Analyzing the intensity of COVID-19 outbreak across Indian landscape through recovery deceased ratio and positive test ratio based ARIMA model

References

• Y.-C. Liu, R.-L. Kuo, and S.-R. Shih, “COVID-19: The first documented coronavirus pandemic in history,” Biomedical journal, 2020.
   Web of Science ®Google Scholar
• Statistica. Available: https://www.statista.com/
   Google Scholar
• W. H. Organisation. Available: https://www.who.int/
   Google Scholar
• I. M. Mohfw. Available: https://www.mohfw.gov.in/
   Google Scholar
• I. D. f. Covid-19. Available: https://www.covid19india.org/
   Google Scholar
• F. Shahzad, U. Shahzad, Z. Fareed, N. Iqbal, S. H. Hashmi, and F. Ahmad, “Asymmetric nexus between temperature and COVID-19 in the top ten affected provinces of China: A current application of quantile-on-quantile approach,” Science of The Total Environment, p. 139115, 2020.
   Web of Science ®Google Scholar
• J. D. Runkle, M. M. Sugg, R. D. Leeper, Y. Rao, J. L. Mathews, and J. J. Rennie, “Short-term effects of weather parameters on COVID-19 morbidity in select US cities,” Science of The Total Environment, p. 140093, 2020. doi: 10.1016/j.scitotenv.2020.140093
   PubMed Web of Science ®Google Scholar
• M. F. Bashir, B. Ma, B. Komal, M. A. Bashir, D. Tan, and M. Bashir, “Correlation between climate indicators and COVID-19 pandemic in New York, USA,” Science of The Total Environment, p. 138835, 2020. doi: 10.1016/j.scitotenv.2020.138835
   PubMed Web of Science ®Google Scholar
• G. D. Sharma and M. Mahendru, “Lives or livelihood: Insights from locked-down India due to COVID19,” Social Sciences & Humanities Open, 2020.
   PubMedGoogle Scholar
• M. M. Menebo, “Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway,” Science of The Total Environment, p. 139659, 2020. doi: 10.1016/j.scitotenv.2020.139659
   PubMed Web of Science ®Google Scholar
• J. Wang, K. Tang, K. Feng, and W. Lv, “High temperature and high humidity reduce the transmission of COVID-19,” Available at SSRN 3551767, 2020.
   Google Scholar
• Y. Wu, W. Jing, J. Liu, Q. Ma, J. Yuan, Y. Wang, M. Du, and M. Liu, “Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries,” Science of the Total Environment, p. 139051, 2020. doi: 10.1016/j.scitotenv.2020.139051
   PubMed Web of Science ®Google Scholar
• S. K. Pani, N.-H. Lin, and S. RavindraBabu, “Association of COVID-19 pandemic with meteorological parameters over Singapore,” Science of The Total Environment, p. 140112, 2020. doi: 10.1016/j.scitotenv.2020.140112
   PubMed Web of Science ®Google Scholar
• V. Bhatnagar, R. C. Poonia, P. Nagar, S. Kumar, V. Singh, L. Raja, and P. Dass, “Descriptive analysis of COVID-19 patients in the context of India,” Journal of Interdisciplinary Mathematics, pp. 1-16, 2020. doi: 10.1080/09720502.2020.1761635
   Web of Science ®Google Scholar
• H. S. Gopalan and A. Misra, “COVID-19 Pandemic and Challenges for Socio-economic Issues, Healthcare and National Programs in India,” Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2020.
   Web of Science ®Google Scholar
• J. D. Berman and K. Ebisu, “Changes in US air pollution during the COVID-19 pandemic,” Science of the Total Environment, p. 139864, 2020. doi: 10.1016/j.scitotenv.2020.139864
   PubMedGoogle Scholar
• A. Tomar and N. Gupta, “Prediction for the spread of COVID-19 in India and effectiveness of preventive measures,” Science of The Total Environment, p. 138762, 2020. doi: 10.1016/j.scitotenv.2020.138762
   PubMed Web of Science ®Google Scholar
• S. Singh, K. S. Parmar, J. Kumar, and S. J. S. Makkhan, “Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19,” Chaos, Solitons & Fractals, p. 109866, 2020. doi: 10.1016/j.chaos.2020.109866
   PubMed Web of Science ®Google Scholar
• V. K. R. Chimmula and L. Zhang, “Time series forecasting of COVID-19 transmission in Canada using LSTM networks,” Chaos, Solitons & Fractals, p. 109864, 2020. doi: 10.1016/j.chaos.2020.109864
   PubMed Web of Science ®Google Scholar
• D. Fanelli and F. Piazza, “Analysis and forecast of COVID-19 spreading in China, Italy and France,” Chaos, Solitons & Fractals, vol. 134, p. 109761, 2020. doi: 10.1016/j.chaos.2020.109761
   PubMed Web of Science ®Google Scholar
• V. Bhatnagar and R. C. Poonia, “Design of prototype model for irrigation based decision support system,” Journal of Information and Optimization Sciences, vol. 39, pp. 1607-1612, 2018. doi: 10.1080/02522667.2018.1507763
   Web of Science ®Google Scholar
• R. P. Duncan-Jones, “The impact of the Antonine plague,” Journal of Roman Archaeology, vol. 9, pp. 108-136, 1996. doi: 10.1017/S1047759400016524
   Google Scholar
• C. Bruun, “The Antonine plague and the ‘third-century crisis’,” in Crises and the Roman Empire, ed: Brill, 2007, pp. 201-217.
   Google Scholar
• D. M. Wagner, J. Klunk, M. Harbeck, A. Devault, N. Waglechner, J. W. Sahl, J. Enk, D. N. Birdsell, M. Kuch, and C. Lumibao, “Yersinia pestis and the Plague of Justinian 541–543 AD: a genomic analysis,” The Lancet infectious diseases, vol. 14, pp. 319-326, 2014. doi: 10.1016/S1473-3099(13)70323-2
   PubMed Web of Science ®Google Scholar
• R. Findlay and M. Lundahl, “Demographic shocks and the factor proportions model: from the plague of Justinian to the Black Death,” in The Economics of the Frontier, ed: Springer, 2017, pp. 125-172.
   Google Scholar
• A. Suzuki, “Smallpox and the epidemiological heritage of Modern Japan: towards a total history,” Medical history, vol. 55, pp. 313-318, 2011. doi: 10.1017/S0025727300005329
   PubMed Web of Science ®Google Scholar
• R. S. Gottfried, Black death: Simon and Schuster, 2010.
   Google Scholar
• P. Ziegler, The black death: Faber & Faber, 2013.
   Google Scholar
• W. G. Bell, “The great plague in London in 1665,” The Great Plague in London in 1665., 1924.
   Google Scholar
• G. Leonetti, M. Signoli, A. L. Pelissier, P. Champsaur, I. Hershkovitz, C. Brunet, and O. Dutour, “Evidence of Pin Implantation as a Means of Verifying Death During the Great Plague of Marseilles (1722),” Journal of Forensic Science, vol. 42, pp. 744-748, 1997. doi: 10.1520/JFS14197J
   PubMed Web of Science ®Google Scholar
• R. I. Glass and R. E. Black, “The epidemiology of cholera,” in Cholera, ed: Springer, 1992, pp. 129-154. doi: 10.1007/978-1-4757-9688-9_7
   Google Scholar
• L. Shi, G. Yang, Z. Zhang, L. Xia, Y. Liang, H. Tan, J. He, J. Xu, Z. Song, and W. Li, “Reemergence of human plague in Yunnan, China in 2016,” PLoS One, vol. 13, p. e0198067, 2018.
   Web of Science ®Google Scholar
• S. R. Christophers, Aedes aegypti: the yellow fever mosquito: CUP Archive, 1960.
   Google Scholar
• M. B. Gregg, A. R. Hinman, and R. B. Craven, “The Russian flu: its history and implications for this year’s influenza season,” Jama, vol. 240, pp. 2260-2263, 1978. doi: 10.1001/jama.1978.03290210042022
   PubMed Web of Science ®Google Scholar
• A. Trilla, G. Trilla, and C. Daer, “The 1918 “Spanish flu” in Spain,” Clinical infectious diseases, vol. 47, pp. 668-673, 2008. doi: 10.1086/590567
   Google Scholar
• C. Jackson, “History lessons: the Asian Flu pandemic,” British Journal of General Practice, vol. 59, pp. 622-623, 2009. doi: 10.3399/bjgp09X453882
   PubMed Web of Science ®Google Scholar
• C. f. D. Control, HIV/AIDs surveillance: US Department of Health and Human Services, Public Health Service, Centers … , 1990.
   Google Scholar
• G. F. Gensini, M. H. Yacoub, and A. A. Conti, “The concept of quarantine in history: from plague to SARS,” Journal of Infection, vol. 49, pp. 257-261, 2004. doi: 10.1016/j.jinf.2004.03.002
   PubMed Web of Science ®Google Scholar
• P. Kostkova, M. Szomszor, and C. St. Louis, “# swineflu: The use of twitter as an early warning and risk communication tool in the 2009 swine flu pandemic,” ACM Transactions on Management Information Systems (TMIS), vol. 5, pp. 1-25, 2014. doi: 10.1145/2597892
   Google Scholar
• C. T. Bauch and T. Oraby, “Assessing the pandemic potential of MERS-CoV,” The Lancet, vol. 382, pp. 662-664, 2013. doi: 10.1016/S0140-6736(13)61504-4
   PubMed Web of Science ®Google Scholar
• E. T. Richardson, M. B. Barrie, J. D. Kelly, Y. Dibba, S. Koedoyoma, and P. E. Farmer, “Biosocial approaches to the 2013-2016 Ebola pandemic,” Health and human rights, vol. 18, p. 115, 2016.
   PubMed Web of Science ®Google Scholar
• G. E. Box, G. M. Jenkins, G. C. Reinsel, and G. M. Ljung, Time series analysis: forecasting and control: John Wiley & Sons, 2015.
   Google Scholar
• S. Makridakis and M. Hibon, “ARMA models and the Box–Jenkins methodology,” Journal of Forecasting, vol. 16, pp. 147-163, 1997. doi: 10.1002/(SICI)1099-131X(199705)16:3<147::AID-FOR652>3.0.CO;2-X
   Web of Science ®Google Scholar
• Vijander Singh, Ramesh Chandra Poonia, Sandeep Kumar, Pranav Dass, Pankaj Agarwal, Vaibhav Bhatnagar, Linesh Raja, “Prediction of COVID-19 corona virus pandemic based on time series data using Support Vector Machine”, Journal of Discrete Mathematical Sciences & Cryptography, 2020.
   Web of Science ®Google Scholar