Publication: Mathematical modeling of diphtheria transmission in Thailand
Issued Date
2017-08-01
Resource Type
ISSN
18790534
00104825
00104825
Other identifier(s)
2-s2.0-85020299296
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Computers in Biology and Medicine. Vol.87, (2017), 162-168
Suggested Citation
Kan Sornbundit, Wannapong Triampo, Charin Modchang Mathematical modeling of diphtheria transmission in Thailand. Computers in Biology and Medicine. Vol.87, (2017), 162-168. doi:10.1016/j.compbiomed.2017.05.031 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42332
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Mathematical modeling of diphtheria transmission in Thailand
Author(s)
Abstract
© 2017 Elsevier Ltd 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.