Modeling the potential public health and economic impact of different COVID-19 vaccination strategies with an adapted vaccine in the Kingdom of Saudi Arabia.

Background: The dynamic evolution of the virus causing COVID-19 necessitates the development of adapted vaccines to protect against emerging variants.

Research Design And Methods: A combined Markov-decision tree model estimated the outcomes of alternative vaccination strategies. The Saudi Arabian population was stratified into standard-risk and high-risk subpopulations, defined as either the population comprising individuals aged ≥ 65 years and individuals with at least one comorbidity.

Modelling the potential public health impact of different vaccination strategies with an omicron-adapted bivalent vaccine in Thailand.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19 has continuously evolved, requiring the development of adapted vaccines. This study estimated the impact of the introduction and increased coverage of an Omicron-adapted bivalent booster vaccine in Thailand.

Research Design And Methods: The outcomes of booster vaccination with an Omicron-adapted bivalent vaccine versus no booster vaccination were estimated using a combined cohort Markov decision tree model.

A multiscale mathematical model describing the growth and development of bambara groundnut.

A principal objective in agriculture is to maximise food production; this is particularly relevant with the added demands of an ever increasing population, coupled with the unpredictability that climate change brings. Further improvements in productivity can only be achieved with an increased understanding of plant and crop processes. In this respect, mathematical modelling of plants and crops plays an important role.