Estimating the Expected Warning Time of Outbreak-Detection Algorithms

نویسندگان

  • Yanna Shen
  • Weng-Keen Wong
  • Gregory F. Cooper
چکیده

There are some existing evaluation methods, such as the AMOC curve [1], which focus on evaluating the timeliness of alerting algorithms. As the AMOC curve is typically applied in biosurveillance, it plots the expected time to computer-based detection (since the outbreak began) as a function of the false alert rate. In an EWT curve, we add a clinician model and plot the expected time that an algorithm would detect the outbreak before clinicians, as a function of the false alert rate.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ارزشیابی عملکرد الگوریتم میانگین متحرک وزن داده شده نمایی در کشف دو مورد طغیان سرخک، با استفاده از رویکرد آزمون داده‌های واقعی

Background & Objectives: Evaluating the performance of outbreak detection methods using real data testing provide the highest degree of validity. The aim of this study was to determine the performance of the Exponentially Weighted Moving Average (EWMA) in real time detection of two local outbreaks in Iran. Methods: The EWMA algorithm (both ƛ= 0.3 and 0.6) applied on daily counts of suspected ca...

متن کامل

Estimating the Number of Wideband Radio Sources

In this paper, a new approach for estimating the number of wideband sources is proposed which is based on RSS or ISM algorithms. Numerical results show that the MDL-based and EIT-based proposed algorithm havea much better detection performance than that in EGM and AIC cases for small differences between the incident angles of sources. In addition, for similar conditions, RSS algorithm offers hi...

متن کامل

Use of Control Bar Matrix for Outbreak Detection in Syndromic Surveillance System

Introduction Aberration detection methods are essential for analyzing and interpreting large quantity of nonspecific real-time data collected in syndromic surveillance system. However, the challenge lies in distinguishing true outbreak signals from a large amount of false alarm (1). The joint use of surveillance algorithms might be helpful to guide the decision making towards uncertain warning ...

متن کامل

Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding

The goals of automated biosurveillance systems are to detect disease outbreaks early, while exhibiting few false positives. Evaluation measures currently exist to estimate the expected detection time of biosurveillance systems. Researchers also have developed models that estimate clinician detection of cases of outbreak diseases, which is a process known as clinical case finding. However, littl...

متن کامل

Tsunami warning system using of IoT

Abstract   Today, the world has reached a new nature with advances in science. The Internet of Things is a technology that can connect all objects in different fields through the Internet. Any unforeseen event that destroys economic, social and physical capabilities and inflicts human and financial losses is known as a natural disaster, such as a tsunami. IoT-based tsunami forecasting system ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006