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Addressing Health Equity Through Data Collection and Linked Disease Surveillance

Year: 2016

Type: article

Abstract: Addressing health equity through data collection and linked disease surveillance makes the most of the opportunity to utilize collected data for the four biggest contributors to morbidity and mortality in the US and worldwide. Cancer, heart disease, diabetes and kidney disease share many risk factors. Understanding risk factors and their interactions with comorbidities are important and clinical practice indicates that chronic diseases can be addressed more effectively in a holistic approach. Using this approach for chronic disease surveillance gives the opportunity to explore possible connections between chronic diseases that may lead to better understanding of some of the interactions.

Source: Online Journal of Public Health Informatics

DOI: 10.5210/ojphi.v8i1.6458

Authors: Iris Zachary, Jeannette Jackson-Thompson, Emily Leary, Eduardo Simoes

Institution: University of Missouri

Language: English

Topic: Chronic Disease Management Strategies

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: gold

Estimated APC paid: $350