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Year 2020, Volume: 3 Issue: 1, 12 - 26, 17.09.2020

Abstract

References

  • [1] WHO, Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations, “https://www.who.int/news-room/commentaries/detail/modes-of-transmission-of-virus-causing-covid-19-implications-for-ipc-precaution-recommendations”.
  • [2] Y. R. Guo, Q. D. Cao , Z. S. Hong , Y. Y. Tan, S. D. Chen , H. J. Jin , K. S. Tan, D. Y. Wang and Yan, The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status, Military Medical Research 7(11) 2020, 1-10.
  • [3] S. P. Adhikari , S. Meng , Y. J. Wu , Y. P. Mao , R. X. Ye , Q. Z. Wang , C. Sun , S. Sylvia , S. Rozelle , H. Raat and H. Zhou, Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review, Infectious Diseases of Poverty (2020) 9:29.
  • [4] S. A. Lauer, K. H. Grantz, Q. Bi, F. K. Jones, Q. Zheng, H. R. Meredith, A. S. Azman, N. G. Reich, J. Lessler, The incubation period of Coronavirus Disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application, Annals of Internal Medicine 172(9) 2020, 577-582.
  • [5] WHO, Coronavirus disease 2019 (COVID-19) Situation Report – 73 “https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf?sfvrsn=5ae25bc7_4”
  • [6] CDC, Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19), “https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html”
  • [7] K. Ozkan “How close are we to a Covid-19 vaccine?” J. Pure Appl. Microbiology, 14(Special Edition), 2020, 6201
  • [8] N. Lurie, M. Saville, R. Hatchett, and J. Halton “Developing Covid-19 Vaccines at Pandemic Speed” The New England Journal Of Medicine 382(21) 2020, 1969-1973.
  • [9] M. Singh, P. Sarkhel, G. J. Kang, A. Marathe, K. Boyle, P. Murray-Tuite, K. M. Abbas and S. Swarup, Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States, BMC Infectious Diseases 19 (2019), 221.
  • [10] P. Suppawittaya , P. Yiemphat , P. Yasri, Effects of social distancing, self-quarantine and self-isolation during the COVID-19 pandemic on people’s well-being, and how to cope with it, International Journal of Science and Healthcare Research, 5(2) 2020, 12-20.
  • [11] J. A. Lewnard and N. C. Lo, Scientific and ethical basis for social-distancing interventions against COVID-19, Lancet Infect Dis. 2020.
  • [12] B. Ivorra , M. R. Ferrández, M. Vela-Pérez, A.M. Ramos, Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China, Commun Nonlinear Sci Numer Simulat 88 (2020) 105303
  • [13] Y. Li, B. Wang, R. Peng, C. Zhou, Y. Zhan, Z. Liu, X. Jiang and B. Zhao “Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures” Annals of Infectious Disease and Epidemiology, 5 (1) 2020, Article 1052.
  • [14] J. Panovska-Griffiths “Can mathematical modelling solve the current Covid-19 crisis?, BMC Public Health (2020) 20:551.
  • [15] K. Liang, Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS” Infection, Genetics and Evolution, 82, 104306.
  • [16] Zafer Cakir, Hasan Basri Savas “A Mathematical Modelling Approach in the Spread of the Novel 2019 Coronavirus SARS-CoV-2 (COVID-19) Pandemic” Electronic Journal of General Medicine 17(4) 2020, 1-3.
  • [17] S.Kim, Y. Seo, E. Jung, Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes in Korea, Epidemiology and Health Volume: 42, Article ID: e2020026.
  • [18] A. J. Kucharski, T. W. Russell, C. Diamond, Y. Liu, J. Edmunds, S. Funk, R. M. Eggo, Early dynamics of transmission and control of COVID-19: a mathematical modelling study, The Lancet Infectious Diseases, 2020, 553-558.
  • [19] N. P. Jewel, Predictive mathematical models of the COVID-19 pandemic underlying principles and value of projections, Journal of the American Medical Association, 323(19) 2020, 1893-1894.
  • [20] A.R. Tuite, D. N. Fisman, A. L. Greer, Mathematical modelling of COVID-19 transmission and mitigation strategies in the population of Ontario, Canada, 11 (192) 2020, 497-505.
  • [21] Word meter website https://www.worldometers.info/coronavirus/
  • [22] https://www.mathworks.com/campaigns/products/trials.html
  • [23] https://www.mathworks.com/matlabcentral/profile/authors/277505-aasim-azooz

