Document Type
Article
Abstract
This manuscript introduces a new Erlang-distributed SEIR model. The model incorporates asymptomatic spread through a subdivided exposed class, distinguishing between asymptomatic (Ea) and symptomatic (Es) cases. The model identifies two key parameters: relative infectiousness, βSA, and the percentage of people who become asymptomatic after being infected by a symptomatic individual, κ. Lower values of these parameters reduce the peak magnitude and duration of the infectious period, highlighting the importance of isolation measures. Additionally, the model underscores the need for strategies addressing both symptomatic and asymptomatic transmissions.
Digital Object Identifier (DOI)
Publication Info
Published in Bulletin of Mathematical Biology, Volume 87, 2025, pages 38-.
APA Citation
Chebotaeva, V., Srinivasan, A., & Vasquez, P. A. (2025). Differentiating contact with symptomatic and asymptomatic infectious individuals in a SEIR epidemic model. Bulletin of Mathematical Biology, 87(3).https://doi.org/10.1007/s11538-025-01416-2
Rights
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.