tetano
Editor, Senior Moderator
PLoS One
. 2022 Feb 25;17(2):e0264455.
doi: 10.1371/journal.pone.0264455. eCollection 2022.
The basic reproduction number of COVID-19 across Africa
Sarafa A Iyaniwura[SUP] 1 [/SUP], Musa Rabiu[SUP] 2 [/SUP], Jummy F David[SUP] 3 4 [/SUP], Jude D Kong[SUP] 3 5 6 [/SUP]
Affiliations
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.
. 2022 Feb 25;17(2):e0264455.
doi: 10.1371/journal.pone.0264455. eCollection 2022.
The basic reproduction number of COVID-19 across Africa
Sarafa A Iyaniwura[SUP] 1 [/SUP], Musa Rabiu[SUP] 2 [/SUP], Jummy F David[SUP] 3 4 [/SUP], Jude D Kong[SUP] 3 5 6 [/SUP]
Affiliations
- PMID: 35213645
- DOI: 10.1371/journal.pone.0264455
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.