A Bayesian Approach to Understanding Sex Differences in Tuberculosis Disease Burden. Issue 11 (27th June 2018)
- Record Type:
- Journal Article
- Title:
- A Bayesian Approach to Understanding Sex Differences in Tuberculosis Disease Burden. Issue 11 (27th June 2018)
- Main Title:
- A Bayesian Approach to Understanding Sex Differences in Tuberculosis Disease Burden
- Authors:
- Horton, Katherine C
Sumner, Tom
Houben, Rein M G J
Corbett, Elizabeth L
White, Richard G - Abstract:
- Abstract: Globally, men have a higher epidemiologic burden of tuberculosis (incidence, prevalence, mortality) than women do, possibly due to differences in disease incidence, treatment initiation, self-cure, and/or untreated-tuberculosis mortality rates. Using a simple, sex-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 Vietnam (2006–2007) and Malawi (2013–2014). Posterior estimates were consistent with sex-specific prevalence and notifications in both countries. Results supported higher incidence in men and showed that both sexes faced longer durations of untreated disease than estimated by self-reports. Prior untreated disease durations were revised upward 8- to 24-fold, to 2.2 (95% credible interval: 1.7, 2.9) years for men in Vietnam and 2.8 (1.8, 4.1) years for men in Malawi, approximately a year longer than for women in each country. Results imply that substantial sex 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-related barriers faced by men and support the systematic targeting of men for screening.
- Is Part Of:
- American journal of epidemiology. Volume 187:Issue 11(2018)
- Journal:
- American journal of epidemiology
- Issue:
- Volume 187:Issue 11(2018)
- Issue Display:
- Volume 187, Issue 11 (2018)
- Year:
- 2018
- Volume:
- 187
- Issue:
- 11
- Issue Sort Value:
- 2018-0187-0011-0000
- Page Start:
- 2431
- Page End:
- 2438
- Publication Date:
- 2018-06-27
- Subjects:
- access to health care -- Bayes theorem -- gender -- incidence -- mathematical model -- sex -- time to treatment -- tuberculosis
Epidemiology -- Periodicals
Public health -- Periodicals
614.4 - Journal URLs:
- http://aje.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/aje/kwy131 ↗
- Languages:
- English
- ISSNs:
- 0002-9262
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0824.600000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12141.xml