In Reunion Island, the non-specific surveillance was mainly developed during A(H1N1) influenza pandemic in 2009. In March 2010, a new surveillance system was implemented from National Health Insurance data. This monitoring was based on the weekly consultation number and home visits by general practitioners.
Objective
To assess the ability to detect an unusual health event from National Health Insurance data.
This paper assesses the possible interest of using of a syndromic surveillance system based on emergency departments (ED) and crude mortality for monitoring health effects of climate changes (CC).
Most of the time, health consequences of heat waves are serious. Heat wave response plans were developed for reducing health effects but even if they are very efficient it is not possible to eliminate all health consequences. It is therefore necessary to develop a flexible health surveillance system capable of rapidly identifying the population health burden of elevated temperature. This study focused on the Year 2006 summer heat wave, which resulted in 2,000 deaths in a 2 week period. This study represents the first opportunity to test the capabilities of a syndromic surveillance system to provide pertinent information and define appropriate indicators.
Objective
The objective of the study is to evaluate the value of a syndromic surveillance system during a heat wave and propose pertinent indicators.
The 2003 heat wave in France (15,000 extra deaths in 10 days) led the French institute for public health surveillance to modify its public health surveillance system. One of the major objectives of this program was a real time surveillance based on emergency departments (EDs). Trials experiments started in 2004 with a daily automatic data collection from 20 hospitals in the Paris area. The objectives of this new system were: 1) to detect early all threats for public health; and 2) to measure the impact of an identified phenomena.
In 2006 France was concerned by a new heat wave. It was the opportunity for recording health data during a hot period through this real time system.
Objective
This paper describes the performances of a syndromic surveillance system based on EDs during a heat wave.
Following the heat wave that scorched France in August 2003 a national daily gathering of mortality data was decided in link with the National Institute for Statistics and Economic Studies (Insee). Such gathering is based on Public Records Office equipped with the appropriate software in order to transmit their data to Insee. Then data received daily are transmitted automatically to the National Institut for Health Surveillance. Data are encrypted and transmitted 7 days per week through direct FTP in a pretermined format. For each death certificate, the following information are recorded: zip code, age, sex, date of death.
A pilot test started in June, 2004 with 147 cities for one year. The good evaluation of the system pushed to enlarge it to all eligible cities in France. The enlarged system started on November 1, 2005 and concerned 1,152 Public Records Office which represents around 75% of the daily French mortality.
Reunion Island (population 770,000) is being affected by the most important outbreak of chikungunya disease ever described in the medical literature. Between March 1, 2005 and May 30, 2006, an estimated 255,000 cases have been reported in this French territory located in the Indian Ocean. The vast majority of the cases have been occurring from mid-December, with a peak of 45000 cases week 5, 2006.
The disease is a self-limiting febrile viral disease characterised by arthralgia or arthritis. The symptoms may last for several months but recovery was, until now, considered universal.
Objective
This paper describes the on going surveillance of mortality during the largest outbreak of chikungunya ever known. It is based on a new automatic gathering of mortality data and it is also the first opportunity to test this system in real condition.
The aim of the study is to evaluate the detection properties of different algorithms across a range of outbreak and time series characteristics.
The French syndromic surveillance system SurSaUD was set up by the French institute for public health surveillance (InVS) in 2004. The system is based on three main data sources: 1) the attendances in the Emergency departments (ED), 2) the consultations to emergency General Practitioners’ associations SOS Médecins, 3) the mortality data from civil status offices and e-certificates.
In 2012, 400 of the 710 ED and 59 of the 62 GP’s associations are involved in the system. 80% of the national mortality is also collected. Given this large database and the need to analyze data in a short delay to reach the early warning objective of the system, a specific software has been developed.
Objective
The presentation describes the design and the main functionalities of the software developed to support the data management and data analysis of the French syndromic surveillance system.