD Miner, we also report development of a semantically annotated in vitro PD corpus. This corpus includes term and sentence level annotations and serves as a gold standard for future text mining.
Книги з теми "Drugs Prescribing Data processing"
Principles of electronic prescribing. London: Springer, 2008.
Знайти повний текст джерела), Centers for Medicare &. Medicaid Services (U S. E-prescribing: Connecting to better health care. [Baltimore, Md.?]: Centers for Medicare & Medicaid Services, 2008.
Знайти повний текст джерелаE-prescribing: The electronic transformation of medicine. Sudbury, Mass: Jones and Bartlett Publishers, 2009.
Знайти повний текст джерелаDuggan, Mark G. Does medicaid pay too much for prescription drugs?: A case study of atypical anti-psychotics. Cambridge, Mass: National Bureau of Economic Research, 2003.
Знайти повний текст джерелаVirginia. Dept. of Medical Assistance Services. Report on programs and incentives to encourage e-prescribing by Medicaid providers. Richmond, VA: Commonwealth of Virginia, 2009.
Знайти повний текст джерелаUnited States. Congress. Senate. A bill to amend title XVIII of the Social Security Act to provide incentives to physicians for writing electronic prescriptions. Washington, D.C: U.S. G.P.O., 2007.
Знайти повний текст джерелаUnited States. Congress. Senate. Committee on the Judiciary. Electronic prescribing of controlled substances: Addressing health care and law enforcement priorities : hearing before the Committee on the Judiciary, United States Senate, One Hundred Tenth Congress, first session, December 4, 2007. Washington: U.S. G.P.O., 2008.
Знайти повний текст джерелаElectronic prescribing: A safety and implementation guide. Sudbury, Mass: Jones and Bartlett Publishers, 2009.
Знайти повний текст джерелаBae, Jay. Medicaid drug use review demonstration projects: Report to Congress, 1995. [Baltimore, Maryland?]: U.S. Department of Health and Human Services,Health Care Financing Administration, Office of Research and Demonstrations, 2002.
Знайти повний текст джерелаSenate, United States Congress. A bill to amend title XVIII of the Social Security Act to require physician utilization of the Medicare electronic prescription drug program. Washington, D.C: U.S. G.P.O., 2007.
Знайти повний текст джерелаЧастини книг з теми "Drugs Prescribing Data processing"
Ghaemi, S. Nassir. "Carcinogenicity of Psychotropic Drugs." In Clinical Psychopharmacology, edited by S. Nassir Ghaemi, 307–10. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199995486.003.0025.
Повний текст джерелаAbel, Kathryn M. "Pregnancy prescribing of psychotropic drugs: Keeping pace in a contemporary landscape." In Perinatal Psychiatry. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199676859.003.0009.
Повний текст джерелаRashid, Mamoon, Vishal Goyal, Shabir Ahmad Parah, and Harjeet Singh. "Drug Prediction in Healthcare Using Big Data and Machine Learning." In Advances in Social Networking and Online Communities, 79–92. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9096-5.ch005.
Повний текст джерелаSchaefer, Christof. "Managing a patient exposed to a teratogenic drug at different stages of pregnancy." In Practical management of the pregnant patient with rheumatic disease, edited by Karen Schreiber, Eliza Chakravarty, and Monika Østensen, 85–92. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198845096.003.0008.
Повний текст джерелаJara, Antonio J., Mona Alsaedy, Alberto F. Alcolea, Miguel Zamora, and Antonio F. Gómez-Skarmeta. "Intelligent System to Quality Assurance in Drugs Delivery." In Quality Assurance in Healthcare Service Delivery, Nursing and Personalized Medicine, 187–202. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-120-7.ch010.
Повний текст джерелаMohapatra, Chinmayee, Biswaranjan Acharya, Siddhath Swarup Rautaray, and Manjusha Pandey. "Usage of Big Data Prediction Techniques for Predictive Analysis in HIV/AIDS." In Big Data Analytics in HIV/AIDS Research, 54–80. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3203-3.ch003.
Повний текст джерелаSabatier, Pierre, Jean Feydy, and Anne-Sophie Jannot. "Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data." In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220401.
Повний текст джерелаMorgan Snell, L., Andrew J. Barnes, and Peter Cunningham. "Epidemiology of Substance Use Disorders." In Substance Use Disorders, 3–28. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190920197.003.0001.
Повний текст джерелаOthman, Sarah Ben, Hayfa Zgaya, Michèle Vasseur, Bertrand Décaudin, Pascal Odou, and Slim Hammadi. "Introducing Augmented Reality Technique to Enhance the Preparation Circuit of Injectable Chemotherapy Drugs." In MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220121.
Повний текст джерелаGu, Linfeng, Sisi Li, Yutian Wang, Zhihui Lin, and Jingsong Wu. "Research on Intelligent Research Model of Clues in Cases of Production and Sale of Counterfeit Drugs." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220550.
Повний текст джерелаТези доповідей конференцій з теми "Drugs Prescribing Data processing"
Zhang, Wenqing. "Application of Quantitative Analysis of Controlled Targeted Drugs for Patients Based on Computer Big Data Technology." In 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). IEEE, 2022. http://dx.doi.org/10.1109/ipec54454.2022.9777462.
Повний текст джерелаZhang, Jianfei, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin Winstanley, Chuxu Zhang, and Yanfang Ye. "Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/755.
Повний текст джерелаStamatis, A., N. Aretakis, and K. Mathioudakis. "Blade Fault Recognition Based on Signal Processing and Adaptive Fluid Dynamic Modelling." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-197.
Повний текст джерелаZhijian, Lyu, Jiang Shaohua, Liang Yigao, and Gao Min. "GDGRU-DTA: Predicting Drug-Target Binding Affinity based on GNN and Double GRU." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120703.
Повний текст джерелаFerreira, Lucas, Cristiane Nobre, Luis Zárate, and Mark Song. "Study of the evolution of antiemetic treatment through the application of Triadic Formal Concept Analysis." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/kdmile.2021.17454.
Повний текст джерелаMigliorelli, Lucia, Annalisa Cenci, Michele Bernardini, Luca Romeo, Sara Moccia, and Primo Zingaretti. "A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97526.
Повний текст джерелаOliveira, Ricardo F., Senhorinha F. Teixeira, Helena Maria Cabral Marques, and José Carlos Teixeira. "A Correlative CFD Study Between Recirculation Area and FPM in VHC Design." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67329.
Повний текст джерелаЗвіти організацій з теми "Drugs Prescribing Data processing"
Halker Singh, Rashmi B., Juliana H. VanderPluym, Allison S. Morrow, Meritxell Urtecho, Tarek Nayfeh, Victor D. Torres Roldan, Magdoleen H. Farah, et al. Acute Treatments for Episodic Migraine. Agency for Healthcare Research and Quality (AHRQ), December 2020. http://dx.doi.org/10.23970/ahrqepccer239.
Повний текст джерелаApiyo, Eric, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving Pharmacovigilliance Quality Management System in the Pharmacy and Poisions Board of Kenya. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317444.
Повний текст джерелаStall, Nathan M., Kevin A. Brown, Antonina Maltsev, Aaron Jones, Andrew P. Costa, Vanessa Allen, Adalsteinn D. Brown, et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, January 2021. http://dx.doi.org/10.47326/ocsat.2021.02.07.1.0.
Повний текст джерела