Skip to main navigation Skip to search Skip to main content

Deterministic modelling of asymptomatic spread and disease stage progression in vaccine preventable infectious diseases

Research output: Contribution to journalArticlepeer-review

110 Downloads (Pure)

Abstract

This study introduces a deterministic formulation for modelling the asymptotic spread of a vaccine preventable disease as well as the different stages for the progression of the disease. We derive the formula for the associated basic reproduction number. To illustrate the proposed model, we use data from the 2017–2018 diphtheria outbreak in Yemen and fit the parameters of the model. A sensitivity analysis of the basic reproduction number, with respect to the model parameters, show that this number increases with an increase of the transmission rate while this number decreases when vaccination rate increases.
Original languageEnglish
JournalQuantitative Biology
Early online date14 Jul 2024
DOIs
Publication statusEarly online date - 14 Jul 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Deterministic modelling of asymptomatic spread and disease stage progression in vaccine preventable infectious diseases'. Together they form a unique fingerprint.

Cite this