bluuebunny/crossref_metadata_2025 huggingface dataset:
Mobile-learning and pedagogical practices of French as a Foreign Language: a case study
Authors: Nobre Ana , Martin-Fernandes Isabelle
Published: December 2018

Integrating digital technologies into French language courses is the challenged assumed by the authors of this article. The presence of portable digital devices is a reality in our institutions and in our teaching practices in Portugal. Even if there still are reluctancies, teachers can consider this technological and pedagogical contribution as an added value to achieve their objectives. The transition from the paradigm of instruction to a series of strategies leading to a paradigm of communication is the path to reach digital literacy in the service of learning / teaching foreign language French. If we want our students to be fully-fledged citizens of the digital world, we must offer them educational scenarios that motivate them and correspond to their needs.
Le poème en prose et ses relations avec la théorie des genres: pour une approche moderne
Authors: Baños Gallego Pedro
Published: December 2018

Notre article est axé sur les possibles relations entre le poème en prose et la théorie des genres. La principale problématique à laquelle le critique doit être confronté est, sans doute, la polymorphie d’un genre qui change selon le poète. Depuis la naissance du poème en prose avec le Gaspard de la Nuit de Bertrand et les Petits poèmes en prose de Baudelaire, chaque auteur a prôné sa liberté individuelle afin de se détacher des autres. Le résultat est un corpus multiforme et difficilement analysable du point de vue formel. À partir de ce constat, nous essayerons de cerner la place qui correspond au poème en prose dans l’ensemble d’exposés théoriques conformant la théorie des genres, depuis Aristote jusqu’à nos jours.
El tratamiento de Madame, les filles y el ethos discursivo de Maupassant en "Le Plaisir" de Max Ophuls
Authors: Segura Tornero Alfredo
Published: December 2018

Max Ophuls propone en Le Plaisir una transposición de tres relatos de Maupassant. La representación discursiva del filme cuenta con numerosos puntos convergentes, aunque es necesario resaltar que Ophuls favorece un reflejo menos realista y naturalista de los personajes, en particular de las prostitutas. Las divergencias más significativas se sitúan en el nivel enunciativo con la inclusión del ethos discursivo de Maupassant, convertido en personaje. La manera de abordar el punto de vista es un balbuceo del cine de voyeurismo cuya esencia es el movimiento. En este sentido, cabe preguntarse si el narrador Maupassant de Max Ophuls una anticipación a la cámara de la Nouvelle Vague.
How Should We Be Conducting Routine Analysis of Traditional Emergency Department Syndromic Surveillance Data?
Authors: Atrubin David , Wiese Michael
Published: December 2018

This roundtable will focus on how traditional emergency department syndromic surveillance systems should be used to conduct daily or periodic disease surveillance.  As outbreak detection using these systems has demonstrated an equivocal track record, epidemiologists have sought out other interesting uses for these systems.  Over the numerous years of the International Society for Disease Surveillance (ISDS) Conference, many of these studies have been presented; however, there has been a dearth of discussion related to how these systems should be used. This roundtable offers a forum to discuss best practices for the routine use of emergency department syndromic surveillance data.
Community Engagement among the BioSense 2.0 User Group
Authors: Hoferka Stacey , Rennick Marcus , Austin Erin E. , Burke Anne , Ergas Rosa , Fiedler Jay , Streichert Laura , Wahnich Amanda
Published: December 2018

This roundtable will provide a forum for the syndromic surveillance Community of Practice (CoP) to learn about activities of the BioSense 2.0 User Group (BUG) workgroups that address priority issues in syndromic surveillance. The goals of the workgroups are to coordinate efforts nationwide, better inform development of BioSense 2.0 to the Governance Group and CDC, and achieve high-quality outcomes for the practice of syndromic surveillance. Representatives from each workgroup will describe their efforts to date so participants can discuss key challenges and best practices in the areas of data quality, data sharing, onboarding, and developing syndrome definitions.
Digital Disease Detection Dashboard: Rapid Detection & Outbreak Management Tool
Authors: Alvarez Karina N. , Ordun Catherine , Blake Jane , Simmons Kirsten A. , Hansen Keith , Baker Dan , Rowe Lynda , Ahmad Yusra , Eby Donald M. , Koutsonanos Dimitrios , Escaravage Steve , Decker KC
Published: December 2018

The Digital Disease Detection Dashboard (D4) provides an analytics environment to conduct hypothesis testing, hot spot geolocations, and forecasting in a centralized dashboard. Methods such as linear regression, LOESS, and SIR modeling are implemented R, an open-source programming language. Visualizations utilize Javascript libraries and are rendered using R-Shiny. Currently, D4 contains 15 epidemiological datasets from the CDC including foodborne illness cases, influenza patient counts and positive lab confirmations, and unconventional public health data like weather data. D4’s objective is to use powerful statistical models and rigorous visualizations to analyze multivariable associations to specific outcomes using open source code.
Tractable Use Cases for Collaboration in Public Health Surveillance
Authors: Hoferka Stacey , Wiedeman Caleb , Lall Ramona , Coletta Michael , Burkom Howard
Published: December 2018

This panel will expand the development process and use case collection of the ISDS Technical Conventions Committee, whose purpose is to bridge the gap between the analytic needs of public health practitioners and the expertise of the research community for the enhancement of disease surveillance.Panellists will present use cases of current and ongoing concern at local, state, and national levels. The audience will be prompted with questions on the relevance, aspects of common utility, technical feasibility, and data availability issues related to each use case, and derived or novel ideas will be solicited.
Surveillance to Manage Disease on Canadian Swine Farms
Authors: Berezowski John , Byra Chris , Brockhoff Egan , Hurnik Dan , Klopfenstein Christian , Kloeze Harold , Bergeron Luc , Charbonneau George , Cardinal Francois , Jamal Iqbal , Herntier Travis
Published: December 2018

The Canadian Swine Health Intelligence Network (CSHIN) was developed to help Canadian swine veterinarians and producers deal more effectively with swine disease. It consists of two integrated components; a social network and a web-based data collection, analysis and reporting system. The organizational structure engages the data and information providers directly in the decision making (governance) processes. The data collected include farm level syndrome prevalence as well as clinical and laboratory diagnoses. The CSHIN has demonstrated that it can provide value to both individual producers and the industry as a whole.
An Ecological Analysis of the Impact of Temperature Inversion on Emergency Department Visits for Respiratory Syndromes and Subsyndromes using BioSense 2.0 Frontend Data
Authors: Burke Anne , Jackson David , Nakashima Allyn K.
Published: December 2018

This analysis used BioSense 2.0 frontend data to evaluate the impact of air quality indeces on emergency department visits for respiratory syndromes and subsyndromes during wintertime inversions in Salt Lake County, UT. Most syndromes and subsyndromes occurred more frequently on days with higher AQI and aberration alarms were more likely to be triggered on days with higher AQI for ILI, pleurisy, and respiratory failure. After adjusting for seasonality, the AQI was significantly associated with the proportion of emergency room visits for RSV, ILI, and the respiratory syndrome. These results suggest frontend data may be useful for ecological air quality analyses.
Digital Sources of Food Purchasing Data for the Surveillance of Dietary Patterns
Authors: Charland Katia , Mamiya Hiroshi , Buckeridge David
Published: December 2018

Food consumption data gathered at a fine enough spatial and temporal resolution is essential for the effective delivery and evaluation of diet-related public health interventions. Currently, the standard for food consumption data is food surveys. However, they are a burden on the respondant, are prone to bias and are often published after a long delay. In our study, we illustrate the utility of digital food purchasing data in public health practice by demonstrating a drop in soda sales following two public health interventions implemented in late 2011 in Montreal, Canada, to decrease the consumption of soda in school-aged children.
Demographic Health Analysis by Incorporation of Census Data with Patient Records
Authors: Cuellar Christopher R. , Loschen Wayne
Published: December 2018

This presentation will detail the incorporation, usage, and complications for inclusion of Census ZCTA based data with patient health records. Approaches to meaningful categorization will be discussed and potential usefulness described. Examples will be given using test data from the ESSENCE surveillance platform.
Metagenomic Profiling and Identification of Antimicrobial Resistance Genes from Airborne Microbial Communities
Authors: Dickerson Tamar , Jacobs Jonathan L. , Waybright Nicole , Swales Danielle , Lowary Peggy , Coffin Jeanette , Bogan Joseph
Published: December 2018

Antimicrobial resistance (AMR) is recognized as a severe threat to human and animal health worldwide, yet relatively little is known regarding the bioavailability of AMR genes in airborne microbial communities. Hence, the objective of our study is to use next generation sequencing (NGS) to assess the temporal dynamics of airborne bacterial communities as well as functional metagenomics to investigate the dispersion of AMR genes present within them.
Vetsyn: Veterinary Syndromic Surveillance Streamlined into one R Package
Authors: Dórea Fernanda C. , Widgrén Stefan , Lindberg Ann
Published: December 2018

We describe an R package that was designed to provide ready implementation of veterinary syndromic surveillance systems, from classified data to the generation of alerts. The development of the package was informed by the experience developing two systems for veterinary syndromic surveillance based on laboratory test requests. Functions are available to carry out retrospective analyses of the data available; produce an outbreak-free baseline from historical data; monitor data streams prospectively with a combination of various temporal outbreak-signal detection algorithms; set up automated email alerts in case of alarms; and set up an html interface for the system.
Preparing for ILINet 2.0
Authors: Greenspan Joel
Published: December 2018

A Neolithic transformation is underway in public health, where the ubiquity of digital healthcare (HC) data is changing public healths traditional role as data hunter-gatherers to one of data farmers harvesting huge reserves of electronic data. ILINet 1.0 is the current U.S. outpatient influenza-like Illness (ILI) surveillance network dependent on volunteer sentinel providers ro report syndromic ILI. ILINet 1.0 represents a largely unchanged, ongoing hunter-gatherer approach to ILI surveillance. The roundtable will encourage ILINet 1.0 supporters and challengers to present their views and supporting evidence for proceeding with the status quo or formulating a new approach to ILINet 2.0.
Documenting the Missed Opportunity Period for Influenza Vaccination in Office-based Settings
Authors: Greenspan Joel , Valkova Silvia
Published: December 2018

