Predicting the Effects of Waning Vaccine Immunity Against COVID‐19 through High‐Resolution Agent‐Based Modeling (Adv. Theory Simul. 6/2022). Issue 6 (10th June 2022)
- Record Type:
- Journal Article
- Title:
- Predicting the Effects of Waning Vaccine Immunity Against COVID‐19 through High‐Resolution Agent‐Based Modeling (Adv. Theory Simul. 6/2022). Issue 6 (10th June 2022)
- Main Title:
- Predicting the Effects of Waning Vaccine Immunity Against COVID‐19 through High‐Resolution Agent‐Based Modeling (Adv. Theory Simul. 6/2022)
- Authors:
- Truszkowska, Agnieszka
Zino, Lorenzo
Butail, Sachit
Caroppo, Emanuele
Jiang, Zhong‐Ping
Rizzo, Alessandro
Porfiri, Maurizio - Abstract:
- Abstract : Predicting the Effects of Waning Vaccine Immunity Against COVID‐19 through High‐Resolution Agent‐Based Modeling Mathematical models have proven to be indispensable in our fight against COVID‐19. In article 2100521, Agnieszka Truszkowska, Maurizio Porfiri, and co‐workers expand on a high‐resolution agent‐based model published previously in this journal to study the effectiveness of the booster shot campaign in preventing new COVID‐19 waves in the town of New Rochelle, NY. Image by Anna Sawulska and Maurizio Porfiri.
- Is Part Of:
- Advanced theory and simulations. Volume 5:Issue 6(2022)
- Journal:
- Advanced theory and simulations
- Issue:
- Volume 5:Issue 6(2022)
- Issue Display:
- Volume 5, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 5
- Issue:
- 6
- Issue Sort Value:
- 2022-0005-0006-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-06-10
- Subjects:
- Science -- Simulation methods -- Periodicals
Science -- Methodology -- Periodicals
Engineering -- Simulation methods -- Periodicals
Engineering -- Methodology -- Periodicals
507.21 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/adts.202270015 ↗
- Languages:
- English
- ISSNs:
- 2513-0390
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.935575
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21821.xml