Requirements for global elimination of hepatitis B: a modelling study

Slides:



Advertisements
Similar presentations
Crohn's disease Prof Daniel C Baumgart, MD, Prof William J Sandborn, MD The Lancet Volume 380, Issue 9853, Pages (November 2012) DOI: /S (12)
Advertisements

Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis  Dr Marek Majdan, PhD, Dominika Plancikova, MSc, Alexandra Brazinova, PhD,
Volume 376, Issue 9755, Pages (November 2010)
Role of mass drug administration in elimination of Plasmodium falciparum malaria: a consensus modelling study  Oliver J Brady, DPhil, Hannah C Slater,
Preventive malaria treatment for contacts of patients with Ebola virus disease in the context of the west Africa 2014–15 Ebola virus disease response:
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study  Dr Brian G Williams, PhD, Somya Gupta, MA,
Volume 389, Issue 10076, Pages (April 2017)
Authorship trends in The Lancet Global Health
Volume 391, Issue 10123, Pages (March 2018)
Total and cause-specific mortality before and after the onset of the Greek economic crisis: an interrupted time-series analysis  Ioannis Laliotis, PhD,
Prediction of cervical cancer incidence in England, UK, up to 2040, under four scenarios: a modelling study  Alejandra Castanon, MD, Rebecca Landy, PhD,
The commercial determinants of health
Helen Cox, Mark P Nicol  The Lancet Infectious Diseases 
The number of privately treated tuberculosis cases in India: an estimation from drug sales data  Dr Nimalan Arinaminpathy, DPhil, Deepak Batra, PGDM,
Global prevalence of injecting drug use and sociodemographic characteristics and prevalence of HIV, HBV, and HCV in people who inject drugs: a multistage.
Estimating the burden of disease attributable to injecting drug use as a risk factor for HIV, hepatitis C, and hepatitis B: findings from the Global Burden.
Epidemiological data for hepatitis D in Africa
Volume 366, Issue 9499, Pages (November 2005)
Nicola Low, Joost H Smid  The Lancet Public Health 
Future challenges for clinical care of an ageing population infected with HIV: a modelling study  Dr Mikaela Smit, PhD, Kees Brinkman, MD, Suzanne Geerlings,
Prof Seena Fazel, MD, Taanvi Ramesh, MSc, Prof Keith Hawton, FMedSci 
Progress and prospects for the control of HIV and tuberculosis in South Africa: a dynamical modelling study  Dr Brian G Williams, PhD, Somya Gupta, MA,
Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3·6 million adults in the UK  Krishnan Bhaskaran, PhD,
Anthony Rodgers, Alistair Woodward, Boyd Swinburn, William H Dietz 
Prevalence of tuberculosis, hepatitis C virus, and HIV in homeless people: a systematic review and meta-analysis  Ulla Beijer, PhD, Achim Wolf, MSc, Dr.
Volume 388, Issue 10063, Pages (December 2016)
Maternal pre-pregnancy infection with hepatitis B virus and the risk of preterm birth: a population-based cohort study  Jue Liu, PhD, Shikun Zhang, MD,
Volume 384, Issue 9941, Pages (August 2014)
Changes in chlamydia prevalence and duration of infection estimated from testing and diagnosis rates in England: a model-based analysis using surveillance.
Volume 5, Issue 11, Pages (November 2018)
Role of mass drug administration in elimination of Plasmodium falciparum malaria: a consensus modelling study  Oliver J Brady, DPhil, Hannah C Slater,
Disparities in mortality among 25–44-year-olds in England: a longitudinal, population- based study  Prof Evangelos Kontopantelis, PhD, Prof Iain Buchan,
Measuring health and economic wellbeing in the Sustainable Development Goals era: development of a poverty-free life expectancy metric and estimates for.
Malaria morbidity and mortality in Ebola-affected countries caused by decreased health- care capacity, and the potential effect of mitigation strategies:
Cost-effectiveness of the controlled temperature chain for the hepatitis B virus birth dose vaccine in various global settings: a modelling study  Nick.
Democratic reform and health: interpreting causal estimates
Authorship trends in The Lancet Global Health
Risk of poor development in young children in low-income and middle-income countries: an estimation and analysis at the global, regional, and country.
Age-dependent health risk from ambient air pollution: a modelling and data analysis of childhood mortality in middle-income and low-income countries 
Cost-effectiveness of community-based screening and treatment for chronic hepatitis B in The Gambia: an economic modelling analysis  Dr Shevanthi Nayagam,
Tobacco use and second-hand smoke exposure in young adolescents aged 12–15 years: data from 68 low-income and middle-income countries  Prof Bo Xi, PhD,
Elder abuse prevalence in community settings: a systematic review and meta-analysis  Yongjie Yon, MA, Christopher R Mikton, PhD, Zachary D Gassoumis, PhD,
Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study  Jeanette K Birnbaum, PhD,
Forecasting the care needs of the older population in England over the next 20 years: estimates from the Population Ageing and Care Simulation (PACSim)
Volume 393, Issue 10178, Pages (March 2019)
Burden of Streptococcus pneumoniae and Haemophilus influenzae type b disease in children in the era of conjugate vaccines: global, regional, and national.
Acceptability and feasibility of a screen-and-treat programme for hepatitis B virus infection in The Gambia: the Prevention of Liver Fibrosis and Cancer.
Tuberculosis control interventions targeted to previously treated people in a high- incidence setting: a modelling study  Florian M Marx, MD, Reza Yaesoubi,
Epidemiological data for hepatitis D in Africa
Volume 3, Issue 2, Pages e94-e104 (February 2016)
Thank you to our diverse (but not diverse enough) reviewers
Volume 392, Issue 10160, Pages (November 2018)
Human papillomavirus types from infection to cancer in the anus, according to sex and HIV status: a systematic review and meta-analysis  Chunqing Lin,
Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration.
Estimating the number of infections caused by antibiotic-resistant Escherichia coli and Klebsiella pneumoniae in 2014: a modelling study  Elizabeth Temkin,
Effectiveness of a triple-drug regimen for global elimination of lymphatic filariasis: a modelling study  Michael A Irvine, PhD, Wilma A Stolk, PhD, Morgan.
Effectiveness of strategies to improve health-care provider practices in low-income and middle-income countries: a systematic review  Alexander K Rowe,
Preventive malaria treatment for contacts of patients with Ebola virus disease in the context of the west Africa 2014–15 Ebola virus disease response:
National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis 
Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis  Dr Marek Majdan, PhD, Dominika Plancikova, MSc, Alexandra Brazinova, PhD,
Age-targeted tuberculosis vaccination in China and implications for vaccine development: a modelling study  Rebecca C Harris, PhD, Tom Sumner, PhD, Gwenan.
Jean H Humphrey, Andrew J Prendergast  The Lancet Global Health 
Reducing the cardiovascular disease burden for people of all ages in the Americas region: analysis of mortality data, 2000–15  Prof Peter Lloyd-Sherlock,
Improving management of neonatal infections
Refining treatment choices for ADHD
The escalating global burden of serious health-related suffering: projections to 2060 by world regions, age groups, and health conditions  Katherine E.
Efficacy of live oral rotavirus vaccines by duration of follow-up: a meta-regression of randomised controlled trials  Andrew Clark, PhD, Kevin van Zandvoort,
Institutional challenges to achieving health equity in Ecuador
Sickle cell disease: a new era
Global burden of latent multidrug-resistant tuberculosis: trends and estimates based on mathematical modelling  Gwenan M Knight, PhD, C Finn McQuaid,
Presentation transcript:

