Statistical Methods have been widely used in understanding factors for clinical and public
health data. Statistical hypotheses are procedures for testing pre-stated hypotheses. The …

BACKGROUND AND AIM: The Division of Environmental Health Science and Practice is
leading the environmental public health work at the Centers for Disease Control and …

Jiming Liu Shang Xia From Disease Transmission Modeling to Vaccination Decision Making
Page 1 Health Information Science Jiming Liu Shang Xia Computational Epidemiology From …

Applying data science advances in disease surveillance and control Dr. David S. Ebert and
Dr. Aaron Wendelboe explain how a cohesive, multidisciplinary, and multi-tiered approach …

The financial incentives for data science applications leading to improved health outcomes,
such as DSRIP (bit. ly/dsrip), are well-aligned with the broad adoption of Open Data by State …

Background Demographic and socioeconomic changes such as increasing urbanization,
migration, and female education shape population health in many low-and middle-income …

Unlike most daily decisions, medical decision making often has substantial consequences
and trade-offs. Recently, big data analytics techniques such as statistical analysis, data …

Entities involved in population health often share a common mission while acting
independently of one another and perhaps redundantly. Population health is in everybody's …

To help health economic modelers respond to demands for greater use of complex systems
models in public health. To propose identifiable features of such models and support …

Background: Requiring access to sensitive data can be a significant obstacle for the
development of health models in the Health Economics & Outcomes Research (HEOR) …