Table 1.

Comparison of the conditions and methods used in Bourouiba et al. (2014) and those to be used in our work

Sr	Bourouiba et al. (2014)	Present work
1	Approximate integral model is proposed, using ordinary differential equations, to calculate cloud trajectory and particle fall-out distances	DNS of partial differential equations will be used to directly compute the cloud trajectory (using a physics-based model for incorporating droplet fall-out effects)
2	The cloud trajectories for a cough were calculated for typical winter indoor conditions	Ambient conditions of temperature and humidity, relevant for Indian summer/monsoon conditions, will be specified
3	The experiments in this work use a constant inlet velocity (which is an idealization) over a finite duration to simulate a cough	The use of a DNS will enable specifying realistic inlet velocity variation during a single cough (Fig. 4b), as well as a sequential cough, without difficulty
4	The experiments or the mathematical model proposed do not involve phase changes and effects of evaporative cooling	The thermodynamics of phase change will be included in the DNS computations, which will be much closer to the dynamics of a real cough