The Relationship of Housing and Industrial Factors with the Outbreak of COVID-19 in Urban Areas Using Geographical Information Systems (GIS) Pathum-Thani Province, Thailand.

Authors : Nirobon Ma-oon; Sutthida Kaewmoongkun; Dr. Thasaporn Chusak; Dr. Klarnarong Wongpituk

Volume/Issue : Volume 6 - 2021, Issue 5 - May

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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).


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31 - May - 2022

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