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Surveillance for Emerging Diseases with Multiplexed Point-of-Care Diagnostics
Author(s) -
Alina Deshpande,
Benjamin H. McMahon,
Ashlynn R. Daughton,
Esteban Abeyta,
Kevin Anderson,
David R. Hodge,
Segaran P. Pillai
Publication year - 2016
Publication title -
health security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.705
H-Index - 37
eISSN - 2326-5108
pISSN - 2326-5094
DOI - 10.1089/hs.2016.0005
Subject(s) - point of care , medicine , computer science , data science , medical emergency , intensive care medicine , pathology
We present an analysis of the diagnostic technologies that were used to identify historical outbreaks of Ebola virus disease and consider systematic surveillance strategies that may greatly reduce the peak size of future epidemics. We observe that clinical signs and symptoms alone are often insufficient to recognize index cases of diseases of global concern against the considerable background infectious disease burden that is present throughout the developing world. We propose a simple sampling strategy to enrich in especially dangerous pathogens with a low background for molecular diagnostics by targeting blood-borne pathogens in the healthiest age groups. With existing multiplexed diagnostic technologies, such a system could be combined with existing public health screening and reference laboratory systems for malaria, dengue, and common bacteremia or be used to develop such an infrastructure in less-developed locations. Because the needs for valid samples and accurate recording of patient attributes are aligned with needs for global biosurveillance, local public health needs, and improving patient care, co-development of these capabilities appears to be quite natural, flexible, and extensible as capabilities, technologies, and needs evolve over time. Moreover, implementation of multiplexed diagnostic technologies to enhance fundamental clinical lab capacity will increase public health monitoring and biosurveillance as a natural extension.

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