Flamand Claude

Arboviral infections have become a significant public health problem with the emergence and re-emergence of arboviral diseases worldwide in recent decades. Given the increasing number of cases, geographic spread, but also health, social and economic impact of arboviral outbreaks, estimating their true burden represents a crucial issue but remains a difficult task. In French Guiana, the epidemiology of arboviral diseases has been marked by the occurrence several major dengue fever (DENV) outbreaks over the past few decades, recent emergences of Chikungunya (CHKV) and Zika virus (ZIKV) and the circulation of Mayaro virus (MAYV).

Objective: To assess the level of circulation of DENV, CHIKV, ZIKV, MAYV in French Guiana.

Recent health events in France, such as the dramatic excess of mortality occurred during the 2003 heat wave showed the need for a better provision of information to health authorities. A new syndromic surveillance system based on the recording of general practitioner’s visits by SOS Médecins has been developed by the Aquitaine Regional Epidemiology unit (Cire).

Objective

To describe the surveillance system based on SOS Medecins data, the first GP emergency and healthcare network in France and to show the utility and validity of this data source as a real-time syndromic surveillance system.

In July 2006, an important heat wave occurred in France, and generated alarm of all the public health services. In Gironde, a department in region Aquitaine, the level of "warning and actions" of the Heat Health Watch Warning System, based on an analysis of weather-mortality relationship, was activated from the 16th and the 27th of July, when the limits of biometeorological indicators were reached [1].

Objective

To assess health impact of heat wave occurred in July 2006 through data from emergency activity and mortality from syndromic surveillance systems in Gironde, a department in south-western France.

In France, surveillance of seasonal gastroenteritis uses to be monitored by an information system based on a computer network of physicians so called Sentinel Network (1). Regionally, the use of this system as limitations. SOS Medecin is an organization of general practitioners, present in many French cities, which undertakes home medical visits 24hrs a day, 7 days a week. In Bordeaux, this organization makes a daily transmission of every diagnostic related to their visits.

Objective

To construct an indicator adapted for syndromic surveillance of seasonal gastroenteritis based on data from "SOS Medecin" in the city of Bordeaux, France.

Epidemic dynamics of dengue fever are driven by complex interactions between hosts, vectors and viruses that are influenced by environmental and climatic factors [1]. The development of new methods to identify such specific characteristics becomes crucial to better understand and control spatiotemporal transmission. We concentrated our efforts on applying sequential pattern mining [2] to an epidemiological and meteorological dataset to identify potential drivers of dengue fever outbreaks.

Objective

We used a data mining method based on sequential patterns extraction to identify local meteorological drivers of dengue fever epidemics in French Guiana.

The aim of the study is to evaluate the detection properties of different algorithms across a range of outbreak and time series characteristics.