scholarly journals Exploring the potentials of personalized ventilation in mitigating airborne infection risk for two closely ranged occupants with different risk assessment models

2021 ◽  
pp. 111531
Author(s):  
Wenbing Liu ◽  
Li Liu ◽  
Chunwen Xu ◽  
Linzhi Fu ◽  
Yi Wang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Infection Risk ◽  
Airborne Infection ◽  
Risk Assessment Models ◽  
Personalized Ventilation

scholarly journals Prediction infection risk on the basis of weather-related factors and Erwinia amylovora colonization in apple and pear flowers

2004 ◽  
Vol 10 (2) ◽  
Author(s):  
T. Bubán ◽  
E. Rutkai ◽  
L. Dorgai ◽  
S. V. Thomson
Keyword(s):  
Risk Assessment ◽  
Risk Prediction ◽  
Erwinia Amylovora ◽  
Prediction Models ◽  
Acute Infection ◽  
Infection Risk ◽  
Weather Data ◽  
Computer Assisted ◽  
Inoculum Potential ◽  
Risk Assessment Models

Current infection risk prediction models utilize environmental parameters and field records, but do not take into account the estimated inoculum potential within the orchard. The object of this study was to survey the accuracy of three simple prediction methods under Hungarian climatic conditions, which could easily be used by the farmers. We also tested whether the accuracy of infection risk predictions can be improved by taking into consideration the incidence and/or rate of flower colonization by Erwinia amylovora. After preliminary investigations in 1999-2001, data concerning the weather-related infection risk were recorded in 5 apple and 1 pear orchards in 2002, and in 12 apple and I pear orchards in 2003. The weather data were processed by the easy-to-use risk assessment models of the mean temperature prediction line (MTL), Smith's Cougarblight 98C and Billing's integrated system (BIS), and by the MaryblytTM 4.3 computer-assisted model for reference. The population size of E. amylovora in the flower samples was estimated within an order of magnitude by PCR. For all years and orchards tested, Maryblyt indicated 35 days on which there was an acute infection risk. The same days were indicated by all 3 methods in 23 cases (66%), 8 days were indicated by 2 methods (23%) and 4 days were indicated by 1 method only. A similarly good correlation was found for prediction of the date of the first massive infection risk: in 2003, for instance, there was a perfectly consistent prediction by all 4 models in 9 of the 13 participating orchards. A coincidental forecast was provided by 3 of the 4 models in the other 4 orchards. The results indicate that any of the risk assessment models could provide an increased accuracy of the actual infection risk prediction if combined with an estimation of the incidence of Erwinia amylovora colonization in the open flowers. We found no convincing differences in the size of the epiphytic population in flowers of cultivars possessing high or low susceptibility to Erwinia amylovora. We conclude that the easy-to-use methods tested could be used by the fanners to recognize weather-related risks, especially when coupled with an estimation of the proportion of the pathogen-infested flowers. This local prediction would provide rapid information (faster than the regional forecast systems) specifically for a given orchard.

scholarly journals Effects of personalized ventilation interventions on airborne infection risk and transmission between occupants

2020 ◽  
Vol 180 ◽  
pp. 107008 ◽  
Author(s):  
Chunwen Xu ◽  
Xiongxiong Wei ◽  
Li Liu ◽  
Li Su ◽  
Wenbing Liu ◽  
...  
Keyword(s):  
Infection Risk ◽  
Airborne Infection ◽  
Personalized Ventilation

VTE risk assessment in cancer

2016 ◽  
Vol 07 (01) ◽  
pp. 20-25
Author(s):  
I. Pabinger ◽  
C. Ay
Keyword(s):  
Risk Assessment ◽  
Cancer Patients ◽  
Medical Oncology ◽  
Clinical Importance ◽  
Cancer Surgery ◽  
Ambulatory Setting ◽  
Oncology Patients ◽  
Related Factors ◽  
Risk Assessment Models ◽  
Increased Risk

SummaryVenous thromboembolism (VTE) in patients with cancer is associated with an increased morbidity and mortality, and its prevention is of major clinical importance. However, the VTE rates in the cancer population vary between 0.5% - 20%, depending on cancer-, treatment- and patient-related factors. The most important contributors to VTE risk are the tumor entity, stage and certain anticancer treatments. Cancer surgery represents a strong risk factor for VTE, and medical oncology patients are at increased risk of developing VTE, especially when receiving chemotherapy or immunomodulatory drugs. Also biomarkers have been investigated for their usefulness to predict risk of VTE (e.g. elevated leukocyte and platelet counts, soluble P-selectin, D-dimer, etc.). In order to identify cancer patients at high risk of VTE and to improve risk stratification, risk assessment models have been developed, which contain both clinical parameters and biomarkers. While primary thromboprophylaxis with lowmolecular- weight-heparin (LMWH) is recommended postoperatively for a period of up to 4 weeks after major cancer surgery, the evidence is less clear for medical oncology patients. Thromboprophylaxis in hospitalized medical oncology patients is advocated, and is based on results of randomized controlled trials which evaluated the efficacy and safety of LMWH for prevention of VTE in hospitalized medically ill patients. In recent trials the benefit of primary thromboprophylaxis in cancer patients receiving chemotherapy in the ambulatory setting has been investigated. However, at the present stage primary thromboprophylaxis for prevention of VTE in these patients is still a matter of debate and cannot be recommended for all cancer outpatients.

