Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study
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L. Ein-Dor | M. Rosen-Zvi | M. Guindy | G. Chodick | Michal Ozery-Flato | Efrat Hexter | Ora Pinchasov | Miel Dabush-Kasa
[1] Winnie A Mar,et al. Musculoskeletal Manifestations of COVID-19: Currently Described Clinical Symptoms and Multimodality Imaging Findings , 2022, Radiographics : a review publication of the Radiological Society of North America, Inc.
[2] V. Giordano,et al. What Do We Need to Know About Musculoskeletal Manifestations of COVID-19? , 2022, JBJS Reviews.
[3] J. London,et al. Evolving Effect of the COVID-19 Pandemic on Cancer-Related Encounters , 2022, JCO clinical cancer informatics.
[4] David A. Drew,et al. Self-reported COVID-19 vaccine hesitancy and uptake among participants from different racial and ethnic groups in the United States and United Kingdom , 2022, Nature communications.
[5] Á. Lanas,et al. The impact of COVID-19 pandemic in the diagnosis and management of colorectal cancer patients , 2022, Therapeutic advances in gastroenterology.
[6] P. Barbieri,et al. Lifestyle and mental health 1 year into COVID-19 , 2021, Scientific Reports.
[7] R. Peeters,et al. Prevalence and determinants of healthcare avoidance during the COVID-19 pandemic: A population-based cross-sectional study , 2021, PLoS medicine.
[8] V. Chernyak,et al. Review of COVID-19, part 2: Musculoskeletal and neuroimaging manifestations including vascular involvement of the aorta and extremities , 2021, Clinical Imaging.
[9] A. Israeli,et al. Addressing vaccine hesitancy and access barriers to achieve persistent progress in Israel’s COVID-19 vaccination program , 2021, Israel Journal of Health Policy Research.
[10] M. Mazza,et al. Will Nothing Be the Same Again?: Changes in Lifestyle during COVID-19 Pandemic and Consequences on Mental Health , 2021, International journal of environmental research and public health.
[11] P. Najt,et al. Brain imaging in patients with COVID-19: A systematic review , 2021, Brain, Behavior, & Immunity - Health.
[12] E. Giovannucci,et al. Has COVID-19 Affected Cancer Screening Programs? A Systematic Review , 2021, Frontiers in Oncology.
[13] A. Steptoe,et al. Longitudinal changes in physical activity during and after the first national lockdown due to the COVID-19 pandemic in England , 2021, Scientific Reports.
[14] Minjung Lee,et al. Avoidance of Healthcare Utilization in South Korea during the Coronavirus Disease 2019 (COVID-19) Pandemic , 2021, International journal of environmental research and public health.
[15] Elizabeth F. Jackson,et al. Assessing the indirect effects of COVID-19 on healthcare delivery, utilization and health outcomes: a scoping review , 2021, European journal of public health.
[16] D. Brodie,et al. Post-acute COVID-19 syndrome , 2021, Nature Medicine.
[17] Raju Vaishya,et al. Musculoskeletal manifestations of COVID-19 , 2021, Journal of Clinical Orthopaedics and Trauma.
[18] G. Troiano,et al. Vaccine hesitancy in the era of COVID-19 , 2021, Public Health.
[19] C. Nunes,et al. Factors Associated with COVID-19 Vaccine Hesitancy , 2021, Vaccines.
[20] I. Scott,et al. Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review , 2021, BMJ Open.
[21] T. Wong,et al. Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies , 2021, npj Digital Medicine.
[22] M. Hernán,et al. BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting , 2021, The New England journal of medicine.
[23] C. Horbinski,et al. Musculoskeletal involvement of COVID-19: review of imaging , 2021, Skeletal Radiology.
[24] Maureen A Smith,et al. Disparities in the Use of In-Person and Telehealth Primary Care Among High- and Low-Risk Medicare Beneficiaries During COVID-19 , 2021, Journal of patient experience.
[25] M. Tully,et al. Changes in physical activity and sedentary behaviours from before to during the COVID-19 pandemic lockdown: a systematic review , 2021, BMJ Open Sport & Exercise Medicine.
[26] A. Gholamrezanezhad,et al. Neuroimaging findings in COVID-19: A narrative review , 2020, Neuroscience Letters.
[27] S. Saccardo,et al. Lifestyle and mental health disruptions during COVID-19 , 2020, Proceedings of the National Academy of Sciences.
[28] G. Gigli,et al. Stroke in patients with COVID-19: Clinical and neuroimaging characteristics , 2020, Neuroscience Letters.
[29] Wei Wang,et al. Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics , 2020, Nature Communications.
[30] J. Antel,et al. Neurological complications of coronavirus infection; a comparative review and lessons learned during the COVID-19 pandemic , 2020, Journal of the Neurological Sciences.
[31] H. Krumholz,et al. Extrapulmonary manifestations of COVID-19 , 2020, Nature Medicine.
[32] M. Heneka,et al. Immediate and long-term consequences of COVID-19 infections for the development of neurological disease , 2020, Alzheimer's Research & Therapy.
[33] B. Ebert,et al. The impact of the COVID-19 pandemic on cancer care , 2020, Nature Cancer.
[34] Weiliang Tang,et al. Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy , 2020, European Radiology.
[35] Hugh Chen,et al. From local explanations to global understanding with explainable AI for trees , 2020, Nature Machine Intelligence.
[36] Joel Nothman,et al. SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.
[37] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[38] G. Chodick,et al. Renal impairment among postmenopausal women with osteoporosis from a large health plan in Israel , 2015, Archives of Osteoporosis.
[39] G. Chodick,et al. Prevalence and Factors Associated With Resistant Hypertension in a Large Health Maintenance Organization in Israel , 2014, Hypertension.
[40] Elizabeth A Stuart,et al. Prognostic score-based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research. , 2013, Journal of clinical epidemiology.
[41] G. Chodick,et al. The use of an automated patient registry to manage and monitor cardiovascular conditions and related outcomes in a large health organization. , 2011, International journal of cardiology.
[42] P. Austin. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies , 2011, Multivariate behavioral research.
[43] G. Chodick,et al. A retrospective study of the incidence of diagnosed Type 1 diabetes among children and adolescents in a large health organization in Israel, 2000–2008 , 2011, Diabetic medicine : a journal of the British Diabetic Association.
[44] Skipper Seabold,et al. Statsmodels: Econometric and Statistical Modeling with Python , 2010, SciPy.
[45] G. Chodick,et al. The epidemiology of diabetes in a large Israeli HMO , 2002, European Journal of Epidemiology.
[46] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .