International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.12(5) (2021)

References

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  2. Benvenuto, D., Giovanetti, M., Vassallo, L., Angeletti, S., & Ciccozzi, M. (2020). Application of the ARIMA model on the COVID-2019 epidemic dataset. Data in Brief, 29, 105340. https://doi.org/10.1016/j.dib.2020.105340
  3. Box GE, Jenkins GM, Reinsel GC, L. G. (2015). Time Series Analysis: Forecasting and Control. John Wiley & Sons.
  4. Chen, P., Yuan, H., Shu, X. (2008). Forecasting crime using the ARIMA model. In Proceedings - 5th international conference on fuzzy systems and knowledge discovery, 5. FSKD,. 627-630. https://doi.org/10.1109/FSKD.2008.222.
  5. Chen, Y., Cheng, J., Jiang, X., & Xu, X. (2020). The Reconstruction and Prediction Algorithm of the Fractional TDD for the Local Outbreak of COVID-19. 1-8. http://arxiv.org/abs/2002.10302
  6. Cohen, J. (2020). Wuhan Seafood Market may not be Source of Novel Virus Spreading Globally. Science, 10. https://doi.org/10.1126/science.abb0611 ISSN 0036-8075
  7. NIH (2020). COVID-19 Health Advisory Platform by Ministry of National Health Services Regulations and Coordination. https://covid.gov.pk
  8. Iqbal, N. (2020). COVID-19 in Pakistan: Caring for the Poor and Vulnerable. PIDE COVID-19 Bulletin, 1(1).
  9. Koczkodaj, W. W., Mansournia, M. A., Pedrycz, W., Wolny-Dominiak, A., Zabrodskii, P. F., Strza?ka, D., Armstrong, T., Zolfaghari, A. H., D?bski, M., & Mazurek, J. (2020). 1,000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic. Global Epidemiology, 2, 100023. https://doi.org/10.1016/j.gloepi.2020.100023
  10. Kumar, P., Kalita, H., Patairiya, S., Sharma, Y. D., Nanda, C., Rani, M., Rahmai, J., & Bhagavathula, A. S. (2020). Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020 through ARIMA Model with Machine Learning Approach. MedRxiv, April, 2020.03.30.20046227. https://doi.org/10.1101/2020.03.30.20046227
  11. Liu, Q., Liu, X., Jiang, B., & Yang, W. (2011). Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model. BMC Infectious Diseases, 11. https://doi.org/10.1186/1471-2334-11-218.
  12. Maleki, M., Mahmoudi, M. R., Wraith, D., & Pho, K. H. (2020). Time series modelling to forecast the confirmed and recovered cases of COVID-19. Travel Medicine and Infectious Disease, March, 101742. https://doi.org/10.1016/j.tmaid.2020.101742
  13. Molina LL, Ang?n E, Garc?a A, Moralejo R.H., Caballero-Villalobos J, P. J. (2018). Time series analysis of bovine venereal diseases in La Pampa, Argentina. PLoS One 13. https://doi.org/doi.org/10.1371/journal.pone.0201739
  14. NIH (2020). COVID-19 Health Advisory Platform by Ministry of National Health Services Regulations and Coordination. National Institute of Health of Pakistan. https://www.nih.org.pk/novel-coranavirus-2019-ncov and https://covid.gov.pk
  15. WHO. (2020). Novel coronavirus (2019-nCoV).World Health Organization https://www.who.int
  16. Quick-R: (2020). Time Series. https://www.statmethods.net/advstats/timeseries.html
  17. Roosa, K., Lee, Y., Luo, R., Kirpich, A., Rothenberg, R., Hyman, J. M., Yan, P., & Chowell, G. (2020). Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020. Infectious Disease Modelling, 5, 256-263. https://doi.org/10.1016/j.idm.2020.02.002
  18. Zhang, X., Zhang, T., Young, A. A., & Li, X. (2014). Applications and comparisons of four-time series models in epidemiological surveillance data. PLoS ONE, 9(2), 1-16. https://doi.org/10.1371/journal.pone.0088075


Other issues:
Vol.12(3)(2021)
Vol.12(2)(2021)
Vol.12(1)(2021)
Vol.11(16)(2020)
Vol.11(15)(2020)
Vol.11(14)(2020)
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