A phenomenological estimate of the true scale of CoViD-19 from primary data

DOI10.1016/j.chaos.2021.110854zbMath1498.92240OpenAlexW3118270737MaRDI QIDQ2137232

Fabio Vanni, Luigi Palatella, David Lambert

Publication date: 16 May 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2021.110854

zbMATH Keywords

renewal equationSARS-CoV2 prevalencescale of epidemics

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (1)

What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?

Uses Software

• GitHub
• EpiEstim

Cites Work

• Time variations in the generation time of an infectious disease: implications for sampling to appropriately quantify transmission potential
• On the formulation of epidemic models (an appraisal of Kermack and McKendrick)
• Equivalence of the Erlang-Distributed SEIR Epidemic Model and the Renewal Equation

This page was built for publication: A phenomenological estimate of the true scale of CoViD-19 from primary data