References
- Barnes, B., & Fulford, G.R. (2002). Mathematical Modelling with case studies, A differential equation approach using Maple, Taylor and Francis, London and New York, 2002.
- Huang, C., Wang, Y., Li, X., Rem, L., Zhao, J., Hu, Y., et al. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet.
- Shen, M., Peng, Z., Xiao, Y. (2020) . Modeling the epidemic trend of the 2019 novel coronavirus outbreak in China. bioRxiv.
- World Health Organization (WHO). Coronavirus. 2020.
- Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., et al., (2020). Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl. J Med. https://doi.org/10.1056/NEJMoa2001316. Return to ref 3 in article
- Wu, J.T., Leung, K., Leung, G M., Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020. https://doi.org/10.1016/S0140-6736(20)30260-9
- Ivorra, B., Ferrández, M.R., Vela-Pérez, M., Ramos A.M., (2020) Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China, pp.1-29. file:///C:/Users/MM/Downloads/2020-04-01-02-art-Coronavirus-China-RG.pdf
- Li, Y., Wang, B., Peng, R., Zhou, C., Zhan, Y., Liu, Z., et al. (2020). Mathematical Modeling and Epidemic Prediction of COVID-19 and Its Significance to Epidemic Prevention and Control Measures. Ann Infect Dis Epidemiol, 5(1): 1052.
- Bhola, J., Venkateswaran, V., Koul M., Corona Epidemic in India Context : Predictive Mathematical Modelling. https://doi.org/10.1101/2020.04.03.20047175.
- Bhatnagar, V., Poonia, R. C., et al. (2020). Descriptive analysis of COVID-19 patients in the context of India, Journal of Interdisciplinary Mathematics pp.1-16. doi: 10.1080/09720502.2020.1761635
- Singh, V., Poonia, R. C., Kumar, S., Dass, P., Agarwal, P., Bhatnagar, V., Raja, L., (2020). Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine, Journal of Discrete Mathematical Sciences & Cryptography (accepted).
- Sharma, D., and Chandra, P., (2020). Linear regression with factor analysis in fault prediction of software, Journal of Interdisciplinary Mathematics 23.1: 11-19. doi: 10.1080/09720502.2020.1721641