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The Covid-19 pandemic has taken millions of lives, demonstrating the tragedy and disruption of respiratory diseases, and how difficult they can be to manage. However, there is still significant debate in the scientific community as to which…

Although close contact represents an important contagion route, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close contact…

Identifying the relative importance of the different transmission routes of the SARS-CoV-2 virus is an urgent research priority. To that end, the different transmission routes, and their role in determining the evolution of the Covid-19…

种群与进化 · 定量生物学 2020-12-08 Swetaprovo Chaudhuri , Saptarshi Basu , Abhishek Saha

The coronavirus disease (COVID-19) pandemic has changed our lives and still poses a challenge to science. Numerous studies have contributed to a better understanding of the pandemic. In particular, inhalation of aerosolised pathogens has…

种群与进化 · 定量生物学 2022-09-02 Simon Rahn , Marion Gödel , Gerta Köster , Gesine Hofinger

The question of how SARS-CoV-2 is transmitted remains surprisingly controversial today, especially with reference to airborne transmission. In fact, despite a large body of scientific evidence, health and regulatory authorities still…

医学物理 · 物理学 2021-10-07 G. Buonanno , A. Robotto , E. Brizio , L. Morawska , A. Civra , F. Corino , D. Lembo , G. Ficco , L. Stabile

Despite the availability of effective vaccines, the persistence of SARS-CoV-2 suggests that co-circulation with other pathogens and resulting multi-epidemics may become increasingly frequent. To better forecast and control the risk of such…

Severe Acute Respiratory Syndrome-CoronaVirus 2 (SARS-CoV2) caused the ongoing pandemic. This pandemic devastated the world by killing more than a million people, as of October 2020. It is imperative to understand the transmission dynamics…

生物物理 · 物理学 2021-03-24 Caglar Koca , Meltem Civas , Selin M. Sahin , Onder Ergonul , Ozgur B. Akan

The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe…

种群与进化 · 定量生物学 2024-08-20 Zi Hian Tan , Kian Yan Yong , Jian-Jun Shu

The rapid emergence and the disastrous impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on public health, societies, and economies around the world has created an urgent need for understanding the pathways…

种群与进化 · 定量生物学 2023-01-18 Sebastian Lotter , Lukas Brand , Maximilian Schäfer , Robert Schober

Viral transmission pathways have profound implications for public safety; it is thus imperative to establish a complete understanding of viable infectious avenues. Mounting evidence suggests SARS-CoV-2 can be transmitted via the air;…

种群与进化 · 定量生物学 2021-03-31 John M. Kolinski , Tobias M. Schneider

Short-range exposure to airborne virus-laden respiratory droplets is now acknowledged as an effective transmission route of respiratory diseases, as exemplified by COVID-19. In order to assess the risks associated with this pathway in…

生物物理 · 物理学 2022-08-08 Simon Mendez , Willy Garcia , Alexandre Nicolas

Pathogens like the SARS-CoV-2 are transmitted not only through violent expiratory events like coughing, but also through routine activities like breathing/speaking/singing. We perform direct numerical simulations of the turbulent transport…

流体动力学 · 物理学 2021-07-16 Rohit Singhal , S. Ravichandran , Rama Govindarajan , Sourabh S. Diwan

Although previous infection and vaccination provide protection against SARS-CoV-2 infection, both reinfection and breakthrough infection are possible events whose occurrence would increase with time after first exposure to the antigen and…

种群与进化 · 定量生物学 2022-06-07 Ariel Félix Gualtieri , Carolina de la Cal , Augusto Francisco Toma , Pedro Hecht

In this work, we derive a system of Boltzmann-type equations to describe the spread of SARS-CoV-2 virus at the microscopic scale, that is by modeling the human-to-human mechanisms of transmission. To this end, we consider two populations,…

种群与进化 · 定量生物学 2024-02-09 Marzia Bisi , Silvia Lorenzani

The dose-response model has been widely used for quantifying the risk of infection of airborne diseases like COVID-19. The model has been used in the room-average analysis of infection risk and analysis using passive scalars as a proxy for…

定量方法 · 定量生物学 2022-09-09 Rahul Bale , Akiyoshi Iida , Masashi Yamakawa , ChungGang Li , Makoto Tsubokura

Preventive measures to reduce infection are needed to combat the COVID-19 pandemic and prepare for a possible endemic phase. Current prophylactic vaccines are highly effective to prevent disease but lose their ability to reduce viral…

There is a growing interest in modeling and analyzing the spread of diseases like the SARS-CoV-2 infection using stochastic models. These models are typically analyzed quantitatively and are not often subject to validation using formal…

种群与进化 · 定量生物学 2022-11-02 Marco Roveri , Franc Ivankovic , Luigi Palopoli , Daniele Fontanelli

This work aims to assess the risks of Covid-19 disease spread in diverse daily-life situations (referred to as scenarios) involving crowds of maskless pedestrians, mostly outdoors. More concretely, we develop a method to infer the global…

物理与社会 · 物理学 2021-11-04 Willy Garcia , Simon Mendez , Baptiste Fray , Alexandre Nicolas

The present work shows that it is possible to analytically solve a general model to explain the transmission dynamics of SARS-CoV-2. First, the within-host model is described, and later a between-host model, where the coupling between them…

种群与进化 · 定量生物学 2023-08-07 Raul Isea

Airborne respiratory diseases such as SARS-CoV-2 (COVID-19) pose significant challenges for public transportation. Several recent outbreaks of SARS-CoV-2 indicate the high risk of transmission among passengers on public buses if special…

流体动力学 · 物理学 2021-02-03 Zhihang Zhang , Taehoon Han , Kwang Hee Yoo , Jesse Capecelatro , Andre Boehman , Kevin Maki
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