Automated influenza-like illness reporting-an efficient adjunct to traditional sentinel surveillance

Public Health Reports

Volumn 129, Issue 1, 2014, Pages 55-63

  Yih, W Katherine ^a   Cocoros, Noelle M ^b   Crockett, Molly ^b   Klompas, Michael ^a   Kruskal, Benjamin A ^c,d,e   Kulldorff, Martin ^a   Lazarus, Ross ^a   Madoff, Lawrence C ^b,f   Morrison, Monica J ^b   Smole, Sandra ^b   Platt, Richard ^a  

^a HARVARD PILGRIM HEALTH CARE INSTITUTE   (United States)

^b MASSACHUSETTS DEPARTMENT OF PUBLIC HEALTH   (United States)

^c HARVARD VANGUARD MEDICAL ASSOCIATES   (United States)

^d Atrius Health   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

^f UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; CHILD; COMPARATIVE STUDY; CORRELATION COEFFICIENT; ELECTRONIC MEDICAL RECORD; FLU LIKE SYNDROME; HEALTH SURVEY; HUMAN; MAJOR CLINICAL STUDY; MEDICAL INFORMATICS; MIDDLE AGED; PRESCHOOL CHILD; PRIORITY JOURNAL; QUALITY CONTROL; SCHOOL CHILD; SENTINEL SURVEILLANCE; YOUNG ADULT;

EID: 84891843195     PISSN: 00333549     EISSN: 14682877     Source Type: Journal    
DOI: 10.1177/003335491412900109     Document Type: Article

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