Latent class analysis identifies risk groups to model the expected benefits of SARS-CoV-2 interventions among university students

Latent class analysis identifies risk groups to model the expected benefits of SARS-CoV-2 interventions among university students

Abstract Non-pharmaceutical public health measures (PHMs) were central to pre-vaccination efforts to reduce Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) exposure risk; heterogeneity in adherence placed bounds on their potential effectiveness, and correlation in their adoption makes a...

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Bibliographic Details
Main Authors: Callum R. K. Arnold, Nita Bharti, Cara Exten, Meg Small, Sreenidhi Srinivasan, Suresh V. Kuchipudi, Vivek Kapur, Matthew J. Ferrari
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Latent class analysis
SIR model
Approximate Bayesian Computation
Behavioral survey
IgG serosurvey
Online Access:https://doi.org/10.1038/s41598-025-95164-x
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https://doi.org/10.1038/s41598-025-95164-x

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