HYBRID EVENT: You can participate in person at Paris, France or Virtually from your home or work.

6th Edition of World Congress on Infectious Diseases

June 24-26, 2024 | Paris, France

June 24 -26, 2024 | Paris, France
Infection 2024

Mark Asare Owusu

Speaker at Infection Conferences - Mark Asare Owusu
University of Cambridge, United Kingdom
Title : Using mathematical models to explore future meningitis vaccination strategies in Ghana

Abstract:

The African meningitis belt, a region which stretches from Senegal to Ethiopia including Ghana, has experienced irregular but periodic epidemics of meningitis, primarily due to Neisseria meningitidis for over a hundred years. The introduction of MenAfriVac, a conjugate vaccine which protects against meningococcal serogroup A (MenA) since 2012 has contributed to a drastic decline in cases due to serogroup A in Ghana. However, cases due to other serogroups of meningococcal meningitis remain a public health challenge in Ghana. The current burden of the disease in Ghana emphasises the need for the upcoming multivalent meningococcal conjugate vaccines (MMCVs) which protect against multiple serogroups (ACWYX). The boosting advantage against MenA due to the MMCVs is important because serogroup A has the potential to rebound as suggested in the previous study. The key question pertaining to the MMCVs’ implementation in this context is the age group to be targeted to best offer this boosting advantage against MenA most efficiently.

The study considered age-specific Susceptible, Carrier, Ill and Recovered (SCIR-type) deterministic models with their vaccinated counterparts. A range of different age targets included 1-29 year olds, 1-19 year olds and 1-14 year olds under different vaccine uptake levels were considered.

For the results, all the proposed vaccine scenarios predicted at least 15 years time to resurgence of MenA following the MMCVs implementation. During this period, the population of carriers can be extremely low. Also, the competing MMCVs implementation approaches predicted a protected population range of approximately (31- 45) % by 2030 against 25% under no MMCVs. These results imply that all the proposed vaccine strategies are shown to be good candidates to be adopted for the MMCVs with better performance under a wider age target.

Hence, the study suggests that further analysis including the possibility of the elimination of MenA is necessary before making policy recommendations.

The study considered age-specific Susceptible, Carrier, Ill and Recovered (SCIR-type) deterministic models with their vaccinated counterparts. A range of different age targets included 1-29 year olds, 1-19 year olds and 1-14 year olds under different vaccine uptake levels were considered
For the results, all the proposed vaccine scenarios predicted at least 15 years time to resurgence of MenA following the MMCVs implementation. During this period, the population of carriers can be extremely low. Also, the competing MMCVs implementation approaches predicted a protected population range of approximately (31- 45) % by 2030 against 25% under no MMCVs. These results imply that all the proposed vaccine strategies are shown to be good candidates to be adopted for the MMCVs with better performance under a wider age target.
Hence, the study suggests that further analysis including the possibility of the elimination of MenA is necessary before making policy recommendations.

Biography:

A citizen of Ghana, Mark graduated from the Kwame Nkrumah University of Science and Technology in 2018 under the Department of Mathematics. After his undergraduate study, he was awarded a scholarship from the Mastercard Foundation to pursue a master’s in mathematics at the African Institute for Mathematical Sciences (AIMS), in Ghana, in 2019. Mark has a great interest in using mathematical models to better understand the dynamics of infectious diseases to inform public health decisions. Mark is currently a second-year PhD student under the supervision of Prof. Caroline Trotter. His research focuses on the epidemiology and control of meningitis in Ghana: an application of mathematical modelling.

Watsapp