ReviewCurrent topics in microbiology and immunology2007
Infectious disease modeling and the dynamics of transmission.
Review in Current topics in microbiology and immunology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed.
- Active Participatory Surveillance for Early Detection of Notifiable Pathogens: A Case Study of the U.S. Swine Industry.Viruses · 2026Article
- Article
- Behavioral aspects and the transmission of Monkeypox: A novel approach to determine the probability of transmission for sexually transmissible diseases.Infectious Disease Modelling · 2023Article
- Risk factors and vectors for SARS-CoV-2 household transmission: a prospective, longitudinal cohort study.The Lancet. Microbe · 2023Article
- Quantifying intra- and inter-species contact rates at supplemental feeding sites in Ethiopia to inform rabies maintenance potential of multiple host species.Transboundary and emerging diseases · 2022Article
- Re-emphasizing mechanism in the community ecology of disease.Functional ecology · 2021Article
- The human coronaviruses (HCoVs) and the molecular mechanisms of SARS-CoV-2 infection.Journal of molecular medicine (Berlin, Germany) · 2021Review
- An epidemiological study of avian influenza A (H5) virus in nomadic ducks and their raising practices in northeastern Bangladesh, 2011-2012.Influenza and other respiratory viruses · 2017Article
- Surveillance for emerging biodiversity diseases of wildlife.PLoS pathogens · 2014Article
- Diseased prey predator model with general Holling type interactions.Applied mathematics and computation · 2014Article
- Structuring targeted surveillance for monitoring disease emergence by mapping observational data onto ecological process.Journal of the Royal Society, Interface · 2013Article
- Disease control in a food chain model supplying alternative food.Applied mathematical modelling · 2013Article
- Barrier immune effectors are maintained during transition from nurse to forager in the honey bee.PloS one · 2013Article
- Systems biology of fungal infection.Frontiers in microbiology · 2012Article
- Mass extinctions, biodiversity and mitochondrial function: are bats 'special' as reservoirs for emerging viruses?Current opinion in virology · 2011Review
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
No grant is acknowledged in the PubMed record.
Abstract
The dynamics of any infectious disease are heavily dependent on the rate of transmission from infectious to susceptible hosts. In many disease models, this rate is captured in a single compound parameter, the probability of transmission P. However, closer examination reveals how beta can be further decomposed into a number of biologically relevant variables, including contact rates among individuals and the probability that contact events actually result in disease transmission. We start by introducing some of the basic concepts underlying the different approaches to modeling disease transmission and by laying out why a more detailed understanding of the variables involved is usually desirable. We then describe how parameter estimates of these variables can be derived from empirical data, drawing primarily from the existing literature on human diseases. Finally, we discuss how these concepts and approaches may be applied to the study of pathogen transmission in wildlife diseases. In particular, we highlight recent technical innovations that could help to overcome some the logistical challenges commonly associated with empirical disease research in wild populations.
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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.