| RRC ID |
77658
|
| 著者 |
Cruz GLT, Winck GR, D'Andrea PS, Krempser E, Vidal MM, Andreazzi CS.
|
| タイトル |
Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.
|
| ジャーナル |
Sci Data
|
| 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 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.
|
| 巻・号 |
10(1)
|
| ページ |
757
|
| 公開日 |
2023-11-2
|
| DOI |
10.1038/s41597-023-02636-8
|
| PII |
10.1038/s41597-023-02636-8
|
| PMID |
37919263
|
| PMC |
PMC10622529
|
| MeSH |
Animals
Animals, Wild
Brazil
Host-Parasite Interactions*
Mammals / parasitology
Parasites*
Spatial Analysis
|
| IF |
5.541
|
| リソース情報 |
| GBIF |
Biological Resource Center, Department of Biotechnology, National Institute of Technology and Evaluation |
