Comment on “Predicting the mortality due to covid-19 by the next month for Italy, Iran and South Korea; a simulation study”
Gastroenterology and Hepatology from Bed to Bench,
,
20 September 2020
,
Page 421
https://doi.org/10.22037/ghfbb.v13i4.2008
Abstract
1Student’s Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2Hearing Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
(Please cite as: Mirmomeni G, Bayat A. Predicting the mortality due to covid-19 by the next month for Italy, Iran and South Korea; a simulation study. Gastroenterol Hepatol Bed Bench 2020;13(4):421).
- COVID-19
- Poisson distribution
- Negative binomial distribution
References
Shojaee S, Pourhoseingholi MA, Ashtari S, Vahedian-Azimi A, Asadzadeh-Aghdaei H, Zali MR. Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study. Gastroenterol Hepatol Bed Bench 2020; 13: 177-9.
Cameron AC, Trivedi PK, editors. Regression analysis of count data. 2nd edition. New York: Cambridge University Press, 2013.
Benlagha N. Modeling the declared new cases of COVID-19 trend using advanced statistical approaches. Available from: https://www.researchgate.net/publication/340298857_Modeling_the_Declared_New_Cases_of_COVID-19_Trend_Using_Advanced_Statistical_Approaches.
Endo A, Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Abbott S, Kucharski AJ, Funk S. Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China. Wellcome Open Res 2020; 5: 67.
- Abstract Viewed: 0 times
- PDF Downloaded: 0 times
