@inbook {138,
	title = {Geographic Information System (GIS) and Data Visualization},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {297{\textendash}307},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This chapter is to understand the functionality of GIS focusing on disaster nursing operations, comprising (1) data acquisition, (2) data analysis, (3) data visualization, and (4) data management and sharing. The reader will understand the conceptual basics of GIS, which is useful for designing GIS-based information management systems and applications. By reading and understanding this chapter, the readers will start GIS applications in finding their projects and activities.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_26},
	url = {https://doi.org/10.1007/978-3-030-98297-3_26},
	author = {Sritart, Hiranya and Miyazaki, Hiroyuki},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@conference {142,
	title = {Spatial Equity and Healthcare Access in the COVID-19 Pandemic},
	booktitle = {Proceedings of the 6th International Conference on Medical and Health Informatics},
	year = {2022},
	publisher = {Association for Computing Machinery},
	organization = {Association for Computing Machinery},
	address = {New York, NY, USA},
	abstract = {Healthcare facilities around the world become overwhelmed by the number of infected coronavirus patients that needed to be treated during the COVID-19 outbreak, resulting in medical staff and healthcare services shortages. Regarding to understand and minimize the inequalities in healthcare services, it is crucial to evaluate the available healthcare resource, particularly the intensive care unit (ICU) beds that are critical for the COVID-19 pandemic. Therefore, this study aims to explore and determine the spatial distribution of the confirmed COVID-19 patients and the healthcare capacities in the province of Ubon Ratchathani, Thailand. Applying the GIS platform with the data analysis of 2SFCA (Two-Step Floating Catchment Area) based approach, we emphasize the spatial distribution of both patients and healthcare resources in the study area. The spatial accessibility index regarding the physicians and ICU beds was determined and highlighted in each district. Additionally, the vulnerable regions were identified by the level of healthcare accessibility. We believe this study offers valuable insight in gaining a better understanding and supporting effective response activities toward pandemic resilience.},
	isbn = {9781450396301},
	doi = {10.1145/3545729.3545782},
	url = {https://doi.org/10.1145/3545729.3545782},
	author = {Sritart, Hiranya and Taertulakarn, Somchat and Kanbara, Sakiko and Miyazaki, Hiroyuki}
}
@article {130,
	title = {Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand},
	journal = {International Journal of Environmental Research and Public Health},
	volume = {18},
	year = {2021},
	month = {Jan-10-2021},
	pages = {10782},
	doi = {10.3390/ijerph182010782},
	url = {https://www.mdpi.com/1660-4601/18/20/10782},
	author = {Sritart, Hiranya and Tuntiwong, Kuson and Miyazaki, Hiroyuki and Taertulakarn, Somchat}
}
@article {124,
	title = {Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning},
	journal = {Sustainability},
	volume = {12},
	year = {2020},
	pages = {7355},
	abstract = {Evacuation shelters are the most important means for safeguarding people in hazardous areas and situations, and thus minimizing losses, particularly those due to a disaster. Therefore, evacuation shelter assignment and evacuation planning are some of the critical factors for reducing vulnerability and increasing resilience in disaster risk reduction. However, an imbalance of shelter distribution and spatial heterogeneity of a population are the critical issues limiting the accessibility of evacuation shelters in real situations. In this study, we propose a methodology for spatial assessment to reduce vulnerability and evaluate the spatial distribution of both shelter demand and resources, considering spatial accessibility. The method was applied to the case study of Mabi, in the context of a disaster caused by the 2018 flooding. We applied this approach to evaluate the area and identified the vulnerability of the evacuation shelters and the residents. The proposed method revealed that 54.55\% of the designated evacuation shelters and 59\% of the total population were physically vulnerable to the flood. The results highlight, using GIS maps, that the total shelter capacity was significantly decreased to 43.86\%. The outcome assessment addressed specific vulnerable shelters and the imbalance between the demand for and resources of each shelter. Accordingly, this study provides practical information and a valuable reference for supporting local governments and stakeholders to improve future disaster planning, prevention, and preparedness.},
	issn = {2071-1050},
	doi = {10.3390/su12187355},
	url = {https://www.mdpi.com/2071-1050/12/18/7355},
	author = {Sritart, Hiranya and Miyazaki, Hiroyuki and Kanbara, Sakiko and Hara, Takashi}
}
