Danial Mohammadi - Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran ۲- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; danialmoham
Simin Nasrabadi - School of Public Health, Birjand University of Medical Sciences, Birjand, Iran; siminnasrabadi۹۲@gmail.com

Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted Percentage Dissatisfied) model in workers of screening center for COVID-۱۹. Methods: The study period was from March ۱ to October ۳۱, ۲۰۲۰. In this study, we used the ISO ۷۷۳۰ model to determinate PMV-PPD index. PMV index  was used to determine thermal comfort at different scales in Birjand city with arid and hot climate. All data were analyzed  using R software (version ۳.۳.۰) and IBM SPSS statistics softwares. Results: The maximum and minimum recorded physical PMV values in the study period were observed in June as (۲.۰۹ ± ۰.۰۳) and March as (-۱.۲۷ ± ۰.۱۴), respectively. The amplitude of the thermal sense in the study period was varied between slightly cool (-۱.۵) and warm (+۲.۵). The PPD in spring was ۴۰% which indicated slightly warm to hot condition. Conclusions: The October was the only month during the study in which thermal stress was in comfort or neutral thermal condition.  Our results suggest that thermal comfort has dimensions and indices which are helpful in managing energy consumption.

Thermal comfort, Predicted mean vote, Predicted percentage dissatisfied, Screening center, COVID-۱۹