Mission of GHPi

The Global Health Policy and Data Institute (GHPi) is dedicated to the interdisciplinary study of important national, regional and global public health issues. The Institute focuses on core areas of research, data science, capacity building, and policy advocacy by strategically partnering with other institutions, educational programs and individuals. The goal of GHPi is to address important and underserved issues in global and domestic health, engage a broad array of stakeholders in problem solving and consensus building, and lead in the development of data-driven and evidence-based policymaking through research, instruction, and advocacy.

Interdisciplinary

We believe that the only way to effectively tackle complex global health problems is through an interdisciplinary lens that embraces multiple areas of study, different stakeholders, and utilizes new and innovative cross-cutting methodologies

Research

Research and the evidence it generates should be at the core of global policymaking. To this aim, GHPi is dedicated to addressing underserved and important topics through innovative research, application of data science, and policy, law and governance inquiry

Education

To ensure evidence-based policymaking and advocacy, more global health practitioners with training in global health policy are necessary. GHPi fills this need by offering a variety of training and education options in the field

Announcements & Social

See below updates on our most recent publications, follow our Twitter feed on global health developments, and visit our Facebook for more updates on GHPi

Upcoming and Recent Publications

Mackey TK, Miyachi K, Fung D, Qian S, Short J. Combating Healthcare Fraud and Abuse: A Technology Framework and Prototype Leveraging Blockchain Technology. J Med Internet Res. 2020; in press.

Cai M, Shah N, Li J, Chen WH, Cuomo RE, Obradovich N, Mackey TK. Identification and Characterization of Tweets related to the 2015 Indiana HIV Outbreak: A Retrospective Infoveillance Study. PLoS One. 2020; in press.

Xu Q, Cai M, Mackey TK. The Illegal Wildlife Digital Market: An Analysis of Chinese Wildlife Marketing and Sale on Facebook. Environ Cons. 2020; in press,
available online first

Mackey TK, Purushothaman V, Li J, Shah N, Nali M, Bardier C, Liang BA, Cai M, Cuomo RE. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access and Recovery Associated with COVID-19 on Twitter. JMIR Public Health Surveill. 2020;6(2):e19509,
available here




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