scholarly journals Comparison of Two Signal Detection Methods in a Coroner-Based System for near Real-Time Mortality Surveillance

2007 ◽  
Vol 122 (4) ◽  
pp. 521-530 ◽  
Author(s):  
Matthew R. Groenewold
Keyword(s):  
Signal Detection ◽  
Real Time ◽  
Predictive Value ◽  
Outbreak Detection ◽  
Detection Methods ◽  
Surveillance Systems ◽  
Epidemic Threshold ◽  
Threshold Method ◽  
Advantages And Disadvantages ◽  
Mortality Surveillance

Objectives. This article describes and compares the performance characteristics of two approaches to outbreak detection in the context of a coroner-based mortality surveillance system using controlled feature set simulation. Methods. The comparative capabilities of the outbreak detection methods— the Epidemic Threshold and Cusum methods—were assessed by introducing a series of simulated signals, configured as nonoverlapping, three-day outbreaks, into historic surveillance data and assessing their respective performances. Treating each calendar day as a separate observation, sensitivity, predictive value positive, and predictive value negative were calculated for both signal detection methods at various outbreak magnitudes. Their relative performances were also assessed in terms of the overall percentage of outbreaks detected. Results. Both methods exhibited low sensitivity for small outbreaks and low to moderate sensitivity for larger ones. In terms of overall outbreak detection, large outbreaks were detected with moderate to high levels of reliability, while smaller ones were detected with low to moderate reliability for both methods. The Epidemic Threshold method performed significantly better than the Cusum method for overall outbreak detection. Conclusions. The use of coroner data for mortality surveillance has both advantages and disadvantages, the chief advantage being the rapid availability of coroner data compared to vital statistics data, making near real-time mortality surveillance possible. Given the lack of sensitivity and limited outbreak detection reliability of the methods studied, the use of mortality surveillance for early outbreak detection appears to have limited usefulness. If it is used, it should be as an adjuvant in conjunction with other surveillance systems.

Public health impacts of culture independent diagnostic testing in Australia

2017 ◽  
Vol 38 (4) ◽  
pp. 162
Author(s):  
Fiona J May
Keyword(s):  
Public Health ◽  
Health Management ◽  
Diagnostic Testing ◽  
Primary Source ◽  
Outbreak Detection ◽  
Surveillance Systems ◽  
Advantages And Disadvantages ◽  
Testing Protocol ◽  
Culture Independent ◽  
The Impact

Culture independent diagnostic tests (CIDT) for detection of pathogens in clinical specimens have become widely adopted in Australian pathology laboratories. Pathology laboratories are the primary source of notification of pathogens to state and territory surveillance systems. Monitoring and analysis of surveillance data is integral to guiding public health actions to reduce the incidence of disease and respond to outbreaks. As with any change in testing protocol, the advantages and disadvantages of the change from culture based testing to culture independent testing need to be weighed up and the impact on surveillance and outbreak detection assessed. This article discusses the effect of this change in testing on surveillance and public health management of pathogens in Australia, with specific focus on gastrointestinal pathogens.

scholarly journals Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3995 ◽  
Author(s):  
Yaoguang Wei ◽  
Yisha Jiao ◽  
Dong An ◽  
Daoliang Li ◽  
Wenshu Li ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Real Time ◽  
Optical Detection ◽  
Oxygen Sensors ◽  
Detection Methods ◽  
Future Research ◽  
Advantages And Disadvantages ◽  
Oxygen Detection ◽  
Detection Technology ◽  
Intelligent Technology

Dissolved oxygen is an important index to evaluate water quality, and its concentration is of great significance in industrial production, environmental monitoring, aquaculture, food production, and other fields. As its change is a continuous dynamic process, the dissolved oxygen concentration needs to be accurately measured in real time. In this paper, the principles, main applications, advantages, and disadvantages of iodometric titration, electrochemical detection, and optical detection, which are commonly used dissolved oxygen detection methods, are systematically analyzed and summarized. The detection mechanisms and materials of electrochemical and optical detection methods are examined and reviewed. Because external environmental factors readily cause interferences in dissolved oxygen detection, the traditional detection methods cannot adequately meet the accuracy, real-time, stability, and other measurement requirements; thus, it is urgent to use intelligent methods to make up for these deficiencies. This paper studies the application of intelligent technology in intelligent signal transfer processing, digital signal processing, and the real-time dynamic adaptive compensation and correction of dissolved oxygen sensors. The combined application of optical detection technology, new fluorescence-sensitive materials, and intelligent technology is the focus of future research on dissolved oxygen sensors.

scholarly journals The importance of age-specific data in routine syndromic surveillance

