Features influencing the health and economic impact of preventing COVID-19 in immunocompromised individuals
Many immunocompromised individuals mount inadequate immune responses following COVID-19 vaccination, thus relying on other social distancing behaviours, particularly shielding, for protection, impacting their quality of life. However, little is known about historical/current levels and effectiveness of shielding or factors influencing individuals' decision to continue shielding. Long-acting antibody pre-exposure prophylaxis (LAAB-PrEP) provides direct protection against COVID-19 in immunocompromised individuals who have been and may continue to shield. However, the proportion and incidence of circulating variants for which LAAB-PrEP would be effective is unpredictable. Given this uncertain behavioural and immuno-epidemiological context, we developed a modelling framework to explore features that most impact health outcomes and cost effectiveness of long-term administration of LAAB-PrEP against COVID-19 infection in immunocompromised individuals in the English context. The model predicted that the incremental cost-effectiveness ratio (ICER) of LAAB-PrEP against COVID-19 in immunocompromised individuals will be largely driven by features of utility of shielding, current/future shielding behaviour, cost of shielding, risk of COVID-19 hospitalisation among immunocompromised individuals and the time horizon used for the cost-effectiveness analysis. The model estimated that for realistic ranges of influential factors, it is possible for LAAB-PrEP to be cost effective under the conditions that most immunocompromised individuals would shield indefinitely if it were not available but would switch to LAAB-PrEP if it were. Thus, if individuals stop shielding when taking LAAB-PrEP, then LAAB-PrEP is cost effective.
Authors
- Lisa J. White (ORCID: https://orcid.org/0000-0002-6523-185X)
- Klas Bergenheim (ORCID: https://orcid.org/0000-0002-2113-8477)
- Wilhelmine Meeraus
- Sofie Arnetorp (ORCID: https://orcid.org/0009-0004-7624-0091)
- Cátia Ferreira (ORCID: https://orcid.org/0000-0001-8312-5199)
- Sabada Dube (ORCID: https://orcid.org/0000-0001-8631-8244)
- Sudhir Venkatesan (ORCID: https://orcid.org/0000-0002-2093-5781)
- Siyu Chen (ORCID: https://orcid.org/0000-0001-9418-2527)
- Sylvia Taylor
Institutions
- AstraZeneca (United Kingdom) (GB)
- Cornell University (US)
- University of Oxford (GB)
- AstraZeneca (France) (FR)
- Federation of Small Businesses (GB)
- AstraZeneca (Switzerland) (CH)
- AstraZeneca (Finland) (FI)
- AstraZeneca (Italy) (IT)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-06-02
- DOI
- https://doi.org/10.1371/journal.pcbi.1013072
- Primary Topic
- COVID-19 and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University of Oxford