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Table 1.

Depiction of covariates that were incorporated for the study.

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Table 2.

Malaria Prevalence among Children Aged 6-59 Months Diagnosed with RDT in the NMIS of 2021.

Summary of background variables (n = 4724).

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Table 3.

The weighted factors of RDT test results among children aged 6-59 month (n = 4869).

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Fig 1.

Spatial autocorrelation analysis malaria prevalence among children age 6-59 months in Niger, 2021 Niger malaria indicator Survey.

Given the Z- score of 10.47 there is a less than 1% likelihood that this clustered pattern could be the result of random chance.

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Fig 2.

Hot spot analysis of prevalence of malaria among children in Niger, Map created by the authors using ArcGIS software and cluster data from the 2021 Niger Malaria Indicator Survey (NMIS), DHS Program.

Copyright rests with the authors and is distributed under the CC BY 4.0 license.

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Table 4.

Significant SaTScan clusters of adherence to RDT among children aged 6-59 moths in Niger, 2021 Niger malaria indicator Survey.

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Fig 3.

SaTScan analysis for prevalence of malaria among children in Niger, Map created by the authors using ArcGIS software and cluster data from the 2021 Niger Malaria Indicator Survey (NMIS), DHS Program.

Copyright rests with the authors and is distributed under the CC BY 4.0 license.

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Fig 4.

Interpolation of prevalence of malaria among children in Niger, Map created by the authors using ArcGIS software and cluster data from the 2021 Niger Malaria Indicator Survey (NMIS), DHS Program.

Copyright rests with the authors and is distributed under the CC BY 4.0 license.

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Table 5.

Interpolation of prevalence of malaria among children in Niger, 2021 Niger malaria indicator Survey.

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Table 6.

Multivariate multilevel logistic regression analysis of child and community level factors associated with prevalence of RDT among children aged 6-59 months diagnosed with malaria in the NMIS of 2021.

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Table 7.

Key Findings and Implications of Malaria Prevalence Study among Children Aged 6-59 Months in Niger (NMIS 2021).

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