Math. Model. Nat. Phenom.
Volume 7, Number 3, 2012Epidemiology
|Page(s)||78 - 98|
|Published online||06 June 2012|
Could changes in national tuberculosis vaccination policies be ill-informed ?
Department of Mathematics and Computer Science, Xavier
University, 3800 Victory
Parkway, Cincinnati, Ohio
2 School of Mathematical and Statistical Sciences, Arizona State University, P.O. Box 871804, Tempe, Arizona 85287, USA
⋆ Corresponding author. E-mail: firstname.lastname@example.org
National policies regarding the BCG vaccine for tuberculosis vary greatly throughout the international community and several countries are currently considering discontinuing universal vaccination. Detractors of BCG point to its uncertain effectiveness and its interference with the detection and treatment of latent tuberculosis infection (LTBI).
In order to quantify the trade-off between vaccination and treatment of LTBI, a mathematical model was designed and calibrated to data from Brazil, Ghana, Germany, India, Mexico, Romania, the United Kingdom and the United States. Country-specific thresholds for when LTBI treatment outperforms mass vaccination were found and the consequences of policy changes were estimated.
Our results suggest that vaccination outperforms LTBI treatment in all settings but with greatly reduced efficiency in low incidence countries. While national policy statements emphasize BCG’s interference with LTBI detection, we find that reinfection should be more determinant of a country’s proper policy choice.
Mathematics Subject Classification: 92B05 / 37N25
Key words: tuberculosis / BCG / vaccination / mathematical modeling / threshold analysis / latent tuberculosis detection / latent tuberculosis treatment
© EDP Sciences, 2012
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