Publications by authors named "Anne Fouillet"

Background: Yearly bronchiolitis and influenza-like illness epidemics in France often involve high morbidity and mortality, which severely impacts healthcare. Epidemics are declared by the French National Institute of Public Health based on syndromic surveillance of primary care and emergency departments (ED), using statistics-based alarms. Although the effective reproduction number (Rt) is used to monitor the dynamics of epidemics, it has never been used as an early warning tool for bronchiolitis or influenza-like illness epidemics in France.

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Article Synopsis
  • - From April 2023 to May 2024, France saw a significant increase in parvovirus B19 (B19V) infections, with IgM-positive cases four times higher than in the 2019 epidemic.
  • - Clinical data supported the rise, showing adverse health effects, especially in children, while adults mostly showed increased lab-confirmed cases.
  • - It's crucial for physicians and policymakers to be alerted so they can improve prevention, diagnosis, and management for vulnerable patients.
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  • The European Mortality Monitoring Network (EuroMOMO) noticed more people are dying than usual since late November 2023.
  • In the early weeks of 2024, there were about 95 extra deaths for every 100,000 people in Europe, mostly affecting adults aged 45 and older.
  • This rise in deaths seems to be happening because of a lot of illnesses like COVID-19, flu, and RSV during the winter season.
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Background: The effective reproduction number (Rt) quantifies the average number of secondary cases caused by one person with an infectious disease. Near-real-time monitoring of Rt during an outbreak is a major indicator used to monitor changes in disease transmission and assess the effectiveness of interventions. The estimation of Rt usually requires the identification of infected cases in the population, which can prove challenging with the available data, especially when asymptomatic people or with mild symptoms are not usually screened.

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Background: The Covid-19 epidemic entailed a major public health issue in France challenging the efficiency of the public health system. The distribution of deaths by place in France may have been affected by the epidemic and mitigation actions. This article presents mortality rate ratios by place of death in France during the first lockdown (17 March - 10 May, 2020) of the Covid-19 epidemic.

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  • The World Health Organization declared COVID-19 a pandemic on March 11, 2020, and this study aimed to assess the disease's impact in France for that year using a measure called disability-adjusted life years (DALYs).
  • The analysis utilized national data on mortality, hospital admissions, and screening, estimating a total of 990,710 DALYs lost in France in 2020, with 99% attributed to mortality and a small percentage to morbidity from symptomatic cases.
  • The findings highlighted that post-acute consequences significantly affected health outcomes, especially among younger people under 70, while the majority of life years lost occurred in individuals aged 70 and older.
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Background: The French syndromic surveillance (SyS) system, SurSaUD®, was one of the systems used to monitor the COVID-19 outbreak.

Aim: This study described the epidemiological characteristics of COVID-19-related visits to both emergency departments (EDs) and the network of emergency general practitioners known as SOS Médecins (SOSMed) in France from 17 February to 28 June 2020.

Methods: Data on all visits to 634 EDs and 60 SOSMed associations were collected daily.

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The European monitoring of excess mortality for public health action (EuroMOMO) network monitors weekly excess all-cause mortality in 27 European countries or subnational areas. During the first wave of the coronavirus disease (COVID-19) pandemic in Europe in spring 2020, several countries experienced extraordinarily high levels of excess mortality. Europe is currently seeing another upsurge in COVID-19 cases, and EuroMOMO is again witnessing a substantial excess all-cause mortality attributable to COVID-19.

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Through a weekly all-cause mortality surveillance system, we observed in France a major all-cause excess mortality from March to May 2020, concomitant with the coronavirus disease (COVID-19) epidemic. The excess mortality was 25,030 deaths, mainly among elderly people. Five metropolitan regions were the most affected, particularly Île-de-France and the Grand-Est regions.

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Article Synopsis
  • There has been a significant increase in overall deaths (excess mortality) during the COVID-19 pandemic across 24 European countries during March-April 2020.
  • The majority of excess deaths (91%) occurred in individuals aged 65 and older, while smaller percentages were seen in those aged 45-64 (8%) and 15-44 (1%).
  • No increase in deaths was recorded for children aged 0-14 years during this period.
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On 27 December 2019, the French Public Health Agency identified a large increase in the number of acute gastroenteritis and vomiting visits, both in emergency departments and in emergency general practitioners' associations providing house-calls. In parallel, on 26 and 27 December, an unusual number of food-borne events suspected to be linked to the consumption of raw shellfish were reported through the mandatory reporting surveillance system. This paper describes these concomitant outbreaks and the investigations' results.

