Literature DB >> 15779802

How complete and accurate is meningococcal disease notification?

E Breen1, S Ghebrehewet, M Regan, A P J Thomson.   

Abstract

Effective public health control of meningococcal disease (meningococcal meningitis and septicaemia) is dependent on complete, accurate and speedy notification. Using capture-recapture techniques this study assesses the completeness, accuracy and timeliness of meningococcal notification in a health authority. The completeness of meningococcal disease notification was 94.8% (95% confidence interval 93.2% to 96.2%); 91.2% of cases in 2001 were notified within 24 hours of diagnosis, but 28.0% of notifications in 2001 were false positives. Clinical staff need to be aware of the public health implications of a notification of meningococcal disease, and of failure of, or delay in notification. Incomplete or delayed notification not only leads to inaccurate data collection but also means that important public health measures may not be taken. A clinical diagnosis of meningococcal disease should be carefully considered between the clinician and the consultant in communicable disease control (CCDC). Otherwise, prophylaxis may be given unnecessarily, disease incidence inflated, and the benefits of control measures underestimated. Consultants in communicable disease control (CCDCs), in conjunction with clinical staff, should de-notify meningococcal disease if the diagnosis changes.

Entities:  

Mesh:

Year:  2004        PMID: 15779802

Source DB:  PubMed          Journal:  Commun Dis Public Health        ISSN: 1462-1843


  4 in total

1.  Capture-recapture analysis to estimate the incidence of invasive meningococcal disease in Germany, 2003.

Authors:  A Schrauder; H Claus; J Elias; U Vogel; W Haas; W Hellenbrand
Journal:  Epidemiol Infect       Date:  2006-08-29       Impact factor: 2.451

2.  Record-linkage and capture-recapture analysis to estimate the incidence and completeness of reporting of tuberculosis in England 1999-2002.

Authors:  N A H VAN Hest; A Story; A D Grant; D Antoine; J P Crofts; J M Watson
Journal:  Epidemiol Infect       Date:  2008-03-17       Impact factor: 2.451

3.  A dynamic estimation of the daily cumulative cases during infectious disease surveillance: application to dengue fever.

Authors:  Pei-Hung Chuang; Jen-Hsiang Chuang; I-Feng Lin
Journal:  BMC Infect Dis       Date:  2010-05-27       Impact factor: 3.090

4.  Using linked birth, notification, hospital and mortality data to examine false-positive meningococcal disease reporting and adjust disease incidence estimates for children in New South Wales, Australia.

Authors:  A Gibson; L Jorm; P McIntyre
Journal:  Epidemiol Infect       Date:  2015-01-09       Impact factor: 4.434

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.