Missed opportunities for influenza vaccination in office-based settings occur when patients (who are inclined to accept influenza vaccination if a provider recommends it) remain unvaccinated after a fall/winter healthcare visit. Healthcare providers can be very influential in encouraging patients to obtain influenza vaccination, but little is known in real-time during annual campaigns of how many and what type of providers are actually giving vaccinations in office settings. We propose a new metric derived from electronic healthcare claims that provides a near-real-time estimate of % of providers who are administering influenza vaccines in office-based settings.
Game Plan: Communicable Disease Surveillance for Super Bowl XLVIII – New Jersey, 2014
Authors: Hamby Teresa , Walsh Andrew , McHugh Lisa , Tsai Stella , Lifshitz Edward
Published: December 2018

This oral presentation will describe the surveillance planning and activities for a large-scale event (Super Bowl XLVIII) using New Jersey syndromic surveillance system (EpiCenter).
Ratio of Excess ED ILI Visits to Seroprevalence, Influenza A/H1N1 Infection, FL, 2009
Authors: Hopkins Richard , Kite-Powell Aaron , Goodin Kate , Hamilton Janet J.
Published: December 2018

During the 2009 influenza pandemic, due to the 2009 pandemic influenza A (pH1N1) virus, there were an estimated 44 infections for every excess emergency department visit for influenza-like illness in Florida.
Comparison of Three Critical Syndrome Classifications: Louisiana vs. BioSense
Authors: Iberg Johnson Jenna
Published: December 2018

BioSense and Louisiana influenza-like-illness, gastrointestinal, and upper respiratory syndrome classifications were applied to Louisiana emergency department data to examine if varying syndrome definitions yield similar results when applied to the same data. Results were highly correlated for each syndrome pair however syndrome percentage means were significantly different. Most C2 alerts occurred on corresponding weeks, providing confidence in the use of C2 on current syndrome definitions for aberration detection. As public health jurisdictions work towards developing common syndrome classifications for comparability across jurisdictions, this analysis provides evidence that current differences in syndrome definitions may not hinder comparability of trends over time.
Tiny Footprints Embedded on Grieving Mother’s Heart: Stillbirths in the Health and Demographic Surveillance System
Authors: Ilyas Muhammad , Ali Murtaza , Imran Nisar Muhammad , Jehan Fyezah , Kazi Abdul Momin
Published: December 2018

Muhammad Ilyas is MSc in epidemiology and biostatistics from the Aga khan university, Karachi Pakistan. He is currently working as research specialist / project manager at the department of Paediatrics and child health in AKU, Karachi. He is looking after the field activates data collection and verbal autopsies in the demographic and health surveillance system. He is also supervising a multicenter large cohort study on maternal and neonatal mortalities and morbidities. last year he got the travel award but could attended due to delay in visa.
Keeping Public Health Surveillance Practice up to Speed: a Training Strategy to Build Capacity
Authors: Laberge Kathleen , Jensen Lisa , Abdelmalik Dr. Philip , Rutledge-Taylor Katie , Shah Lena
Published: December 2018

Surveillance practice is evolving rapidly: globalization of health threats, emergence of infectious diseases, and explosion of easily accessible new technologies. This fluid environment challenges the public health community, but provides it with a fertile environment to innovate and improve its practice. As surveillance is a core function of public health practice, public health practitioners need to be well equipped to achieve this function and address present and future public health challenges. We developed a training course that focused on the practical use of surveillance concepts and principles. We are sharing findings on the development of the course and learner outcomes.
Public Health (PH) Preparedness: Improving Data Exchange for Monitoring PH Threats through Content Standardization
Authors: Lipskiy Nikolay
Published: December 2018

The objective of this presentation is to evaluate progress in the development of semantically interoperable content for public health (PH) systems that monitor PH threats. It was demonstrated that while progress towards content standardization for exchange of these data exists, there are some gaps that became evident through this study. Our results demonstrate that content standards for monitoring PH threats at a patient-level are better defined than at population level. Results of this study underline the importance of better coordination of data harmonization efforts between and within domains of PH knowledge.
Wikipedia Usage Estimates Prevalence of Influenza-like Illness in Near Real-Time
Authors: McIver David , Brownstein John S.
Published: December 2018

Wikipedia usage data has been harnessed to estimate the prevalence of influenza-like illness (ILI) in the US population. By observing the number of times certain key Wikipedia articles are viewed each day, a model was developed that accurately estimated ILI, within 0.27% of official Centers for Disease Control and Prevention data. Additionally, this method was able to accurately determine the week in which ILI peaked 17% more often than Google Flu Trends. This work demonstrates the power of open, freely available data to aid in disease surveillance.
Tuberculosis Unseen - Missed Opportunities in Diagnosis
Authors: Miller Aaron C. , Polgreen Linnea A. , Polgreen Philip M.
Published: December 2018

This study estimates the number of tuberculosis cases that are potentially misdiagnosed as alternative respiratory illnesses in months prior to receiving a correct diagnosis. Inpatient and emergency department records in the state of California, from 2005 to 2011, were analyzed for patients that had an initial tuberculosis diagnosis along with a previous recorded visit. Tuberculosis patients were far more likely to receive a respiratory diagnosis in a window 5 to 90 days prior to their initial tuberculosis diagnosis than were uninfected patients. Findings suggest that more than 20% of tuberculosis cases are potentially missed in inpatient and emergency department settings.
Developing a Guidance Document to Improve Public Health Surveillance during Disasters
Authors: Nakata Nicole , Wolkin Amy
Published: December 2018