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Background: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveillance based on medical causes of death in free-text format. Reactive mortality surveillance is based on the monitoring of mortality syndromic groups (MSGs).

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Timely mortality surveillance in France is based on the monitoring of electronic death certificates to provide information to health authorities. This study aims to analyze the performance of a rule-based and a supervised machine learning method to classify medical causes of death into 60 mortality syndromic groups (MSGs). Performance was first measured on a test set.

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Background: In France, a mortality syndromic surveillance system was set up with objectives of early detection and reactive evaluation of the impact of expected and unexpected events to support decision makers. This study aims to describe the characteristics of the system and its usefulness for decision makers.

Methods: Anonymized data from the administrative part of death certificates were daily collected from 3062 computerized city halls and were transmitted to Santé publique France in routine.

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Major sporting events may influence attendance levels at hospital emergency departments (ED). Previous research has focussed on the impact of single games, or wins/losses for specific teams/countries, limiting wider generalisations. Here we explore the impact of the Euro 2016 football championships on ED attendances across four participating nations (England, France, Northern Ireland, Wales), using a single methodology.

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Introduction: Poor air quality (AQ) is a global public health issue and AQ events can span across countries. Using emergency department (ED) syndromic surveillance from England and France, we describe changes in human health indicators during periods of particularly poor AQ in London and Paris during 2014.

Methods: Using daily AQ data for 2014, we identified three periods of poor AQ affecting both London and Paris.

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The 2014/15 influenza epidemic caused a work overload for healthcare facilities in France. The French national public health agency announced the start of the epidemic - based on indicators aggregated at the national level - too late for many hospitals to prepare. It was therefore decided to improve the influenza alert procedure through (i) the introduction of a pre-epidemic alert level to better anticipate future outbreaks, (ii) the regionalisation of surveillance so that healthcare structures can be informed of the arrival of epidemics in their region, (iii) the standardised use of data sources and statistical methods across regions.

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Article Synopsis
  • - Excess all-cause mortality has been noted in various European countries since December 2016, particularly affecting individuals aged 65 and older.
  • - Research estimated mortality linked to all causes and influenza in 19 European regions, with a significant number of deaths attributed to influenza virus A(H3N2).
  • - The rise in mortality is reminiscent of the severe influenza A(H3N2) season experienced in 2014/15, but began earlier this time due to an early influenza season onset, compounded by cold weather in certain areas.
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Introduction: Syndromic surveillance aims at augmenting traditional public health surveillance with timely information. To gain a head start, it mainly analyses existing data such as from web searches or patient records. Despite the setup of many syndromic surveillance systems, there is still much doubt about the benefit of the approach.

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Background: Electronic death certification was established in France in 2007. A methodology based on intrinsic characteristics of death certificates was designed to compare the quality of electronic versus paper death certificates.

Methods: All death certificates from the 2010 French mortality database were included.

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Within the current context that favours the emergence of new diseases, syndromic surveillance (SyS) appears increasingly more relevant tool for the early detection of unexpected health events. The Triple-S project (Syndromic Surveillance Systems in Europe), co-financed by the European Commission, was launched in September 2010 for a three year period to promote both human and animal health SyS in European countries. Objectives of the project included performing an inventory of current and planned European animal health SyS systems and promoting knowledge transfer between SyS experts.

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Introduction The French warning system for heat waves is based on meteorological forecasts. Near real-time health indicators are used to support decision-making, e.g.

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Background: Syndromic surveillance systems have been developed in recent years and are now increasingly used by stakeholders to quickly answer questions and make important decisions. It is therefore essential to evaluate the quality and utility of such systems. This study was designed to assess a syndromic surveillance system based on emergency departments' (ED) morbidity rates related to the health effects of heat waves.

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Heat waves may become a serious threat to the health and safety of people who currently live in temperate climates. It was therefore of interest to investigate whether more deprived populations are more vulnerable to heat waves. In order to address the question on a fine geographical scale, the spatial heterogeneity of the excess mortality in France associated with the European heat wave of August 2003 was analysed.

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