A comprehensive analysis of the effect of ventilation and climatic conditions on covid-19 transmission through respiratory droplet transport via both airborne and fomite mode inside an elevator
Anish Pal, Riddhideep Biswas, Sourav Sarkar, Achintya Mukhopadhyay

TL;DR
This study uses numerical simulations to analyze how ventilation and climate conditions affect COVID-19 droplet dispersion and infection risk inside elevators, revealing that certain ventilation speeds and dry, hot conditions influence transmission risk.
Contribution
It provides a detailed numerical analysis of droplet transport in elevator environments considering various climatic and ventilation scenarios, highlighting optimal ventilation speeds to reduce infection risk.
Findings
Hot, dry, quiescent conditions pose the highest infection risk.
Increasing fan speed initially increases risk, but risk decreases significantly at 1100 RPM.
Ventilation at 1100 RPM reduces infection risk by 67% in hot, dry climates.
Abstract
The risks of disease transmission due to these droplets are significantly high in confined public spaces like elevators. A numerical analysis using OpenFOAM has been performed in this work to investigate the droplet dispersion routes in an enclosed environment resembling an elevator. The effect of two scenarios on droplet dispersal, namely the quiescent and the fan-driven ventilation, both subjected to various climatic conditions (of temperature and humidity) ranging from cold humid (15 degree C, 70 percent relative humidity) to hot dry (30 degree C, 30 percent relative humidity and 30 degree C, 50 percent relative humidity) and hot humid (30 degree C, 70 percent relative humidity) have been studied. A risk factor derived from a dose response model based on the time averaged pathogen quantity present around the passengers mouth is used to quantify the risk of infection through airborne…
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Taxonomy
TopicsInfection Control and Ventilation · Aerosol Filtration and Electrostatic Precipitation · Evacuation and Crowd Dynamics
