ReviewNature reviews. Microbiology2005
New approaches to quantifying the spread of infection.
Review in Nature reviews. Microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Transmission of antimicrobial resistance (AMR) during animal transport.EFSA journal. European Food Safety Authority · 2022Article
- Assessing biases in phylodynamic inferences in the presence of super-spreaders.Veterinary research · 2019Article
- Demographic stochasticity drives epidemiological patterns in wildlife with implications for diseases and population management.Scientific reports · 2018Article
- Key data for outbreak evaluation: building on the Ebola experience.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data.PLoS computational biology · 2016Article
- Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks.PLoS computational biology · 2016Article
- Article
- Co-infection alters population dynamics of infectious disease.Nature communications · 2015Article
- Distribution and abundance of hematophagous flies (Glossinidae, Stomoxys, and Tabanidae) in two national parks of Gabon.Parasite (Paris, France) · 2015Article
- Article
- Forecasting ESKAPE infections through a time-varying auto-adaptive algorithm using laboratory-based surveillance data.BMC infectious diseases · 2014Article
- Acceleration of evolutionary spread by long-range dispersal.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Detecting differential transmissibilities that affect the size of self-limited outbreaks.PLoS pathogens · 2014Article
- Adding the spatial dimension to the social network analysis of an epidemic: investigation of the 2007 outbreak of equine influenza in Australia.Preventive veterinary medicine · 2012Article
- Influence on disease spread dynamics of herd characteristics in a structured livestock industry.Journal of the Royal Society, Interface · 2012Article
- Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men.Biostatistics (Oxford, England) · 2011Article
- How to make predictions about future infectious disease risks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2011Review
- Data-model fusion to better understand emerging pathogens and improve infectious disease forecasting.Ecological applications : a publication of the Ecological Society of America · 2011Article
- Modelling effectiveness of herd level vaccination against Q fever in dairy cattle.Veterinary research · 2011Article
- Estimation of transmission parameters of a fluoroquinolone-resistant Escherichia coli strain between pigs in experimental conditions.Veterinary research · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Recent major disease outbreaks, such as severe acute respiratory syndrome and foot-and-mouth disease in the UK, coupled with fears of emergence of human-to-human transmissible variants of avian influenza, have highlighted the importance of accurate quantification of disease threat when relatively few cases have occurred. Traditional approaches to mathematical modelling of infectious diseases deal most effectively with large outbreaks in large populations. The desire to elucidate the highly variable dynamics of disease spread amongst small numbers of individuals has fuelled the development of models that depend more directly on surveillance and contact-tracing data. This signals a move towards a closer interplay between epidemiological modelling, surveillance and disease-management strategies.
Indexed as
Identifiers
What OpenQuestion holds
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.