ReviewOne health (Amsterdam, Netherlands)2023
Biodiversity data supports research on human infectious diseases: Global trends, challenges, and opportunities.
Review in One health (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Home is where the host is: evolutionary history of geographic spread, host switching and adaptive genomic signatures in two generalist group BMicrobial genomics · 2026Article
- Invasive alien mammals pose zoonotic risks to human health in Europe.One health (Amsterdam, Netherlands) · 2026Article
- Globally aggregated biodiversity data impact predictive and descriptive research.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Biodiversity science and biosurveillance are fellow travelers.Bioscience · 2025Article
- A minimum data standard for wildlife disease research and surveillance.Scientific data · 2025Article
- Pathogens and planetary change.Nature reviews. Biodiversity · 2025Article
- A framework for managing infectious diseases in rural areas in low- and middle-income countries in the face of climate change-East Africa as a case study.PLOS global public health · 2025Review
- In the Shadow of Medicine: The Glaring Absence of Occurrence Records of Human-Hosted Biodiversity.Online journal of public health informatics · 2024Article
- Bridging Biodiversity and Health: The Global Biodiversity Information Facility's initiative on open data on vectors of human diseases.GigaByte (Hong Kong, China) · 2024Article
- Global Mapping and Visualization Analysis of One Health Knowledge in the COVID-19 Context.Environmental health insights · 2024Article
- Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.Scientific data · 2023Article
- Hyperparameter optimization for cardiovascular disease data-driven prognostic system.Visual computing for industry, biomedicine, and art · 2023Article
- Nondestructive Methods of Pathogen Detection: Importance of Mosquito Integrity in Studies of Disease Transmission and Control.Pathogens (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.