Literature DB >> 11034981

Effectiveness of incidence thresholds for detection and control of meningococcal meningitis epidemics in northern Togo.

A V Kaninda1, F Belanger, R Lewis, E Batchassi, A Aplogan, Y Yakoua, C Paquet.   

Abstract

BACKGROUND: Early outbreak detection is necessary for control of meningococcal meningitis epidemics. A weekly incidence of 15 cases per 100 000 inhabitants averaged over 2 consecutive weeks is recommended by the World Health Organization (WHO) for detection of meningitis epidemics in Africa. This and other thresholds are tested for ability to predict outbreaks and timeliness for control measures.
METHODS: Meningitis cases recorded for 1990-1997 in health centres of northern Togo were reviewed. Weekly and annual incidences were determined for each district. Ability of different weekly incidence thresholds to detect outbreaks was assessed according to sensitivity, specificity, and positive and negative predictive values. The number of cases potentially prevented by reactive vaccination in 1997 was calculated for each threshold.
RESULTS: Outbreaks occurred in 1995-1996 and in 1996-1997. The WHO-recommended threshold had good specificity but low sensitivity. Thresholds of 10 and 7 cases per 100,000 inhabitants in one week had sensitivity and specificity of 100% and increased the time available for intervention by more than one or two weeks, respectively. A maximum of 65% of cases could have been prevented during the 1997 epidemic, with up to 8% fewer cases prevented for each week of delay in achieving vaccine coverage.
CONCLUSIONS: In northern Togo, thresholds of 7 or 10 cases per 100,000 inhabitants per week were excellent predictors of meningitis epidemics and allowed more time for a reactive vaccination strategy than current recommendations.

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Year:  2000        PMID: 11034981     DOI: 10.1093/ije/29.5.933

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


  6 in total

1.  A Bayesian network approach to the study of historical epidemiological databases: modelling meningitis outbreaks in the Niger.

Authors:  A Beresniak; E Bertherat; W Perea; G Soga; R Souley; D Dupont; S Hugonnet
Journal:  Bull World Health Organ       Date:  2012-01-20       Impact factor: 9.408

2.  Modeling the cost-effectiveness of the integrated disease surveillance and response (IDSR) system: meningitis in Burkina Faso.

Authors:  Zana C Somda; Helen N Perry; Nancy R Messonnier; Mamadou H Djingarey; Salimata Ouedraogo Ki; Martin I Meltzer
Journal:  PLoS One       Date:  2010-09-28       Impact factor: 3.240

3.  Defining and detecting malaria epidemics in the highlands of western Kenya.

Authors:  Simon I Hay; Milka Simba; Millie Busolo; Abdisalan M Noor; Helen L Guyatt; Sam A Ochola; Robert W Snow
Journal:  Emerg Infect Dis       Date:  2002-06       Impact factor: 6.883

4.  Analysis of a meningococcal meningitis outbreak in Niger - potential effectiveness of reactive prophylaxis.

Authors:  Matt D T Hitchings; Matthew E Coldiron; Rebecca F Grais; Marc Lipsitch
Journal:  PLoS Negl Trop Dis       Date:  2019-03-11

Review 5.  Comparative study of meningitis dynamics across nine African countries: a global perspective.

Authors:  Hélène Broutin; Solenne Philippon; Guillaume Constantin de Magny; Marie-Françoise Courel; Benjamin Sultan; Jean-François Guégan
Journal:  Int J Health Geogr       Date:  2007-07-10       Impact factor: 3.918

6.  Spatiotemporal Analysis of Serogroup C Meningococcal Meningitis Spread in Niger and Nigeria and Implications for Epidemic Response.

Authors:  Laura V Cooper; Olivier Ronveaux; Katya Fernandez; Clement Lingani; Kadade Goumbi; Chikwe Ihekweazu; Marie-Pierre Preziosi; Antoine Durupt; Caroline L Trotter
Journal:  J Infect Dis       Date:  2019-10-31       Impact factor: 5.226

  6 in total

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