Literature DB >> 18424469

Surveillance for rare infectious diseases: is one passive data source enough for Haemophilus influenzae?

Astrid Milde-Busch1, Helen Kalies, Simon Rückinger, Anette Siedler, Joachim Rosenbauer, Rüdiger von Kries.   

Abstract

BACKGROUND: The completeness of a compulsory reporting system of systemic Haemophilus influenzae infections in children in Germany is studied by means of cross-linking registry data from three sources and applying capture-recapture methods.
METHODS: Cases were collected for the years 2001-05 by three national data sources: a passive administration registry (SurvNet@RKI), an active hospital surveillance system and an active laboratory surveillance system. The case definition required cultural detection of H. influenzae in blood or cerebrospinal fluid. Linkage was carried out by month and year of birth, sex, geographical region and date of disease onset. Capture-recapture models were used to estimate the incidence of invasive H. influenzae infections.
RESULTS: SurvNet@RKI reported 113 H. influenzae and 38 H. influenzae type b (Hib) cases, compared to a total of 231 and 68 cases, respectively, reported by all three sources combined. Best-fitting 3-source capture-recapture estimations amounts to 258 (95% confidence interval: 247-276) H. influenzae and 71 (69-74) Hib cases. SurvNet@RKI data depicted a similar decrease in annual H. influenzae cases as the capture-recapture estimates but failed to detect the underlying decrease in Hib cases which was observed in the capture-recapture estimates due to a considerable annual variability of ascertainment of serotyped cases in SurvNet@RKI ranging from 14% to 69%.
CONCLUSIONS: Because of small variability of ascertainment, the compulsory passive reporting system depicted trends in H. influenzae incidence, although less than half of the cases were ascertained. However, time trend in Hib cases could not be depicted, because of highly variable serotyping proportions.

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Year:  2008        PMID: 18424469     DOI: 10.1093/eurpub/ckn023

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  6 in total

1.  Invasive Haemophilus influenzae Disease, Europe, 1996-2006.

Authors:  Shamez Ladhani; Mary P E Slack; Paul T Heath; Anne von Gottberg; Manosree Chandra; Mary E Ramsay
Journal:  Emerg Infect Dis       Date:  2010-03       Impact factor: 6.883

2.  Estimating the likely true changes in rheumatic fever incidence using two data sources.

Authors:  J Oliver; N Pierse; D A Williamson; M G Baker
Journal:  Epidemiol Infect       Date:  2017-12-06       Impact factor: 4.434

3.  Epidemiology of Invasive Haemophilus influenzae Disease, Europe, 2007-2014.

Authors:  Robert Whittaker; Assimoula Economopoulou; Joana Gomes Dias; Elizabeth Bancroft; Miriam Ramliden; Lucia Pastore Celentano
Journal:  Emerg Infect Dis       Date:  2017-03       Impact factor: 6.883

4.  Estimating rheumatic fever incidence in New Zealand using multiple data sources.

Authors:  J Oliver; N Pierse; M G Baker
Journal:  Epidemiol Infect       Date:  2014-03-06       Impact factor: 4.434

5.  Invasive Haemophilus influenzae infections in Germany: impact of non-type b serotypes in the post-vaccine era.

Authors:  Helen Kalies; Anette Siedler; Britta Gröndahl; Veit Grote; Astrid Milde-Busch; Rüdiger von Kries
Journal:  BMC Infect Dis       Date:  2009-04-20       Impact factor: 3.090

6.  Sensitivity of the Dengue Surveillance System in Brazil for Detecting Hospitalized Cases.

Authors:  Giovanini Evelim Coelho; Priscila Leite Leal; Matheus de Paula Cerroni; Ana Cristina Rocha Simplicio; João Bosco Siqueira
Journal:  PLoS Negl Trop Dis       Date:  2016-05-18
  6 in total

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