scispace - formally typeset
N

Nana Owusu-Boaitey

Researcher at Case Western Reserve University

Publications -  4
Citations -  668

Nana Owusu-Boaitey is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Population & Case fatality rate. The author has an hindex of 3, co-authored 4 publications receiving 355 citations.

Papers
More filters
Journal ArticleDOI

Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications.

TL;DR: The results indicate that COVID-19 is hazardous not only for the elderly but also for middle-aged adults, for whom the infection fatality rate is two orders of magnitude greater than the annualized risk of a fatal automobile accident and far more dangerous than seasonal influenza.
Posted ContentDOI

Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications

TL;DR: The findings indicate that COVID-19 is not just dangerous for the elderly and infirm but also for healthy middle-aged adults, for whom the fatality rate is roughly 50 times greater than the risk of dying in an automobile accident.
Journal ArticleDOI

Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Systematic Review, Meta-Analysis, and Public Policy Implications

TL;DR: The results indicate that COVID-19 is hazardous not only for the elderly but also for middle-aged adults, for whom the infection fatality rate is two orders of magnitude greater than the annualized risk of a fatal automobile accident and far more dangerous than seasonal influenza.
Posted ContentDOI

Assessing the Burden of COVID-19 in Developing Countries: Systematic Review, Meta-Analysis, and Public Policy Implications

TL;DR: In this article, the authors systematically reviewed the literature to identify all serology studies in developing countries that were conducted using representative samples of specimens collected by early 2021, and analyzed the serology data using a Bayesian model that incorporates conventional sampling uncertainty as well as uncertainties about assay sensitivity and specificity.