Modelling the impact of improving access to healthcare on Hepatitis B prevalence in the Thai-Myanmar border region
Anh D. Pham, Robert Moss, Wirichada Pan-ngum, Rose McGready, Nicholas Geard

TL;DR
This study uses an agent-based model to evaluate how improving healthcare access for migrants and border communities in Thailand could significantly reduce Hepatitis B prevalence and help achieve elimination targets.
Contribution
It introduces a detailed agent-based model capturing migrant heterogeneity to assess intervention impacts on Hepatitis B in Thailand's border region.
Findings
Current interventions are effective for the Thai population but insufficient for migrants.
Improving healthcare access for migrants could significantly reduce Hepatitis B prevalence.
Quantified the level of healthcare improvement needed to reach elimination targets.
Abstract
Introduction: In Thailand, Hepatitis B is still endemic despite a strong program to eliminate the disease. A higher prevalence is reported in the border region and among migrants due to physical, financial and cultural barriers. Policies and programs targeting the border region and migrant communities have been suggested. Models can be used to understand and quantify the impact of these policies, given they can capture the heterogeneity within the population. Methods: In this study, we developed an Agent-based model that captures the differences between the Thai and migrant populations living in this region, notably the higher level of mobility, lower access to healthcare, and the higher prevalence of Hepatitis B among migrants, by modelling the origin of each individual explicitly. We used the model to estimate future trends of Hepatitis B prevalence in Thailand near the border with…
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Taxonomy
TopicsHepatitis Viruses Studies and Epidemiology · Migration, Health and Trauma · Hepatitis B Virus Studies
