Collection and sharing of medical information and medical intelligence (M2I) in NATO: a transversal survey.

Introduction: There is a requirement for adequate medical expertise to be available throughout the range of potential future operations involving members of the North Atlantic Treaty Organization (NATO). The aim of this study was to assess the collection and sharing of medical intelligence and medical information (M2I) by NATO Nations, Partner Nations and NATO Command Structure and NATO Force Structure Headquarters (NCS/NFS HQs).

Materials And Methods: A transversal survey was conducted between December 2014 and March 2015 using a survey form on M2I sent to NATO Nations and Partnership for Peace (PfP) Nations as well as NCS/NFS HQs.

Monitoring of returnees from Ebola-affected areas: lessons learned based on the experience of French armed forces deployed in Guinea, 2015.

Introduction: During the 2014-15 Ebola virus disease (EVD) outbreak in West Africa, French armed forces were involved in the treatment and management of Ebola patients in Guinea. The constant flow of military personnel returning from their deployment posed a risk of secondary dissemination of the Ebola virus. Our objective was to describe the follow-up of returning service members that was implemented to prevent this risk of dissemination in France.

Evaluation and comparison of statistical methods for early temporal detection of outbreaks: A simulation-based study.

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, we performed a systematic assessment of 21 statistical algorithms, 19 implemented in the R package surveillance and two other methods. We estimated false positive rate (FPR), probability of detection (POD), probability of detection during the first week, sensitivity, specificity, negative and positive predictive values and F1-measure for each detection method.

Implementation and Initial Analysis of a Laboratory-Based Weekly Biosurveillance System, Provence-Alpes-Côte d'Azur, France.

We describe the implementation of an automated infectious disease surveillance system that uses data collected from 210 microbiologic laboratories throughout the Provence-Alpes-Côte d'Azur region in France. Each week, these facilities report bacterial species that have been isolated from patients in their area. An alarm is triggered whenever the case count for a bacterial species infection exceeds 2 SDs of the historical mean for that species at the participating laboratory.