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Changhong Yang

The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures
Prenatal and early-life exposure to the Great Chinese Famine increased the risk of tuberculosis in adulthood across two generations
Towards a simulation framework for optimizing infectious disease surveillance: An information theoretic approach for surveillance system design
Evidence for heterogeneity in China’s progress against pulmonary tuberculosis: uneven reductions in a major center of ongoing transmission, 2005–2017

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