Measuring differences between phenomenological growth models applied to epidemiology

Raimund Bürger, Gerardo Chowell, Leidy Yissedt Lara-Díaz

Type: Article

Publication Date: 2021-02-09

Citations: 13

DOI: https://doi.org/10.1016/j.mbs.2021.108558

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+	Mathematical models in cancer research	1988	T. E. Wheldon
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+	Estimating the parameters of a Gompertz-type diffusion process by means of Simulated Annealing	2011	Patricia Román‐Román D. Romero Miguel Ángel Martínez Rubio Francisco Torres‐Ruiz
+	The Western Africa Ebola Virus Disease Epidemic Exhibits Both Global Exponential and Local Polynomial Growth Rates	2014	Gerardo Chowell Cécile Viboud James M. Hyman Lone Simonsen
+ PDF Chat	Mathematical Models in Population Biology and Epidemiology	2001	Fred Brauer Carlos Castillo‐Chávez
+	Tumor growth and chemotherapy: Mathematical methods, computer simulations, and experimental foundations	1973	Jerry Aroesty Thomas Lincoln Norman Shapiro G. Boccia
+ PDF Chat	A generalization of Gompertz law compatible with the Gyllenberg–Webb theory for tumour growth	2011	Alberto d’Onofrio Antonio Fasano Bernardo Monechi
+	Estimating the parameters of Weibull distribution using simulated annealing algorithm	2006	Babak Abbasi Abdol Hamid Eshragh Jahromi Jamal Arkat Mehdi Hosseinkouchack
+	Introduction to Infectious Disease Modelling	2010	Katrina Turner