title: Predicting the future trend of drug-resistant tuberculosis in Thailand: assessing the impact of control strategies.
abstract: The purposes of this study are to predict the future trend of drug-sensitive and resistant tuberculosis (TB) in Thailand, and to assess the impact of different control strategies on the generation of drug resistant TB, through the use of mathematical analysis. We assume that the present status of TB and the emergence of drug-resistant TB in Thailand are the consequence of past epidemics. Control strategies in the model are defined by specifying the value of the effective treatment rate (baseline value = 0.74) and the relative treatment efficacy (baseline value = 0.84). It is predicted that the total number of new TB cases would continue to decrease at the current level of intervention. Although a dramatic decline in the incidence rate of drug-sensitive cases is expected, drug-resistant cases are predicted to increase gradually, so that more than half of the TB strains would not be drug-sensitive after 2020. The prediction is not greatly altered by improving the interventions. They could, however, delay the emergence of drug-resistant strains for a few years. Our study demonstrates it would be impossible to avoid the continued emergence of drug-resistant TB in the future. It is pointed out that there are urgent needs to ensure adequate supervision and monitoring, to insure treatment of 100% of the targeted population with Directly Observed Therapy.
authors.affiliation: Department of Mathematics, Faculty of Science, Mahidol University, Bangkok, Thailand. Nishiurah@aol.com
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Nishiura
authors.forename: Kot
authors.initials: K
authors.lastname: Patanarapelert
authors.forename: I Ming
authors.initials: IM
authors.lastname: Tang
mesh_terms: D000904:Antibiotics, Antitubercular / Q000494:pharmacology / Q000627:therapeutic use; D018890:Chemoprevention; D003140:Communicable Disease Control; D023801:Directly Observed Therapy; D024901:Drug Resistance, Multiple, Bacterial; D005544:Forecasting; D006801:Humans; D015994:Incidence; D008962:Models, Theoretical; D009169:Mycobacterium tuberculosis / Q000187:drug effects*; D012293:Rifampin / Q000494:pharmacology / Q000627:therapeutic use; D013785:Thailand / Q000453:epidemiology; D018088:Tuberculosis, Multidrug-Resistant / Q000188:drug therapy / Q000453:epidemiology* / Q000517:prevention & control
chemical_list: D000904:Antibiotics, Antitubercular; D012293:Rifampin