Infectious Disease

Reliable detection and accurate scoping of outbreaks of foodborne illness are the keys to effective mitigation of their impacts. However, relatively small number of persons affected and underreporting, challenge the reliability of surveillance models. In this work, we correlate a record of identified outbreaks and sporadic cases of Salmonellosis in humans retained in PulseNet1, and diagnosis codes in hospital claims collected in California from 2006 to 2010. We hypothesize that the data support and reliability of detection could be improved by including cases in which Salmonella infection may be confused2.

Objective

To investigate utility of using inpatient and emergency room diagnoses to detect outbreaks of Salmonellosis in humans. To quantify the impact of including in the analysis cases diagnosed with conditions that may have physiological appearance similar to Salmonellosis.

In light of recent communicable disease outbreaks, the ability of Florida Department of HealthÕs (FDOH) syndromic surveillance system, ESSENCE-FL, to identify emergent disease outbreaks using reportable disease data and algorithms originally designed for emergency department chief complaint data was examined. Preliminary work on this analysis presented last year was recently updated and expanded to include additional diseases, further levels of locale, and detector algorithm comparisons. Cases are entered into Merlin, the Bureau of EpidemiologyÕs secure web-based reporting and epidemiologic analysis system, by all 67 county health departments and the de-identified case data are sent hourly to ESSENCE-FL. These data are then available for ad hoc queries, allowing users to observe unusual changes in disease activity and assist in timely identification of infectious disease outbreaks. Based on system algorithms, weekly case tallies are assigned an increasing intensity awareness status from normal to alert and are monitored by county and state epidemiologists to guide timely disease control efforts, but may not by themselves be definitive actionable information.

Objective

To determine if there is an association between known outbreak activity and ESSENCE generated alerts. 

In 2012, an outbreak of Mycobacterium chelonae infections in tattoo recipients in Rochester, NY was found to be associated with premixed tattoo ink contaminated before distribution.1 In May 2012, a case of M. chelonae was reported in a New York City (NYC) resident who received a tattoo with ink alleged to have been diluted with tap water. When a second case of M. chelonae in a tattoo recipient was reported in March 2013, an investigation was initiated. M. chelonae is not reportable in NYC other than in clusters reported by providers or laboratories. To determine if there were additional tattoo-associated M. chelonae infections, we searched for cases using NYC ED syndromic surveillance.

Objective

To investigate tattoo-associated skin infections due to Mycobacterium chelonae using Emergency Department (ED) syndromic surveillance.

The 122 Cities Mortality Reporting System (CMRS) has been used for pneumonia and influenza monitoring in the U.S. since the early 20th century. The 122 CMRS is regarded as the timeliest source of mortality data, with the majority of deaths being reported to the system within two weeks. However, while it excels at timeliness it lacks detail, accuracy and completeness. Deaths are counted during the week that the death certificate was filed and not during the week in which the death occurred and the system only covers approximately 25% of the U.S. population. Also, while the standard case definition for 122 CMRS is a death in which pneumonia or influenza is listed anywhere on the death certificate; not all sites follow this definition (i.e. some sites only use pneumonia or influenza listed only as the underlying cause of death) [1]. 

Objective

To increase the accuracy, completeness, and detail of data as well as decrease the resources needed to conduct pneumonia and influenza mortality surveillance in the U.S.

Pandemic 2009 H1N1 influenza and recent H7N9 influenza outbreaks made the public aware of the threat of influenza infection. In fact, annual influenza epidemic caused heavy disease burden and high economic loss around the world [1, 2]. Although the virological surveillance provided the high sensitivity and specificity for testing results, the timeliness and the cost of the test were not feasible for extensive public health surveillance. In addition, traditional sentinel physician surveillance also encountered many challenges such as the representativeness and reporting bias. The seamless surveillance system without extra labor reporting would be the ideal approach. Taiwan had as high as 99% of health insurance coverage. The real-time monitoring of the ILI clinical visits in the communities could reflect the severity of influenza epidemics. In this study, we used an innovative two-stage approach for detecting aberrations during 2009 pandemic influenza in Taiwan.

Objective

This study proposed a two-stage approach for early detection of aberrations of influenza-like illness (ILI) using the small-area based claim data of outpatient and emergency room visit.

Clostridium difficile (CD) is an important cause of antibiotic and hospital-associated infection. This preventable infection also plays a major role in hospital readmissions, mostly in the elderly, leading to the CMS implementing rules to penalize hospitals with higher rates, in the Hospital Value Based Purchasing Program1.

Objective

To profile the demographic characteristics of the Medicare Advantage(MA) population with this infection and analyze trends in readmissions, mortality, emergency room(ER) visits and observation room(OR) stays from 2008-2011.

Symptoms of influenza-like illness (ILI) were reported daily by health workers via the integrated syndromic surveillance system in rural China (ISSC)(1).

Objective

To analyze the growth and variation of ILI reports using individual growth curve model.

Numerous studies have demonstrated a causal relationship between human papillomavirus (HPV) and cervical cancer1. By 2007 two vaccines targeting HPV were available in the United States. Both vaccines have shown close to 100% efficacy against HPV types 16 and 18, the cause of 70% of all cervical cancers2. It is hypothesized that with routine vaccination the prevalence of HPV and HPV-associated cancers should decline3. A need exists for surveillance with national coverage2. The purpose of this study is to present a method to estimate rate of change of high-risk HPV in the United States since 2004 in women using national reference laboratory data.

Objective

To establish and evaluate an HPV surveillance protocol and determine the rate of change of high-risk HPV in the United States since 2004 using archived reference laboratory data.

In 2003, the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia estimated that approximately 1 million people in the United States were living with HIV/AIDS, and that approximately 25% these were undiagnosed and unaware of their HIV infection. For many such patients the emergency department may be the only part of the health care system that is utilized. In 2006, the CDC revised their recommendations for HIV testing in a variety of care settings including the emergency department (ED). Early identification and treatment improves survival for patients with HIV. Earlier testing programs including those provided in the ED may lead to earlier detection and further reduction in the transmission of HIV in the United States. (1,2,3,4,5) High risk patients should recieve screening for HIV and those patients who have a lab test for GC/chlamydia represent a high risk patient popualtion.(4) While the ED is a frequent health care access point for patients seeking evaluation for sexually transmitted diseases, ED providers may not be following guidlines for HIV testing in high risk patients.

Objective

To assess compliance with CDC and USPSTF guidelines for HIV testing in a regional cohort of emergency departments.