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Time series analysis of demographic and temporal trends of tuberculosis in Singapore.


ABSTRACT:

Background

Singapore 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.

Methods

Retrospective 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.

Results

There 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?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.

SUBMITTER: Wah W 

PROVIDER: S-EPMC4230736 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature

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Publications

Time series analysis of demographic and temporal trends of tuberculosis in Singapore.

Wah Win W   Das Sourav S   Earnest Arul A   Lim Leo Kang Yang LK   Chee Cynthia Bin Eng CB   Cook Alex Richard AR   Wang Yee Tang YT   Win Khin Mar Kyi KM   Ong Marcus Eng Hock ME   Hsu Li Yang LY  

BMC public health 20141031


<h4>Background</h4>Singapore 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.<h4>Methods</h4>Retrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program  ...[more]

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