Work from home (WFH) has gradually become popular since Covid-19 started its transmission in Myanmarduring the first quarter of 2020. It re-evaluated the culture of ‘a work space’ and a significant change has occurred to the pattern of day-time distribution of the employed population. In this paper, network distribution model was built with three constraints, Distribution Bias 1, 2 and 3. These biases were determined through questionaries, survey data collections of responses from Yangonites and geographical data of urban employment cores. These percentile biases influenced the amount of employed population per distribution times and gave rise into two results. One was the ordinary day-time employed population ODEP and another was the improved day-time employed distribution IDEP (considering WFH). These two results were compared and contrasted with coefficient of variations, t-tests and other correlation methods to determine the effect of WFH on the day-time employed population. With survey data, it was clarified that majorities in Yangon do favor work from home as an alternative option for future employment. Subsequently, compared results revealed that work from home significantly decreased the amount of employment distribution and the amount of such decrements were more consistence and have less variations, thence, reduce cramming during day-time distribution.
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