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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Related Experiment Video

Updated: Dec 11, 2025

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COVID-19 and SARS-CoV-2. Modeling the present, looking at the future.

Ernesto Estrada1,2

  • 1Instituto Universitario de Matemáticas y Aplicaciones, Universidad de Zaragoza, 50009 Zaragoza, Spain.

Physics Reports
|August 25, 2020
PubMed
Summary

Modeling is crucial for understanding COVID-19 (COronaVIrus Disease-19) spread and developing treatments. This review covers epidemiological modeling, drug repurposing, and vaccine design to combat SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) and future pandemics.

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Area of Science:

  • Epidemiology
  • Virology
  • Computational Biology

Background:

  • The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic, beginning in December 2019, has had a profound global impact.
  • SARS-CoV-2 shares genetic similarities and the ACE2 receptor with SARS-CoV-1, yet exhibits greater transmissibility and lethality.
  • Effective pandemic response requires sophisticated modeling to forecast disease spread and intervention impacts.

Purpose of the Study:

  • To review and synthesize the literature on modeling strategies applied to SARS-CoV-2 and COVID-19.
  • To provide a guide for modelers navigating the rapidly expanding research landscape.
  • To highlight the role of modeling in addressing drug repurposing and vaccine development.

Main Methods:

  • Review of diverse modeling approaches including deterministic, data-driven, stochastic, and agent-based models.
  • Analysis of models incorporating societal complexities like social networks and transport systems.
  • Examination of computational modeling techniques for drug discovery and vaccine design.

Main Results:

  • Modeling is essential for forecasting epidemic progression and evaluating non-pharmaceutical interventions.
  • Computational modeling aids in identifying potential drug repurposing candidates and designing new vaccines.
  • The reviewed literature provides insights into strategies for managing the current pandemic and preparing for future outbreaks.

Conclusions:

  • Modeling plays a critical role in understanding, forecasting, and mitigating the impact of pandemics like COVID-19.
  • The integration of epidemiological, drug repurposing, and vaccine design modeling is vital for a comprehensive response.
  • This review serves as a resource for modelers to leverage existing strategies and prepare for future global health emergencies.