COVID-19 Countermeasures: An Algorithm to Stay Unlocked

Area of Science:

• Public Health
• Infectious Disease Management
• Clinical Medicine

Background:

• Recurrent surges of SARS-CoV-2 infections highlight the need for effective management strategies.
• Easing of lockdown measures has been associated with increased transmission rates globally.

Purpose of the Study:

• To introduce a visual algorithm for managing COVID-19 based on clinical severity.
• To aid healthcare workers and policymakers in controlling SARS-CoV-2 contagion and disease progression.

Main Methods:

• Development of a visual flowchart integrating key interventions for COVID-19 management.
• Inclusion of topical p-menthane-3,8-diol spray, noted for its coronavirucidal properties, as a novel intervention.

Main Results:

• The algorithm provides a structured approach to managing COVID-19 patients by clinical category.
• The visual format facilitates algorithmic decision-making for healthcare professionals.
• The integration of p-menthane-3,8-diol offers a potential new tool for infection control.

Conclusions:

• The visual algorithm offers a practical framework for managing COVID-19 and preventing SARS-CoV-2 transmission.
• The inclusion of p-menthane-3,8-diol warrants further investigation and wider dissemination.
• The algorithm is designed for adaptability and future updates as new research emerges.