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The basic reproduction number of COVID-19 across Africa
Sarafa Adewale Iyaniwura; Muhammad Rabiu Musa; Jummy F. David; Jude Dzevela Kong.
Afiliação
  • Sarafa Adewale Iyaniwura; The University of British Columbia
  • Muhammad Rabiu Musa; university of KwaZulu-Natal
  • Jummy F. David; York University
  • Jude Dzevela Kong; York University
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21265826
ABSTRACT
The pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) took the world by surprise. Following the first outbreak of COVID-19 in December 2019, several models have been developed to study and understand its transmission dynamics. Although the spread of COVID-19 is being slowed down by vaccination and other interventions, there is still a need to have a clear understanding of the evolution of the pandemic across countries, states and communities. To this end, there is a need to have a clearer picture of the initial spread of the disease in different regions. In this project, we used a simple SEIR model and a Bayesian inference framework to estimate the basic reproduction number of COVID-19 across Africa. Our estimates vary between 1.98 (Sudan) and 9.66 (Mauritius), with a median of 3.67 (90% CrI 3.31 - 4.12). The estimates provided in this paper will help to inform COVID-19 modeling in the respective countries/regions.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint