Evidence that coronavirus superspreading is fat-tailed

DOI10.1073/PNAS.2018490117zbMath1485.92168OpenAlexW3095263534WikidataQ102056300 ScholiaQ102056300MaRDI QIDQ5073205

J. J. Collins, Felix S. Wong

Publication date: 5 May 2022

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.2018490117

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness ⋮ The duration of historical pandemics ⋮ Heterogeneity is a key factor describing the initial outbreak of COVID-19 ⋮ Stochastic bifurcations and tipping phenomena of insect outbreak systems driven by α-stable Lévy processes ⋮ A retrospective analysis of COVID-19 dynamics in Mexico and Peru: studying hypothetical changes in the contact rate

Cites Work

• Unnamed Item
• Distribution Theory, Stochastic Processes and Infectious Disease Modelling
• A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2

This page was built for publication: Evidence that coronavirus superspreading is fat-tailed