Email this article Network modeling for the employment structure of the computed tomography rooms staff during the COVID-19 pandemic: some examples of medical organizations of the Moscow Healthcare Department
- Authors: Omelchenko A.V.1, Shakhabov I.V.1, Polishchuk N.S.1
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Affiliations:
- Scientific and Practical Clinical Center for Diagnostics and Telemedicine of the Moscow Department of Health
- Issue: Vol 2, No 1S (2021)
- Pages: 28-29
- Section: Articles
- URL: https://journals.rcsi.science/DD/article/view/70260
- DOI: https://doi.org/10.17816/DD20211s28
- ID: 70260
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##article.viewOnOriginalSite##About the authors
A. V. Omelchenko
Scientific and Practical Clinical Center for Diagnostics and Telemedicine of the Moscow Department of Health
Author for correspondence.
Email: polishchuk@npcmr.ru
Russian Federation, Moscow
I. V. Shakhabov
Scientific and Practical Clinical Center for Diagnostics and Telemedicine of the Moscow Department of Health
Email: polishchuk@npcmr.ru
Russian Federation, Moscow
N. S. Polishchuk
Scientific and Practical Clinical Center for Diagnostics and Telemedicine of the Moscow Department of Health
Email: polishchuk@npcmr.ru
Russian Federation, Moscow
References
- Luke DA, Harris JK. Network analysis in public health: history, methods, and applications. Annu Rev Public Health. 2007;28:69–93. doi: 10.1146/annurev.publhealth.28.021406.144132
- Patel RR, Luke DA, Proctor EK, et al. Sex venue-based network analysis to identify HIV prevention dissemination targets for men who have sex with men. LGBT Health. 2018;5(1):78–85. doi: 10.1089/lgbt.2017.0018
- Prusaczyk B, Maki J, Luke DA, Lobb R. Rural health networks: how network analysis can inform patient care and organizational collaboration in a rural breast cancer screening network. J Rural Health. 2019;35(2):222–228. doi: 10.1111/jrh.12302
- Luke DA, Harris JK, Shelton S, et al. Systems analysis of collaboration in 5 national tobacco control networks. Am J Public Health. 2010;100(7):1290–1297. doi: 10.2105/AJPH.2009.184358
- R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria; 2020. Available online at https://www.R-project.org/.
