Author ' s response to reviews Modeling and detection of respiratory - related outbreaks using chest radiograph data
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Modeling and detection of respiratory-related outbreak signatures
BACKGROUND Time series methods are commonly used to detect disease outbreak signatures (e.g., signals due to influenza outbreaks and anthrax attacks) from varying respiratory-related diagnostic or syndromic data sources. Typically this involves two components: (i) Using time series methods to model the baseline background distribution (the time series process that is assumed to contain no outbr...
متن کاملارزشیابی عملکرد الگوریتم میانگین متحرک وزن داده شده نمایی در شناسایی طغیان های آنفلونزا در ایران
Background: Timely response to influenza outbreaks using Influenza like illness (ILI) data is one of the most important priorities for public health authorities. The aim of this study was to evaluate the performance of the Exponentially Weighted Moving Average (EWMA) for timely detection of influenza outbreaks in Iran using simulated approaches from January 2010 to December 2015. Methods: Simu...
متن کاملThe Analysis of Bayesian Probit Regression of Binary and Polychotomous Response Data
The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...
متن کاملارزشیابی عملکرد الگوریتم مجموع تراکمی در کشف طغیان
Background & Objectives: Timely response to emerging diseases and outbreaks are a major public health and health systems priority. There are few published studies that evaluate the performance of cumulative sum (CUSUM) on identical data using semi- synthetic simulation approach. This study was undertaken to determine the performance of the CUSUM in timely detection of 831 days of simulated outb...
متن کاملEarly Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method. Methods: This time series study was conducted using the data of the National Surveillance System between 2014 and 2017. The...
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