ICU respiratory admissions data for influenza severity surveillance?

While influenza-like-illness (ILI) surveillance is well-organized at primary care level in Europe, little data is available on more severe cases. With retrospective data from ICU's we aim to fill this current knowledge gap and to explore its worth for prospective surveillance. Using multiple parameters proposed by the World Health Organization we estimated the burden of severe acute respiratory infections (SARI) to ICU and how this varies between influenza epidemics.

June 18, 2019

Tracking Community Naloxone Dispensing: Part of a Strategy to Reduce Overdose Deaths

The number of unintentional overdose deaths in New York City (NYC) has increased for seven consecutive years. In 2017, there were 1,487 unintentional drug overdose deaths in NYC.

June 18, 2019

Implementation of an Electronic Disease Surveillance System in Guinea, 2016-2018

The West Africa Ebola outbreak of 2014-2016 demonstrated the importance of strong disease surveillance systems and the severe consequences of weak capacity to detect and respond to cases quickly. Challenges in the transmission and management of surveillance data were one factor that contributed to the delay in detecting and confirming the Ebola outbreak. To help address this challenge, we have collaborated with the U.S.

June 18, 2019

Use of ambulance dispatch calls for surveillance of severe acute respiratory infections?

Surveillance of severe influenza infections is lacking in the Netherlands. Ambulance dispatch (AD) data may provide information about severity of the influenza epidemic and its burden on emergency services. The current gold standard, primary care-based surveillance of influenza-like-illness (ILI), mainly captures mild to moderate influenza cases, and does not provide adequate information on severe disease.

June 18, 2019

Improving Integrated Disease Surveillance and Response Capacity in Guinea, 2015-2018

The 2014-2016 Ebola outbreak in Guinea revealed systematic weaknesses in the existing disease surveillance system. The lack of public health workers adequately trained in Integrated Disease Surveillance and Response (IDSR) contributed to underreporting of cases and problems with data completeness, accuracy, and reliability. These data quality issues resulted in difficulty assessing the epidemic's scale and distribution and hindered the control effort (McNamara, 2016; Bell, 2016).

June 18, 2019

Using ESSENCE to Meet Local Needs for Mental Health Data: Query & Results

Mental health is a common and costly concern; it is estimated that nearly 20 percent of adults in the United States live with a mental illness [1] and that more money is spent on mental illness than any other medical condition [2]. One spillover effect of unmet mental health needs may be increasing emergency department utilization. National analysis by Healthcare Cost and Utilization Project (H-CUP) found a 55% increase in emergency department visits for depression, anxiety, and stress reactions between 2006- 2013 [3].

June 18, 2019

A Fairer Mirror: Equity-limited Healthcare System Rankings

Healthcare systems are often evaluated using comparative health care rankings. Simulations have shown that maximally inequitable health care systems can perform well in published, influential health care system rankings by excelling in non-equity categories, resulting in highly ranked yet grossly inequitable healthcare systems. Recently, despite below average equity rankings, the healthcare systems of Australia and New Zealand ranked among the top four in The Commonwealth Fund's international comparative study Mirror, Mirror 20172.

June 18, 2019

Improving measles syndromic surveillance via dried blood spot testing in Laos 2016-17

The Lao PDR is aiming for measles elimination despite ongoing outbreaks of the disease. Outbreak detection in the country relies on recognising cases meeting a set fever and rash case definition incorporated into the syndromic surveillance system run by the National Center for Laboratory and Epidemiology (NCLE). Suspected cases are passively identified by presentations at health care facilities, with information forwarded to the NCLE's Early Alert and Response Network (EWARN) along with event-based reported data1.

June 18, 2019

Using Syndromic Surveillance Data to Aid Public Health Actions in Tennessee

Syndromic surveillance data is typically used for the monitoring of symptom combinations in patient chief complaints (i.e. syndromes) or health indicators within a population to inform public health actions. The Tennessee Department of Health collects emergency department (ED) data from more than 80 hospitals across Tennessee to support statewide situational awareness. Most hospitals in Tennessee provide data within 48 hours of the patient being seen in the emergency department.

June 18, 2019

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