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Enahoro A. Iboi

Researcher at Spelman College

Publications -  31
Citations -  2432

Enahoro A. Iboi is an academic researcher from Spelman College. The author has contributed to research in topics: Population & Pandemic. The author has an hindex of 12, co-authored 29 publications receiving 1351 citations. Previous affiliations of Enahoro A. Iboi include Arizona State University & Florida State University College of Arts and Sciences.

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Journal ArticleDOI

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

TL;DR: A compartmental model for assessing the community-wide impact of mask use by the general, asymptomatic public is developed, suggesting face masks are potentially of high value in curtailing community transmission and the burden of the COVID-19 pandemic.
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Mathematical assessment of the impact of non-pharmaceutical interventions on curtailing the 2019 novel Coronavirus.

TL;DR: This study shows that early termination of the strict social-distancing measures could trigger a devastating second wave with burden similar to those projected before the onset of the restrictive measures, and emphasizes the important role social- Distancing plays in curtailing the burden of COVID-19.
Journal ArticleDOI

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic

TL;DR: In this article, the authors developed a compartmental model for assessing the community-wide impact of mask use by the general, asymptomatic public, a portion of which may be infectious.
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Will an imperfect vaccine curtail the COVID-19 pandemic in the U.S.?

TL;DR: The prospect of COVID-19 elimination in the US, using the hypothetical vaccine, is greatly enhanced if the vaccination program is combined with other interventions, such as face mask usage and/or social distancing, which significantly reduces the level of the vaccine-induced herd immunity threshold needed to eliminate the pandemic in the United States.
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A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations

TL;DR: A primer for formulating, analysing and simulating mathematical models for understanding the dynamics of COVID-19, the novel coronavirus that emerged from Wuhan city in December 2019 and became the most important public health challenge facing mankind since the 1918 Spanish flu pandemic.