Geospatial hotspot analysis of lung cancer cases related to fine particulate matter (PM2.5), wind and related factors in a coastal industrial ecosystem | |
| Author | Zhang, Haoran |
| Call Number | AIT Diss. no.RS-18-02 |
| Subject(s) | Geospatial data Air--Pollution Geographic information systems--Health aspects Particles--Environmental aspects |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Cancer in Thailand is becoming a significant health problem. It is the leading cause of deaths in Thailand. Lung cancer is the most common cancer and common cause of cancer death among male and followed by the second among female. PM2.5 is defined as particulates that can be suspended in the air which have equivalent diameters of less than 2.5 microns. Lung cancer is highly related to particulate matter (PM) especially fine particulate with diameter of 2.5 urn or less (PM2S). Recent studies had indicated a strong correlation between fine particulate matter (PM2S) and lung function diseases. A high incidence of lung cancer was found in people living industry areas especially eastern regions of Thailand. This research study was aimed at understanding the phenomenon oflung cancer and it is spatial correlation related to PM2.S in Eastern Thailand from 2008 to 2012 using Geographic Information Systems (GIS) techniques. Objectives of this study are to temporally and spatially analyze the lung cancer incidence and mortality rates; to generate the fine particulate matter (PM2S) map in eastern Thailand and analyze its spatial pattern and to explore spatial relationship between PM25 and lung cancer incidence and mortality rates. Results allowed us to visualize and analyze lung cancer hotspot, adjust for known confounders including sex and age of lung cancer patients and test for the statistical significance of location and time with PM2S. Choropleth maps of lung cancer incidence and mortality rates will be prepared as they are the useful tools in determining spatial autocorrelation of lung cancer. Choropleth maps of lung cancer incidence and mortality rates were generated for the first time, which revealed that the number of male cancer patients is higher than that of females in eastern Thailand. One of the significant results of the study is that global autocorrelation demonstrated considerable spatial clustering oflung cancer incidence and mortality. Moreover, 91.56% of lung cancer patients were in the age group of above 50 in both genders. These findings are useful in identifying the cancer registry information globaliy as well as locally. This study also provides a useful set of tools to identify and create hot spots in developing countries where data and resources are major limitations. |
| Year | 2018 |
| Type | Dissertation |
| 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) | Sarawut Ninsawat;Apichon Witayangkurn;Chatterjee, Joyee S.;Garg, Pradeep Kumar| |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2018 |