A risk assessment model for airborne infection in a ventilated room using the adaptive Runge-Kutta method with cubic spline interpolation

Source avec lien : International Journal of Applied Mathematics, 52(4).

Alors que les personnes normales restent dans la même pièce que les agents infectieux, cette recherche utilisera un modèle mathématique pour estimer la concentration de l’air expiré dans un espace doté d’un système de ventilation de sortie, ainsi que le risque d’infection.

Bacteria or viruses that are spread by tiny respiratory droplets are known as airborne infections. These infectious vehicles can move along air currents, stay in the air, or stick to surfaces before being inhaled by another person. Airborne transmission may happen across long ranges and time periods. Increased infection rates or clusters of airborne infections are linked to a lack of ventilation or low ventilation rates. While normal people remain in the same room as infectors, this research will utilize a mathematical model for estimating the concentration of exhaled air in a space with an outlet ventilation system, as well as the risk of infection

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