A decision support tool for risk–benefit analysis of Japanese encephalitis vaccine in travellers

Author:

Lau Colleen L123,Mills Deborah J3,Mayfield Helen12,Gyawali Narayan4,Johnson Brian J4,Lu Hongen12,Allel Kasim5,Britton Philip N678,Ling Weiping92,Moghaddam Tina1011,Furuya-Kanamori Luis12

Affiliation:

1. School of Public Health , Faculty of Medicine, , Herston, QLD , Australia

2. The University of Queensland , Faculty of Medicine, , Herston, QLD , Australia

3. Dr Deb The Travel Doctor, Travel Medicine Alliance , Brisbane, QLD , Australia

4. Mosquito Control Laboratory, QIMR Berghofer Medical Research Institute , Herston, QLD , Australia

5. Department of Disease Control, London School of Hygiene and Tropical Medicine , London , UK

6. Department of Infectious Diseases and Microbiology, Children's Hospital Westmead , Westmead, NSW , Australia

7. Child and Adolescent Health and Sydney ID , Sydney Medical School, , Sydney, NSW , Australia

8. University of Sydney , Sydney Medical School, , Sydney, NSW , Australia

9. UQ Centre for Clinical Research , Faculty of Medicine, , Herston, QLD , Australia

10. School of Information Technology and Electrical Engineering , Faculty of Science, , St Lucia, QLD , Australia

11. The University of Queensland , Faculty of Science, , St Lucia, QLD , Australia

Abstract

Abstract Background During pre-travel consultations, clinicians and travellers face the challenge of weighing the risks verus benefits of Japanese encephalitis (JE) vaccination due to the high cost of the vaccine, low incidence in travellers (~1 in 1 million), but potentially severe consequences (~30% case-fatality rate). Personalised JE risk assessment based on the travellers’ demographics and travel itinerary is challenging using standard risk matrices. We developed an interactive digital tool to estimate risks of JE infection and severe health outcomes under different scenarios to facilitate shared decision-making between clinicians and travellers. Methods A Bayesian network (conditional probability) model risk–benefit analysis of JE vaccine in travellers was developed. The model considers travellers’ characteristics (age, sex, co-morbidities), itinerary (destination, departure date, duration, setting of planned activities) and vaccination status to estimate the risks of JE infection, the development of symptomatic disease (meningitis, encephalitis), clinical outcomes (hospital admission, chronic neurological complications, death) and adverse events following immunization. Results In low-risk travellers (e.g. to urban areas for <1 month), the risk of developing JE and dying is low (<1 per million) irrespective of the destination; thus, the potential impact of JE vaccination in reducing the risk of clinical outcomes is limited. In high-risk travellers (e.g. to rural areas in high JE incidence destinations for >2 months), the risk of developing symptomatic disease and mortality is estimated at 9.5 and 1.4 per million, respectively. JE vaccination in this group would significantly reduce the risk of symptomatic disease and mortality (by ~80%) to 1.9 and 0.3 per million, respectively. Conclusion The JE tool may assist decision-making by travellers and clinicians and could increase JE vaccine uptake. The tool will be updated as additional evidence becomes available. Future work needs to evaluate the usability of the tool. The interactive, scenario-based, personalised JE vaccine risk–benefit tool is freely available on www.VaxiCal.com.

Funder

International Society of Travel Medicine Research Awards

GeoSentinel Foundation

Australian National Health and Medical Research Council

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference72 articles.

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2. Inactivated Japanese encephalitis virus vaccine recommendations of the Advisory Committee on Immunization Practices (ACIP);Centers for Disease Control and Prevention;MMWR Recomm Rep,1993

3. Japanese encephalitis vaccine: recommendations of the Advisory Committee on Immunization Practices;Hills;MMWR Recomm Rep,2019

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5. Japanese encephalitis virus: changing the clinical landscape of encephalitis in Australia;Allen;Med J Aust,2023

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