Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.

ABSTRACT: Incomplete information on parasites, their associated hosts, and their precise geographical location hampers the ability to predict disease emergence in Brazil, a continental-sized country characterised by significant regional disparities. Here, we demonstrate how the NCBI Nucleotide and GBIF databases can be used as complementary databases to study spatially georeferenced parasite-host associations. We also provide a comprehensive dataset of parasites associated with mammal species that occur in Brazil, the Brazilian Mammal Parasite Occurrence Data (BMPO). This dataset integrates wild mammal species' morphological and life-history traits, zoonotic parasite status, and zoonotic microparasite transmission modes. Through meta-networks, comprising interconnected host species linked by shared

SUBMITTER: Cruz GLT 

PROVIDER: S-EPMC10622529 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature