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- Child low-level lead exposure (1)
- Cognitive biases and prospect theory (1)
- DFBETAS (1)
- Epidemic communication (1)
- Influential Observations (1)
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- Intraclass Correlation Coefficient (1)
- Medical data collection (1)
- Message transmission with priority (1)
- Objective and subjective parameters (1)
- Observer dependent model (1)
- One-way random effects model (1)
- Perception term(using prospect theory)in lotka-volterra epidemiology equations (1)
- Prevention of Infectious disease spread (1)
- Priority based transmission (1)
- Repeated blood pressure measurements (1)
- Simulation of disease spread (1)
- Transmission prioritization (1)
- Variance components model (1)
- Wireless data collection (1)
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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
A Bland–Altman Comparison Of The Lead Care® System And Inductively Coupled Plasma Mass Spectrometry For Detecting Low-Level Lead In Child Whole Blood Samples, Christina Sobin, Tanner Schaub, Natali Parisi, Eva De La Riva
A Bland–Altman Comparison Of The Lead Care® System And Inductively Coupled Plasma Mass Spectrometry For Detecting Low-Level Lead In Child Whole Blood Samples, Christina Sobin, Tanner Schaub, Natali Parisi, Eva De La Riva
Christina Sobin, Ph.D.
Chronic childhood lead exposure, yielding blood lead levels consistently below 10 μg/dL, remains a major public health concern. Low neurotoxic effect thresholds have not yet been established. Progress requires accurate, efficient, and cost-effective methods for testing large numbers of children. The LeadCare® System (LCS) may provide one ready option. The comparability of this system to the “gold standard” method of inductively coupled plasma mass spectrometry (ICP-MS) for the purpose of detecting blood lead levels below 10 μg/dL has not yet been examined. Paired blood samples from 177 children ages 5.2–12.8 years were tested with LCS and ICP-MS. Triplicate repeat tests …
Identifying Influential Observations Through The Intraclass Correlation Coefficient, Angel De Jesus Davalos
Identifying Influential Observations Through The Intraclass Correlation Coefficient, Angel De Jesus Davalos
Open Access Theses & Dissertations
In this thesis, we analyze the performance of adapting the DFBETA statistic for identifying influential observations on the intraclass correlation coefficient under the assumptions of the one-way random effects model. Additionally, we introduce an approach for transforming negative intraclass correlation coefficient estimation values using the method of moments estimator. We apply this method on a data set of repeated blood pressure measurements, after which we will investigate implications of identifying influential observations.
A Deadline-Driven Epidemic Data Collection Protocol Suitable For Tracking Interpersonnel Rendezvous, Avranil Tah
A Deadline-Driven Epidemic Data Collection Protocol Suitable For Tracking Interpersonnel Rendezvous, Avranil Tah
Open Access Theses & Dissertations
This thesis describes a peer-to-peer wireless data collection algorithm that uses epidemic communication to propagate time-sensitive sequentially sampled data records from sensors toward infrastructure connected upload stations via mobile data mules. These records are labeled with sequence numbers and delivery deadlines, and are transmitted in sequential order. Delivery deadlines enable transmission prioritization and trigger alarms warning of violations.
The sequential ordering of records simplifies the protocols transmission-control and garbage collection mechanisms: only two monotonically increasing scalar sequence indices associated with a particular sensor must be exchanged between peers prior to selecting which records need to be communicated. One of these …
Observer-Dependent Model For Analyzing Subjective Parameters In Epidemiology, Milad Zarei
Observer-Dependent Model For Analyzing Subjective Parameters In Epidemiology, Milad Zarei
Open Access Theses & Dissertations
Although medical technologies for preventing the contagion and spread of infectious diseases have improved steadily throughout the last century, new infectious diseases are still emerging and spreading swiftly. The modeling of infectious disease spread is crucial in addressing the lack of predictive ability in epidemiology. Managing the spread of infectious diseases requires processing quantitative epidemiological data and the ability to capture the dynamics of the infectious disease in order to provide a measure of control.
In this thesis, I have introducing cognitive biases in diseases spread modeling. For the first time, to the author's knowledge, the human subjective experience has …