Keywords and phrases: COVID-19, anxiety, depression, decision tree, logistic regression, linear discriminant.
Received: March 18, 2021; Accepted: May 17, 2021; Published: June 2, 2021
How to cite this article: Randa Alharbi, Dalia Alnagar, Alanazi Talal Abdulrahman and Osama Alamri, Statistical methods to represent the anxiety and depression experienced in Almadinh KSA during COVID-19, JP Journal of Biostatistics 18(2) (2021), 231-248. DOI: 10.17654/JB018020231
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
Reference:
[1] Gulsum Akdeniz, Mariam Kavakci, Muharrem Gozugok, Semiha Yalcinkaya, Alper Kucukay and Bilal Sahutogullari, A survey of attitudes, anxiety status and protective behaviors of the university students during the covid-19 outbreak in Turkey, Frontiers in Psychiatry, 11, 2020. [2] Hamad S. Alyami, Abdallah Y. Naser, Eman Zmaily Dahmash, Mohammed H. Alyami, Osama T. Al Meanazel, Ayat T. Al-Meanazel and Osaid T. Al Meanazel, Depression and anxiety during 2019 coronavirus disease pandemic in Saudi Arabia: a cross-sectional study. medRxiv, 2020. [3] Matthew N. Anyanwu and Sajjan G. Shiva, Comparative analysis of serial decision tree classification algorithms, International Journal of Computer Science and Security 3(3) (2009), 230-240. [4] John W Ayers, Eric C. Leas, Derek C. Johnson, Adam Poliak, Benjamin M. Althouse, Mark Dredze and Alicia L. Nobles, Internet searches for acute anxiety during the early stages of the covid-19 pandemic, JAMA Internal Medicine, 2020. [5] S. Capolongo, M. Gola, A. Brambilla, A. Morganti, E. I. Mosca and P. Barach, Covid-19 and healthcare facilities: a decalogue of design strategies for resilient hospitals, Acta. Bio. Med. 91 (2020), 50-60. [6] Joseph F. Hair, Rolph E. Anderson, Ronald L. Tatham, William C. Black et al., Analisis multivariante, Vol. 491, Prentice Hall Madrid, 1999. [7] Paul R. Harper, A review and comparison of classification algorithms for medical decision making, Health Policy 71(3) (2005), 315-331. [8] David W. Hosmer Jr., Stanley Lemeshow and Rodney X. Sturdivant, Applied Logistic Regression, volume 398, John Wiley & Sons, 2013. [9] Md. Akhtarul Islam, Sutapa Dey Barna, Hasin Raihan, Md. Nafiul Alam Khan and Md. Tanvir Hossain, Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey, PloS One 15(8) (2020), e0238162. [10] Md. Saiful Islam, Most Zannatul Ferdous and Marc N. Potenza, Panic and generalized anxiety during the covid-19 pandemic among Bangladeshi people: An online pilot survey early in the outbreak, Journal of Affective Disorders 276 (2020), 30-37. [11] Saiful Islam, Rejina Akter, Tajuddin Sikder and Mark D. Griffiths, Prevalence and factors associated with depression and anxiety among first-year university students in Bangladesh: a cross-sectional study, International Journal of Mental Health and Addiction (2020), 1-14. [12] Hua Jin, Ying Lu, Steven T. Harris, Dennis M. Black, Katie Stone, Marc C. Hochberg and Harry K. Genant, Classification algorithms for hip fracture prediction based on recursive partitioning methods, Medical Decision Making 24(4) (2004), 386-398. [13] J. Dave Jobson, Applied multivariate data analysis: volume II: Categorical and Multivariate Methods, Springer Science & Business Media, 2012. [14] Leodoro J. Labrague and Janet Alexis A. De los Santos, Covid-19 anxiety among front-line nurses: Predictive role of organisational support, personal resilience and social support, Journal of Nursing Management 28(7) (2020), 1653-1661. [15] Isabel Lasheras, Patricia Gracia-Garcia, Darren M. Lipnicki, Juan Bueno-Notivol, Raul Lopez-Anton, Concepcion de la Camara, Antonio Lobo and Javier Santabarbara, Prevalence of anxiety in medical students during the covid-19 pandemic: A rapid systematic review with meta-analysis, International Journal of Environmental Research and Public Health 17(18) (2020), 6603. [16] Wei-Yin Loh, Classification and regression trees, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1(1) (2011), 14-23. [17] Kristin Vivian Lundberg, Women weaving well-being: The Social Reproduction of Health in Laos, University of Kansas, 2008. [18] Martin McKee and David Stuckler, If the world fails to protect the economy, covid-19 will damage health not just now but also in the future, Nature Medicine 26(5) (2020), 640-642. [19] Mohammad Nurunnabi, Syed Far Abid Hossain Hossain, Karuthan Chinna, Sheela Sundarasen, Heba Bakr Khoshaim, Kamilah Kamaludin, Gul Mohammad Baloch, Areej Sukayt and Xu Shan, Coping strategies of students for anxiety during the COVID-19 pandemic in China: a cross-sectional study, F1000 Research 9(1115) (2020), 1-16. [20] Nirmita Panchal et al., The implications of COVID-19 for mental health and substance use, Kaiser Family Foundation, 2020. [21] Harsh H. Patel and Purvi Prajapati, Study and analysis of decision tree based classification algorithms, International Journal of Computer Sciences and Engineering 6(10) (2018), 74-78. [22] Nader Salari, Amin Hosseinian-Far, Rostam Jalali, Aliakbar Vaisi-Raygani, Shna Ra-soulpoor, Masoud Mohammadi, Shabnam Rasoulpoor and Behnam Khaledi-Paveh, Prevalence of stress, anxiety, depression among the general population during the covid-19 pandemic: a systematic review and meta-analysis, Globalization and Health 16(1) (2020), 1-11. [23] Robert L. Spitzer, Kurt Kroenke, Janet B. W. Williams and Bernd Lowe, A brief measure for assessing generalized anxiety disorder: the gad-7, Archives of Internal Medicine 166(10) (2006), 1092-1097.
|