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Spatial Distribution of New Pulmonary Tuberculosis Incidence in Northeastern, Thailand |
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| รหัสดีโอไอ | |
| Creator | 1. Jittipong Sungthong 2. Pornpun Sakunkoo 3. Apiporn T Suwannatrai |
| Title | Spatial Distribution of New Pulmonary Tuberculosis Incidence in Northeastern, Thailand |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2567 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 17 |
| Journal No. | 3 |
| Page no. | 50-62 |
| Keyword | Infectious situation, Respiratory disease, Tuberculosis, Spatial distribution, Infectious disease |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | Pulmonary tuberculosis (PTB) represents a formidable global public health challengein Southeast Asia including Thailand. It is among the 30 countries with the highest burden oftuberculosis disease in the world, contributed by the increasing prevalence of new cases ofpulmonary tuberculosis (NPTB) in northeastern Thailand (NE). This research aims to describethe distribution pattern and spatial relationship of the incidence of NPTB, especially in the NE.Based on data from the National Tuberculosis Information Project (NTIP) from 2017 to 2021,covering 322 districts in NE region, this study used a spatial analysis method. The findingsrevealed a total of 91,914 NPTB cases identified over a 5-year period, with a significantlyhigher prevalence found in males, and almost half of the cases occur in people over 60 yearsof age. Global spatial autocorrelation analysis revealed different cluster incidence patterns ofNPTB incidence across the study area. The pattern of NPTB was clustered. The research usedGetic-Ord Gi* techniques to analyze hot spots by analyzing high-risk groups within variousdistricts, especially in Khon Kaen and Sisaket provinces. In addition, spatial-temporal clustergrouping analysis also highlighted that December is the key month for cluster formation, with2020 recording the highest number of NPTB clusters within 5 years. These findings offervaluable insights for relevant agencies in formulating guidelines, comprehensive protection,and tracking, including PTB surveillance at the regional and national levels. |