Requirements for global elimination of hepatitis B: a modelling study Dr Shevanthi Nayagam, MBBS, Prof Mark Thursz, MD, Elisa Sicuri, PhD, Lesong Conteh, PhD, Stefan Wiktor, MD, Daniel Low-Beer, PhD, Prof Timothy B Hallett, PhD  The Lancet Infectious Diseases  Volume 16, Issue 12, Pages 1399-1408 (December 2016) DOI: 10.1016/S1473-3099(16)30204-3 Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 1 Model calibration (data vs modelled results) Calibration of the model outputs to available epidemiological data from each of the 21 world regions. Data versus modelled results by region for HBsAg prevalence (ages 5–70 years), HBeAg prevalence in HBsAg-positive people (from birth to age 40 years), and HBV-related cancer deaths (all ages in 2012). For HBsAg prevalence, individual data points are presented for each of the 21 regions, both sexes, and three age groups (5–10 years, 10–40 years, and 40–70 years) at two timepoints (1990 and 2005). For HBeAg prevalence, individual data points are presented for each of the 21 regions, both sexes, and three age groups (0–10 years, 20–30 years, and 30–40 years) at two timepoints (1990 and 2005). The lines are colour-coded to represent the seven different continent groupings. Individual regional calibration figures are in the appendix (p 45). HBsAg=hepatitis B surface antigen. HBeAg=hepatitis B e antigen. HBV=hepatitis B virus. The Lancet Infectious Diseases 2016 16, 1399-1408DOI: (10.1016/S1473-3099(16)30204-3) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 2 Epidemic projections for HBV (A) HBV incidence of new cases of chronic HBV, prevalence of HBV, and deaths caused by HBV in the status quo scenario (all interventions remain at current levels; blue line) and no historical intervention scenario (assumed no interventions have ever been applied; black line). (B) Ages of people in which new cases of chronic HBV occur in the status quo scenario. HBV=hepatitis B virus. The Lancet Infectious Diseases 2016 16, 1399-1408DOI: (10.1016/S1473-3099(16)30204-3) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 3 Global impact of interventions against HBV (A) Impact of interventions on incidence of new chronic infections. (B) Impact of interventions on HBV-related deaths. For description of intervention and targets see table. Yellow lines are overlapped by the purple lines in (A and B). Green line is overlapped by light blue line in (A). (C) Year of elimination of incidence of new chronic infections with status quo scenario and with maximal interventions. (D) Year of elimination of HBV-related deaths. *Elimination defined as reduction of incidence of new chronic infection to fewer than 10 per million people or reduction in HBV-related deaths to fewer than 50 per million people. Yellow bars represent the year of elimination at status quo and purple bars represents the year of elimination with maximal interventions (minus cure). Open-ended bars mean that elimination is not achieved by 2100. HBV=hepatitis B virus. PPT=peripartum antiviral therapy (for hepatitis B e antigen-positive mothers). The Lancet Infectious Diseases 2016 16, 1399-1408DOI: (10.1016/S1473-3099(16)30204-3) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions

Figure 4 Cost of combined interventions and ratio of HBV and HIV treatment need (A) Cost of combined interventions with and without cure. The solid lines represent the cost of the combined interventions in the absence of a cure. The dotted lines represent the costs with the introduction of a cure in 2025. The blue lines represent the total global cost. The red lines represent the costs incurred in LICs and LMICs only (as defined by the World Bank in 201430). (B) Ratio of people requiring treatment for HBV (modelled estimates for 2025) to people requiring treatment for HIV (HIV estimate from UNAIDS 201331). HBV=hepatitis B virus. LICs=low-income countries. LMICs=lower-middle-income countries. The Lancet Infectious Diseases 2016 16, 1399-1408DOI: (10.1016/S1473-3099(16)30204-3) Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license Terms and Conditions