Since December 2016, excess all-cause mortality was observed in many European
countries, especially among people aged≥ 65 years. We estimated all-cause and influenza …

The objective of this paper is to evaluate a panel of statistical algorithms for temporal
outbreak detection. Based on a large dataset of simulated weekly surveillance time series …

Ross River virus (RRV) is a mosquito-borne virus endemic to Australia. The disease, marked
by arthritis, myalgia and rash, has a complex epidemiology involving several mosquito …

We describe the implementation of an automated infectious disease surveillance system that
uses data collected from 210 microbiologic laboratories throughout the Provence-Alpes …

Acute Respiratory Infection (ARI) diseases are a major cause of hospitalization and death
worldwide. They are the leading cause of morbidity in developed countries and the leading …

Background: There is no published study evaluating the performance of cumulative sum
(CUSUM) algorithm on meningitis data with limited baseline period. This study aimed to …

Delayed reporting of health data may hamper the early detection of infectious diseases in
surveillance systems. Furthermore, combining multiple data streams, eg aiming at improving …

Social networks are becoming a valuable source of information for applications in many
domains. In particular, many studies have highlighted the potential of social networks for …

To compare the performance of the standard Historical Limits Method (HLM), with a modified
HLM (MHLM), the Farrington-like Method (FLM), and the Serfling-like Method (SLM) in …

Surveillance data collected on several hundred different infectious organisms over 20 years
have revealed striking power relationships between their variance and mean in successive …