Increased emergency department chief complaints of fever identified the influenza (H1N1) pandemic before outpatient symptom surveillance

Shimoni, Zvi; Rodrig, Joseph; Dusseldorp, Natan; Niven, Mark; Froom, Paul

doi:10.1007/s12199-011-0213-2

Cited by 7 publications

(8 citation statements)

References 23 publications

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“…The most frequently used data were chief complaint or ED presentation [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41] and preliminary or discharge diagnosis codes [8], [9], [11], [16], [17], [18], [22], [23], [26], [27], [32], [33], [38], [39], [41], [42]. Other creative data used to capture influenza activity included free text analysis of the entire ED medical record, [37] Google flu trends, [25] calls to teletriage and help lines, [16], [25], [38] ambulance dispatch calls, [19], [20], [21], [30], [31], [32] case reports of H1N1 in the media, [8] ED census/”saturation”/length-of-s...…”

Section: Resultsmentioning

confidence: 99%

“…fever +/− a respiratory or constitutional complaint); however, other syndromes used for surveillance included fever alone [34], [35] and seizure. [32], [33], [41].…”

Section: Resultsmentioning

confidence: 99%

“…The observed syndromic cases based on ED data were in some cases linked to objective, confirmatory data, such as culture and other laboratory results, [8], [10], [11], [12], [14], [15], [16], [17], [18], [19], [20], [21], [24], [25], [27], [30], [31], [32], [33], [34], [35], [37], [41] and in some cases to traditional regional and national surveillance databases [9], [13], [16], [17], [22], [25], [26], [27], [29], [40], [43], historic data [44] and pneumonia and influenza weekly mortality data [12], [14].…”

Section: Resultsmentioning

confidence: 99%

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Syndromic Surveillance for Influenza in the Emergency Department–A Systematic Review

et al. 2013

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The science of surveillance is rapidly evolving due to changes in public health information and preparedness as national security issues, new information technologies and health reform. As the Emergency Department has become a much more utilized venue for acute care, it has also become a more attractive data source for disease surveillance. In recent years, influenza surveillance from the Emergency Department has increased in scope and breadth and has resulted in innovative and increasingly accepted methods of surveillance for influenza and influenza-like-illness (ILI). We undertook a systematic review of published Emergency Department-based influenza and ILI syndromic surveillance systems. A PubMed search using the keywords “syndromic”, “surveillance”, “influenza” and “emergency” was performed. Manuscripts were included in the analysis if they described (1) data from an Emergency Department (2) surveillance of influenza or ILI and (3) syndromic or clinical data. Meeting abstracts were excluded. The references of included manuscripts were examined for additional studies. A total of 38 manuscripts met the inclusion criteria, describing 24 discrete syndromic surveillance systems. Emergency Department-based influenza syndromic surveillance has been described worldwide. A wide variety of clinical data was used for surveillance, including chief complaint/presentation, preliminary or discharge diagnosis, free text analysis of the entire medical record, Google flu trends, calls to teletriage and help lines, ambulance dispatch calls, case reports of H1N1 in the media, markers of ED crowding, admission and Left Without Being Seen rates. Syndromes used to capture influenza rates were nearly always related to ILI (i.e. fever +/− a respiratory or constitutional complaint), however, other syndromes used for surveillance included fever alone, “respiratory complaint” and seizure. Two very large surveillance networks, the North American DiSTRIBuTE network and the European Triple S system have collected large-scale Emergency Department-based influenza and ILI syndromic surveillance data. Syndromic surveillance for influenza and ILI from the Emergency Department is becoming more prevalent as a measure of yearly influenza outbreaks.

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Section: Resultsmentioning

confidence: 99%

“…fever +/− a respiratory or constitutional complaint); however, other syndromes used for surveillance included fever alone [34], [35] and seizure. [32], [33], [41].…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Syndromic Surveillance for Influenza in the Emergency Department–A Systematic Review

et al. 2013

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“…During the 2009 H1N1 pandemic, infl uenza activity in emergency departments increased 2 weeks before it did in outpatient sentinel clinics. 60 The use of physician diagnosis in emergency departments proved superior to chief-complaints surveillance in the same setting. 61 However, such surveillance might be infl uenced by the staff 's knowledge of what occurrs in communities.…”

Section: Surveillance In Emergency Departmentsmentioning

confidence: 99%

Surveillance for emerging respiratory viruses

Al‐Tawfiq

Zumla

Gautret

et al. 2014

The Lancet Infectious Diseases

108

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Several new viral respiratory tract infectious diseases with epidemic potential that threaten global health security have emerged in the past 15 years. In 2003, WHO issued a worldwide alert for an unknown emerging illness, later named severe acute respiratory syndrome (SARS). The disease caused by a novel coronavirus (SARS-CoV) rapidly spread worldwide, causing more than 8000 cases and 800 deaths in more than 30 countries with a substantial economic impact. Since then, we have witnessed the emergence of several other viral respiratory pathogens including influenza viruses (avian influenza H5N1, H7N9, and H10N8; variant influenza A H3N2 virus), human adenovirus-14, and Middle East respiratory syndrome coronavirus (MERS-CoV). In response, various surveillance systems have been developed to monitor the emergence of respiratory-tract infections. These include systems based on identification of syndromes, web-based systems, systems that gather health data from health facilities (such as emergency departments and family doctors), and systems that rely on self-reporting by patients. More effective national, regional, and international surveillance systems are required to enable rapid identification of emerging respiratory epidemics, diseases with epidemic potential, their specific microbial cause, origin, mode of acquisition, and transmission dynamics.

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“…In addition, health facility in the world, such as the Taiwan Center for Disease Control and Prevention (TWCDC), has also established a syndromic surveillance system to collect epidemic data for hospitals, medical insurance and contract laboratories [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Earlier Prediction of Influenza Epidemic by Hospital-based Data in Taiwan

Fu¹,

Chen²,

Lo³

2017

dtssehs

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Abstract. In Taiwan, a pandemic with human-transmissible influenza severely affected the allocation of acute care resources. Using hospitals' clinical data may offer a unique opportunity to predict of influenza epidemic. The aim of this study was to make a use of Taipei Medical University (TMU) clinical database, which can routinely collect clinical data from the three TMU affiliated hospitals, for early predicting of influenza epidemic. We first identified the influenza-related factors through literature validation. Then we extracted the outpatient medical records (2015.06 ~ 2016.10), and through the Pearson correlation coefficient calculated the best combination of influenza detection factors. In addition, through the CUSUM control chart to establish influenza detection model. Finally, we compare the influenza surveillance model with the Taiwan Centers for Disease Control (TWCDC) to monitor the consistency of the model. During the study period, the optimal combination of influenza detection factors had the highest correlation with TWCDC ILI data and virologic surveillance data (r = 0.95086 and 0.87312, respectively; p, 0.0001). The results showed that TMU EDMF and TWCDC epidemic information trends consistent. We automatically collect clinical data to ensure the timeliness of information and 1 to 2 weeks earlier than traditional monitoring methods.

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Increased emergency department chief complaints of fever identified the influenza (H1N1) pandemic before outpatient symptom surveillance

Cited by 7 publications

References 23 publications

Syndromic Surveillance for Influenza in the Emergency Department–A Systematic Review

Syndromic Surveillance for Influenza in the Emergency Department–A Systematic Review

Surveillance for emerging respiratory viruses

Earlier Prediction of Influenza Epidemic by Hospital-based Data in Taiwan

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