Atmospheric Dust, Early Cases, and Localized Meningitis Epidemics in the African Meningitis Belt: An Analysis Using

Maxime Woringer1, Nadège Martiny2, Souleymane Porgho3

  • 11 École Normale Supérieure (ENS) , Paris, France.

Abstract

Insights

Localized bacterial meningitis epidemics in Africa are not linked to atmospheric dust. Early season meningitis cases, however, may predict future localized epidemics, suggesting a potential early warning indicator.

Area of Science:

  • Epidemiology
  • Environmental Health
  • Infectious Disease Dynamics

Background:

  • Bacterial meningitis poses a significant health burden in the African meningitis belt, characterized by seasonal hyperendemicity and localized epidemics.
  • While atmospheric dust is linked to hyperendemicity, its role in triggering localized epidemics remains unclear.
  • Epidemics occur at small spatial scales (health center catchment areas) and larger waves every 7-10 years.

Purpose of the Study:

  • To investigate the association between localized meningitis epidemics and atmospheric dust load.
  • To evaluate the correlation between early season meningitis cases and subsequent epidemic occurrence within health center catchment areas.

Main Methods:

  • Weekly suspected bacterial meningitis cases were collected at the health center (HC) resolution in Burkina Faso (2004-2014).
  • Logistic regression analysis was used to assess the association of epidemic HC-weeks with atmospheric dust (aerosol optical thickness - AOT) and early season case counts (October-December).

Main Results:

  • Atmospheric dust load (AOT) showed a strong association with epidemic HC-weeks in crude analyses, but this link disappeared when controlling for calendar week.
  • The number of early meningitis cases reported between October and December was significantly associated with epidemic HC-weeks in the following January-May period (OR per additional early case: 1.13; 95% CI: 1.06, 1.21).

Conclusions:

  • Spatial variations in atmospheric dust load do not appear to be a trigger for localized meningitis epidemics.
  • The number of early season cases may serve as a predictive indicator for localized epidemic risk, though the underlying mechanism requires further investigation.

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