During all phases of the disaster management cycle, public health surveillance plays a valuable role. Surveillance provides public health officials and stakeholders the information they need to respond to disasters and take action in an appropriate and timely manner. There is a lack of standardized guidance on implementing public health surveillance during domestic disasters. The draft document seeks to fill this need by providing guidance on planning, initiating, modifying, conducting, and evaluating disaster public health surveillance in the U.S. In this session, we plan to engage the audience to receive feedback on the draft document proposal.
CDC Surveillance Strategy – A Strategy for Improving CDC Activities in Public Health Surveillance
Authors: Richards Chesley , Lee Brian
Published: December 2018

Public health surveillance guides efforts to detect and monitor disease and injuries, assess the impact of interventions and assist in the management of and recovery from large-scale public health incidents. Actions informed by surveillance information take many forms, such as policy changes, new program interventions, public communications and investments in research. Local, state and federal public health professionals, government leaders, public health partners and the public are dependent on high quality, timely and actionable public health surveillance data. This Surveillance Strategy aims to improve overall surveillance capabilities, and by extension those of the public health system at large.
Pertussis Surveillance in Veterans Affairs Medical Centers in Western United States – 2010-2014
Authors: Schirmer Patricia , Mercier Renee-Claude , Lucero-Obusan Cynthia A. , Oda Gina , Holodniy Mark
Published: December 2018

We describe pertussis surveillance in VA from 2010-2014. 275 cases of pertussis were identified using the Hospital-Acquired Infection and Influenza Surveillance System which utilizes QC Pathfinder and VA ESSENCE applications. Nineteen cases were identified by both applications. Sixty-two cases were laboratory confirmed. Of the 275 cases, 10% required hospitalization, 43% of patients were tested for pertussis, and 54% had documentation of a Tdap vaccine (regardless of whether vaccine was given prior to encounter). VA could improve on testing of potential pertussis cases as well as vaccination rates.
StarScan: A Novel Scan Statistic for Irregularly-Shaped Spatial Clusters
Authors: Somanchi Sriram , Choi David , Neill Daniel B.
Published: December 2018

We propose StarScan, a new star-shaped scan statistic for detecting irregularly-shaped spatial clusters. StarScan generalizes the traditional, circular spatial scan statistic by allowing the radius of the cluster around a center location to vary continuously with the angle, but penalizes the log-likelihood ratio score proportional to the total change in radius. StarScan was compared with circular scan and fast subset scan on simulated respiratory outbreaks and bioterrorist anthrax attacks injected into real-world Emergency Department data. Given a small amount of labeled training data, StarScan learns appropriate penalties for both compact and elongated clusters, resulting in improved detection performance.
Classifying Supporting, Refuting, or Uncertain Evidence for Pneumonia Case Review
Authors: South Brett R. , Heidi S. Kramer Heidi S. Kramer , Jones Barbara , Tharp Melissa , Chapman Wendy
Published: December 2018

We found substantial annotator variability in identifying supporting, refuting, or uncertain evidence for the diagnosis of pneumonia in clinical text. Future work will expand these methods to a larger case sample and incorporate a more formal linguistic analysis to identify specific lexical cues thereby extending existing taxonomies of uncertainty and improving automated NLP algorithms.
Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study
Authors: Walsh Andrew
Published: December 2018

Ambulatory practice syndromic surveillance data needs to demonstrate utility beyond infectious disease outbreak detection to warrant integration into existing systems. The nature of ambulatory practice care makes it well suited for monitoring health domains not covered by emergency departments. This project demonstrates collection of height and weight measurements from ambulatory practice syndromic surveillance data. These data are used to calculate patient BMI, an important risk factor for many chronic diseases. This work is presented as a proof-of-principle for applying syndromic surveillance data to additional health domains.
Unplanned School Closures in the United States: Evaluation of Economic and Social Costs and Consequences for Students’ Families
Authors: Zheteyeva Yenlik , Coleman Margaret , Shi JianRong , Gao Hongjiang , Uzicanin Amra , Rainey Jeanette J.
Published: December 2018

School closures implemented pre-emptively, before the peak of influenza activity, are an effective mitigation strategy to slow disease transmission during influenza pandemic. Prolonged school closures may impose unintended economic and social costs to students families. To better understand this unintended impact, we conducted household surveys in five different regions of the United States following school closures implemented for various reasons. One of the primary challenges for families during unplanned school closures is making emergency childcare arrangements. While the most frequently childcare is provided by a non-working household member, this option is not available for families where all adults are employed full-time. Although disruption of subsidized school lunch program did not appear as a difficulty for the majority of eligible families during these school closures, more research might be needed on closures that last longer than 7 days.
The Need for Address Based Data: Disaggregation of Syndromic Surveillance Systems
Authors: Blackwell James N. , Hickson Ashley , Heinbaugh David , McGee Kimberlee , Stephens William , Aria Sharefa
Published: December 2018

The current data structures of the syndromic surveillance systems do not allow the for the full analytical potential that GIS tools possess.
Use of Syndromic Data for Enhanced Surveillance: MERS Like-Syndrome
Authors: Dey Achintya N. , Miller Matthew , Coletta Michael , Ajani Umed
Published: December 2018

