APIC State-of-the-art Report: The role of the infection preventionist in emergency management

Rebmann, Terri

doi:10.1016/j.ajic.2008.12.002

Cited by 19 publications

(22 citation statements)

References 34 publications

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“…Although hospital and ED planners often rely on information from their individual facilities, integration of broader surveillance information from the city, state, or national level can provide increased awareness and earlier detection of an impending threat [33], [34], [35], [36]. Previously, hospital and ED planners have used surveillance information to understand disease prevalence for testing and treatment decisions, institute infection control precautions to contain outbreaks, and anticipate ED surge [33], [34], [35], [36].…”

Section: Discussionmentioning

confidence: 99%

“…Previously, hospital and ED planners have used surveillance information to understand disease prevalence for testing and treatment decisions, institute infection control precautions to contain outbreaks, and anticipate ED surge [33], [34], [35], [36]. Particularly for anticipation or detection of ED surge, surveillance has lead to increased ED capacity and staffing, purchase of additional supplies, and reallocation of hospital resources such as staffing and beds [33], [36].…”

Section: Discussionmentioning

confidence: 99%

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Influenza Forecasting with Google Flu Trends

et al. 2013

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BackgroundWe developed a practical influenza forecast model based on real-time, geographically focused, and easy to access data, designed to provide individual medical centers with advanced warning of the expected number of influenza cases, thus allowing for sufficient time to implement interventions. Secondly, we evaluated the effects of incorporating a real-time influenza surveillance system, Google Flu Trends, and meteorological and temporal information on forecast accuracy.MethodsForecast models designed to predict one week in advance were developed from weekly counts of confirmed influenza cases over seven seasons (2004–2011) divided into seven training and out-of-sample verification sets. Forecasting procedures using classical Box-Jenkins, generalized linear models (GLM), and generalized linear autoregressive moving average (GARMA) methods were employed to develop the final model and assess the relative contribution of external variables such as, Google Flu Trends, meteorological data, and temporal information.ResultsA GARMA(3,0) forecast model with Negative Binomial distribution integrating Google Flu Trends information provided the most accurate influenza case predictions. The model, on the average, predicts weekly influenza cases during 7 out-of-sample outbreaks within 7 cases for 83% of estimates. Google Flu Trend data was the only source of external information to provide statistically significant forecast improvements over the base model in four of the seven out-of-sample verification sets. Overall, the p-value of adding this external information to the model is 0.0005. The other exogenous variables did not yield a statistically significant improvement in any of the verification sets.ConclusionsInteger-valued autoregression of influenza cases provides a strong base forecast model, which is enhanced by the addition of Google Flu Trends confirming the predictive capabilities of search query based syndromic surveillance. This accessible and flexible forecast model can be used by individual medical centers to provide advanced warning of future influenza cases.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Influenza Forecasting with Google Flu Trends

et al. 2013

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“…[6] Study has shown that nurses' tendency to respond to hazardous incidents such as biological events may depend on their own personal and domestic safety as well as having the required clinical competencies, and such matters should be taken into account. [2526] There are numerous international reports regarding secondary contamination of hospital staff after incidents involving chemical and biological hazards. Therefore, employees should increase their knowledge about the standard decontamination process, managing the infected waste and contaminated bodies.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, employees should increase their knowledge about the standard decontamination process, managing the infected waste and contaminated bodies. [252658]…”

Section: Discussionmentioning

confidence: 99%

“…[26] Failure in planning for biological disasters is due to the lack of standards or guidelines for the preparedness of health care and treatment centers. [27] The first step toward this direction is to assess the preparedness of hospitals in facing biological disasters as well as to increase the capacity and capability of hospitals in such incidents.…”

Section: Introductionmentioning

confidence: 99%

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Hospital management preparedness tools in biological events: A scoping review

Aminizadeh

Farrokhi

Ebadi

et al. 2019

J Edu Health Promot

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Emergency Preparedness

Andersen¹

2019

Prevention and Control of Infections in Hospitals

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Outbreaks of infectious diseases during peacetime or in disaster/war-related conditions, may most often need an effective crisis management in the hospital. The emergency preparedness in hospitals may vary within, and between countries, dependent on endemic and epidemic conditions, capacity, knowledge and economy. Lack of preparedness may result in a high risk of disease burden and death and cause a high economic impact on the health care.

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APIC State-of-the-art Report: The role of the infection preventionist in emergency management

Abstract: Infection preventionists need to become more involved in emergency management at the personal, facility, and community level. This report outlines the infection preventionist's responsibilities related to emergency management.

Cited by 19 publications

References 34 publications

Influenza Forecasting with Google Flu Trends

Influenza Forecasting with Google Flu Trends

Hospital management preparedness tools in biological events: A scoping review

Emergency Preparedness

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