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ASPPH Presents Webinar: A Vision for the Acceleration of Global Health Data for Science and Policy
October 16, 2014 @ 3:30 pm – 4:30 pm
ASPPH invites members to participate in the first 2014-2015 ASPPH Presents webinar, A Vision for the Acceleration of Global Health Data for Science and Policy. This webinar is sponsored by the ASPPH Global Health Committee.
Wilbert van Panhuis, MD, PhD, Assistant Professor of Epidemiology at the University of Pittsburgh Graduate School of Public Health will discuss how to use routinely collected public health data to inform public health science and policy, and will present one model for such data sharing and use.
Schools and programs of public health should be at the forefront of this initiative to transform global health data into actionable information for the improvement of population health.
Public health decision making has become increasingly complex and the use of data has become essential. At the local level data are used to monitor population health and to target interventions; at the national level data for resource allocation, prioritization, and planning; and at the global level for estimates on the global burden of disease, to measure progress in health and development, and to contain emerging global health threats. In addition to their primary use by global health agencies, routinely collected public health data have become valuable for secondary use such as academic research and technology development. Recently, global health and funding agencies have made appeals for greater availability and access to granular public health data and have developed principles for data sharing in global health. Despite the increased recognition of the value of data availability and use for global health, many real-world challenges remain, ranging from technical barriers to political, motivational, legal, and ethical concerns about making data available. Schools and programs of public health around the world have the opportunity to work with health agencies to advance the value and use of global health data.