참고문헌
- R. Singla, A. Mishra, and R. et al. Joshi, "Human animal interface of SARS-CoV-2 (COVID-19) transmission: a critical appraisal of scientific evidence," Springer Nature Switzerland, pp. 119-130 (2020).DOI:10.1007/s11259-020-09781-0, 2020.
- BBC News. (2020, December) Covid-19 pandemic: Tracking the global coronavirus outbreak. [Online]. https://www.bbc.com/news/world-51235105
- Our World in Data. (2020, January) Coronavirus Pandemic (COVID-19).[Online]. https://ourworldindata.org/coronavirus#citation
- V. Vara. (2020, April) Latest Analysis. [Online]. https://www.pharmaceuticaltechnology.com/features/coronavirus-outbreak-thecountries-affected/
- Worldometer. (2021, Aug.) Worldometer. [Online]. https://www.worldometers.info/coronavirus/
- WHO. (2021, January) WHO Coronavirus Disease (COVID-19) Dashboard. [Online]. https://covid19.who.int/
- IWK Health Center. (2021, July) Library Services. [Online]. https://library.nshealth.ca/COVID19Research/Publications
- S. H. Hodgson, K. Mansatta, and Mallet, G. et al, "What defines an efficacious COVID-19 vaccine? A review of the challenges assessing the clinical efficacy of vaccines against SARS-CoV-2," The Lancert,. DOI:10.1016/S1473-3099(20)30773-8, 2020.
- Z. Ceylan, "Estimation of COVID-19 prevalence in Italy, Spain, and France," PMC US National Library of Medicine National Institute of Health, DOI: 10.1016/j.scitotenv.2020.138817, 2020.
- L. Jia, K. Li, Y. Jiang, X. Guo, and T. zhao, "Prediction and analysis of Coronavirus Disease 2019," NASA Astrophysics Data System, [Online].https://arxiv.org/ftp/arxiv/papers/2003/2003.05447.pdf, 2020.
- A. Steptoe and L. Poole, Infectious Diseases: Psychosocial Aspects.: International Encyclopedia of the Social & Behavioral Sciences (Second Edition), 2015.
- World Health Organization. (2021, January) WHO Health Topic Page: Zoonoses. [Online]. https://www.who.int/topics/zoonoses/en/
- V. Chaurasia and S. Pal, "Application of machine learning time series analysis for prediction COVID-19 pandemic," Springer. DOI:10.1007/s42600-020-00105-4, 2020.
- K. A. Abuhasel, M. Khadr, and M. M. Alquraish, "Analyzing and forecasting COVID-19 pandemic in the Kingdom of Saudi Arabia using ARIMA SIR models," Wiley - Computational Intelligence, DOI: 10.1111/coin.12407, 2020.
- S. Chae, S. Kwon, and D. Lee, "Predicting Infectious Disease Using Deep Learning and Big Data," International Journal of Environmental Research and Public Health. DOI:10.3390/ijerph15081596, 2018.
- M Wang, H. Wang, J. Wang, and Lui et. al, "A novel model for malaria prediction based on ensemble algorithms," PLoS ONE, 14(12). DOI:10.1371/journal.pone.0226910, 2019.
- Y. Wang, C. Xu, S. Zhang, and Yang et. al, "Development and evaluation of a deep learning approach formodeling seasonality and trends in hand-foot-mouth disease incidence in mainland China," Springer Nature, 2019.
- Johns Hopkins University of Medicine. (2021, January) COVID-19 Dashboards by the Centerfor System Science and Engineering (CSSE) at Johns Hopkisn University. [Online]. https://coronavirus.jhu.edu/map.html
- Github. (2021, January) Github. [Online]. https://github.com/CSSEGISandData/COVID-19
- AccuWeather. (2021, January) Botswana Weather. [Online]. https://www.accuweather.com/en/bw/national/covid-19
- B. Fanoodi, B. Malmir, and F. F. Jahantigh, "Reducing demand uncertainty in platelet supply chain through artificial neural networks and ARIMA models," Elsevier Computers in Biology and Medicine.DOI: 10.1016/j.compbiomed.2019.103415, 2019.
- G.E.P. Box and G.M. Jenkins, Time Series Analysis: Forecasting and Control, Revised Edition. San Francisco: Holden Day, 1976.
- J. Fattah, L. Ezzine, and Z. Aman, "Forecasting of demand using ARIMA model ," Internationa Journal of Business Management, DOI:10.1177/1847979018808673, 2018.
- Z. Malkia, E Atlamb, E. Ewisc, and G etal Dagnewe, "ARIMA Models for Predicting the End of COVID-19 Pandemic and the Risk of a Second Rebound," Research square, DOI:10.21203/rs.3.rs-34702/v1, 2020.
- L. H. Koopmans, Multivariate Spectral Models and Their Applications. Science Direct - Elsevier, 1995.