Biodiversity data supports research on human infectious diseases: Global trends, challenges, and opportunities

被引:5
|
作者
Astorga, Francisca [1 ]
Groom, Quentin [2 ]
Shimabukuro, Paloma Helena Fernandes [3 ]
Manguin, Sylvie [4 ]
Noesgaard, Daniel [5 ]
Orrell, Thomas [6 ]
Sinka, Marianne [7 ]
Hirsch, Tim [5 ]
Schigel, Dmitry [5 ]
机构
[1] Univ Mayor, Fac Ciencias, Providencia, Chile
[2] Meise Bot Garden, Biodivers Informat, Belgium Nieuwelaan 38, B-1860 Meise, Belgium
[3] Fundaca Oswaldo Cruz, Inst Rene Rachou, Brazil Ave Augusto Lima 1715, BR-30190002 Belo Horizonte, MG, Brazil
[4] Univ Montpellier, HSM, CNRS, IRD, 911 Ave Agropolis, F-34394 Montpellier, France
[5] Global Biodivers Informat Facil, Univ Pk 15, DK-2100 Copenhagen O, Denmark
[6] Natl Museum Nat Hist, Smithsonian Inst, 10th St & Constitut Ave NW, Washington, DC 20560 USA
[7] Univ Oxford, Oxford OX1 2JD, England
关键词
GBIF; Vector-borne diseases; Zoonoses; Bioinformatics; Risk assessment;
D O I
10.1016/j.onehlt.2023.100484
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
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页数:9
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