, Coronavirus disease 2019 (COVID-19)

L. Ministère-de and . Santé-du-cameroun, , 2020.

J. H. Jones, Notes on R0. Califonia: Department of Anthropological Sciences, 2007.

W. O. Kermack and A. G. Mckendrick, Contributions to the mathematical theory of epidemics, part i, Proceedings of the Royal Society of Edinburgh. Section A. Mathematics, vol.115, pp.700-721, 1927.

W. C. Roda, M. B. Varughese, D. Han, and M. Y. Li, Why is it difficult to accurately predict the COVID-19 epidemic? Infectious Disease Modelling, 2020.

J. Tolles and T. Luong, Modeling Epidemics with Compartmental Models, Jama, 2020.

M. Choisy, J. F. Gué-gan, and P. Rohani, Mathematical modeling of infectious diseases dynamics. Encyclopedia of infectious diseases: modern methodologies, pp.379-404, 2007.

J. O. Giraldo and D. H. Palacio, Deterministic SIR (Susceptible-Infected-Removed) models applied to varicella outbreaks, Epidemiology & Infection, vol.136, issue.5, pp.679-687, 2008.

T. Britton and F. Giardina, Introduction to statistical inference for infectious diseases, 2014.

P. Van-den-driessche, Reproduction numbers of infectious disease models, Infectious Disease Modelling, vol.2, issue.3, pp.288-303, 2017.

R. M. Anderson, R. M. May, M. C. Boily, G. P. Garnett, and J. T. Rowley, The spread of HIV-1 in Africa: sexual contact patterns and the predicted demographic impact of AIDS, Nature, vol.352, issue.6336, pp.581-589, 1991.

M. S. Bartlett, The critical community size for measles in the United States, Journal of the Royal Statistical Society: Series A (General), vol.123, issue.1, pp.37-44, 1960.

C. M. Petrilli, S. A. Jones, J. Yang, H. Rajagopalan, L. F. O'donnell et al., Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease, 2020.

, WHO Director-General's opening remarks at the media briefing on COVID-19, World Health Organization, 2020.

, Coronavirus disease (COVID-19) advice for the public, World Health Organization, 2020.

. Churches, Tim Churches Health Data Science Blog: Modelling the effects of public health interventions on COVID-19 transmission using R-part 1, 2020.

Z. Tang, X. Li, and H. Li, Prediction of New Coronavirus Infection Based on a Modified SEIR Model. medRxiv, 2020.

S. Jenness, S. Goodreau, and M. Morris, Journal of Statistical Software, vol.84, issue.8, pp.1-47, 2018.

. Manaouda, , 2020.

. Manaouda, 25 May, 2020.

H. G. Hong and Y. Li, Estimation of time-varying reproduction numbers underlying epidemiological processes: A new statistical tool for the COVID-19 pandemic, PLOS ONE, vol.15, issue.7, p.236464, 2020.

E. Massad, M. N. Burattini, L. F. Lopez, and F. A. Coutinho, Forecasting versus projection models in epidemiology: the case of the SARS epidemics, Medical Hypotheses, vol.65, issue.1, pp.17-22, 2005.