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Geospatial analysis reveals uneven malaria infection and exposure across Nigeria, suggesting targeted interventions.
Geospatial findings underscored Nigeria's hyperendemic but heterogeneous malaria epidemiology with infection and exposure are not unequally distributed among the populace. Serological data can provide greater insights into malaria risk factor analyses and augment examination of spatial heterogeneities in transmission.
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Jaramillo-Underwood et al. (2026) studied this question.
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