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