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Requirements for global elimination of hepatitis B: a modelling study

Wednesday, 12th of October 2016 Print

Lancet Infect Dis. 2016 Sep 13. pii: S1473-3099(16)30204-3. doi: 10.1016/S1473-3099(16)30204-3. [Epub ahead of print]

Requirements for global elimination of hepatitis B: a modelling study

Nayagam S1, Thursz M2, Sicuri E3, Conteh L4, Wiktor S5, Low-Beer D5, Hallett TB6.

Author information

  • 1Division of Digestive Diseases, St Marys Hospital, Imperial College London, London, UK; Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. Electronic address: s.nayagam01@imperial.ac.uk.
  • 2Division of Digestive Diseases, St Marys Hospital, Imperial College London, London, UK.
  • 3Health Economics Group, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK; ISGlobal, Barcelona Centre for International Health Research (CRESIB), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
  • 4Health Economics Group, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
  • 5Global Hepatitis and HIV Department, World Health Organization, Geneva, Switzerland.
  • 6Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.

Abstract below; full text is at http://www.thelancet.com/journals/laninf/article/PIIS1473-3099(16)30204-3/abstract

BACKGROUND:

Despite the existence of effective prevention and treatment interventions, hepatitis B virus (HBV) infection continues to cause nearly 1 million deaths each year. WHO aspires to global control and elimination of HBV infection. We aimed to evaluate the potential impact of public health interventions against HBV, propose targets for reducing incidence and mortality, and identify the key developments required to achieve them.

METHODS:

We developed a simulation model of the global HBV epidemic, incorporating data on the natural history of HBV, prevalence, mortality, vaccine coverage, treatment dynamics, and demographics. We estimate the impact of current interventions and scaling up of existing interventions for prevention of infection and introducing wide-scale population screening and treatment interventions on the worldwide epidemic.

FINDINGS:

Vaccination of infants and neonates is already driving a large decrease in new infections; vaccination has already prevented 210 million new chronic infections by 2015 and will have averted 1·1 million deaths by 2030. However, without scale-up of existing interventions, our model showed that there will be a cumulative 63 million new cases of chronic infection and 17 million HBV-related deaths between 2015 and 2030 because of ongoing transmission in some regions and poor access to treatment for people already infected. A target of a 90% reduction in new chronic infections and 65% reduction in mortality could be achieved by scaling up the coverage of infant vaccination (to 90% of infants), birth-dose vaccination (to 80% of neonates), use of peripartum antivirals (to 80% of hepatitis B e antigen-positive mothers), and population-wide testing and treatment (to 80% of eligible people). These interventions would avert 7·3 million deaths between 2015 and 2030, including 1·5 million cases of cancer deaths. An elimination threshold for incidence of new chronic infections would be reached by 2090 worldwide. The annual cost would peak at US$7·5 billion worldwide ($3·4 billion in low-income and lower-middle-income countries), but decrease rapidly and this would be accelerated if a cure is developed.

INTERPRETATION:

Scale-up of vaccination coverage, innovations in scalable options for prevention of mother-to-child transmission, and ambitious population-wide testing and treatment are needed to eliminate HBV as a major public health threat. Achievement of these targets could make a major contribution to one of the Sustainable Development Goals of combating hepatitis.

FUNDING:

Medical Research Council.

Copyright © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license. Published by Elsevier Ltd.. All rights reserved.

 

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