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2024

Spatio-temporal analysis of the distribution of two primary tools for malaria prevention: long-lasting insecticidal nets and intermittent preventive treatment in Côte d'Ivoire between 2017 and 2019

Konan Rodolphe Mardoché Azongnibo, Serge-Brice Assi, Alexis Serge Aimain, Gnamké Mathieu Niamké, Aristide Colette Adjoua Kouakou, Kouassi Paul Anoh, Akré Maurice Adja, Emmanuel Bonnet et Florence Fournet
Cet article est une traduction de :
Analyse spatio-temporelle de la mise à disposition de deux moyens de prévention du paludisme : les moustiquaires imprégnées d’insecticide à longue durée d’action et le traitement préventif intermittent en Côte d'Ivoire entre 2017 et 2019 [fr]

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1Malaria remains a major public health problem in Africa, which accounts for 94% of cases. Moreover, in West Africa, the prevalence of malaria exposure during pregnancy is the highest. Two primary tools are used for the prevention of malaria: long-lasting insecticidal nets (LLINs) and intermittent preventive treatment (IPT) for pregnant women. Côte d’Ivoire has access to these prevention methods recommended by the WHO. National campaigns for the distribution of LLINs are regularly organized nationwide. Alongside the widespread distribution of LLINs, these primary tools are also administered through the Expanded Program on Immunization (EPI) for children and during antenatal care (ANC) for pregnant women, where IPT is also provided. Despite the crucial importance of these interventions, there remains a significant lack of data regarding the extent of LLINs and IPTs coverage in Côte d'Ivoire. Access to such information is pivotal for enhancing malaria prevention efforts by enabling more targeted and effective interventions.

2The objective of this study was to analyze the distribution rates of long-lasting insecticidal nets (LLINs) and the third dose of intermittent preventive treatment (IPT3) in the health districts of Côte d'Ivoire from 2017 to 2019. The data utilized were sourced from the national malaria control program (NMCP), encompassing the quantities of LLINs dispensed during ANC for pregnant women and under the EPI for children. Additionally, the numbers of IPT3 administered to pregnant women during ANC for the same period (2017-2019) were included.

3The distribution rates of MILDA and IPT3 were calculated following the methods used by the Ministry of Health. They were mapped for each health district and for each year of the study (2017, 2018, and 2019) using QGIS 3.28 software. The global spatial autocorrelation index of Moran (Moran's I) was then calculated for each prevention method. When the global Moran's index indicated the presence of clusters, complementary analyses were conducted using Local Indicators of Spatial Association (LISA), which allow for the identification of spatial aggregations of high or low values. This methodology was employed to pinpoint health districts characterized by low distribution rates of LLINs or IPT3. The Moran's index and LISA were calculated using GeoDA 1.20.

4The distribution rates of LLINs during ANC ranged from 49.3% to 74.2%, and from 49.3% to 69.1% under the EPI. Meanwhile, the distribution rate of IPT3 ranged between 40% and 46.1% during the analysis period. The spatial indices measured for the distribution rate of MILDA in EPI and ANC showed no spatial aggregation for all years of the analysis period (2017-2019).

5As for the distribution rate of IPT3, aggregations were observed in 2018 and 2019, and the LISA analysis indicates that it is in the eastern part of the country where health districts with the highest distribution rates of IPT3 are concentrated. The western part of the country harbors health districts with the lowest distribution rates of IPT3 in 2018, whereas in 2019, it is the northern part of the country that concentrates health districts with the lowest distribution rates of IPT3.

6Despite limitations due to the use of data reported by the healthcare system, our study highlights that the distribution rate of MILDA to children under 5 and pregnant women remains below the 80% threshold targeted by the National Malaria Control Program (PNLP) of Côte d'Ivoire since 2017. The distribution rate of IPT3 tends to approach the goals of the PNLP of Côte d'Ivoire, which were set at 60% in 2017 and 80% in 2019. Some socio-cultural barriers may explain this situation and should be explored to improve malaria prevention, which remains inadequate, especially in healthcare areas located in the western part of the country where malaria incidence is very high.

Figure 1: Location of health districts with high and low IPT3 distribution rates in 2018 and 2019 among pregnant women

Figure 1: Location of health districts with high and low IPT3 distribution rates in 2018 and 2019 among pregnant women
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Titre Figure 1: Location of health districts with high and low IPT3 distribution rates in 2018 and 2019 among pregnant women
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Konan Rodolphe Mardoché Azongnibo, Serge-Brice Assi, Alexis Serge Aimain, Gnamké Mathieu Niamké, Aristide Colette Adjoua Kouakou, Kouassi Paul Anoh, Akré Maurice Adja, Emmanuel Bonnet et Florence Fournet, « Spatio-temporal analysis of the distribution of two primary tools for malaria prevention: long-lasting insecticidal nets and intermittent preventive treatment in Côte d'Ivoire between 2017 and 2019 »Revue francophone sur la santé et les territoires [En ligne], Varia, mis en ligne le 26 novembre 2024, consulté le 11 juillet 2025. URL : http://journals.openedition.org/rfst/2291 ; DOI : https://doi.org/10.4000/12yzx

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Auteurs

Konan Rodolphe Mardoché Azongnibo

Institut de Géographie Tropicale, Université Félix Houphouët-Boigny, Côte d’Ivoire

Institut Pierre Richet/Institut National de Santé Publique, Bouaké, Côte d’Ivoire

Serge-Brice Assi

Institut Pierre Richet/Institut National de Santé Publique, Bouaké, Côte d’Ivoire

Programme National de Lutte contre le Paludisme

Alexis Serge Aimain

Programme National de Lutte contre le Paludisme

Gnamké Mathieu Niamké

Institut de Géographie Tropicale, Université Félix Houphouët-Boigny, Côte d’Ivoire

Aristide Colette Adjoua Kouakou

Institut de Géographie Tropicale, Université Félix Houphouët-Boigny, Côte d’Ivoire

Kouassi Paul Anoh

Institut de Géographie Tropicale, Université Félix Houphouët-Boigny, Côte d’Ivoire

Articles du même auteur

Akré Maurice Adja

Institut Pierre Richet/Institut National de Santé Publique, Bouaké, Côte d’Ivoire

UFR Biosciences, Université Félix Houphouët-Boigny, Côte d’Ivoire

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Emmanuel Bonnet

PRODIG, IRD, CNRS, France

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Florence Fournet

MIVEGEC, université de Montpellier, IRD, CNRS, France

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