Read by QxMD icon Read

Predicting Influenza outbreak

shared collection
8 papers 0 to 25 followers
Pamela A Meyer, Ana Penman-Aguilar, Vincent A Campbell, Corinne Graffunder, Ann E O'Connor, Paula W Yoon
The reports in this supplement document persistent disparities between some population groups in health outcomes, access to health care, adoption of health promoting behaviors, and exposure to health-promoting environments. Some improvements in overall rates and even reductions in some health disparities are noted; however, many gaps persist. These finding highlight the importance of monitoring health status, outcomes, behaviors, and exposures by population groups to assess trends and target interventions. In this report, disparities were found between race and ethnic groups across all of the health topics examined...
November 22, 2013: MMWR Supplements
David L Buckeridge
Public health agencies and other groups have invested considerable resources in automated surveillance systems over the last decade. These systems generally follow syndromes in pre-diagnostic data drawn from sources such as emergency department visits. A main goal of syndromic surveillance systems is to detect outbreaks rapidly and the number of studies evaluating outbreak detection has increased recently. This paper reviews these studies with the goal of identifying the determinants of outbreak detection in automated syndromic surveillance systems...
August 2007: Journal of Biomedical Informatics
Justin R Boyle, Ross S Sparks, Gerben B Keijzers, Julia L Crilly, James F Lind, Louise M Ryan
OBJECTIVE: To describe the use of surveillance and forecasting models to predict and track epidemics (and, potentially, pandemics) of influenza. METHODS: We collected 5 years of historical data (2005-2009) on emergency department presentations and hospital admissions for influenza-like illnesses (International Classification of Diseases [ICD-10-AM] coding) from the Emergency Department Information System (EDIS) database of 27 Queensland public hospitals. The historical data were used to generate prediction and surveillance models, which were assessed across the 2009 southern hemisphere influenza season (June-September) for their potential usefulness in informing response policy...
February 21, 2011: Medical Journal of Australia
Geoffrey Hall, Thomas Krahn, Adam Van Dijk, Gerald Evans, Kieran Moore, Allison Maier, Anna Majury
BACKGROUND: Seasonal outbreaks of winter respiratory viruses are responsible for increases in morbidity and mortality in the community. Previous studies have used hospitalizations, intensive care unit and emergency department (ED) visits as indicators of seasonal influenza incidence. OBJECTIVES: To evaluate whether ED visits can be used as a proxy to detect respiratory viral disease outbreaks, as measured by laboratory confirmation. METHODS: An Emergency Department Syndromic Surveillance system was used to collect ED chief complaints in Eastern Ontario from 2006 to 2010...
2013: Canadian Journal of Infectious Diseases & Medical Microbiology
Larissa S May, Beth Ann Griffin, Nicole Maier Bauers, Arvind Jain, Marsha Mitchum, Neal Sikka, Marianne Carim, Michael A Stoto
BACKGROUND: The purpose of syndromic surveillance is early detection of a disease outbreak. Such systems rely on the earliest data, usually chief complaint. The growing use of electronic medical records (EMR) raises the possibility that other data, such as emergency department (ED) diagnosis, may provide more specific information without significant delay, and might be more effective in detecting outbreaks if mechanisms are in place to monitor and report these data. OBJECTIVE: The purpose of this study is to characterize the added value of the primary ICD-9 diagnosis assigned at the time of ED disposition compared to the chief complaint for patients with influenza-like illness (ILI)...
February 2010: Western Journal of Emergency Medicine
Joseph R Egger, Anne G Hoen, John S Brownstein, David L Buckeridge, Donald R Olson, Kevin J Konty
No abstract text is available yet for this article.
August 2012: Emerging Infectious Diseases
Donald R Olson, Richard T Heffernan, Marc Paladini, Kevin Konty, Don Weiss, Farzad Mostashari
BACKGROUND: The importance of understanding age when estimating the impact of influenza on hospitalizations and deaths has been well described, yet existing surveillance systems have not made adequate use of age-specific data. Monitoring influenza-related morbidity using electronic health data may provide timely and detailed insight into the age-specific course, impact and epidemiology of seasonal drift and reassortment epidemic viruses. The purpose of this study was to evaluate the use of emergency department (ED) chief complaint data for measuring influenza-attributable morbidity by age and by predominant circulating virus...
August 2007: PLoS Medicine
Melanie Besculides, Richard Heffernan, Farzad Mostashari, Don Weiss
BACKGROUND: School absenteeism data may have utility as an early indicator of disease outbreaks, however their value should be critically examined. This paper describes an evaluation of the utility of school absenteeism data for early outbreak detection in New York City (NYC). METHODS: To assess citywide temporal trends in absenteeism, we downloaded three years (2001-02, 2002-03, 2003-04) of daily school attendance data from the NYC Department of Education (DOE) website...
2005: BMC Public Health
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"