The goal is to identify and monitor MERS like syndrome cases in the syndromic surveillance system. In consultation with the state and local jurisdictions, five case definitions were developed to monitor MERS like syndromes. From May through July, 2014 fifteen reporting jurisdictions participated in MERS enhanced surveillance. . During this enhanced surveillance time period 171 probable MERS cases were identified and all of them were ruled out. The MERS collaborative efforts between BioSense programs, CDC subject matter experts and jurisdictions will help develop more comprehensive definitions to conduct enhanced surveillance at the national level using multiple syndromic surveillance systems.
Evaluating Cost and Performance for Improved Meningitis Disease Surveillance in Chad
Authors: Erondu Ngozi , Griffiths Ulla K.
Published: December 2018

An evaluation study was conducted in Chad to improve meningitis surveillance after the introduction of the serogroup A meningococcal conjugate vaccine. This project was carried out in four phases. Phase 1: Determine the actual costs of the current meningitis surveillance system; phase 2: Evaluate the performance and quality of the system; phase three: Determine the potential costs of scaling up the surveillance system to a feasible operational standard; and phase four: Use the results from Chad to develop a surveillance cost model that can be used for predicting the costs of surveillance strategies in other African meningitis belt countries.
Chikungunya Epidemic in the French Overseas Territories using Syndromic Surveillance
Authors: Fouillet Anne , Rosine Jacques , Bousquet Vanina , Cassadou Sylvie , Carvalho Luisiane , Ledrans Martine , Andrieu Audrey , Cardoso Thierry , Caserio- Schönemann Céline
Published: December 2018

In December 2013, an emergence of chikungunya was observed in the French Caribbean region. The French syndromic surveillance system SurSaUD, based on the daily collection of attendances on emergency departments and calls to associations SOS Medecins, ensure a complementary surveillance with the specific system based on a sentinel general practitioners network. This study describes the temporal pattern of the chikungunya epidemic and the characteristics of patients in the French overseas territories of Americas using the syndromic surveillance system.
Application of an Automated Surveillance System to Evaluate Outpatient Care of Pneumonia
Authors: Gifford Jeneen , Delisle Sylvain
Published: December 2018

A case detection algorithm (CDA) originally designed for automated surveillance of acute respiratory infection was enhanced with an automated classifier for chest imaging reports in order to detect cases of pneumonia. This detection method revealed cases of pneumonia treated in the outpatient setting that were misdiagnosed or had a treatment delay. We also report the antibiotics chosen for treatment, both when pneumonia is recognized and missed. A pneumonia CDA can be used in future studies to assess quality of care and outcomes in CAP treated in the outpatient setting.
An Analysis of the International and Domestic Health Hazards Posed by the 2014 West African Ebola Virus Disease Outbreak
Authors: Hickey Andrew , Cheeseman Barthel Sarah , Blessington Tyann , Brown Yandace K. , Wong Diana Y. , Albrecht William N. , Freese Mark , Quitugua Teresa
Published: December 2018

An epidemic of "ebolavirus" in West Africa, which was first identified in March 2014, is now the largest Ebola Virus Disease (EVD) outbreak on record. The West African epidemic will only be quelled through widespread adherence of public health initiatives promoting barrier-nursing techniques, health education, and the rapid identification of cases. The ongoing EVD outbreak in West Africa is unlikely to affect public health in the U.S. significantly.
Leveraging the Master Patient Index in Public Health Surveillance through Collaboration between Illinois Department of Public Health and the Illinois Health Information Exchange
Authors: Hoferka Stacey , Handle Ivan , Linthicum Steven , Jovanov Dejan , Trick William , Kauerauf Judy
Published: December 2018

In support of Meaningful Use public health reporting, health departments are expanding their capacity to receive electronic health data. The Illinois Department of Health is working with the Illinois Health Information Exchange to build services and applications to improve the quality and utility of surveillance data. The Master Patient Index is an innovative component of the technology that will integrate public health data across surveillance systems. This presentation will cover the application of the MPI to ambulatory syndromic surveillance as well as other surveillance systems and highlight potential use cases.
Syndromic Surveillance of Respiratory Pathogens using Routine ED Data in England
Authors: Hughes Helen , Morbey Roger , Hughes Thomas , Locker Thomas , Smith Gillian , Elliot Alex
Published: December 2018

We used an ED syndromic surveillance system to understand the factors driving respiratory ED attendances in England and how these can be characterised by the syndromic indicators available. Respiratory indicators were observed to peak at different points during winter, with further variation observed in the distribution of attendances by age. Multiple linear regression revealed acute respiratory infection and bronchitis were sensitive to increasing RSV activity in infants. A less specific all respiratory indicator was found to be sensitive to RSV, showing the ability for this ED system to make full use of data even from sites using basic diagnosis coding.
Design and Implementation of an Emergency Department (ED) Based Rapid HIV Screening Program
Authors: Hustey Fredric , Phelan Michael , O’Keefe Sharon , Barbour Tracy
Published: December 2018

