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1.
J Aerosol Sci ; 171: 106166, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-2268772

ABSTRACT

Elucidating the aerosol dynamics in the pulmonary acinar region is imperative for both health risk assessment and inhalation therapy, especially nowadays with the occurrence of the global COVID-19 pandemic. During respiration, the chest's outward elastic recoil and the lungs' inward elastic recoil lead to a change of transmural pressure, which drives the lungs to expand and contract to inhale and expel airflow and aerosol. In contrast to research using predefined wall motion, we developed a four-generation acinar model and applied an oscillatory pressure on the model outface to generate structure deformation and airflow. With such tools at hand, we performed a computational simulation that addressed both the airflow characteristic, structural mechanics, and aerosol dynamics in the human pulmonary acinar region. Our results showed that there is no recirculating flow in the sac. The structural displacement and stress were found to be positively related to the change of model volume and peaked at the end of inspiration. It was noteworthy that the stress distribution on the acinar wall was significantly heterogeneous, and obvious concentrations of stress were found at the junction of the alveoli and the ducts or the junction of the alveoli and alveoli in the sac. Our result demonstrated the effect of breathing cycles and aerosol diameter on deposition fraction and location of aerosols in the size range of 0.1-5 µm. Multiple respiratory cycles were found necessary for adequate deposition or escape of submicron particles while having a negligible influence on the transport of large particles, which were dominated by gravity. Our study can provide new insights into the further investigation of airflow, structural mechanics, and aerosol dynamics in the acinar depth.

2.
Computers in Human Behavior ; : 107522, 2022.
Article in English | ScienceDirect | ID: covidwho-2068764

ABSTRACT

Previous literature gave considerable attention to antecedents of health-risk information seeking, but few elaborated on its cognitive and affective outcomes, and how individual differences may influence this link. Based on a survey (N = 1743) conducted during the COVID-19 pandemic, we seek to interpret the influence of health-risk information seeking on media trust and emotions, and how methods of information processing moderate this link. Results demonstrated that COVID-19-related information seeking from the media decreased the belief that media distort reality, which in turn decreased fear;and increased the belief that media provide validity cues, which further increased calmness. The negative relationship between information seeking and the belief that media distort reality was stronger when heuristic processing was high, while the positive association between information seeking and the belief that media provide validity cues was strong only when systematic processing was low. Results contributed to information seeking studies by identifying the cognitive and affective outcomes of information seeking, and also lent insights to health-risk communication studies by showing how information seeking would increase media trust and positive emotions, and the moderating effect of information processing methods on media effects.

3.
Environ Int ; 162: 107153, 2022 04.
Article in English | MEDLINE | ID: covidwho-1706132

ABSTRACT

Since December 2019, coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a great challenge to the world's public health system. Nosocomial infections have occurred frequently in medical institutions worldwide during this pandemic. Thus, there is an urgent need to construct an effective surveillance and early warning system for pathogen exposure and infection to prevent nosocomial infections in negative-pressure wards. In this study, visualization and construction of an infection risk assessment of SARS-CoV-2 through aerosol and surface transmission in a negative-pressure ward were performed to describe the distribution regularity and infection risk of SARS-CoV-2, the critical factors of infection, the air changes per hour (ACHs) and the viral variation that affect infection risk. The SARS-CoV-2 distribution data from this model were verified by field test data from the Wuhan Huoshenshan Hospital ICU ward. ACHs have a great impact on the infection risk from airborne exposure, while they have little effect on the infection risk from surface exposure. The variant strains demonstrated significantly increased viral loads and risks of infection. The level of protection for nurses and surgeons should be increased when treating patients infected with variant strains, and new disinfection methods, electrostatic adsorption and other air purification methods should be used in all human environments. The results of this study may provide a theoretical reference and technical support for reducing the occurrence of nosocomial infections.


Subject(s)
COVID-19 , SARS-CoV-2 , Aerosols , Humans , Patient Isolators , Risk Assessment
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