This study focused on interrelationship studies. The objective of this research is to explore the association between migrant worker factors, the number of schools, and the number of shopping malls in Thailand's metropolitan areas and the newest Covid-19 epidemic. Thailand's metropolitan areas; Nonthaburi, Pathum Thani, Nakhon Pathom, Samut Prakan, and Samut Sakhon province are all on the periphery of Bangkok served as the study's focus. There are five province. Secondary data from government organizations, such as migrant worker factors, the number of schools, the number of shopping malls, and the newest Covid-19 epidemic. Statistics such as mean, percentage, frequency, and standard deviation were employed. Using correlation statistics, determine the association between the variables. This research was carried out between January and June of 2021. The study's findings revealed that the migrant worker factor was significantly associated with the newest Covid-19 epidemic, at the level of 0.01, and in the same direction as the association, at a high level (r=0.965). The number of schools was significantly associated with the newest Covid-19 epidemic at a level of 0.01, and at a high level (r=-0.981) in the inverse direction. Despite the fact that the number of shopping malls has nothing to association with the newest Covid-19 epidemic. Recommendations should be made in order to properly control and avoid the development of Covid-19. Furthermore, studies on complex factors, such as social determinants, that may be variables that support the spread of Covid-19 should be done. Participation in strong health networks, as well as direct and indirect environmental effects.

Keywords : Migrant Worker, Schools, Shopping Malls, The Newest Covid-19