ArticleBMC public health2014
Time series analysis of demographic and temporal trends of tuberculosis in Singapore.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Drivers of Seasonal Variation in Tuberculosis Incidence: Insights from a Systematic Review and Mathematical Model.Epidemiology (Cambridge, Mass.) · 2018Pooled it
- Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques.Public health challenges · 2026Review
- Trends in the Notification Rates and Treatment Outcome of Tuberculosis in Shandong Province, China, 2005-2021.Infection and drug resistance · 2024Article
- Epidemiology and economic burden of bronchiectasis requiring hospitalisation in Singapore.ERJ open research · 2021Article
- Article
- Analysis and predication of tuberculosis registration rates in Henan Province, China: an exponential smoothing model study.Infectious diseases of poverty · 2020Article
- The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005-2018.BMC public health · 2019Article
- Evidence for heterogeneity in China's progress against pulmonary tuberculosis: uneven reductions in a major center of ongoing transmission, 2005-2017.BMC infectious diseases · 2019Article
- Asthma, Sinonasal Disease, and the Risk of Active Tuberculosis.The journal of allergy and clinical immunology. In practice · 2019Article
- Trend Analysis And Seasonality Of Tuberculosis Among Patients At The Hiwot Fana Specialized University Hospital, Eastern Ethiopia: A Retrospective Study.Risk management and healthcare policy · 2019Article
- Article
- Time-series analysis of tuberculosis from 2005 to 2017 in China.Epidemiology and infection · 2018Article
- Rural counties chlamydia and gonorrhea rates in Pennsylvania among adolescents and young adults.Annals of epidemiology · 2017Article
- Time series modelling to forecast prehospital EMS demand for diabetic emergencies.BMC health services research · 2017Article
- Spatial dynamics of TB within a highly urbanised Asian metropolis using point patterns.Scientific reports · 2017Article
- Tuberculosis Case Finding in Benin, 2000-2014 and Beyond: A Retrospective Cohort and Time Series Study.Tuberculosis research and treatment · 2016Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSingapore is an intermediate tuberculosis (TB) incidence country, with a recent rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified population characteristics that were associated with the recent increase in TB cases, and built a predictive model of TB risk in Singapore.
methodsRetrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program (STEP) registry. A predictive model was developed based on the data collected from 1995 to 2010 and validated using the data collected in 2011.
resultsThere was a significant difference in demographic characteristics between resident and non-resident TB cases. TB risk was higher in non-residents than in residents throughout the period. We found no significant association between demographic and macro-economic factors and annual incidence of TB with or without adjusting for the population-at-risk. Despite growing non-resident population, there was a significant decrease in the non-resident TB risk (p < 0.0001). However, there was no evidence of trend in the resident TB risk over this time period, though differences between different demographic groups were apparent with ethnic minorities experiencing higher incidence rates.
conclusionThe study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting.
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