Please use this identifier to cite or link to this item:
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Positive feedback loops exacerbate the influence of superspreaders in disease transmission
Author(s): Wanelik, Klara M.
Begon, Mike
Fenton, Andy
Norman, Rachel A.
Beldomenico, Pablo M.
Contact Email:
Keywords: Health sciences
Disease transmission
Issue Date: May-2023
Date Deposited: 20-Jun-2023
Citation: Wanelik KM, Begon M, Fenton A, Norman RA & Beldomenico PM (2023) Positive feedback loops exacerbate the influence of superspreaders in disease transmission. Norman R (Researcher) <i>iScience</i>, 26 (5), Art. No.: 106618.
Abstract: Superspreaders are recognized as being important drivers of disease spread. However, models to date have assumed random occurrence of superspreaders, irrespective of whom they were infected by. Evidence suggests though that those individuals infected by superspreaders may be more likely to become superspreaders themselves. Here, we begin to explore, theoretically, the effects of such a positive feedback loop on (1) the final epidemic size, (2) the herd immunity threshold, (3) the basic reproduction number, R0, and (4) the peak prevalence of superspreaders, using a generic model for a hypothetical acute viral infection and illustrative parameter values. We show that positive feedback loops can have a profound effect on our chosen epidemic outcomes, even when the transmission advantage of superspreaders is moderate, and despite peak prevalence of superspreaders remaining low. We argue that positive superspreader feedback loops in different infectious diseases, including SARS-CoV-2, should be investigated further, both theoretically and empirically.
DOI Link: 10.1016/j.isci.2023.106618
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Licence URL(s):

Files in This Item:
File Description SizeFormat 
Postivefeedback.pdfFulltext - Published Version4.35 MBAdobe PDFView/Open

This item is protected by original copyright

A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.