Your browser doesn't support javascript.
loading
Biodiversity data supports research on human infectious diseases: Global trends, challenges, and opportunities.
Astorga, Francisca; Groom, Quentin; Shimabukuro, Paloma Helena Fernandes; Manguin, Sylvie; Noesgaard, Daniel; Orrell, Thomas; Sinka, Marianne; Hirsch, Tim; Schigel, Dmitry.
Affiliation
  • Astorga F; Facultad de Ciencias, Universidad Mayor, Chile.
  • Groom Q; Biodiversity Informatics, Meise Botanic Garden, Belgium Nieuwelaan 38, 1860, Meise, Belgium.
  • Shimabukuro PHF; Instituto René Rachou, Fundação Oswaldo Cruz, Brazil Av. Augusto de Lima, 1715 - Barro Preto, Belo Horizonte, MG 30190-002, Brazil.
  • Manguin S; HSM, University Montpellier, CNRS, IRD, 911 Av. Agropolis, 34394 Montpellier, France.
  • Noesgaard D; Global Biodiversity Information Facility, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark.
  • Orrell T; Smithsonian Institution, National Museum of Natural History, 10th St. & Constitution Ave. NW, Washington, DC 20560, USA.
  • Sinka M; University of Oxford, Oxford OX1 2JD, United Kingdom.
  • Hirsch T; Global Biodiversity Information Facility, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark.
  • Schigel D; Global Biodiversity Information Facility, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark.
One Health ; 16: 100484, 2023 Jun.
Article in En | MEDLINE | ID: mdl-36714536
ABSTRACT
The unprecedented generation of large volumes of biodiversity data is consistently contributing to a wide range of disciplines, including disease ecology. Emerging infectious diseases are usually zoonoses caused by multi-host pathogens. Therefore, their understanding may require the access to biodiversity data related to the ecology and the occurrence of the species involved. Nevertheless, despite several data-mobilization initiatives, the usage of biodiversity data for research into disease dynamics has not yet been fully leveraged. To explore current contribution, trends, and to identify limitations, we characterized biodiversity data usage in scientific publications related to human health, contrasting patterns of studies citing the Global Biodiversity Information Facility (GBIF) with those obtaining data from other sources. We found that the studies mainly obtained data from scientific literature and other not aggregated or standardized sources. Most of the studies explored pathogen species and, particularly those with GBIF-mediated data, tended to explore and reuse data of multiple species (>2). Data sources varied according to the taxa and epidemiological roles of the species involved. Biodiversity data repositories were mainly used for species related to hosts, reservoirs, and vectors, and barely used as a source of pathogens data, which was usually obtained from human and animal-health related institutions. While both GBIF- and not GBIF-mediated data studies explored similar diseases and topics, they presented discipline biases and different analytical approaches. Research on emerging infectious diseases may require the access to geographical and ecological data of multiple species. The One Health challenge requires interdisciplinary collaboration and data sharing, which is facilitated by aggregated repositories and platforms. The contribution of biodiversity data to understand infectious disease dynamics should be acknowledged, strengthened, and promoted.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: One Health Year: 2023 Document type: Article Affiliation country: Chile

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Risk_factors_studies Language: En Journal: One Health Year: 2023 Document type: Article Affiliation country: Chile