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Infectious Disease

Background: Provides a definition of eradication and of the disease: that it affects mostly children, results in paralysis in some cases and is preventable through vaccination. 

The disease is nearly eradicated, but remains in three countries, which reported 22 cases in 2017. Eradication practices continue with 400 million vaccinations annually. 

Surveillance: Virus detection activities currently take place in 70 countries to both detect new cases and gain evidence for certification of eradication.  

Submitted by elamb on

Defines the current state of impact of malaria. positioning the disease as leading cause of death by disease worldwide. In last 12 years, seven million lives have been saved with a reduction of 60% in fatalities. 

The presentation draws parallels between malaria and polio eradication and estimates a $2 trillion economic benefit through disease eradication. Malaria No More has established a goal and models for disease eradication. 

Methods: 

Submitted by elamb on

Presentation identifies the Odisha State in eastern coastal India as a region in the country and world with exceptionally high rates of malaria infection. Odisha, which represents 3% of India’s population was reporting 40% of the nation’s malaria case. The interventions in this state are documented to show the effectiveness of the declining malaria burden  

Submitted by elamb on
Description

Influenza causes significant morbidity and mortality, with attendant costs of roughly $10 billion for treatment and up to $77 billion in indirect costs annually. The Centers for Disease Control and Prevention conducts annual influenza surveillance, and includes measures of inpatient and outpatient influenza-related activity, disease severity, and geographic spread. However, inherent lags in the current methods used for data collection and transmission result in a one to two weeks delay in notification of an outbreak via the Centers for Disease Control and Prevention’s website. Early notification might facilitate clinical decision-making when patients present with acute respiratory infection during the early stages of the influenza outbreak.

In the United States, the influenza surveillance season typically begins in October and continues through May. The Utah Health Research Network has participated in Centers for Disease Control and Prevention’s influenza surveillance since 2002, collecting data on outpatient visits for influenza-like illness (ILI, defined as fever of 100F or higher with either cough or sore throat). Over time, Utah Health Research Network has moved from data collection by hand to automated data collection that extracts information from discrete fields in patients’ electronic health records.

We used statistical process control to generate surveillance graphs of ILI and positive rapid influenza tests, using data available electronically from the electronic health records.

Objective

The objective of this study is to describe the use of point-ofcare rapid influenza testing in an outpatient, setting for the identification of the onset of influenza in the community

Submitted by teresa.hamby@d… on
Description

Under leadership of the Secretary of Veterans Affairs (VA), Office of Operations, Security and Preparedness has established the Veterans Affairs Integrated Operations Center, with the goal of enhancing integration and analysis of data, and information from VA’s preparedness partners, both internal and external, for timely decision support. The Office of Operations, Security and Preparedness oversee emergency preparedness for the VA, which includes responsibility for preparedness activities at Veterans Health Administration (VHA). The VHA provides medical care to over 5 million patients a year at 153 medical centers, and over 900 outpatient clinics in the United States, and the United States territories. The Office of Operations, Security and Preparedness is developing a VA–Subject Matter Expertise Center for Biological Events in collaboration with the VHA–National Infectious Diseases Program Office. The Subject Matter Expertise Center for Biological Events is initiating pilot projects to examine data sources, integration, and predictive analysis. The recent increase in dengue cases internationally prompted the Office of Operations, Security and Preparedness, and the Subject Matter Expertise Center for Biological Events to establish collaborations, and investigate factors influencing dengue disease patterns in VHA facilities. The National Weather Service has the mission to provide weather, water and climate data, forecasts and warnings for the protection of life and property, and enhancement of the national economy. The Veterans Affairs Integrated Operations Center enabled collaboration with the National Weather Service for integration of weather, water and climate data, and retrospective analysis into preparedness activities.

Objective

The objective of this study is to describe Veterans Affairs Integrated Operations Center-enabled collaborations to enhance the synergy of relevant data/information from Veterans Affairs (VA) and non-VA partners for improved early warning, and situational awareness of infectious disease threats.