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Roger Morbey ◽  
Alex J. Elliot ◽  
Gillian E. Smith
Keyword(s):  
Public Health ◽  
Hospital Admissions ◽  
Age Distribution ◽  
Age Groups ◽  
Health Indicators ◽  
Older Age ◽  
Outbreak Detection ◽  
Detection Methods ◽  
Surveillance Systems ◽  
Wide Range

ObjectiveTo investigate whether aberration detection methods for syndromicsurveillance would be more useful if data were stratified by age band.IntroductionWhen monitoring public health incidents using syndromicsurveillance systems, Public Health England (PHE) uses the ageof the presenting patient as a key indicator to further assess theseverity, impact of the incident, and to provide intelligence on thelikely cause. However the age distribution of cases is usually notconsidered until after unusual activity has been identified in the all-ages population data. We assessed whether monitoring specific agegroups contemporaneously could improve the timeliness, specificityand sensitivity of public health surveillance.MethodsFirst, we examined a wide range of health indicators from the PHEsyndromic surveillance systems to identify for further study thosewith the greatest seasonal variation in the age distribution of cases.Secondly, we examined the identified indicators to ascertain whetherany age bands consistently lagged behind other age bands. Finally,we applied outbreak detection methods retrospectively to age specificdata, identifying periods of increased activity that were only detectedor detected earlier when age-specific surveillance was used.ResultsSeasonal increases in respiratory indicators occurred first inyounger age groups, with increases in children under 5 providingearly warning of subsequent increases occurring in older age groups.Also, we found age specific indicators improved the specificity ofsurveillance using indicators relating to respiratory and eye problems;identifying unusual activity that was less apparent in the all-agespopulation.ConclusionsRoutine surveillance of respiratory indicators in young childrenwould have provided early warning of increases in older age groups,where the burden on health care usage, e.g. hospital admissions, isgreatest. Furthermore this cross-correlation between ages occurredconsistently even though the age distribution of the burden ofrespiratory cases varied between seasons. Age specific surveillancecan improve sensitivity of outbreak detection although all-agesurveillance remains more powerful when case numbers are low.

Isothermal Target and Probe Amplification Assay for the Real-Time Rapid Detection of Staphylococcus aureus

2015 ◽  
Vol 78 (4) ◽  
pp. 723-727 ◽  
Author(s):  
HYEWON SHIN ◽  
MINHWAN KIM ◽  
EUNJU YOON ◽  
GYOUNGWON KANG ◽  
SEUNGYU KIM ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Real Time ◽  
Rapid Detection ◽  
Food Poisoning ◽  
Detection Methods ◽  
Economic Losses ◽  
Fluorescence Detector ◽  
The Real ◽  
Robust Detection ◽  
Advantages And Disadvantages

Staphylococcus aureus, the species most commonly associated with staphylococcal food poisoning, is one of the most prevalent causes of foodborne disease in Korea and other parts of the world, with much damage inflicted to the health of individuals and economic losses estimated at $120 million. To reduce food poisoning outbreaks by implementing prevention methods, rapid detection of S. aureus in foods is essential. Various types of detection methods for S. aureus are available. Although each method has advantages and disadvantages, high levels of sensitivity and specificity are key aspects of a robust detection method. Here, we describe a novel real-time isothermal target and probe amplification (iTPA) method that allows the rapid and simultaneous amplification of target DNA (the S. aureus nuc gene) and a fluorescence resonance energy transfer–based signal probe under isothermal conditions at 61°C or detection of S. aureus in real time. The assay was able to specifically detect all 91 S. aureus strains tested without nonspecific detection of 51 non–S. aureus strains. The real-time iTPA assay detected S. aureus at an initial level of 101 CFU in overnight cultures of preenriched food samples (kiwi dressing, soybean milk, and custard cream). The advantage of this detection system is that it does not require a thermal cycler, reducing the cost of the real-time PCR and its footprint. Combined with a miniaturized fluorescence detector, this system can be developed into a simplified quantitative hand-held real-time device, which is often required. The iTPA assay was highly reliable and therefore may be used as a rapid and sensitive means of identifying S. aureus in foods.

scholarly journals Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 416
Author(s):  
Sama Molaie ◽  
Paolo Lino
Keyword(s):  
Particulate Matter ◽  
Human Health ◽  
Real Time ◽  
Optical Sensors ◽  
Optical Devices ◽  
Detection Sensitivity ◽  
Detection Methods ◽  
Advantages And Disadvantages ◽  
Particulate Matter Concentration ◽  
Matter Concentration

