A Description on the ARL Force Protection Surveillance System Data Set

2004 ◽  
Author(s):  
Alex L. Chan
Keyword(s):  
Surveillance System ◽  
Data Set ◽  
System Data

Using State Lead Poisoning Surveillance System Data to Assess False Positive Results of Capillary Testing

2007 ◽  
Vol 11 (6) ◽  
pp. 603-610 ◽  
Author(s):  
Meredith K. Anderson ◽  
MaryAnn Amrich ◽  
Kathy L. Decker ◽  
Cynthia A. Mervis
Keyword(s):  
Lead Poisoning ◽  
False Positive ◽  
Surveillance System ◽  
System Data ◽  
Positive Results

AGW manifestations in the Earth neutral atmosphere and ionosphere

2021 ◽  
Author(s):  
Tatiana Syrenova ◽  
Alexander Beletsky
Keyword(s):  
Optical System ◽  
Deep Convection ◽  
Lower Atmosphere ◽  
Automatic Identification ◽  
Complex Data ◽  
Neutral Atmosphere ◽  
Data Set ◽  
Acoustic Gravity Waves ◽  
Wave Disturbances ◽  
System Data

<p>Acoustic gravity waves (AGW) manifestations spread from the lower atmosphere to the upper layers due to processes such as orography, weather fronts, deep convection atmosphere, and vice versa, can form in the upper atmosphere during geomagnetic activity, receiving energy from the magnetosphere. These wave processes can be considered as a dynamic process that transfers energy between different atmospheric and latitudinal regions, therefore it is important to understand their basic parameters and behavior.</p><p>In this work, to study wave disturbances, we used the Keo Sentinel optical system data, designed to record the spatial pattern of the 630 nm emission intensity (emission height 180-300 km). The system is located at the Geophysical Observatory (GPO) of the ISTP SB RAS, near the Tory, Buryatiya, Russia (52<sup>0</sup> N, 103<sup>0</sup> E, height 670 m). The  interference filter transmission half-width is ~ 2 nm. Sight direction - zenith, field of view 145 degrees, exposure time 30-60 s (http://atmos.iszf.irk.ru/ru/data/keo).</p><p>For the analysis, we chose data obtained on clear, moonless nights from 2014 to March 2019. The total number of nights selected for analysis was 71 (~ 491 hours). An algorithm for the wave events and their characteristics automatic identification from the optic data was developed and tested. The approbation was carried out on a data set previously processed manually [Syrenova, Beletsky, 2019]. A comparison was made with traveling ionospheric disturbances (TID) characteristics obtained from the ISTP SB RAS radio-physical complex data [Medvedev et al., 2012].</p><p>The main directions of wave disturbances propagation obtained with automatic optical system data processing - southward (~ 175º) and eastward (~ 90º) - are similar to the TID directions. From the radiophysical complex data, the TID distribution from North to South prevails, the most probable azimuth is ~ 135º during the day, and ~ 205º at night. The most probable values ​​of the wave disturbances propagation velocity obtained as a result of automatic processing are about 80 m/s. These values ​​also accept well with the TID values.</p><p>The main characteristics obtained using the data of the optical and radiophysical complexes agree with each other. Differences in the preferred propagation direction of the recorded wave structures from the KEO Sentinel data from the directions obtained with photometers at the same observation point [Tashchilin, 2010, Podlesny, 2018], probably, associated with different observation heights.</p>

Homicide Epidemic in Cali, Colombia: A Surveillance System Data Analysis, 1993‒2018

2021 ◽  
pp. e1-e8
Author(s):  
Rodrigo Guerrero-Velasco ◽  
Víctor Hugo Muñoz ◽  
Alberto Concha-Eastman ◽  
Álvaro J. Pretel-Meneses ◽  
Maria I. Gutiérrez-Martínez ◽  
...  
Keyword(s):  
Surveillance System ◽  
Epidemiological Surveillance ◽  
Annual Percentage Change ◽  
Regression Analyses ◽  
Joinpoint Regression ◽  
Homicide Rates ◽  
System Data ◽  
The Impact ◽  
Age And Sex ◽  
Epidemiological Surveillance System