Empirical Parametrization of COVID-19 Virus Pandemic

Year 2020, Volume: 3 Issue: 1, 12 - 26, 17.09.2020

Abstract

Published global data for the infections and mortalities caused by the corona virus for the period between January-22 and June-1-2020 are used to build and test an empirical model equation that uses past trends in the data to predict near and medium future behavior of the pandemic. Extrapolation of the empirical model equation suggested for the time development of the numbers of infections and deaths is used to make approximate predictions concerning the disease leveling of the ultimate numbers of infections and deaths. Such analysis can be useful in the assessment of the particular measures adapted by each country in its efforts to hinder the spread of the virus infections.

References

  • [1] WHO, Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations, “https://www.who.int/news-room/commentaries/detail/modes-of-transmission-of-virus-causing-covid-19-implications-for-ipc-precaution-recommendations”.
  • [2] Y. R. Guo, Q. D. Cao , Z. S. Hong , Y. Y. Tan, S. D. Chen , H. J. Jin , K. S. Tan, D. Y. Wang and Yan, The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status, Military Medical Research 7(11) 2020, 1-10.
  • [3] S. P. Adhikari , S. Meng , Y. J. Wu , Y. P. Mao , R. X. Ye , Q. Z. Wang , C. Sun , S. Sylvia , S. Rozelle , H. Raat and H. Zhou, Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review, Infectious Diseases of Poverty (2020) 9:29.
  • [4] S. A. Lauer, K. H. Grantz, Q. Bi, F. K. Jones, Q. Zheng, H. R. Meredith, A. S. Azman, N. G. Reich, J. Lessler, The incubation period of Coronavirus Disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application, Annals of Internal Medicine 172(9) 2020, 577-582.
  • [5] WHO, Coronavirus disease 2019 (COVID-19) Situation Report – 73 “https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf?sfvrsn=5ae25bc7_4”
  • [6] CDC, Interim Clinical Guidance for Management of Patients with Confirmed Coronavirus Disease (COVID-19), “https://www.cdc.gov/coronavirus/2019-ncov/hcp/clinical-guidance-management-patients.html”
  • [7] K. Ozkan “How close are we to a Covid-19 vaccine?” J. Pure Appl. Microbiology, 14(Special Edition), 2020, 6201
  • [8] N. Lurie, M. Saville, R. Hatchett, and J. Halton “Developing Covid-19 Vaccines at Pandemic Speed” The New England Journal Of Medicine 382(21) 2020, 1969-1973.
  • [9] M. Singh, P. Sarkhel, G. J. Kang, A. Marathe, K. Boyle, P. Murray-Tuite, K. M. Abbas and S. Swarup, Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States, BMC Infectious Diseases 19 (2019), 221.
  • [10] P. Suppawittaya , P. Yiemphat , P. Yasri, Effects of social distancing, self-quarantine and self-isolation during the COVID-19 pandemic on people’s well-being, and how to cope with it, International Journal of Science and Healthcare Research, 5(2) 2020, 12-20.
  • [11] J. A. Lewnard and N. C. Lo, Scientific and ethical basis for social-distancing interventions against COVID-19, Lancet Infect Dis. 2020.
  • [12] B. Ivorra , M. R. Ferrández, M. Vela-Pérez, A.M. Ramos, Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China, Commun Nonlinear Sci Numer Simulat 88 (2020) 105303
  • [13] Y. Li, B. Wang, R. Peng, C. Zhou, Y. Zhan, Z. Liu, X. Jiang and B. Zhao “Mathematical modeling and epidemic prediction of COVID-19 and its significance to epidemic prevention and control measures” Annals of Infectious Disease and Epidemiology, 5 (1) 2020, Article 1052.
  • [14] J. Panovska-Griffiths “Can mathematical modelling solve the current Covid-19 crisis?, BMC Public Health (2020) 20:551.
  • [15] K. Liang, Mathematical model of infection kinetics and its analysis for COVID-19, SARS and MERS” Infection, Genetics and Evolution, 82, 104306.
  • [16] Zafer Cakir, Hasan Basri Savas “A Mathematical Modelling Approach in the Spread of the Novel 2019 Coronavirus SARS-CoV-2 (COVID-19) Pandemic” Electronic Journal of General Medicine 17(4) 2020, 1-3.
  • [17] S.Kim, Y. Seo, E. Jung, Prediction of COVID-19 transmission dynamics using a mathematical model considering behavior changes in Korea, Epidemiology and Health Volume: 42, Article ID: e2020026.
  • [18] A. J. Kucharski, T. W. Russell, C. Diamond, Y. Liu, J. Edmunds, S. Funk, R. M. Eggo, Early dynamics of transmission and control of COVID-19: a mathematical modelling study, The Lancet Infectious Diseases, 2020, 553-558.
  • [19] N. P. Jewel, Predictive mathematical models of the COVID-19 pandemic underlying principles and value of projections, Journal of the American Medical Association, 323(19) 2020, 1893-1894.
  • [20] A.R. Tuite, D. N. Fisman, A. L. Greer, Mathematical modelling of COVID-19 transmission and mitigation strategies in the population of Ontario, Canada, 11 (192) 2020, 497-505.
  • [21] Word meter website https://www.worldometers.info/coronavirus/
  • [22] https://www.mathworks.com/campaigns/products/trials.html
  • [23] https://www.mathworks.com/matlabcentral/profile/authors/277505-aasim-azooz
There are 23 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Articles
Authors