This was a prospective cohort study involving an ED rapid HIV screening program targeting high risk patients. 1090 patients underwent ED HIV testing over a 33 month period. 43% (467/1090) were male and 74%(804/1090) were African American. Mean age was 27 years. 32/1090 tested positive of which 31 were confirmed on follow up testing (3%; 95%CI, 2-4%). 27/31 patients were previously undiagnosed (87%; 95%CI, 71-95%), while 4 patients had reported prior positive results.100% of HIV positive patients were linked to outpatient care. ED testing, including linkage to outpatient care is feasible, and yielded higher rates of HIV than previously reported.
Validation of Emergency Department and Outpatient Data Using ILI syndrome classifiers
Authors: Iberg Johnson Jenna , Brown Komal
Published: December 2018

The goal of this analysis is to compare the results of influenza-like-illness (ILI) text and International Classification of Diseases (ICD) code classifiers applied to the Louisiana Office of Public Health (OPH) syndromic surveillance data reported by New Orleans area emergency departments and the Greater New Orleans Health Information Exchange (GNOHIE) data reported by New Orleans area outpatient clinics. This study adds to the evidence supporting the emerging use of outpatient data for syndromic surveillance.
Preparing Disease Surveillance Systems for ICD10
Authors: Jonnagadla Alimelu , Loschen Wayne , Gunn Julia , Evans Jennifer
Published: December 2018

This presentation discusses the functionality that is incorporated into ESSENCE to prepare it for the ICD10 transition. The features that allow usage of both ICD9 and ICD10 classification systems simultaneously will also be presented.
Supplementing Obesity-Related Surveillance with Persistent Health Assessment Tools
Authors: Keybl Meredith , Henderson John , Zarrella Guido , Gibson John , Kluchnik Maeve
Published: December 2018

We developed Persistent Health Assessment Tools, PHAT, to equip public health policy makers with more precise tools and timely information for measuring the success of obesity prevention programs. PHAT monitors social media to supplement traditional surveillance by making real-time estimates based on observations of obesity-relevant behaviors. Specifically, we developed models for predicting obesity rates from sets of tweets and developed a dashboard to provide interactive navigation and time slicing.
Automated Collection of Electronic Health Record Healthy Weight Data for Surveillance
Authors: Mikles Sean P. , Foltz Jennifer L. , Painter Ian , Lober William B.
Published: December 2018

During 2014 testing and demonstrations organized by the Integrating the Healthcare Enterprise, we demonstrated the feasibility of using healthy weight (HW) IT standards in public health surveillance for chronic conditions through the collection and visualization of patient height, weight and behavioral data. HW surveillance could identify the need for, shape the design of, and support monitoring and evaluation of public health interventions.
An Analysis of the Challenges and Possible Solutions for Dog Bite Injury Surveillance
Authors: Trembath Felicia
Published: December 2018

The challenges facing surveillance for dog bite injuries include the lack of a standardized reporting form, consistent information being collected, and utilization of the information that is collected. Potential solutions include a standardized reporting form, greater emphasis on reporting, and a repository for information. These solutions can be accomplished in part by including dog bite injuries in current or developing disease surveillance systems.
Assessing the Work Practices and Information Needs of Disease Investigators
Authors: Abernethy Neil , Carroll Lauren , Au Alan , Fu Tsung-Chieh
Published: December 2018

Investigation of infectious disease cases requires support from protocols, distributed and cooperative work, and information systems. We used form and protocol reviews together with qualitative research to study public health work practices, data requirements, and information needs. We found that the forms and protocols did not fully align, and that current information systems were limited in their ability support data analysis. We propose that better alignment between protocols, work practices, and system functionality such as integrated information visualization will improve the disease investigation process.
Application of an Innovative Data Analytical Approach to Assessing the Disease Situation during Crises in Somalia, Yemen and Pakistan
Authors: Ahmed Kamran , Ajanga Antony , Saleh Omer A. , Altaf Mohammad D. , Popal Ghulam R.
Published: December 2018

The functioning electronic databases for fast and reliable disease early warning and response networks (EWARN) have been found very effective in early detection, confirmation and response to disease outbreaks but launching the implementation of such electronic systems is always time consuming due to resource constraints and other limitations during crises. Thus application of data analytical approaches can serve as reliable alternative for electronic database system during the initial launching phase that facilitate monitoring of health situation without any delay during humanitarian crises. Furthermore, this approach can help in improving overall health information management capacities and capabilities of resource poor countries.
Monitoring Acute Diarrhea via an Electronic Surveillance System in the Peruvian Navy
Authors: Alsentzer Emily , Vera Delphis M. , Neyra Joan , Loayza Luis , Hora Ricardo A. , Osorio Victor B. , Quispe Jose , Ballard Sarah-Blythe , Blazes David
Published: December 2018

Vigila is a national electronic surveillance system implemented by the Peruvian Navy in order to monitor infectious diseases. Vigila includes 169 reporting establishments, which treat active military, retired military, dependents, and civilian employees. The goal of this study was to establish baselines of acute diarrheal disease in the Peruvian Navy and detect outbreaks of acute diarrheal disease from 2009-2013. There were 39,764 cases of acute diarrheal disease reported, and 25 outbreaks were detected using Exponentially Weighted Moving Average (EWMA) control charts. These analyses demonstrate the utility of syndromic surveillance in a resource-limited setting.
A Comparison of Fever Classified Chief Complaints and Diagnoses with Recorded Body Temperatures
Authors: Araki Patricia , Kajita Emily , OYong Kelsey , Luarca Monica Z. , Hwang Bessie , Mascola Laurene
Published: December 2018

