Performance characteristics and potential public health impact of improved pre-erythrocytic malaria vaccines targeting childhood burden
Malinga, J.; Braunack-Mayer, L.; Masserey, T.; Cairns, M.; Kelly, S. L.; Le Rutte, E.; Nekkab, N.; Penny, M.
10.1101/2024.11.12.24317082 medRxivShow abstract
New malaria vaccine development builds on groundbreaking recommendations and roll-out of two approved pre-erythrocytic vaccines (PEVs); RTS,S/AS01 and R21/MM. Whilst these vaccines are effective in reducing childhood malaria within yearly routine immunization programs or seasonal vaccination, there is little evidence on how different PEV efficacies, durations of protection, and spacing between doses influence the potential to avert uncomplicated and severe childhood malaria. Mainly, lacking understanding of the required vaccine properties and delivery strategies that lead to an effective childhood vaccine with multi-year protection. We used an individual-based model of malaria transmission informed by trial data to quantify trade-offs between PEV performance properties and impact across different endemicities, deployment schedules, and coverage levels. We found that deploying a vaccine with 90% initial efficacy, with a six to 12-month half-life duration of protection, co-administered with a blood-stage drug, followed by yearly boosters, results in 60-80% yearly incidence reduction, consistent with seasonal RTS,S and R21 trials. Halting vaccination after five years, leads to sustained protection of at least a 35% incidence reduction in children <six years in the 12 months following cessation in settings where PfPR2-10 <30%. Increasing the half-life duration to 12 -18 months or reaching more children provides the same health impact with lower vaccine efficacy. Without a booster (fourth dose), high efficacy (>90%) and longer half-life duration (>12 months) are required to sustain impact beyond primary vaccination, averting up to half the preceding years burden. The contribution of each property to the overall impact varies by setting and clinical endpoint, indicating that public health goals should dictate key vaccine performance criteria. Overall, our findings support the need for well-defined target product profiles for long duration vaccines linking priority use cases of where, how, and to whom to deploy new malaria vaccines, to maximize public health impact.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Model-informed target product profiles of long acting-injectables for use as seasonal malaria prevention 95%
- Cost-effectiveness Analysis of Alternative Infant and Neonatal Rotavirus Vaccination Schedules in Malawi 95%
- Modelling COVID-19 Vaccine Breakthrough Infections in Highly Vaccinated Israel – the effects of waning immunity and third vaccination dose 94%
Similar papers in this journal
Similar papers in this journal
- Potential health and economic impact of paediatric vaccination using next generation influenza vaccines in Kenya: a modelling study 95%
- Public health impact of catch-up vaccination or additional booster doses with pre-erythrocytic malaria vaccine R21/Matrix-M: a modelling study 95%
- Projecting vaccine demand and impact for emerging zoonotic pathogens 94%
Similar papers in this journal
- Safety and efficacy of the blood-stage malaria vaccine RH5.1/Matrix-M in Burkina Faso: interim results of a double-blind, randomised, controlled phase 2b trial in children 94%
- Persistent malaria transmission from asymptomatic children despite highly effective malaria control in eastern Uganda 92%
- Initial protection against Omicron in children and adolescents by BNT162b2 92%
Similar papers in this journal
- Health impact and cost-effectiveness of COVID-19 vaccination in Sindh Province, Pakistan 96%
- Long term vaccination strategies to mitigate the impact of SARS-CoV-2 transmission: a modelling study 95%
- The impact of geographic targeting of oral cholera vaccination in sub-Saharan Africa: a modeling study 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.