Mathematical modeling of diphtheria transmission in Thailand.

Abstract

In this work, a mathematical model for describing diphtheria transmission in Thailand is proposed. Based on the course of diphtheria infection, the population is divided into 8 epidemiological classes, namely, susceptible, symptomatic infectious, asymptomatic infectious, carrier with full natural-acquired immunity, carrier with partial natural-acquired immunity, individual with full vaccine-induced immunity, and individual with partial vaccine-induced immunity. Parameter values in the model were either directly obtained from the literature, estimated from available data, or estimated by means of sensitivity analysis. Numerical solutions show that our model can correctly describe the decreasing trend of diphtheria cases in Thailand during the years 1977-2014. Furthermore, despite Thailand having high DTP vaccine coverage, our model predicts that there will be diphtheria outbreaks after the year 2014 due to waning immunity. Our model also suggests that providing booster doses to some susceptible individuals and those with partial immunity every 10 years is a potential way to inhibit future diphtheria outbreaks.

• Authors: Kan Sornbundit, Wannapong Triampo, Charin Modchang
• Journal: Computers in biology and medicine (Comput Biol Med) Vol. 87 Pg. 162-168 (08 01 2017) ISSN: 1879-0534 [Electronic] United States
• PMID: 28599215 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2017 Elsevier Ltd. All rights reserved.

Topics

• Diphtheria (epidemiology, transmission)
• Humans
• Models, Theoretical
• Thailand (epidemiology)