Title |
Tuberculosis control in China: use of modelling to develop targets and policies
|
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Published in |
Bulletin of the World Health Organization, September 2015
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DOI | 10.2471/blt.15.154492 |
Pubmed ID | |
Authors |
Hsien-Ho Lin, Lixia Wang, Hui Zhang, Yunzhou Ruan, Daniel P Chin, Christopher Dye |
Abstract |
It is unclear if current programmes in China can achieve the post-2015 global targets for tuberculosis - 50% reduction in incidence and a 75% reduction in mortality by 2025. Chinese policy-makers need to maintain the recent decline in the prevalence of tuberculosis, while revising control policies to cope with an epidemic of drug-resistant tuberculosis and the effects of ongoing health reform. Health reforms are expected to shift patients from tuberculosis dispensaries to designated hospitals. We developed a mathematical model of tuberculosis control in China to help set appropriate targets and prioritize interventions that might be implemented in the next 10 years. This model indicates that, even under the most optimistic scenario - improved treatment in tuberculosis dispensaries, introduction of a new effective regimen for the treatment of drug-susceptible tuberculosis and optimal care of cases of multidrug-resistant tuberculosis - the current global targets for tuberculosis are unlikely to be reached. However, reductions in the incidence of multidrug-resistant tuberculosis should be feasible. We conclude that a shift of patients from tuberculosis dispensaries to designated hospitals is likely to hamper efforts at tuberculosis control if cure rates in the designated hospitals cannot be maintained at a high level. Our results can inform the planning of tuberculosis control in China. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Cambodia | 1 | 1% |
United States | 1 | 1% |
Unknown | 69 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 23% |
Researcher | 11 | 15% |
Student > Bachelor | 9 | 13% |
Other | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Other | 9 | 13% |
Unknown | 17 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 27% |
Nursing and Health Professions | 9 | 13% |
Social Sciences | 8 | 11% |
Agricultural and Biological Sciences | 2 | 3% |
Veterinary Science and Veterinary Medicine | 2 | 3% |
Other | 11 | 15% |
Unknown | 20 | 28% |