ArticlePLoS computational biology2010
Informing optimal environmental influenza interventions: how the host, agent, and environment alter dominant routes of transmission.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- Modeling airborne transmission of viral genome using computational fluid dynamics simulation: A case study for SARS-CoV-2 virus.Journal of environmental health science & engineering · 2025Article
- Air Pollution and Influenza Incidence: Evidence from Highly Polluted Countries.Iranian journal of public health · 2025Article
- Assessing ventilation through ambient carbon dioxide concentrations across multiple healthcare levels in Ghana.PLOS global public health · 2024Article
- Environmental detection and spreading of mpox in healthcare settings: a narrative review.Frontiers in microbiology · 2023Review
- Geographical characteristics and influencing factors of the influenza epidemic in Hubei, China, from 2009 to 2019.PloS one · 2023Article
- Meteorological factors' effects on COVID-19 show seasonality and spatiality in Brazil.Environmental research · 2022Article
- The Influence of COVID-19 on Influenza and Respiratory Syncytial Virus Activities.Infectious disease reports · 2022Article
- Cold chain and severe acute respiratory syndrome coronavirus 2 transmission: a review for challenges and coping strategies.Medical review (2021) · 2022Review
- Biofilms and Coronavirus Reservoirs: a Perspective Review.Applied and environmental microbiology · 2021Review
- Transmissibility and transmission of respiratory viruses.Nature reviews. Microbiology · 2021Review
- Rationale and Criteria for a COVID-19 Model Framework.Viruses · 2021Article
- A dynamic model for the COVID-19 with direct and indirect transmission pathways.Mathematical methods in the applied sciences · 2021Article
- Ambient air pollution, meteorology, and COVID-19 infection in Korea.Journal of medical virology · 2021Article
- Occupational exposure of health care personnel to SARS-CoV-2 particles in the intensive care unit of Tehran hospital.International journal of environmental science and technology : IJEST · 2021Article
- Integrated environment-occupant-pathogen information modeling to assess and communicate room-level outbreak risks of infectious diseases.Building and environment · 2021Article
- Current understanding of the surface contamination and contact transmission of SARS-CoV-2 in healthcare settings.Environmental chemistry letters · 2021Review
- The use of copper to help prevent transmission of SARS-coronavirus and influenza viruses. A general review.Diagnostic microbiology and infectious disease · 2020Review
- Potential link between compromised air quality and transmission of the novel corona virus (SARS-CoV-2) in affected areas.Environmental research · 2020Review
- Global to USA County Scale Analysis of Weather, Urban Density, Mobility, Homestay, and Mask Use on COVID-19.International journal of environmental research and public health · 2020Article
- Weathering the pandemic: How the Caribbean Basin can use viral and environmental patterns to predict, prepare, and respond to COVID-19.Journal of medical virology · 2020Review
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
No grant is acknowledged in the PubMed record.
Abstract
Influenza can be transmitted through respirable (small airborne particles), inspirable (intermediate size), direct-droplet-spray, and contact modes. How these modes are affected by features of the virus strain (infectivity, survivability, transferability, or shedding profiles), host population (behavior, susceptibility, or shedding profiles), and environment (host density, surface area to volume ratios, or host movement patterns) have only recently come under investigation. A discrete-event, continuous-time, stochastic transmission model was constructed to analyze the environmental processes through which a virus passes from one person to another via different transmission modes, and explore which factors increase or decrease different modes of transmission. With the exception of the inspiratory route, each route on its own can cause high transmission in isolation of other modes. Mode-specific transmission was highly sensitive to parameter values. For example, droplet and respirable transmission usually required high host density, while the contact route had no such requirement. Depending on the specific context, one or more modes may be sufficient to cause high transmission, while in other contexts no transmission may result. Because of this, when making intervention decisions that involve blocking environmental pathways, generic recommendations applied indiscriminately may be ineffective; instead intervention choice should be contextualized, depending on the specific features of people, virus strain, or venue in question.
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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.