Cruz, Gabriella L. T.Winck, Gisele ReginaD’Andrea, Paulo S.Krempser, EduardoVidal, Mariana M.Siliansky De Andreazzi, Cecilia2025-06-022025-06-022023-11-02Cruz, G.L.T., Winck, G.R., D’Andrea, P.S. et al. Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset. Sci Data 10, 757 (2023). https://doi.org/10.1038/s41597-023-02636-82052-446310.1038/s41597-023-02636-8https://hdl.handle.net/20.500.14352/120756This study was funded by current Serrapilheira Institute grant (to G.L.T.C; Cost Center 13754, project 5179); Brazilian Research Council postdoctoral fellowship [CNPq/MCTIC–Síntese em Biodiversidade e Serviços Ecossistêmicos (SinBiose)] 152411/2020-8, 151224/2021-8, 165330/2021-0 (to G.R.W.); and current Serrapilheira Institute postdoctoral fellowship (to G.R.W.; Cost Center 13754, project 5179); Brazilian Research Council grant [CNPq/MCTIC–Síntese em Biodiversidade e Serviços Ecossistêmicos (SinBiose)] 442410/2019-0 (to P.S.D and C.S.A.); Brazilian Research Council grant (CNPq/MCTIC–Research Productivity Universal) 313211/2018-3 (to P.S.D.); Brazilian Research Council grant (CNPq/MCTIC–Universal) 439208/2018-1 (to P.S.D.); Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro grant (FAPERJ–APQ1) E-26/201.467/2019 (to P.S.D.); Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro grant (FAPERJ–COLBIO) E-26/201.309/2021 (to P.S.D.); Serrapilheira Institute postdoctoral fellowship (to M.M.V.; Cost Center 13754, project 5179); Brazilian Research Council grant (CNPq/MCTIC–Universal) 430408/2018-8 (to C.S.A.); and Serrapilheira Institute grant 1912-32354 (to C.S.A.). We are grateful to the Centre for Synthesis in Biodiversity and Ecosystem Services (SinBiose), funded by the Brazilian Research Council, for providing the opportunity for the development of this work.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 zoonotic microparasites, we elucidate patterns of zoonotic microparasite dissemination. This approach contributes to wild animal and zoonoses surveillance, identifying and targeting host species accountable for disproportionate levels of parasite sharing within distinct biomes. Moreover, our novel dataset contributes to the refinement of models concerning disease emergence and parasite distribution among host species.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/journal articlehttps://doi.org/10.1038/s41597-023-02636-8https://www.nature.com/articles/s41597-023-02636-8open access576.8(81)591.69616.9616-036.22574.9004.6BiogeographyEcological epidemiologyInfectious diseasesEnfermedades infecciosasParasitología (Medicina)Ecología (Biología)Bases de datos (Informática)2401.12 Parasitología Animal3205.05 Enfermedades Infecciosas3207.12 Parasitología3202 Epidemiología2505.01 Biogeografía