The traditional Poisson probability model for airborne Mycobacterium t
uberculosis (M. tb) infection, also termed the Wells-Riley equation, c
an be modified to account for a health ca re worker's use of respirato
ry protection. It was previously shown that the beta distribution on t
he interval [0,1] is a good descriptor of respirator penetration value
s experienced by an individual worker from wearing to wearing, and of
average respirator penetration values experienced by different workers
. Based on the premise that the gamma distribution can reasonably desc
ribe the time-varying M. tb aerosol exposure levels experienced by hea
lth care workers, analytical I solutions are presented for an individu
al worker's cumulative risk of infection, and for the worker populatio
n mean cumulative risk of infection, with and without use of respirato
ry protection. The gamma distribution is shown to be similar to the lo
gnormal in describing right-skewed distributions of aerosol exposure c
oncentrations on the interval [0,infinity).