Objectives. To examine homicide rates in Cali, Colombia, during the 1993–2018 period, using information derived from an interagency surveillance system. Methods. We used homicide data from Cali’s Epidemiological Surveillance System to examine homicide trends by victim’s age and sex, time, and type of method used. We estimated trend changes and the annual percentage changes using joinpoint regression analyses. Results. Homicide rates per 100 000 inhabitants dropped from 102 in 1993 to 47.8 in 2018. We observed reductions in homicide rates across age and sex groups. Most homicide victims were men aged 20 to 39 years from poor, marginalized areas. Firearms were used in 84.9% of all cases. The average annual percentage change for the entire period was −3.6 (95% confidence interval = −6.7, −0.4). Conclusions. Fluctuations in homicide rates in Cali show a clear epidemic pattern, occurring concurrently with the “crack epidemic” in different countries. Reliable and timely information provided by an Epidemiological Surveillance System allowed opportune formulation of public policies to reduce the impact of violence in Cali. (Am J Public Health. Published online ahead of print June 10, 2021: e1–e8. https://doi.org/10.2105/AJPH.2021.306254 )

Pediatric Equestrian Injuries

PEDIATRICS ◽  
1992 ◽  
Vol 89 (6) ◽  
pp. 1173-1176
Author(s):  
Doris M. Bixby-Hammett
Keyword(s):  
United States ◽  
Surveillance System ◽  
National Park ◽  
National Park Service ◽  
Injury Surveillance System ◽  
Common Area ◽  
Park Service ◽  
System Data ◽  
Using Data ◽  
Service Data

Using data from four sources, horse-related injuries are summarized for persons younger than 25 years of age. Head injury caused 57% of deaths. The upper extremity was the most common area injured, with the next most frequent areas the lower extremity (National Park Service data) and the head (United States Pony Clubs [USPC] data). Injured females outnumbered injured males and had a greater percentage of participants injured (USPC data). Injuries occurred at home in 41% (National Electronic Injury Surveillance System data). USPC figures suggest that greater knowledge may reduce the severity of horse-related injuries. Previous horse-related injury had occurred in 1 of 4 of those injured (USPC data). One third of accidents occurred during lessons (USPC data). Riding instructors should be certified by a recognized organization, and parents should evaluate an instructor's personal riding and their safety records with students. The pediatrician's role should be in counseling parents with children who ride and in offering recommendations for safety to governing boards of youth horse activities.

scholarly journals Evaluation of Active Mortality Surveillance System Data for Monitoring Hurricane-Related Deaths—Texas, 2008

2012 ◽  
Vol 27 (4) ◽  
pp. 392-397 ◽  
Author(s):  
Ekta Choudhary ◽  
David F. Zane ◽  
Crystal Beasley ◽  
Russell Jones ◽  
Araceli Rey ◽  
...  
Keyword(s):  
Surveillance System ◽  
Vital Statistics ◽  
Mortality Data ◽  
System Evaluation ◽  
Sufficient Information ◽  
Hurricane Ike ◽  
Case Definitions ◽  
System Data ◽  
Mortality Surveillance ◽  
Surveillance System Evaluation

AbstractIntroductionThe Texas Department of State Health Services (DSHS) implemented an active mortality surveillance system to enumerate and characterize hurricane-related deaths during Hurricane Ike in 2008. This surveillance system used established guidelines and case definitions to categorize deaths as directly, indirectly, and possibly related to Hurricane Ike.ObjectiveThe objective of this study was to evaluate Texas DSHS' active mortality surveillance system using US Centers for Disease Control and Prevention's (CDC) surveillance system evaluation guidelines.MethodsUsing CDC's Updated Guidelines for Surveillance System Evaluation, the active mortality surveillance system of the Texas DSHS was evaluated. Data from the active mortality surveillance system were compared with Texas vital statistics data for the same time period to estimate the completeness of reported disaster-related deaths.ResultsFrom September 8 through October 13, 2008, medical examiners (MEs) and Justices of the Peace (JPs) in 44 affected counties reported deaths daily by using a one-page, standardized mortality form. The active mortality surveillance system identified 74 hurricane-related deaths, whereas a review of vital statistics data revealed only four deaths that were hurricane-related. The average time of reporting a death by active mortality surveillance and vital statistics was 14 days and 16 days, respectively.ConclusionsTexas's active mortality surveillance system successfully identified hurricane-related deaths. Evaluation of the active mortality surveillance system suggested that it is necessary to collect detailed and representative mortality data during a hurricane because vital statistics do not capture sufficient information to identify whether deaths are hurricane-related. The results from this evaluation will help improve active mortality surveillance during hurricanes which, in turn, will enhance preparedness and response plans and identify public health interventions to reduce future hurricane-related mortality rates.Choudhary E, Zane DF, Beasley C, Jones R, Rey A, Noe RS, Martin C, Wolkin AF, Bayleyegn TM. Evaluation of active mortality surveillance system data for monitoring hurricane-related deaths, Texas, 2008. Prehosp Disaster Med. 2012;27(4):1-6.

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