Prospective analysis of infectious disease surveillance data using syndromic information

Statistical Methods in Medical Research

Volumn 23, Issue 6, 2014, Pages 572-590

  Corberán Vallet, Ana ^a   Lawson, Andrew B ^b  

^a UNIVERSITY OF VALENCIA   (Spain)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Bayesian hierarchical space time model; epidemic prediction; Infectious disease; prospective analysis; syndromic information; targeted surveillance

Indexed keywords

ACCURACY; ARTICLE; BRONCHITIS; DATA PROCESSING; DISEASE SURVEILLANCE; EMERGENCY WARD; EPIDEMIC; INFECTION; METHODOLOGY; POISSON DISTRIBUTION; PREDICTION; PROSPECTIVE STUDY; STATISTICAL MODEL; SYNDROMIC INFORMATION; UNITED STATES; BAYES THEOREM; COMMUNICABLE DISEASES; HEALTH SURVEY; HUMAN; THEORETICAL MODEL;

BAYES THEOREM; BRONCHITIS; COMMUNICABLE DISEASES; HUMANS; MODELS, THEORETICAL; POPULATION SURVEILLANCE; PROSPECTIVE STUDIES; SOUTH CAROLINA;

EID: 84910683584     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214527385     Document Type: Article

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