Spatio-temporal analysis of diabetes in Saraburi, Thailand | |
| Author | Pissanupong Mahamontree |
| Call Number | AIT Thesis no.RS-20-07 |
| Subject(s) | Diabetes--Thailand--Saraburi Geographic information systems--Thailand--Saraburi Spatial analysis (Statistics) Building--Classification |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information System |
| Publisher | Asian Institute of Technology |
| Abstract | In today's world, the number of diabetes is increasing. From this study, the results are very beneficial for government sector to improving plan of decrease diabetes patients in Saraburi. Moreover, the results illustrated that specific and immediate interventions are needed and the hotspot areas where diabetes is important to taking place. For calculated the hotspot areas of diabetes patients, it will remove the old fashion of implementing general solution to diabetes that is frequency un-useful. Although, analyzing of the risk factors for diabetes always is given advises that some behaviors that increase risk as eating unhealthy diet, physical activity, overweight and obese. The key actions for governments that have to create the linking between healthy environment, better diagnosis and treatment and better data by WHOs suggestion For this research, Spatio - temporal Analysis of Diabetes in Saraburi, that can answer the ways of improving better data. Showing as spatial pattern map in two principles, hotspot and cold spot sub-district, from information that separates by gender and deep information as education, age and job are generated for analysis the areas that are effect for diabetes key factors as shown in this paper. This result for the research can give the better information of diabetes in Saraburi then the government can plan to improve healthy environment from key diabetes reasons area and to develop better diagnosis for Thai doctors. Analysis, examples and comparison in graph presentation are included in the research. |
| Year | 2020 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Pal, Indrajit;Mozumder, Chitrini; |
| Scholarship Donor(s) | Royal Thai Government;Asian Institute of Technology Fellowship; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2020 |