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Effective Collaboration Models for Statisticians and Public Health Departments

Authors :
Yulia R. Gel
Ian Painter
Howard Burkom
Steven E. Rigdon
Elena N. Naumova
Source :
Online Journal of Public Health Informatics
Publication Year :
2015
Publisher :
University of Illinois at Chicago Library, 2015.

Abstract

The session will explore past collaborations between the statistician panelists and public health departments to highlight approaches that have and have not been effective and to recommend effective, sustainable relationship strategies for mutual advancement of practical disease surveillance and relevant academic research. Panelists will describe experiences working with health departments, including actual applications as examples. Issues discussed will include requirements analysis, scoping technical problems for health department utility, adaptation of traditional statistical methods, and management of changing data environments. Panelists will derive advice for public health practitioners seeking help in forming relationships, framing problems, communicating results, and seeking funding.

Details

Language :
English
ISSN :
19472579
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Online Journal of Public Health Informatics
Accession number :
edsair.doi.dedup.....edf87ba738a281db26af7e73ddc9f22e