In an effort to evaluate patient stated "fever" chief complaints and diagnoses utilizing emergency department data from the Los Angeles County Syndromic Surveillance project, each were compared with measured patient body temperatures in the fever range.
Application of Syndromic Surveillance to Describe Gunshot-related Injuries in Houston
Authors: Arnold Ryan M. , McNeely Wesley , Muhetaer Kasimu , Yang Biru , Arafat Raouf R.
Published: December 2018

Firearm-related injuries pose a substantial public health risk in the United States, and traditional means of studying this issue rely primarily on retrospective analyses. Syndromic surveillance, collected in over 30 Houston area emergency departments, is well suited to characterize and analyze gunshot injuries in the area in near real-time. Over the past two years, more than 900 gunshot-related injury visits were identified using this method, and ArcGIS effectively identified incident densities in ZIP codes throughout Houston. Most patients were males (86.3%), between the ages of 18 and 34 (64.7%).
Detecting Outbreaks in Time-Series Data with RecentMax
Authors: Carter Dave , Martin Joel D.
Published: December 2018

The RecentMax algorithm seeks to detect typical outbreaks of transmissible disease (particularly influenza-like illness) in time-series data better than existing algorithms like CDC EARS C1/C2/C3.
Determinants of Daily Attendances in Emergency Departments for Asthma in the Paris Area
Authors: Caserio-Schönemann Céline , Sanna Alice , Bousquet Vanina , Medina Sylvia , Pascal Mathilde , Delmas Marie-Christine , Fouillet Anne
Published: December 2018

Asthma is one of the numerous syndromic indicators daily monitored at the regional and national levels by the French syndromic surveillance system based on the emergency departments Oscour network. This indicator presents important daily fluctuations and can be influenced by several environmental, infectious and societal factors. Particularly the short-term impact on asthma of episodes like the air pollution peak experienced in March 2014 and the thunderstorm occurred in July 2014 has been analysed by age group on the Paris area, as well as the effect intrinsic factors (day-of-week, seasonal period, holidays).
Surveillance on Hand, Foot, and Mouth Disease in East Asia
Authors: Chan Ta-Chien , Lee Chang-Chun , Hwang Jing-Shiang
Published: December 2018

This presentation tried to understand the spatio-temporal evolution of hand, foot and mouth disease epidemics in East Asia. In addition, we want to elucidate the relationship between weather conditions and HFMD epidemics.
Using Syndromic Surveillance to Characterize Unintentional Ingestions in Children
Authors: Chase Alyssa Z. , Agarwal Mansi , Mercurio-Zappala Maria , Su Mark
Published: December 2018

Unintentional Ingestions (UIs) in NYC were investigated for children under 5 years using syndromic surveillance data. Emergency Department visits for UIs have remained stable in this population from 2010 through July 2014, with foreign bodies such as coins and medications comprising the bulk of these visits. Among medications, analgesics were the most common known source of poisoning.  Our results corroborate findings from the Poison Control Center and will be used to identify all UIs in near real-time. Our results also suggest a link between accidental medicinal UIs and poverty level and living with grandparents, which we will further explore in future studies.
Combining Text Mining and Data Visualization Techniques to Understand Consumer Experiences of Electronic Cigarettes and Hookah in Online Forums
Authors: Chen Annie T. , Zhu Shu-Hong , Conway Mike
Published: December 2018

Our aim in this work is to apply text mining and novel visualization techniques to textual data derived from online health discussion forums in order to better understand consumers experiences and perceptions of electronic cigarettes and hookah.
Assessment of Several Algorithms for Outbreak Detection using Bovine Meat Inspection Data for Syndromic Surveillance: A Pilot Study on Whole Carcass Condemnation Rate
Authors: Dupuy Céline , Morignat Eric , Dórea Fernanda C. , Ducrot Christian , Calavas Didier , Gay Emilie
Published: December 2018

Slaughterhouses are a potential source of data which is under-used for cattle health monitoring. The objective of this work was to assess the performance of several algorithms for outbreak detection based on weekly proportions of whole carcass condemnation. Data from 177,098 cattle slaughtered in one French slaughterhouse from 2005 to 2009 were used. The Shewart p chart, one-sided confidence interval of a negative binomial regression model, and EWMA and CUSUM on residuals of a negative binomial model were investigated. The highest sensitivity was obtained using negative binomial regression and the highest specificity using CUSUM or EWMA.
A Syndromic Surveillance Service Supporting Environmental Public Health Incidents
Authors: Elliot Alex , Hughes Helen , Morbey Roger , Loveridge Paul , Harcourt Sally , Smith Sue , Bawa Zharain , Carrilho Leandro , Smith Gillian
Published: December 2018

This paper describes the national syndromic surveillance delivered by the Public Health England Real-time Syndromic Surveillance Team. We demonstrate how this service is increasingly responding to, and providing public health support for, a range of environmental incidents. Case studies of a number of incidents are illustrated.
Methodology of Epidemic Risk Management in Kazakhstan with Open-Source EIDSS
Authors: Esmagambetova Aizhan , Burdakov Alexey , Kazakov Stanislav , Ukharov Andrey , Sansyzbaev Erlan , Kazakov Vladimir
Published: December 2018