Due to the adverse effects on human health and the environment, air quality monitoring, specifically particulate matter (PM), has received increased attention over the last decades. Most of the research and policy actions have been focused on decreasing PM pollution and the development of air monitoring technologies, resulting in a decline of total ambient PM concentrations. For these reasons, there is a continually increasing interest in mobile, low-cost, and real-time PM detection instruments in both indoor and outdoor environments. However, to the best of the authors’ knowledge, there is no recent literature review on the development of newly designed mobile and compact optical PM sensors. With this aim, this paper gives an overview of the most recent advances in mobile optical particle counters (OPCs) and camera-based optical devices to detect particulate matter concentration. Firstly, the paper summarizes the particulate matter effects on human health and the environment and introduces the major particulate matter classes, sources, and characteristics. Then, it illustrates the different theories, detection methods, and operating principles of the newly developed portable optical sensors based on light scattering (OPCs) and image processing (camera-based sensors), including their advantages and disadvantages. A discussion concludes the review by comparing different novel optical devices in terms of structures, parameters, and detection sensitivity.

scholarly journals Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis (Preprint)

2018 ◽  
Author(s):  
Marie-Laure Kürzinger ◽  
Stéphane Schück ◽  
Nathalie Texier ◽  
Redhouane Abdellaoui ◽  
Carole Faviez ◽  
...  
Keyword(s):  
Signal Detection ◽  
Predictive Value ◽  
Empirical Bayes ◽  
Geometric Mean ◽  
Area Under The Curve ◽  
Detection Methods ◽  
Operating Characteristics ◽  
Web Based ◽  
Spontaneous Reports ◽  
Reporting Systems

BACKGROUND While traditional signal detection methods in pharmacovigilance are based on spontaneous reports, the use of social media is emerging. The potential strength of Web-based data relies on their volume and real-time availability, allowing early detection of signals of disproportionate reporting (SDRs). OBJECTIVE This study aimed (1) to assess the consistency of SDRs detected from patients’ medical forums in France compared with those detected from the traditional reporting systems and (2) to assess the ability of SDRs in identifying earlier than the traditional reporting systems. METHODS Messages posted on patients’ forums between 2005 and 2015 were used. We retained 8 disproportionality definitions. Comparison of SDRs from the forums with SDRs detected in VigiBase was done by describing the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, receiver operating characteristics curve, and the area under the curve (AUC). The time difference in months between the detection dates of SDRs from the forums and VigiBase was provided. RESULTS The comparison analysis showed that the sensitivity ranged from 29% to 50.6%, the specificity from 86.1% to 95.5%, the PPV from 51.2% to 75.4%, the NPV from 68.5% to 91.6%, and the accuracy from 68% to 87.7%. The AUC reached 0.85 when using the metric empirical Bayes geometric mean. Up to 38% (12/32) of the SDRs were detected earlier in the forums than that in VigiBase. CONCLUSIONS The specificity, PPV, and NPV were high. The overall performance was good, showing that data from medical forums may be a valuable source for signal detection. In total, up to 38% (12/32) of the SDRs could have been detected earlier, thus, ensuring the increased safety of patients. Further enhancements are needed to investigate the reliability and validation of patients’ medical forums worldwide, the extension of this analysis to all possible drugs or at least to a wider selection of drugs, as well as to further assess performance against established signals.

scholarly journals Enhancing Epidemic Detection Using Syndromic Surveillance and Early Notification Methods

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Tippa Wongstitwilairoong ◽  
Saranath Lawpoolsri Niyom ◽  
Ngamphol Soonthornworasiri ◽  
Jariyanart Gaywee ◽  
Jaranit Kaewkungwal
Keyword(s):  
Early Warning ◽  
Predictive Value ◽  
Syndromic Surveillance ◽  
Detection Method ◽  
Disease Outbreaks ◽  
High Sensitivity ◽  
Disease Outbreak ◽  
Surveillance Data ◽  
Outbreak Detection ◽  
Detection Methods

