Results 51 to 60 of about 4,655 (203)

Ranking of Data Streamsby Biosurveillance Goal. [PDF]

, 2014
Ranking of Data Streamsby Biosurveillance Goal.
Kirsten J. Taylor-McCabe (505429), W. Brent Daniel (505431), Mac Brown (505430), Andrea Hengartner (505433), Nicholas Generous (505428), Alina Deshpande (505434), Kristen J. Margevicius (505427), Lauren Castro (505432)   +7 more
core   +1 more source

Overview of Bat and Wildlife Coronavirus Surveillance in Africa: A Framework for Global Investigations

Viruses, 2021
The ongoing coronavirus disease 2019 (COVID-19) pandemic has had devastating health and socio-economic impacts. Human activities, especially at the wildlife interphase, are at the core of forces driving the emergence of new viral agents.
Marike Geldenhuys, Marinda Mortlock, Jonathan H. Epstein, Janusz T. Pawęska, Jacqueline Weyer, Wanda Markotter   +5 more
doaj   +1 more source

Environmental DNA as a Detection and Quantitative Tool for Brown Bullhead Catfish (Ameiurus nebulosus): A Comparison With Conventional Netting

Environmental DNA, Volume 8, Issue 4, July‐August 2026.
Multiple environmental DNA (eDNA) methods were compared with each other and with fyke netting for detecting invasive brown bullhead catfish. eDNA sampling combined with catfish‐specific metabarcoding provides sensitive detection and effectively complements traditional netting for biosecurity.
Nicola Rose Pyper, Shaun Wilkinson, Angela McGaughran   +2 more
wiley   +1 more source

Higher Trophic Status Leads to More Diverse and Divergent Microeukaryote Communities Over Time in Urban Lakes From the Greater Paris (France)

Environmental Microbiology Reports, Volume 18, Issue 3, June 2026.
Microeukaryote dynamics across a eutrophication gradient in Greater Paris region lakes showed richness peaking at intermediate trophic levels and communities becoming more modular, variable, and less connected with higher trophic status compared to oligo‐to‐mesotrophic lakes.
Sébastien Duperron, Pierre Foucault, Amaury Le Vern, Midoli Goto, Charlotte Duval, Benjamin Marie, Sahima Hamlaoui, Sébastien Halary, Dominique Lamy, Emilie Lance, Marc Troussellier, Cécile Bernard, Ludwig Jardillier, Julie Leloup   +13 more
wiley   +1 more source

Prioritizing Feasible and Impactful Actions to Enable Secure AI Development and Use in Biology

Biotechnology and Bioengineering, Volume 123, Issue 5, Page 1097-1106, May 2026.
ABSTRACT As artificial intelligence continues to enhance biological innovation, the potential for misuse must be addressed to fully unlock the potential societal benefits. While significant work has been done to evaluate general‐purpose AI and specialized biological design tools (BDTs) for biothreat creation risks, actionable steps to mitigate the risk
Josh Dettman, Emily Lathrop, Aurelia Attal‐Juncqua, Matthew Nicotra, Allison Berke   +4 more
wiley   +1 more source

Wildlife biosurveillance [PDF]

, 2009
The objective of wildlife biosurveillance is to detect health-related events potentially harmful for wild animals, man or domestic animals.
CALAVAS, Didier, ARTOIS, Marc, Didier Calavas, Eva Warns-Petit, Marc Artois, WARNS-PETIT, Eva   +5 more
core   +1 more source

Environmental DNA metabarcoding read numbers and their variability predict species abundance, but weakly in non‐dominant species

Environmental DNA, 2023
Metabarcoding of environmental DNA (eDNA) provides more comprehensive, efficient, and non‐invasive sampling of biological communities than conventional methods.
James Skelton, Allison Cauvin, Margaret E. Hunter   +2 more
doaj   +1 more source

Known and Unknown Transboundary Infectious Diseases as Hybrid Threats

Frontiers in Public Health, 2021
The pathogenicity, transmissibility, environmental stability, and potential for genetic manipulation make microbes hybrid threats that could blur the distinction between peace and war.
Willy A. Valdivia-Granda
doaj   +1 more source

Bayesian Biosurveillance of Disease Outbreaks

CoRR, 2012
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal patterns of a non-contagious disease (respiratory anthrax infection) in a population of people.
Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner 0001   +5 more
openaire   +3 more sources

Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources

Interdisciplinary Perspectives on Infectious Diseases, 2016
The Global Rapid Identification of Threats System (GRITS) is a biosurveillance application that enables infectious disease analysts to monitor nontraditional information sources (e.g., social media, online news outlets, ProMED-mail reports, and blogs ...
Andrew G. Huff, Nathan Breit, Toph Allen, Karissa Whiting, Christopher Kiley   +4 more
doaj   +1 more source