ReviewZoonoses and public health2012
Anticipating the species jump: surveillance for emerging viral threats.
Review in Zoonoses and public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 citing papers in PubMed.
- Small RNA genomics of Aedes aegypti mosquitoes discovers infectious viruses that trigger an RNA interference response.Nature communications · 2026Article
- Article
- A novel genotype ofFrontiers in cellular and infection microbiology · 2025Article
- Identification of novel hepaciviruses andVirus evolution · 2025Article
- Full-genome sequencing of dozens of new DNA viruses found in Spanish bat feces.Microbiology spectrum · 2024Article
- Bioinformatics-based screening tool identifies a wide variety of human and zoonotic viruses in Trujillo-Peru wastewater.One health (Amsterdam, Netherlands) · 2024Article
- Building a pathway to One Health surveillance and response in Asian countries.Science in One Health · 2024Review
- Science abhors a surveillance vacuum: Detection of ticks and tick-borne pathogens in southern New Mexico through passive surveillance.PloS one · 2024Article
- Forecasting Outbreaks of Hantaviral Disease: Future Directions in Geospatial Modeling.Viruses · 2023Article
- Resident Physicians' Knowledge and Preparedness Regarding Human Monkeypox: A Cross-Sectional Study from Saudi Arabia.Pathogens (Basel, Switzerland) · 2023Article
- Classifying literature mentions of biological pathogens as experimentally studied using natural language processing.Journal of biomedical semantics · 2023Article
- Viral protein instability enhances host-range evolvability.PLoS genetics · 2022Article
- Implications of the Immune Polymorphisms of the Host and the Genetic Variability of SARS-CoV-2 in the Development of COVID-19.Viruses · 2022Review
- Spontaneous Mutations in HIV-1 Gag, Protease, RT p66 in the First Replication Cycle and How They Appear: Insights from an In Vitro Assay on Mutation Rates and Types.International journal of molecular sciences · 2020Article
- Possible risks posed by single-stranded DNA viruses of pigs associated with xenotransplantation.Xenotransplantation · 2018Review
- Abundance and distribution of sylvatic dengue virus vectors in three different land cover types in Sarawak, Malaysian Borneo.Parasites & vectors · 2017Article
- Cyprinid herpesvirus 3 and its evolutionary future as a biological control agent for carp in Australia.Virology journal · 2016Article
- Article
- The Strange, Expanding World of Animal Hepaciviruses.Annual review of virology · 2016Review
- Infection and pathogenesis of canine, equine, and human influenza viruses in canine tracheas.Journal of virology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Zoonotic disease surveillance is typically triggered after animal pathogens have already infected humans. Are there ways to identify high-risk viruses before they emerge in humans? If so, then how and where can identifications be made and by what methods? These were the fundamental questions driving a workshop to examine the future of predictive surveillance for viruses that might jump from animals to infect humans. Virologists, ecologists and computational biologists from academia, federal government and non-governmental organizations discussed opportunities as well as obstacles to the prediction of species jumps using genetic and ecological data from viruses and their hosts, vectors and reservoirs. This workshop marked an important first step towards envisioning both scientific and organizational frameworks for this future capability. Canine parvoviruses as well as seasonal H3N2 and pandemic H1N1 influenza viruses are discussed as exemplars that suggest what to look for in anticipating species jumps. To answer the question of where to look, prospects for discovering emerging viruses among wildlife, bats, rodents, arthropod vectors and occupationally exposed humans are discussed. Finally, opportunities and obstacles are identified and accompanied by suggestions for how to look for species jumps. Taken together, these findings constitute the beginnings of a conceptual framework for achieving a virus surveillance capability that could predict future species jumps.
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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.