ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2021
Fluid dynamics and epidemiology: Seasonality and transmission dynamics.
Article in Physics of fluids (Woodbury, N.Y. : 1994), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Understanding pandemics through molecular gas dynamics.PNAS nexus · 2025Article
- Associations between meteorological factors and COVID-19: a global scoping review.Frontiers in public health · 2024Article
- Public health and expert failure.Public choice · 2023Article
- Seasonality of COVID-19 deaths. Did social restrictions and vaccination actually impact the official reported dynamic of COVID-19 pandemic in Italy?Environmental research · 2022Article
- The effect of relative air humidity on the evaporation timescales of a human sneeze.AIP advances · 2022Article
- COVID-19 pandemic over 2020 (withlockdowns) and 2021 (with vaccinations): similar effects for seasonality and environmental factors.Environmental research · 2022Article
- Airborne magnetic nanoparticles may contribute to COVID-19 outbreak: Relationships in Greece and Iran.Environmental research · 2022Article
- The computational fluid dynamics-based epidemic model and the pandemic scenarios.Physics of fluids (Woodbury, N.Y. : 1994) · 2022Article
- Article
- Airborne virus transmission under different weather conditions.AIP advances · 2022Article
- Article
- Numerical investigation of droplets in a cross-ventilated space with sitting passengers under asymptomatic virus transmission conditions.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- Study of the interactions of sneezing droplets with particulate matter in a polluted environment.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- Stopping the COVID-19 pandemic in dental offices: A review of SARS-CoV-2 transmission and cross-infection prevention.Experimental biology and medicine (Maywood, N.J.) · 2021Review
- Mixing at the interface of the sneezing/coughing phenomena and its effect on viral loading.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- Challenges in simulating and modeling the airborne virus transmission: A state-of-the-art review.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Review
- Reducing indoor virus transmission using air purifiers.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- Multi-population analysis of the Cuban SARS-CoV-2 epidemic transmission before and during the vaccination process.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- Numerical investigation of respiratory drops dynamics released during vocalization.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
- How coronavirus survives for hours in aerosols.Physics of fluids (Woodbury, N.Y. : 1994) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidemic models do not account for the effects of climate conditions on the transmission dynamics of viruses. This study presents the vital relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks over a whole year. Using the data obtained from high-fidelity multi-phase, fluid dynamics simulations, we calculate the concentration rate of Coronavirus particles in contaminated saliva droplets and use it to derive a new Airborne Infection Rate (AIR) index. Combining the simplest form of an epidemiological model, the susceptible-infected-recovered, and the AIR index, we show through data evidence how weather seasonality induces two outbreaks per year, as it is observed with the COVID-19 pandemic worldwide. We present the results for the number of cases and transmission rates for three cities, New York, Paris, and Rio de Janeiro. The results suggest that two pandemic outbreaks per year are inevitable because they are directly linked to what we call weather seasonality. The pandemic outbreaks are associated with changes in temperature, relative humidity, and wind speed independently of the particular season. We propose that epidemiological models must incorporate climate effects through the AIR index.
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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.