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Updated: Jul 21, 2026

Building a Better Mosquito: Identifying the Genes Enabling Malaria and Dengue Fever Resistance in A. gambiae and A. aegypti Mosquitoes
Published on: July 4, 2007
Climate drives the meningitis epidemics onset in west Africa
Benjamin Sultan1, Karima Labadi, Jean-François Guégan
1IRD-Laboratoire d'Océanographie Dynamique et du Climat-UMR 7617 (CNRS/IRD/P6/MNHN)-Université Pierre et Marie Curie, Paris, France. benjamin.sultan@lodyc.jussieu.fr <benjamin.sultan@lodyc.jussieu.fr>
Background:
Every year West African countries within the Sahelo-Sudanian band are afflicted with major meningococcal meningitis (MCM) disease outbreaks, which affect up to 200,000 people, mainly young children, in one of the world's poorest regions. The timing of the epidemic year, which starts in February and ends in late May, and the spatial distribution of disease cases throughout the "Meningitis Belt" strongly indicate a close linkage between the life cycle of the causative agent of MCM and climate variability. However, mechanisms responsible for the observed patterns are still not clearly identified.
Methods And Findings:
By comparing the information on cases and deaths of MCM from World Health Organization weekly reports with atmospheric datasets, we quantified the relationship between the seasonal occurrence of MCM in Mali, a West African country, and large-scale atmospheric circulation. Regional atmospheric indexes based on surface wind speed show a clear link between population dynamics of the disease and climate: the onset of epidemics and the winter maximum defined by the atmospheric index share the same mean week (sixth week of the year; standard deviation, 2 wk) and are highly correlated.
Conclusions:
This study is the first that provides a clear, quantitative demonstration of the connections that exist between MCM epidemics and regional climate variability in Africa. Moreover, this statistically robust explanation of the MCM dynamics enables the development of an Early Warning Index for meningitis epidemic onset in West Africa. The development of such an index will undoubtedly help nationwide and international public health institutions and policy makers to better control MCM disease within the so-called westward-eastward pan-African Meningitis Belt.
Insights
Meningococcal meningitis (MCM) outbreaks in West Africa are linked to climate. This study quantifies the relationship, enabling an early warning system for better disease control in the African Meningitis Belt.
Area of Science:
- Epidemiology
- Climatology
- Public Health
Background:
- West African countries face annual meningococcal meningitis (MCM) outbreaks, impacting vulnerable populations.
- Epidemic timing and spatial distribution suggest a link between MCM and climate variability.
- Underlying mechanisms connecting MCM dynamics to climate remain unclear.
Purpose of the Study:
- To quantitatively demonstrate the link between MCM epidemics and regional climate variability in West Africa.
- To establish a statistically robust explanation for MCM epidemic dynamics.
- To develop an Early Warning Index for meningitis epidemics.
Main Methods:
- Compared World Health Organization MCM case/death data with atmospheric datasets.
- Analyzed seasonal MCM occurrence in Mali against large-scale atmospheric circulation.
- Utilized regional atmospheric indexes based on surface wind speed.
Main Results:
- A clear correlation was found between MCM epidemics and climate patterns in Mali.
- The onset of MCM epidemics aligns with the winter maximum atmospheric index.
- Population dynamics of MCM show a strong link to climate variability.
Conclusions:
- This study provides the first quantitative evidence linking MCM epidemics to African climate variability.
- A statistically robust explanation for MCM dynamics facilitates an Early Warning Index.
- The index will aid public health institutions in controlling MCM in the African Meningitis Belt.
Related Concept Videos
Bacterial Meningitis
Viral Meningitis
Arboviral Encephalitis
Malaria
Bacterial Meningitis I: Introduction
Bacterial Meningitis II: Pathophysiology