Aasim Azooz

Publication Date September 17, 2020
Published in Issue Year 2020 Volume: 3 Issue: 1

Cite

APA Azooz, A. (2020). Empirical Parametrization of COVID-19 Virus Pandemic. Journal of Multidisciplinary Modeling and Optimization, 3(1), 12-26.
AMA Azooz A. Empirical Parametrization of COVID-19 Virus Pandemic. jmmo. September 2020;3(1):12-26.
Chicago Azooz, Aasim. “Empirical Parametrization of COVID-19 Virus Pandemic”. Journal of Multidisciplinary Modeling and Optimization 3, no. 1 (September 2020): 12-26.
EndNote Azooz A (September 1, 2020) Empirical Parametrization of COVID-19 Virus Pandemic. Journal of Multidisciplinary Modeling and Optimization 3 1 12–26.
IEEE A. Azooz, “Empirical Parametrization of COVID-19 Virus Pandemic”, jmmo, vol. 3, no. 1, pp. 12–26, 2020.
ISNAD Azooz, Aasim. “Empirical Parametrization of COVID-19 Virus Pandemic”. Journal of Multidisciplinary Modeling and Optimization 3/1 (September 2020), 12-26.
JAMA Azooz A. Empirical Parametrization of COVID-19 Virus Pandemic. jmmo. 2020;3:12–26.
MLA Azooz, Aasim. “Empirical Parametrization of COVID-19 Virus Pandemic”. Journal of Multidisciplinary Modeling and Optimization, vol. 3, no. 1, 2020, pp. 12-26.
Vancouver Azooz A. Empirical Parametrization of COVID-19 Virus Pandemic. jmmo. 2020;3(1):12-26.