Using Big Healthcare Data to Supplement Chikungunya Surveillance in the U.S.
Author(s) -
Joel Greenspan,
Silvia Valkova
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5744
Subject(s) - chikungunya , reimbursement , health care , medicine , big data , disease surveillance , chikungunya fever , family medicine , medical emergency , data science , disease , computer science , virology , data mining , dengue fever , pathology , political science , law
Chikungunya is not a U.S. nationally notifiable disease and tracking travel-associated and locally acquired cases is currently dependent on voluntary reporting via ArboNET. Electronic healthcare reimbursement claims covering a large proportion of visits to providers' offices may help overcome some of the limitations of ArboNET in documenting timing, occurrence, and spread of Chikungunya in the U.S.
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