ArticleBiology2022
Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Geo-spatial high-risk clusters of Tuberculosis in the global general population: a systematic review.BMC public health · 2023Pooled it
- Spatiotemporal trends in tuberculosis incidence in Thailand, 2012-2023: a nationwide, province-level analysis.Infectious diseases of poverty · 2026Article
- Comparative Clinical Efficacy and Safety of Multi-Segment Thoracolumbar Tuberculosis Treated Through the Posterior "Detour Method" Versus the Combined Anterior-Posterior Approach: A Technique Note and Preliminary Retrospective Study.Orthopaedic surgery · 2026Article
- Predicting Tuberculosis Outcomes Using Routine Surveillance Data in Chiang Mai, Thailand: Retrospective Cohort Study.JMIR public health and surveillance · 2026Article
- Spatiotemporal epidemiology, geographic hotspots, and risk factor associations of drug-resistant tuberculosis incidence in Indonesia: a Bayesian hierarchical modelling approach.Infectious diseases of poverty · 2026Article
- Spatiotemporal epidemiology and associated risk factors of tuberculosis incidence and mortality in Indonesia 2017-2022: a nationwide space-time hierarchical analysis.Population health metrics · 2026Article
- The impact of the toll-like receptor 1 (TLR1) variation rs5743557 on tuberculosis susceptibility in the Thai population.Journal of thoracic disease · 2025Article
- Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand.Scientific reports · 2024Article
- Economic evaluation of diagnosis and treatment for latent tuberculosis infection among contacts of pulmonary tuberculosis patients in Thailand.Scientific reports · 2024Article
- Investigating the spatiotemporal patterns and clustering of attendances for mental health services to inform policy and resource allocation in Thailand.International journal of mental health systems · 2024Article
- Evaluation and comparison of spatial cluster detection methods for improved decision making of disease surveillance: a case study of national dengue surveillance in Thailand.BMC medical research methodology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Tuberculosis is a leading cause of infectious disease globally, especially in developing countries. Better knowledge of spatial and temporal patterns of tuberculosis burden is important for effective control programs as well as informing resource and budget allocation. Studies have demonstrated that TB exhibits highly complex dynamics in both spatial and temporal dimensions at different levels. In Thailand, TB research has been primarily focused on surveys and clinical aspects of the disease burden with little attention on spatiotemporal heterogeneity. This study aimed to describe temporal trends and spatial patterns of TB incidence and mortality in Thailand from 2011 to 2020. Monthly TB case and death notification data were aggregated at the provincial level. Age-standardized incidence and mortality were calculated; time series and global and local clustering analyses were performed for the whole country. There was an overall decreasing trend with seasonal peaks in the winter. There was spatial heterogeneity with disease clusters in many regions, especially along international borders, suggesting that population movement and socioeconomic variables might affect the spatiotemporal distribution in Thailand. Understanding the space-time distribution of TB is useful for planning targeted disease control program activities. This is particularly important in low- and middle-income countries including Thailand to help prioritize allocation of limited resources.
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