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Guidelines

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Large epidemics during the dry season. The Meningitis Belt, a combination of risk factors: ... Cases start increasing at beginning of the dry season (January) ... – PowerPoint PPT presentation

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Title: Guidelines


1
Meningococcal Meningitis in Africa The MERIT
initiative
Eric Bertherat
2
Current WHO Strategy in the 'Meningitis Belt' in
Africa
3
The Meningitis Belt a region presenting
distinct epidemiological features
  • Hyper incidence
  • 10-150 per 100,000 in non-epidemic yrs
  • 250-1000 per 100,000 in epidemic yrs
  • (Europe-USA 1-3 per 100,000)
  • Seasonal increase
  • Large epidemics during the dry season

4
The Meningitis Belt, a combination of risk
factors climatic, socio-demographic, immunologic
5
Epidemiological curveWeekly number of suspected
meningitis cases in Burkina Faso, Mali, Niger
(1996 to 2008)
6
The situation today in 2009 Currently
experiencing meningitis outbreaks Nigeria,
Niger, Chad Cumulative number of cases in Nigeria
so far in 2009 40,000
7
Causes of meningitis epidemics still poorly
understood..
  • Introduction of new epidemic strains
  • 1996-1997 epidemic associated to spread of Nm A
    of the ST-5 complex
  • Accumulation of susceptible cohorts
  • Environmental factors
  • Low absolute humidity
  • Land cover
  • Atmospheric dust
  • .and millions of doses of vaccine injected

8
However there does appear to be a relation
between seasonal climatic factors to meningitis
epidemics
  • Cases start increasing at beginning of the dry
    season (January)
  • Sharp decrease with the beginning of rains,
    May-June

Grenwood et al, Trans Roy Trop Med 1987
9
Public health perspectiveMeningitis outbreak
control strategy
  • Current outbreak control strategy is based on
    reactive vaccination campaigns
  • Because of limited vaccine supplies
  • Not efficient to implement preventive campaign
    because of characteristics of the current vaccine
  • Relies on efficient surveillance and timely
    reporting and intervention which is not always
    possible
  • Vaccination campaigns are consequently
    implemented relatively late
  • Challenge can we use environmental/climatic data
    to forecast outbreaks to move towards a more
    preventive strategy and improve effectiveness of
    immunisation campaigns?

10
From a public health view
  • Knowledge of the natural history of the disease
  • What can we expect from the research community
    (environment, socio-demography, mathematical
    analysis..) ?
  • How much this added knowledge can improve the
    control strategy (reactive response / preventive
    vaccination) ?

11
The MERIT Initiative Meningitis Environmental
Risk Information Technologies
12
MERIT ProjectMeningitis Environmental Risk
Information Technologies
  • Collaborative group formed in 2007 to help
    facilitate collaboration between the public
    health, epidemiological and environmental
    communities
  • Aims
  • To improve the application of climate and
    environmental information to help reduce the
    burden of meningococcal meningitis epidemics in
    Africa
  • To enhance national and regional surveillance
    capabilities
  • To strengthen decision making and public health
    policy development (capacity building included)

13
MERIT partners include..
  • World Health Organization
  • World Meteorological Organization
  • Group on Earth Observations
  • Health and Climate Foundation
  • International Federation of the Red Cross and Red
    Crescent Societies
  • Columbia University - International Research
    Institute for Climate and Society, Mailman School
    of Public Health, CIESIN
  • Lancaster University
  • Liverpool School of Tropical Medicine
  • Barcelona SuperComputing Centre
  • Climate and Health Working Group, Ethiopia
  • CERMES - Centre de Recherche Médicale et
    Sanitaire, Niger
  • ACMAD African Centre of Meteorological
    Application for Development
  • Navrongo Health Research Centre, Ghana
  • UCAR
  • Meningitis Vaccine Project

First meeting Geneva, October 2008 Second
meeting Addis Abeba, December 2009
14
MERIT ProjectUnderstanding the environmental
risk factors
Mailman School of Public Health, Columbia
University CERMES
15
MERIT ProjectUnderstanding the environmental
risk factors
International Research Institute for Climate and
Society (IRI), Columbia University
16
MERIT ProjectUnderstanding the environmental
risk factors
International Research Institute for Climate and
Society (IRI), Columbia University
17
MERIT ProjectUnderstanding the environmental
risk factors
International Research Institute for Climate and
Society (IRI), Columbia University
18
MERIT ProjectUnderstanding the environmental
risk factors
WMO Sand and Dust Storm Warning Advisory and
Assessment System, Barcelona SuperComputing Centre
19
MERIT ProjectUnderstanding the environmental
risk factors
Spatial and Temporal Analyses of Meningococcal
Meningitis in Niger Cluster and Wavelet
Analyses WHO, Fogarty International Centre NIH
20
MERIT ProjectStrengthening prevention and
response strategies
21
Ethiopian MERIT initiative
  • Led by the Climate and Health Working Group in
    Ethiopia
  • Partnership to facilitate the use of
    environmental information for public health
    decision making
  • Partners include Federal Ministry of Health,
    National Meteorology Agency, Anti Malaria
    Association, UNEP, UNICEF, WHO, Ethiopian Public
    Health Association, Center for National Health
    Development in Ethiopia, Ethiopian Health and
    Nutrition Research Institute, School of Public
    Health, Christian Relief and Development
    Association
  • MERIT-Ethiopia has four key areas of focus
  • Socio-economic impact of the disease including
    disease burden, mortality and mortality
  • Determinants and risk factors of meningitis
    epidemic outbreaks
  • Education and Training
  • Surveillance of the disease

22
Niger MERIT initiative
  • Aim to develop an operational decision-support
    tool to support a preventive vaccination
    strategy, based on
  • Expert opinion
  • Risk assessment, bringing together environmental,
    socio-economic, epidemiological and biological
    factors
  • Empirical modelling
  • 4 modelling studies were reported at the
    international MERIT meeting in December 2008
  • Different methodologies implemented for different
    goals and timelines

23
Where is MERIT now
  • MERIT community established and collaborative
    partnerships producing effective outcomes
  • Process elaborated for modelling studies based on
  • Expert opinion
  • Risk assessment
  • Empirical modelling
  • With different methodologies for different goals
    and timelines
  • Aim is to develop decision-support tools for
    testing in country, while developing in-country
    capacity to integrate environmental information
    with the meningitis outbreak control strategies
  • MERIT projects in Ethiopia and Niger, with
    further projects under development in West Africa
  • Next international MERIT meeting, Niger 2009
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