Submitted by teresa.hamby@d… on
Description

The American Health Information Community Harmonized Use Case for the Biosurveillance minimum data set (MDS) was implemented to establish data exchange between regional health information organizations (RHIOs) and the New York State Department of Health (NYSDOH) for accelerating situational awareness through the Health Information Exchange (HIE) Project. However, the completeness, timeliness of the reporting and quality of data elements in the MDS through RHIOs are still unknown and need further validation before we can utilize them for NYSDOH public health surveillance.

Objective

Evaluate the availability, timeliness, and accuracy of MDS data elements received from one RHIO for emergency department (ED), in-patient, and outpatient visits. Compare the characteristics of patients meeting the HIE influenza-like illness definition who were admitted to the hospital or expired versus those discharged home.

Submitted by uysz on
Description

Current influenza-like illness monitoring in Idaho is on the basis of syndromic surveillance using laboratory data, combined with periodic person-to-person reports collected by Idaho state workers. This system relies on voluntary reporting. Electronic medical records with relational databases offer a method of obtaining data in an automated fashion. Clinical data entered in CPRS includes real-time visit information, vital signs, ICD-9, pharmacy, and labs. ICD-9 and vital signs have been used to predict influenza-like illness in automated systems. We sought to combine these with lab and pharmacy data as part of an automated syndromic surveillance system.

Objective

The objective of this paper is to study whether syndromic surveillance using data from the Veterans Administration electronic medical record computerized patient record system (CPRS) correlates to officially reported influenza activity levels in the State of Idaho.

Submitted by uysz on
Description

Surveillance of deaths due to influenza and pneumonia using death records has the potential to be a relatively inexpensive and quick approach to tracking and detecting influenza and respiratory illness outbreaks; however, presently such a system does not exist because of the time delays in processing death records: in Utah, as is similar elsewhere in the United States, coded death certificate data are typically not available for at least 1–3 months after the date of death, and coded national vital statistics data are not available until after 2–3 years.

Objective

This poster presents the rationale for designing a real-time surveillance system, based on mortality data, using grid and natural language processing tools that will address the current barrier that coded death certificate data not being available for several months. To develop a public health tool that delivers a timely surveillance system for influenza and pneumonia, we integrated death certificates from the Utah Department of Health, analytical grid services, and natural language processing tools to monitor levels of mortality. This example demonstrates how local, state, and national authorities can automate their influenza and pneumonia surveillance system, and expand the number of reporting cities.

Submitted by uysz on
Description

The rise and associated risks of using the internet to find sexual partners among men who have sex with men (MSM) has been noted by many researchers.1,2 The anonymity and relative ease of finding partners on the internet has facilitated casual sexual encounters that can encompass a variety of unsafe sexual practices, from anonymous partners to ‘Party and Play’ activities (PNP), slang for illegal drug use, unprotected sex, group sex and so on. These anonymous sexual encounters make it more difficult for public health officials to notify exposed partners. In addition, detailed data regarding risk behaviors are generally obtained via conventional survey techniques, which are expensive to conduct. Thus, a general method of empirically deriving large scale, location-specific behavioral data could be immensely useful in understanding or anticipating STI outbreaks. Craigslist is a website specializing in online classified advertisements around the world. Our hypothesis is that Craigslist contains rich behavioral data regarding MSM communities and that such information can function as proxy for external prevalence rates for diseases (that is, HIV/AIDS).

Objective

This paper describes a novel method of obtaining large scale, geographically diverse behavioral data about Men who use the Internet to seek Sex with Men (MSM) by examining anonymous Craigslist message posts to predict HIV/AIDS.

Submitted by Magou on
Description

The HEDSS system was implemented in 2004 to monitor disease activity.1 In all, 18 of 32 emergency departments (ED) and urgent care clinic provide data. Chief complaints are routinely categorized into eight syndromes. The fever/flu syndrome is used for early detection and monitoring of influenza in the community. Area-based measures, such as zip code, enable linkage to area-based socioeconomic census data. Neighborhood poverty, defined as the percentage of persons living below the federal poverty level in a geographic area, predicts a wide range of disease outcomes.

Objective

To describe the relationship between neighborhood poverty and emergency department visits for fever/flu syndrome illnesses reported through the Connecticut Hospital Emergency Department Syndromic Surveillance (HEDSS) system.

Submitted by uysz on