Literature DB >> 3988430

The efficiency of measles and pertussis notification in England and Wales.

J A Clarkson, P E Fine.   

Abstract

This paper examines methods for estimating the efficiency of measles and pertussis notification with particular reference to England and Wales. Crude estimates are obtained from a comparison of annual numbers of births and notifications, and this approach is modified to include detailed age-specific data. Other sources of data, notably the Hospital In-Patient Enquiry, are used to give detailed estimates over time. These analyses provide evidence for a strong positive correlation between notification efficiency and incidence for both diseases and for a dramatic fall in the notification efficiency for pertussis between 1957 and 1976. This decrease is of particular interest insofar as it could explain in part the apparent fall in size of successive pertussis epidemics during that period. It is estimated that since 1976 the spotter practices of the Royal College of General Practitioners General Practice Research Unit have been approximately 1.5 times more efficient at reporting measles and 2.5 times more efficient at reporting pertussis than the national average for reporting to the Office of Population Censuses and Surveys. Finally it is noted that estimates of notification efficiency are positively correlated with the assumed level of vaccine efficacy, and that all these methods require assumptions concerning the proportion of vaccinations which are recorded, the proportion of vaccinations which are successful in immunizing the recipient, and the proportion of the population which ultimately contracts the infection. In general, measles notification in England and Wales is considerably better than that for pertussis, being of the order of 40-60% for the former and only 5-25% for the latter.

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Year:  1985        PMID: 3988430     DOI: 10.1093/ije/14.1.153

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  37 in total

1.  Modelling the long-term dynamics of pre-vaccination pertussis.

Authors:  Ganna Rozhnova; Ana Nunes
Journal:  J R Soc Interface       Date:  2012-06-20       Impact factor: 4.118

2.  Outcome measures in child health.

Authors:  S Logan
Journal:  Arch Dis Child       Date:  1991-06       Impact factor: 3.791

3.  Completeness of reporting of AIDS cases.

Authors:  B G Evans; O N Gill; J A Emslie
Journal:  BMJ       Date:  1991-06-08

4.  Prevalence of pertussis IgG antibodies in children in Palermo, Italy.

Authors:  T Stroffolini; A Giammanco; L De Crescenzo; F Lupo; V Nicosia; G Torres; A R Valenza; A Cascio; S Taormina; L Nisticò
Journal:  Infection       Date:  1989 Sep-Oct       Impact factor: 3.553

5.  A 5-year comparison of performance of sentinel and mandatory notification surveillance systems for measles in Switzerland.

Authors:  Jean-Luc Richard; Beatriz Vidondo; Mirjam Mäusezahl
Journal:  Eur J Epidemiol       Date:  2007-09-26       Impact factor: 8.082

6.  Noise, nonlinearity and seasonality: the epidemics of whooping cough revisited.

Authors:  Hanh T H Nguyen; Pejman Rohani
Journal:  J R Soc Interface       Date:  2008-04-06       Impact factor: 4.118

7.  Modelling under-reporting in epidemics.

Authors:  Kokouvi M Gamado; George Streftaris; Stan Zachary
Journal:  J Math Biol       Date:  2013-08-13       Impact factor: 2.259

Review 8.  Prevention of pertussis: An unresolved problem.

Authors:  Susanna Esposito; Nicola Principi
Journal:  Hum Vaccin Immunother       Date:  2018-07-24       Impact factor: 3.452

9.  Epidemiology of measles in Taiwan: dynamics of transmission and timeliness of reporting during an epidemic in 1988-9.

Authors:  M S Lee; C C King; C J Chen; S Y Yang; M S Ho
Journal:  Epidemiol Infect       Date:  1995-04       Impact factor: 2.451

10.  Reporting efficiency during a measles outbreak in New York City, 1991.

Authors:  S F Davis; P M Strebel; W L Atkinson; L E Markowitz; R W Sutter; K S Scanlon; S Friedman; S C Hadler
Journal:  Am J Public Health       Date:  1993-07       Impact factor: 9.308

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