ArticleWorld journal of virology2012
Viral evolution and transmission effectiveness.
Article in World journal of virology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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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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.
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Who cites it
16 citing papers in PubMed.
- Article
- Future Sequon Finder - A novel approach for predicting future N-linked glycosylation sequon locations on viral surface proteins.PloS one · 2025Article
- Time warping between main epidemic time series in epidemiological surveillance.PLoS computational biology · 2023Article
- Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective.Spatial and spatio-temporal epidemiology · 2022Article
- Challenges in Establishing Vaccine Induced Herd Immunity through Age Specific Community Vaccinations.Aging and disease · 2022Article
- Metabolic and inflammatory health in SARS-CoV-2 and the potential role for habitual exercise in reducing disease severity.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022Review
- Psychological Fragility in an Italian Cohort of Systemic Sclerosis Patients During COVID-19 Pandemic Category: Short Communication.Open access rheumatology : research and reviews · 2022Article
- Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- COVID-19 Pandemic Outbreak in the Subcontinent: A Data Driven Analysis.Journal of personalized medicine · 2021Article
- Predicted B Cell Epitopes Highlight the Potential for COVID-19 to Drive Self-Reactive Immunity.Frontiers in bioinformatics · 2021Article
- SARS-CoV-2 reinfection and implications for vaccine development.Human vaccines & immunotherapeutics · 2020Review
- A Brief Theory of Epidemic Kinetics.Biology · 2020Article
- COVID-19 vulnerability: the potential impact of genetic susceptibility and airborne transmission.Human genomics · 2020Review
- Challenges of influenza A viruses in humans and animals and current animal vaccines as an effective control measure.Clinical and experimental vaccine research · 2018Review
- Identification of novel silent HIV propagation routes in Pakistan.World journal of virology · 2013Article
- Article
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
Different viruses transmit among hosts with different degrees of efficiency. A basic reproductive number (R0) indicates an average number of cases getting infected from a single infected case. R0 can vary widely from a little over 1 to more than 10. Low R0 is usually found among rapidly evolving viruses that are often under a strong positive selection pressure, while high R0 is often found among viruses that are highly stable. The reason for the difference between antigenically diverse viruses with low R0, such as influenza A virus, and antigenically stable viruses with high R0, such as measles virus, is not clear and has been a subject of great interest. Optimization of transmissibility fitness considering intra-host dynamics and inter-host transmissibility was shown to result in strategies for tradeoff between transmissibility and diversity. The nature of transmission, targeting either a naïve children population or an adult population with partial immunity, has been proposed as a contributing factor for the difference in the strategies used by the two groups of viruses. The R0 determines the levels of threshold heard immunity. Lower R0 requires lower herd immunity to terminate an outbreak. Therefore, it can be assumed that the outbreak saturation can be reached more readily when the R0 is low. In addition, one may assume that when the outbreak saturation is reached, herd immunity may provide a strong positive selection pressure that could possibly result in an occurrence of escape mutants. Studies of these hypotheses will give us an important insight into viral evolution. This review discusses the above hypotheses as well as some possible mechanistic explanation for the difference in transmission efficiency of viruses.
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