To predict the performance of outbreak detection algorithms under different circumstances which will guide the method selection and algorithm configuration in surveillance systems, to characterize the dependence of the performance of detection algorithms on the type and severity of outbreak, to develop quantitative evidence about de-terminants of detection performance
The aim is to detect an influenza outbreak as soon as possible. Data are weekly reports of number of...
A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in...
BACKGROUND: An increasing number of methods are being developed for the early detection of infectiou...
The choice of outbreak detection algorithm and its configuration result in variations in the perform...
AbstractObjectiveTo develop a probabilistic model for discovering and quantifying determinants of ou...
The objective of this paper is to evaluate a panel of statistical algorithms for temporal outbreak d...
AbstractPublic health agencies and other groups have invested considerable resources in automated su...
We evaluated a novel strategy to improve the performance of outbreak detection algorithms, namely se...
<div><p>The objective of this paper is to evaluate a panel of statistical algorithms for temporal ou...
AbstractPublic health agencies and other groups have invested considerable resources in automated su...
We performed a simulation study in order to evaluate performance of 8 algorithms used in health surv...
We evaluated a novel strategy to improve the performance of outbreak detection algorithms, namely se...
AbstractThe threat of bioterrorism has stimulated interest in enhancing public health surveillance t...
AbstractBackgroundMany researchers have evaluated the performance of outbreak detection algorithms w...
This chapter describes the methodological issues involved in outbreak detection and gives examples f...
The aim is to detect an influenza outbreak as soon as possible. Data are weekly reports of number of...
A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in...
BACKGROUND: An increasing number of methods are being developed for the early detection of infectiou...
The choice of outbreak detection algorithm and its configuration result in variations in the perform...
AbstractObjectiveTo develop a probabilistic model for discovering and quantifying determinants of ou...
The objective of this paper is to evaluate a panel of statistical algorithms for temporal outbreak d...
AbstractPublic health agencies and other groups have invested considerable resources in automated su...
We evaluated a novel strategy to improve the performance of outbreak detection algorithms, namely se...
<div><p>The objective of this paper is to evaluate a panel of statistical algorithms for temporal ou...
AbstractPublic health agencies and other groups have invested considerable resources in automated su...
We performed a simulation study in order to evaluate performance of 8 algorithms used in health surv...
We evaluated a novel strategy to improve the performance of outbreak detection algorithms, namely se...
AbstractThe threat of bioterrorism has stimulated interest in enhancing public health surveillance t...
AbstractBackgroundMany researchers have evaluated the performance of outbreak detection algorithms w...
This chapter describes the methodological issues involved in outbreak detection and gives examples f...
The aim is to detect an influenza outbreak as soon as possible. Data are weekly reports of number of...
A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in...
BACKGROUND: An increasing number of methods are being developed for the early detection of infectiou...