In order to transition the forecasting, estimation and management of epidemic risks to individual administrative areas, the Agency for Consumer Rights Protection of Kazakhstan has developed the Regional Sanitary-Epidemiological Passport (RSEP). The RSEP will contain information on the infectious incidence rate dynamics according to the main infections (7 nosologies) with a forecast for 2-3 years, and natural and soil foci GIS maps for especially dangerous pathogens with their activity forecast for 3-5 years. Approbation of RSEP was conducted for the Crimean-Congo hemorrhagic fever. Planned work includes estimation method adjustment, retrospective databank formation, GIS archive creation and Open-source EIDSS system application.
Development of the Multiplex PCR for Detection of the DNA-Contained Emergent Diseases Agents in Pigs (African Swine Fever, Aujeszky Disease, Circoviral Disease)
Authors: Gerilovych Anton , Stegniy Borys , Golovko Valeriy , Solodiankin Oleksii , Gerilovych Iryna , Smolyaninova Yevgenia , Rudova Natalya
Published: December 2018

This abstract is devoted to development of method for rapid detection of the DNA-containing viral pathogens of pig in clinical materials using conventional multiplex PCR platform
Pre-ART Mortality and its Determinants in a Tanzania Public Driven HIV Care Program
Authors: Kilama Bonita K.
Published: December 2018

Tanzania has a decentralised program for HIV Care services. An electronic patient record system has been developed for patient monitoring in clinics to enable accurate, anonymous information to be collated and analysed at the national level. This write-up, represents recent analysis of the anonymised data from 348 care and treatment clinics (CTC) across Tanzania assessing adults patients before ART initiation. Of importance to this gathering is the provision of quick results for policy makers and implementers to use in their decision making, but also demonstrate how a national electronic database can be interrogated and analysed for important markers of progress.
Return to Public Health- Undeliverable letters of Communicable Disease Patients
Authors: Kirbiyik Uzay , Shah Hassan , Lai Patrick T. , Williams Jennifer L. , Dixon Brian E. , Grannis Shaun
Published: December 2018

Reaching contagious people in a timely manner is essential to limit disease spread. We examined communicable disease cases with undelivered mail to ascertain failure causes and rates. We identified the source of address, reason for return and patient demographics from the case files. This yielded a framework of address information flow. This framework allows us to establish a baseline for future research including cost-effectiveness analyses for streaming lining the process for improvements.
Epidemiological inferences using public information, influenza H7N9 epidemic in China
Authors: Lau Eric H.Y. , Zheng Jiandong , Tsang Tim K. , Liao Qiaohong , Lewis Bryan , Brownstein John S. , Sanders Sharon , Mekaru Sumiko R. , Rivers Caitlin , Leung Gabriel M. , Feng Luzhao , Cowling Benjamin J. , Yu Hongjie
Published: December 2018

Compared to inferences based on the official line list, publicly-available line lists were able to provide generally similar inferences on descriptive epidemiology and transmissibility with little time-lag, but less accurate estimates of severity because of the lack of publicly-available information on discharge dates for recovered cases. Our findings highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status.
Social Mobilization Dengue Hemorrhagic Vector Control and Sustainability in Indonesia
Authors: Machmud Rizanda
Published: December 2018

An action research through community-based approaches is developed to reduce disease transmission and environmental management for control of dengue hemorrhagic fever in Padang, West Sumatera, Indonesia. The pupal survey showed the positive containers decreased from 33.3% into 4%. The incident of dengue hemorrhagic fever in Jati village decrease became null within 4 years. The output of the implementations is succeeding to environmental management for control of dengue hemorrhagic fever and had a multiplayer effect such as growing another community based action in education, income generating activity. After 4 years of monitoring the program is still continuously and sustainable afterward.
The Application of a Novel Statistical Method for Syndromic Surveillance in England
Authors: Morbey Roger , Hughes Helen , Elliot Alex , Verlander Neville , Andrews Nick , Charlett Andre , Smith Gillian
Published: December 2018

This paper describes the design and application of a new statistical method for real-time syndromic surveillance, used by Public Health England. The Rising Activity, Multi-level Mixed effects, Indicator Emphasis (RAMMIE) statistical method was developed and tested alongside existing methods before being applied to a suite of syndromic surveillance in operation in England. The RAMMIE method has proved to be a reliable, effective method for generating automated alarms for syndromic surveillance. The multi-level models have enabled local models to be created for the first time across all systems and models have proved themselves to be robust across all the signals.
Public Health Surveillance: Challenges and Solutions for the Road Ahead
Authors: Nanda Lipika , Mahapatra Sandeep
Published: December 2018

The presentation will highlight the proposed idea of Public Health Foundation of India (PHFI), to set up a nodal agency for disaster preparedness and surveillance in Odisha, India in collaboration with the National Disaster Management Authority (NDMA), India. The presentation will elaborate on the proposed plan and its objectives thereby defining the roles that other states, partners and government may play its functioning. The roles and responsibilities of the proposed strategic unit will be presented to seek suggestions bring up the unit. It will also focus upon various challenges and roadblocks in establishing such an institute.