Related Experiment Video
Updated: Jun 24, 2026

Simultaneous Quantification of T-Cell Receptor Excision Circles (TRECs) and K-Deleting Recombination Excision Circles (KRECs) by Real-time PCR
Published on: December 6, 2014
[Assessing the number of TB cases using the capture-recapture method with two data sources]
1Universitatea de Medicină şi Farmacie "Gr.T. Popa" Iaşi, Facultatea de Medicină, Clinica de Pneumologie.
The capture-recapture method estimated 1,348 tuberculosis (TB) cases in Iaşi County, indicating notification completeness of 84%. This method improves TB case assessment accuracy.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- Accurate tuberculosis (TB) case ascertainment is crucial for effective control programs.
- Existing surveillance systems may underestimate the true TB burden.
- The capture-recapture method offers a robust approach to estimate undercounted cases.
Purpose of the Study:
- To accurately assess the total number of tuberculosis cases in Iaşi County.
- To evaluate the completeness of TB case notifications using the capture-recapture method.
Main Methods:
- Utilized a capture-recapture methodology employing two data sources: the Registry of Tuberculosis and laboratory records.
- Included TB patients diagnosed and microbiologically examined in Iaşi County.
- Analyzed data from 1,134 notifications and 763 laboratory-confirmed cases.
Main Results:
- The capture-recapture analysis estimated a total of 1,348 TB patients (95% CI: 1,320-1,375).
- The overlap between the two data sources was 51%.
- Notification completeness was estimated at 84.1% (95% CI: 82.5-85.9%), while laboratory data completeness was 56.6% (95% CI: 55.5-57.8%).
Conclusions:
- The capture-recapture method provides a more accurate estimate of the TB burden in Iaşi County.
- Notification completeness is approximately 84%, aligning with World Health Organization (WHO) estimations.
- This study highlights the underestimation of TB cases by single data sources.
Related Concept Videos
What are Populations and Communities?
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Censoring Survival Data
Statistical Methods for Analyzing Epidemiological Data
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Comparing the Survival Analysis of Two or More Groups
