Early diagnosis model for meningitis supports public health decision making

Journal of Infection

Volumn 63, Issue 1, 2011, Pages 32-38

  Close, Rebecca M ^a   Ejidokun, Oluwatoyin O ^b   Verlander, Neville Q ^a   Fraser, Graham ^a   Meltzer, Margie ^a   Rehman, Yasmin ^a   Muir, Peter ^a   Ninis, Nelly ^c   Stuart, James M ^d  

^a PUBLIC HEALTH ENGLAND   (United Kingdom)

^b Somerset and Wiltshire Cancer Services   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Meningitis; Meningococcal infection; Predictive model

Indexed keywords

C REACTIVE PROTEIN;

ADOLESCENT; ARTICLE; BACTERIAL MENINGITIS; CELL COUNT; CHILD; CLINICAL FEATURE; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; EARLY DIAGNOSIS; ENTEROVIRUS; EPIDEMIOLOGICAL DATA; FEMALE; HAEMOPHILUS INFLUENZAE; HEMORRHAGIC RASH; HERPES SIMPLEX VIRUS; HOSPITAL ADMISSION; HUMAN; INFANT; LABORATORY TEST; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; MENINGOCOCCEMIA; NEISSERIA MENINGITIDIS; POLYMORPHONUCLEAR CELL; PREDICTION; PRESCHOOL CHILD; PROBABILITY; PROSPECTIVE STUDY; PUBLIC HEALTH SERVICE; RASH; SCHOOL CHILD; SCORING SYSTEM; STREPTOCOCCUS PNEUMONIAE; UNITED KINGDOM; VARICELLA ZOSTER VIRUS; VIRUS MENINGITIS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; C-REACTIVE PROTEIN; CHEMOPREVENTION; CHILD; CHILD, PRESCHOOL; DECISION MAKING; DIAGNOSIS, DIFFERENTIAL; EARLY DIAGNOSIS; ENGLAND; FEMALE; HUMANS; INFANT; INFANT, NEWBORN; LOGISTIC MODELS; MALE; MENINGITIS; MENINGOCOCCAL INFECTIONS; MIDDLE AGED; NEISSERIA MENINGITIDIS; PROSPECTIVE STUDIES; PUBLIC HEALTH PRACTICE; SENTINEL SURVEILLANCE; SEPSIS; YOUNG ADULT;

EID: 79959585450     PISSN: 01634453     EISSN: 15322742     Source Type: Journal    
DOI: 10.1016/j.jinf.2011.03.013     Document Type: Article

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