Can the Wells-Riley model universally assess airborne pathogen infection risk?

Some airborne pathogens can infect susceptible people over long distances in buildings when they are transported in small respiratory particles suspended in the air. The pathogen concentration in air can be decreased using engineering controls, such as ventilation, filtration, or inactivation. To determine their effect, it is common to use the Wells-Riley model to estimate the probability that a susceptible person is infected and is a function of the dose of infectious pathogen received and a Poisson distribution.

Infection risk-based ventilation design method

There is large amount of research on COVID-19 infections including the spread and removal mechanisms of the virus in indoor spaces. Ventilation, air cleaning and air disinfection are the main engineering measures to control the virus spread in buildings. Wells Riley model allows to calculate the infection risk probability for any airborne virus aerosol-based transmission, but this calculation is overcomplicated in the ventilation design because of large amount of input data needed that is not easy to understand to ventilation designers.