Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG. 2018. A Bayesian approach to understanding gender differences in tuberculosis disease burden. [Online]. American Journal of Epidemiology. Available from: https://doi.org/10.1093/aje/kwy131
Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG. A Bayesian approach to understanding gender differences in tuberculosis disease burden [Internet]. American Journal of Epidemiology; 2018. Available from: https://doi.org/10.1093/aje/kwy131
Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG (2018). A Bayesian approach to understanding gender differences in tuberculosis disease burden. [Data Collection]. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwy131
Description
Globally, men have a higher epidemiological burden of tuberculosis (incidence, prevalence, mortality) than women, possibly due to differences in disease incidence, treatment initiation, self-cure and/or untreated-tuberculosis mortality rates. Using a simple, gender-stratified compartmental model, we employed a Bayesian approach to explore which factors most likely explain men's higher burden. We applied the model to smear-positive pulmonary tuberculosis in Viet Nam (2006-07) and Malawi (2013-14). Posterior estimates were consistent with gender-specific prevalence and notifications in both countries. Results supported higher incidence in men and showed that both genders faced longer durations of untreated disease than estimated by self-reports. Prior untreated disease durations were revised upwards 8- to 24-fold, to 2.2 (95% credible interval: 1.7, 2.9) and 2.8 (1.8, 4.1) years for men in Viet Nam and Malawi, respectively, approximately a year longer than for women in each country. Results imply that substantial gender differences in tuberculosis burden are almost solely attributable to men's disadvantages in disease incidence and untreated disease duration. The latter, for which self-reports provide a poor proxy, implies inadequate coverage of case finding strategies. These results highlight an urgent need for better understanding of gender-specific barriers faced by men and support the systematic targeting of men for screening.
Additional information
The study published datasets via the authors' Google drive. A backup copy has been downloaded for preservation purposes.
Data capture method | Experiment |
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Date (Date published in a 3rd party system) | 28 June 2018 |
Language(s) of written materials | English |
Data Creators | Horton, KC, Sumner, T, Houben, Rein M G J, Corbett, EL and White, RG |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 11 Jul 2018 09:38 |
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Last Modified | 08 Jul 2021 12:52 |
Publisher | American Journal of Epidemiology |