Use of infection risk assessment on admittance to hospital

2015 ◽  
Vol 6 (1) ◽  
pp. 13-17
Author(s):  
Katarzyna Skibińska
Keyword(s):  
Risk Assessment ◽  
Infection Risk

Risk assessment models with functionally different influences on natural and technical systems

2020 ◽  
Vol 89 ◽  
pp. 8-19
Author(s):  
V. A. Minaev ◽  
◽  
N. G. Topolsky ◽  
A. O. Faddeev ◽  
R. O. Stepanov ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Differential Equations ◽  
Research Area ◽  
Practical Implementation ◽  
Model Assessment ◽  
Mathematical Functions ◽  
Effective Response ◽  
Risk Assessment Models ◽  
Technical Systems ◽  
Material Values

Introduction. The complex combination of natural and technogenic factors that lead to dangerous threats to the health and life of the population, as well as to material values, creates a need to develop special mathematical models for risk assessment in the relevant territories. Herewith it is important to take into account the significant differences between these factors. The new areas of research are models that describe natural and technogenic risks using differential equations that reflect different types of functions. The article presents the development of this research area. Goals and objectives. The goal of the article is to create a model for risk assessment in natural and technical systems (PTS), based on taking into account the influences of different natural and technogenic factors on them. Objectives include justification, construction and practical implementation of the mathematical model of risk assessment in the form of differential equations system. Methods include interpretation of the considered influences on PTS in terms of risks and assessment of the dynamic interaction of natural and technogenic factors in the form of inhomogeneous differential equations. Results and discussion. Solutions for models of assessing complex natural and technogenic risks in relation to two cases that differ in NTS are found: functionally different external natural and technogenic influences on PTS, which are understood as their type, in which the effects of both natural and technogenic factors are described by different mathematical functions. Conclusions. The first model considers parabolic (reflecting threats whose intensity gradually decreases with distance from the epicenter) and linear types of influences (reflecting sudden threats). The second model considers parabolic and hyperbolic (reflecting threats, the intensity of which decreases sharply over time) types of influences. It is concluded that it is necessary to create a special computer album of complex influences on the PTS in order to prevent "replay" of various situations and develop the most effective response to emerging dangers from the EMERCOM units and other structures. Key words: model, assessment, natural and technogenic risks, functionally different influences, counteraction, EMERCOM units.

scholarly journals A practical approach for evaluating the strength of knowledge supporting risk assessment models

2020 ◽  
Vol 124 ◽  
pp. 104596 ◽  
Author(s):  
Tasneem Bani-Mustafa ◽  
Zhiguo Zeng ◽  
Enrico Zio ◽  
Dominique Vasseur
Keyword(s):  
Risk Assessment ◽  
Practical Approach ◽  
Risk Assessment Models

Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment

2018 ◽  
Vol 46 (2) ◽  
pp. 185-209 ◽  
Author(s):  
Laurel Eckhouse ◽  
Kristian Lum ◽  
Cynthia Conti-Cook ◽  
Julie Ciccolini
Keyword(s):  
Risk Assessment ◽  
Criminal Justice ◽  
Justice System ◽  
Quantitative Risk Assessment ◽  
Risk Scores ◽  
Risk Models ◽  
Risk Assessment Models ◽  
Final Layer ◽  
The Supreme Court ◽  
Using Data

Scholars in several fields, including quantitative methodologists, legal scholars, and theoretically oriented criminologists, have launched robust debates about the fairness of quantitative risk assessment. As the Supreme Court considers addressing constitutional questions on the issue, we propose a framework for understanding the relationships among these debates: layers of bias. In the top layer, we identify challenges to fairness within the risk-assessment models themselves. We explain types of statistical fairness and the tradeoffs between them. The second layer covers biases embedded in data. Using data from a racially biased criminal justice system can lead to unmeasurable biases in both risk scores and outcome measures. The final layer engages conceptual problems with risk models: Is it fair to make criminal justice decisions about individuals based on groups? We show that each layer depends on the layers below it: Without assurances about the foundational layers, the fairness of the top layers is irrelevant.

scholarly journals Validation of Risk Assessment Models for Predicting the Incidence of Breast Cancer in Korean Women

2014 ◽  
Vol 17 (3) ◽  
pp. 226 ◽  
Author(s):  
Jun Won Min ◽  
Myung-Chul Chang ◽  
Hae Kyung Lee ◽  
Min Hee Hur ◽  
Dong-Young Noh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Assessment ◽  
Korean Women ◽  
Risk Assessment Models
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