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Geospatial based model for malaria risk prediction in Kilombero valley, South-eastern, Tanzania

Fig 5

Illustration of the relationship between human population distributions and the vulnerability levels to malaria (Panel A), the correlation between different land use and land cover classes and the malaria vulnerability levels (Panel B), the relationship between the proximity of health facilities and the malaria vulnerability levels (Panel C) and the association between the proximity of road networks and malaria vulnerability levels (Panel D).

Fig 5

doi: https://doi.org/10.1371/journal.pone.0293201.g005