A HUMAN-CENTRED DESIGN APPROACH TOWARDS DEVELOPMENT OF A DIGITAL CLINICAL DECISION-SUPPORT SYSTEM FOR MANAGEMENT OF HOSPITALISED PATIENTS WITH DENGUE

Journal article

sified recommendations resulted in a sharp increase of the proportion of the immunized population. Methods: To ascertain that the amended recommendations would not result in increased risk of breakthroughs the SFOPH started to annually monitor TBE vaccine failures with particular attention to older age groups. Additionally, a matched case-control study evaluated TBE vaccine effectiveness by booster interval. Findings: Surveillance data of the SFOPH demonstrates that in the initial 3 years after the last vaccine dose the annual breakthrough incidence was 7.7 (95% CI 5.0-11.7),while in the years 4 to 10 it was 5.4 (3.9-7.5) per year. The case-control study demonstrated a vaccine effectiveness of 91.6 (95% CI 88.4-94.0)%when the most recent dose was received < 5 years, of 95.2 (92.4-97.0)%among those with the last booster dose 5 to 10 years, and of 98.5 (96.8-99.2)%when the most recent dose was received > 10 years prior to infection. Conclusion:Both studies indicate that there is not even a trend indicating an increase in vaccine failures with longer booster intervals. Obviously, cell mediated immunity assures protection in above 95% despite of declining antibodies over time. Thus, the cumbersome TBE vaccine schedules should be reconsidered. Longer intervals will result in increased acceptability, lower costs and thus in a public health success.

Authors: Hernandez, B; Ming, D; Ho, C; Quang, HN; Phuoc, AL

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Elsevier
• Journal: International Journal of Infectious Diseases
• Volume: 130
• Pages: S87-S88
• Publication date: 2023-05-01
• DOI: 10.1016/j.ijid.2023.04.217
• EISSN: 1878-3511
• ISSN: 1201-9712
• Language: English
• Keywords: Decision support system; Business; Artificial intelligence; Computer science; Process management; Virology; Medicine; Clinical decision support system; Dengue fever; Intensive care medicine; Medical emergency