Journal ArticleDOI
Real-time monitoring of events applied to syndromic surveillance
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TLDR
This article will discuss and compare the approaches of using an Exponentially Weighted Moving Average (EWMA) statistic for the TBEs to the EWMA of counts, and has a robust monitoring plan which is able to efficiently detect many different levels of shifts.Abstract:
This article focuses on monitor plans aimed at the early detection of the increase in the frequency of events. The literature recommends either monitoring the time between events (TBE) if events ar...read more
Citations
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Likelihood-based EWMA charts for monitoring Poisson count data with time-varying sample sizes
TL;DR: In this article, the authors argue that some of these charts, which perform quite well in terms of average run length (ARL), may not be appealing in practice because they have rather unsatisfactory run length distributions.
Journal ArticleDOI
Harnessing Tweets for Early Detection of an Acute Disease Event.
TL;DR: This research presents a novel probabilistic approach that allows us to assess the importance of knowing the carrier and removal status of canine coronavirus, as a source of infection for other animals.
Journal ArticleDOI
Automated monitoring of tweets for early detection of the 2014 Ebola epidemic.
Aditya Joshi,Ross Sparks,Sarvnaz Karimi,Sheng-Lun Jason Yan,Abrar Ahmad Chughtai,Cecile Paris,C. Raina MacIntyre,C. Raina MacIntyre +7 more
TL;DR: It is demonstrated the value of social media for automated surveillance of infectious diseases such as the West Africa Ebola epidemic by experimenting with two variations of an existing surveillance architecture that aggregates tweets related to different symptoms together, and considers tweets about each symptom separately.
Journal ArticleDOI
Multivariate time-between-events monitoring: An overview and some overlooked underlying complexities
TL;DR: In this paper, the authors present some underlying complexities that have been overlooked in the literature for monitoring multivariate time-between-events (TBE) data and present a method for classifying multivar...
References
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Journal ArticleDOI
Generalized additive models for location, scale and shape
TL;DR: The generalized additive model for location, scale and shape (GAMLSS) as mentioned in this paper is a general class of statistical models for a univariate response variable, which assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects.
Journal ArticleDOI
Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
TL;DR: GAMLSS as discussed by the authors is a general framework for fitting regression type models where the distribution of the response variable does not have to belong to the exponential family and includes highly skew and kurtotic continuous and discrete distribution.
Journal ArticleDOI
An Adaptive Exponentially Weighted Moving Average Control Chart
Giovanna Capizzi,Guido Masarotto +1 more
TL;DR: Comparisons of the standard and worst-case average run length profiles of the new scheme with those of different control charts show that AEWMA schemes offer a more balanced protection against shifts of different sizes.
Journal ArticleDOI
CUSUM Charts for Signalling Varying Location Shifts
TL;DR: The conventional cumulative sum (CUSUM) with k = 0.5 is often used as the default CUSUM statistic when future shifts are unknown as discussed by the authors, and it is designed to be efficient at sig...
Journal ArticleDOI
Monitoring goat and sheep milk somatic cell counts
Max Paape,G.R. Wiggans,Douglas D. Bannerman,David L. Thomas,A.H. Sanders,Antonio Contreras,Paolo Moroni,R.H. Miller +7 more
TL;DR: Non-infectious factors such as parity and stage of lactation had minimal effects on MSCC for cows and sheep, but had a major impact on counts for goats, and need to be considered when establishing legal limits for goat milk.