1. Burden of typhoid fever in low-income and middle-income countries: a systematic, literature-based update with risk-factor adjustment 
Dr Vittal Mogasale, PhD, Brian Maskery, PhD, R Leon Ochiai, DPhil, Jung Seok Lee, MS, Vijayalaxmi V Mogasale, MD, Enusa Ramani, MSc, Young Eun Kim, MS, Jin Kyung Park, PhD, Thomas F Wierzba, PhD 
The Lancet Global Health 
Volume 2, Issue 10, Pages e570-e580 (October 2014)
DOI: /S X(14)
Copyright © 2014 Mogasale et al. Open Access article distributed under the terms of CC BY-NC-SA Terms and Conditions

2. Figure 1 Flowchart of typhoid disease burden estimation
*We defined high risk as “rural population lacking access to improved water and urban population living in slums”. We defined at-risk as “rural population having access to improved water and urban population not living in slums”.
The Lancet Global Health 2014 2, e570-e580DOI: ( /S X(14) )
Copyright © 2014 Mogasale et al. Open Access article distributed under the terms of CC BY-NC-SA Terms and Conditions

3. Figure 2
Typhoid incidence in low-income and middle-income countries using three methods (unadjusted for blood-culture sensitivity)
The Lancet Global Health 2014 2, e570-e580DOI: ( /S X(14) )
Copyright © 2014 Mogasale et al. Open Access article distributed under the terms of CC BY-NC-SA Terms and Conditions

4. Figure 3
Typhoid incidence in low-income and middle-income countries (risk-adjusted and corrected for blood culture sensitivity)
The Lancet Global Health 2014 2, e570-e580DOI: ( /S X(14) )
Copyright © 2014 Mogasale et al. Open Access article distributed under the terms of CC BY-NC-SA Terms and Conditions