JOURNAL ARTICLE

Modeling herd immunity: Insights from human behavior during COVID-19.

  • Published In: International Journal of Modeling, Simulation & Scientific Computing, 2025, v. 16, n. 1. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Soubane, H.; Nafidi, A.; Soubane, D. 3 of 3

Abstract

We present a comprehensive SEIRDI CU model incorporating six compartments to examine the progression of COVID-19 and evaluate control strategies. Our findings reveal that implementing partial restrictions with varying levels of stringency delays the infection peak by approximately 160 days, alleviating pressure on healthcare systems. Under a herd immunity approach with an 85% immunity threshold, at least 425 days (14 months) are required for a gradual return to normalcy. Accelerated vaccination significantly shortens this timeline, emphasizing the critical role of immunization in societal reopening. Additionally, we highlight the importance of rigorously assessing post-vaccine side effects to uphold ethical and scientific standards. These insights provide actionable guidance for policymakers to balance public health interventions with economic recovery. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modeling, Simulation & Scientific Computing. 2025/02, Vol. 16, Issue 1, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:17939623
  • DOI:10.1142/S1793962325500229
  • Accession Number:183554381
  • Copyright Statement:Copyright of International Journal of Modeling, Simulation & Scientific Computing is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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