ObjectiveThis paper presents an investigation using early notification methods to enhancing epidemic detection in syndromic surveillance data from royal Thai army in Thailand.IntroductionEarly Notification Detection Systems have taken a critical role in providing early notice of disease outbreaks. To improve the detection methods for disease outbreaks, many detection methods have been created and implemented. However, there is limited information on the effectively of syndromic surveillance in Thailand. Knowing the performance, strengths and weakness of these surveillance systems in providing early warning for outbreaks will increase disease outbreak detection capacity in Thailand.MethodsThis study describes and compares the capabilities of various outbreak detection algorithms using 37,043 unique syndromic daily reports based on medical information from both civilian and military personnel from the Unit Base Surveillance of Royal Thai Army (RTA) along the Thai-Myanmar and Thai-Cambodia boarder areas. Traditional epidemic detection method: mean plus two SD were compared with algorithms for early notification methods and which included regression, regression/EWMA/Poisson, CDC-C1, CDC-C2 and CDC-C3. Early notification and epidemic detection methods were compared according to their ability to generate alert notifications. Sensitivity, specificity, positive predictive value (PPV), negative predictive value and overall accuracy to detect or predict disease outbreaks were estimated.ResultsThis study shows that the preliminary results are promising for epidemic detection by early notification methods in syndromic surveillance in Thailand. The majority of syndromic records were categorized into 12 symptoms. The three most common symptoms were respiratory, fever and gastrointestinal illness (11,501; 9,549 and 4,498 respectively). The results from the early notification systems were analyzed and their performances were compared with traditional epidemic detection method according to their ability to generate early warning alerts for the 3 symptoms. In our study regression/EWMA/Poisson method had higher specificity across the 3 symptoms (94.5%, 94.7% and 95.9% respectively), but generated lower sensitivity (22.6%, 40.4% and 23.1%). CDC-C1, CDC-C2 and CDC-C3 algorithms are easy to understand and are widely used. CDC-C3 had higher sensitivity to detect gradual disease outbreak effects (64.2%, 70.2% and 57.7%), but it is known to produce higher alarm rates/false positive signals.ConclusionsWithin the syndromic surveillance data of RTA, the CDC algorithm is the best chosen to use in the syndromic system due to being easy to understand and implement in a system with high sensitivity. CDC-C2 is the best early notification detection method due to its high sensitivity and PPV. However, CDC-C3 is shows the highest sensitivity, but exhibits the lowest specificity and PPV for all symptoms including a high alarm rates. To be useful, early notification detection methods must have acceptable operating characteristics. Consequently, we should select the most appropriate algorithm method to explain the data well and in order to improve detection of outbreaks. The comparison methods used in this study may be useful for testing other proposed alert threshold methods and may have further applications for other populations and other diseases.References1. Chretien JP, Burkom HS, Sedyaningsih ER, Larasati RP, et al. Syndromic Surveillance: Adapting Innovations to Developing Settings. PLoS Medicine 2008; vol 5: page 1-6.2. Burkom HS, Elbert Y, Magruder SF, Najmi AH, Peter W, Thompson MW. Developments in the roles, features, and evaluation of alerting algorithms for disease outbreak monitoring. Johns Hopkins APL Technical Digest 2008; vol 27: page 313.

Research of network attacks detection methods

2019 ◽  
pp. 55-59
Author(s):  
P. V. Frolov ◽  
E. V. Vershinin ◽  
S. A. Medvedeva
Keyword(s):  
Comparative Analysis ◽  
Intrusion Detection ◽  
Real Time ◽  
Suitable Method ◽  
Detection Methods ◽  
Network Attacks ◽  
Advantages And Disadvantages ◽  
Initial Analysis ◽  
F Measure

This paper reviews existing methods of network attacks detecting. A brief description of methods, their main features, advantages and disadvantages are given in accordance with the generally accepted classification of detection methods. During the initial analysis evidently inappropriate methods for this study were pointed out. Criteria for estimation of suitable methods for detecting cyberattacks in real time are given (recal, precision, F-measure). Each suitable method was estimated in accordance with the criteria. The comparative analysis of intrusion detection methods was carried out based on the obtained estimates. The most effective methods for solving problems of detecting cyberattacks in real time were chosen. A brief description of further research is given, which is based on the obtained results.

scholarly journals Review of Underwater Cable Shape Detection

2016 ◽  
Vol 33 (3) ◽  
pp. 597-606 ◽  
Author(s):  
Chunying Xu ◽  
Jiawang Chen ◽  
Dongxu Yan ◽  
Jian Ji
Keyword(s):  
Real Time ◽  
Detection Methods ◽  
Multisensor Fusion ◽  
Shape Detection ◽  
Current Development ◽  
Reliable System ◽  
Advantages And Disadvantages ◽  
Marine Engineering ◽  
Underwater Cables ◽  
Fusion Detection

AbstractUnderwater cables play vital roles in marine engineering because they provide power and communication connections from the shore to an increasing number of sea installations. To ensure the system is operating reliably and continuously, it is necessary to detect the shapes of underwater cables in real time. However, this task is difficult to accomplish because the underwater cables are located in a dynamic and complicated subsea environment, which can cause changes in position, depth, and visibility.In this report, the current development of underwater cable shape detection methods, including visual, acoustic, magnetic detection, and multisensor fusion detection, and the advantages and disadvantages are described and analyzed. Furthermore, the disadvantages of these methods are addressed, which, based on survey platforms with high cost, include a long detection period and the failure to reveal emergencies. Then, the need to construct a simple and reliable system to detect the shapes of underwater cables is highlighted, and one possible solution based on bend sensors embedded in underwater cables is discussed.

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