Risk mapping and early warning systems for the control of meningitis in Africa

Luis Cuevas; Isabelle Jeanne; Anna Molesworth; Michael Bell; Emily C. Savory; Stephen J. Connor; Madeleine C. Thomson

doi:10.1016/j.vaccine.2007.04.034

Risk mapping and early warning systems for the control of meningitis in Africa

Luis Cuevas
, Isabelle Jeanne
, Anna Molesworth
, Michael Bell
, Emily C. Savory
, Stephen J. Connor
, Madeleine C. Thomson

Centre de Recherche Medicale et Sanitaire Niamey
UK Health Security Agency
Columbia University
Liverpool School of Tropical Medicine

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

Abstract

Epidemics of meningococcal meningitis in Africa have plagued the continent for over a century. These epidemics have a strong association with the environment and efforts are being made to develop models to predict both their location and their incidence. This review describes the predictive models based on climate/environmental information currently available, describes work in progress, and presents evidence that the distribution of the epidemics is changing in a pattern that is compatible with changes in the environment. Discussion of priorities for research in the context of the new conjugate vaccines in Africa is also provided. (C) 2007 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	A12-A17
Journal	Vaccine
Volume	25
Issue number	SUPPL. 1
DOIs	https://doi.org/10.1016/j.vaccine.2007.04.034
Publication status	Published - 3 Sept 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Africa
Climate
Environment
Epidemics
Geographic information system (GIS)
Meningococcal meningitis
Remote sensing
Risk map

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10.1016/j.vaccine.2007.04.034

Cite this

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title = "Risk mapping and early warning systems for the control of meningitis in Africa",

abstract = "Epidemics of meningococcal meningitis in Africa have plagued the continent for over a century. These epidemics have a strong association with the environment and efforts are being made to develop models to predict both their location and their incidence. This review describes the predictive models based on climate/environmental information currently available, describes work in progress, and presents evidence that the distribution of the epidemics is changing in a pattern that is compatible with changes in the environment. Discussion of priorities for research in the context of the new conjugate vaccines in Africa is also provided. (C) 2007 Elsevier Ltd. All rights reserved.",

keywords = "Africa, Climate, Environment, Epidemics, Geographic information system (GIS), Meningococcal meningitis, Remote sensing, Risk map",

author = "Luis Cuevas and Isabelle Jeanne and Anna Molesworth and Michael Bell and Savory, \{Emily C.\} and Connor, \{Stephen J.\} and Thomson, \{Madeleine C.\}",

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doi = "10.1016/j.vaccine.2007.04.034",

language = "English",

volume = "25",

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journal = "Vaccine",

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TY - JOUR

T1 - Risk mapping and early warning systems for the control of meningitis in Africa

AU - Cuevas, Luis

AU - Jeanne, Isabelle

AU - Molesworth, Anna

AU - Bell, Michael

AU - Savory, Emily C.

AU - Connor, Stephen J.

AU - Thomson, Madeleine C.

PY - 2007/9/3

Y1 - 2007/9/3

N2 - Epidemics of meningococcal meningitis in Africa have plagued the continent for over a century. These epidemics have a strong association with the environment and efforts are being made to develop models to predict both their location and their incidence. This review describes the predictive models based on climate/environmental information currently available, describes work in progress, and presents evidence that the distribution of the epidemics is changing in a pattern that is compatible with changes in the environment. Discussion of priorities for research in the context of the new conjugate vaccines in Africa is also provided. (C) 2007 Elsevier Ltd. All rights reserved.

AB - Epidemics of meningococcal meningitis in Africa have plagued the continent for over a century. These epidemics have a strong association with the environment and efforts are being made to develop models to predict both their location and their incidence. This review describes the predictive models based on climate/environmental information currently available, describes work in progress, and presents evidence that the distribution of the epidemics is changing in a pattern that is compatible with changes in the environment. Discussion of priorities for research in the context of the new conjugate vaccines in Africa is also provided. (C) 2007 Elsevier Ltd. All rights reserved.

KW - Africa

KW - Climate

KW - Environment

KW - Epidemics

KW - Geographic information system (GIS)

KW - Meningococcal meningitis

KW - Remote sensing

KW - Risk map

U2 - 10.1016/j.vaccine.2007.04.034

DO - 10.1016/j.vaccine.2007.04.034

M3 - Article

SN - 0264-410X

VL - 25

SP - A12-A17

JO - Vaccine

JF - Vaccine

IS - SUPPL. 1

ER -

Risk mapping and early warning systems for the control of meningitis in Africa

Abstract

UN SDGs

Keywords

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