Authors : Nirobon Ma-oon; Sutthida Kaewmoongkun; Dr. Thasaporn Chusak; Dr. Klarnarong Wongpituk
Volume/Issue : Volume 6 - 2021, Issue 5 - May
Google Scholar : http://bitly.ws/9nMw
Scribd : https://bit.ly/3zFcBPl
This research was export factor research. The
purpose of this study is to investigate the association
between housing and industrial factors and the Covid-19
outbreak in Pathum-Thani province, Thailand. Using
Geographic Information Systems (GIS). Pathum Thani
province's seven districts served as the study's focus.
There are 3,297 industrial enterprises in the area, as well
as 234,673 factory employees. Secondary data from
government agencies was collected, including housing and
industrial data, the registered population, laborer
statistics, industry areas, and industry waste water. In
addition, we collected the incidence and prevalence of
Covid-19 in the seven districts of Pathum-Thani province.
In order to use the data in the research, surveys were also
conducted in each of the seven districts. The statistics
mean, percentage, frequency, and standard deviation
were used. Determine the relationship between the
variables using correlation statistics. This study was
conducted between March to May of 2021.
The study's findings revealed that the laborator
factor was significantly associated with the covid-19 case
at the 0.05 level, and in the same direction as the
association (r=0.809). The number of factories was
significantly associated with covid-19 cases at the 0.05
level, and in the same direction at the high level (r=0.756).
A spatial map was built utilizing GIS as a tool for site
planning and real-time. Recommendations should
encourage the implementation of a much more effective
Covid-19 control and prevention programme to help
relevant organizations. Continue to expand the use of GIS
in public health
Keywords : Housing, Industrial, Covid-19, Geographic Information Systems (GIS).