Geospatial Health (Aug 2024)

Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

  • Yao Etienne Kouakou,
  • Iba Dieudonné Dely,
  • Madina Doumbia,
  • Aziza Ouattara,
  • Effah Jemima N’da,
  • Koffi Evrard Brou,
  • Yao Anicet Zouzou,
  • Guéladio Cissé,
  • Brama Koné

DOI
https://doi.org/10.4081/gh.2024.1285
Journal volume & issue
Vol. 19, no. 2

Abstract

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Malaria is the leading cause of morbidity among children under five years of age and pregnant women in Côte d’Ivoire. We assessed the geographical distribution of its risk in all climatic zones of the country based on the Fifth Assessment Report (AR5) of the United Nations Intergovernmental Panel on Climate Change (IPCC) approach to climate risk analysis. This methodology considers three main driving components affecting the risk: Hazard, exposure and vulnerability. Considering the malaria impact chain, various variables were identified for each of the risk factors and for each variable, a measurable indicator was identified. These indicators were then standardized, weighted through a participatory approach based on expert judgement and finally aggregated to calculate current and future risk. With regard to the four climatic zones in the country: Attieen (sub-equatorial regime) in the South, Baouleen (humid tropical) in the centre, Sudanese or equatorial (tropical transition regime) in the North and the mountainous (humid) in the West. Malaria risk among pregnant women and children under 5 was found to be higher in the mountainous and the Baouleen climate, with the hazard highest in the mountainous climate and Exposure very high in the Attieen climate. The most vulnerable districts were those in Baouleen, Attieen and the mountainous climates. By 2050, the IPCC representative concentration pathway (RCP) 4.5 and 8.5 scenarios predict an increase in risk in almost all climatic zones, compared to current levels, with the former considering a moderate scenario, with an emissions peak around 2040 followed by a decline and RCP 8.5 giving the highest baseline emissions scenario, in which emissions continue to rise. It is expected that the AR5 approach to climate risk analysis will be increasingly used in climate risk assessment studies so that it can be better assessed at a variety of scales.

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