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Volume 23, Number 4—April 2017
Synopsis

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

Michael HuartComments to Author , Gabriel Bedubourg, Cédric Abat, Philippe Colson, Jean Marc Rolain, Hervé Chaudet, Pierre Edouard Fournier, Didier Raoult, and Xavier Deparis
Author affiliations: Centre d’Epidémiologie et de Santé Publique des Armées, Marseille, France (M. Huart, G. Bedubourg, X. Deparis); Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, Aix-Marseille Université, Marseille (M. Huart, C. Abat, P. Colson, J.M. Rolain, H. Chaudet, P.E. Fournier, D. Raoult); Fondation Institut Hospitalo-Universitaire Méditerranée Infection–Assistance Publique-Hôpitaux de Marseille, Marseille (M. Huart, C. Abat, P. Colson, J.M. Rolain, P.E. Fournier, D. Raoult); Sciences Economiques et Sociales de la Santé et Traitement de l’Information Médicale, Aix Marseille Université, Marseille (M. Huart, C. Abat, P. Colson, J.M. Rolain, P.E. Fournier, D. Raoult)

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Figure 2

Flow diagram of all epidemiologic surveillance systems implemented by the Institut Hospitalo-Universitaire Méditérannée Infection, Assistance Publique-Hôpitaux de Marseille, France. ARS, Agence Régionale de Santé (Regional Health Agency); BALYSES, Bacterial Real-Time Laboratory-Based Surveillance System; CDS, Centre de Santé (Health Center); CHG, Centre Hospitalier Général (General Hospital Center); CHU, Centre Hospitalier Universitaire (Central University Hospital); CLIN, Comité de Lutte contre

Figure 2. Flow diagram of all epidemiologic surveillance systems implemented by the Institut Hospitalo-Universitaire Méditérannée Infection, Assistance Publique-Hôpitaux de Marseille, France. ARS, Agence Régionale de Santé (Regional Health Agency); BALYSES, Bacterial Real-Time Laboratory-Based Surveillance System; CDS, Centre de Santé (Health Center); CHG, Centre Hospitalier Général (General Hospital Center); CHU, Centre Hospitalier Universitaire (Central University Hospital); CLIN, Comité de Lutte contre les Infections Nosocomiales (Committee for the Fight Against Nosocomial Infections); DGS, Direction Générale de la Santé (Directorate General for Health); EPIMIC, Epidemiologic Surveillance and Alert Based on Microbiological Data; IHU/AP-HM, Institut Hospitalo-Universitaire/Assistance Publique-Hôpitaux de Marseille; INVS, Institut Nationale de Veille Sanitaire (National Institute for Public Health Surveillance); LABM, Laboratoire de Biologie Médicale (Medical Laboratory); MARSS, Marseille Antibiotic Resistance Surveillance System; PACASurvE, Provence Alpes Côte d’Azur Surveillance Epidemiologic System. Diagram is based on the workflow described by Abat et Al. 2013 (10).

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References
  1. Raoult  D. The causes underlying the emergence of disease agents [in French]. Annales des Mines—Responsabilité et Environnement. 2008;3:21–4. https://dx.doi.org/10.3917/re.051.0021
  2. GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385:11771. DOIPubMedGoogle Scholar
  3. Declich  S, Carter  AO. Public health surveillance: historical origins, methods and evaluation. Bull World Health Organ. 1994;72:285304.PubMedGoogle Scholar
  4. M’ikanatha  N, de Valk  H, Lynfield  R, Van Benden  C. Infectious disease surveillance: a cornerstone for prevention and control. In: M’ikanatha N, de Valk H, Lynfield R, Van Benden C, editors. Introduction to infectious disease surveillance. 2nd ed. Oxford: John Wiley & Sons; 2013. p. 1–20.
  5. Morens  DM, Folkers  GK, Fauci  AS. The challenge of emerging and re-emerging infectious diseases. Nature. 2004;430:2429. DOIPubMedGoogle Scholar
  6. De Cos  H. Treatise on the airs, waters, and places. In: É Littré. Complete works of Hippocrates [in French]. Vol. 2. Paris: J.B. Baillière; 1840. p. 1–93.
  7. Abat  C, Chaudet  H, Rolain  J-M, Colson  P, Raoult  D. Traditional and syndromic surveillance of infectious diseases and pathogens. Int J Infect Dis. 2016;48:228. DOIPubMedGoogle Scholar
  8. Buckeridge  D. Detection of outbreaks using laboratory data: an epidemiological perspective [cited 2016 Dec 22]. https://www.inspq.qc.ca/sites/default/files/jasp/archives/2006/jasp2006-laboratoire-lbuckeridge1.pdf
  9. Colson  P, Rolain  J-M, Abat  C, Charrel  R, Fournier  P-E, Raoult  D. EPIMIC: a simple homemade computer program for real-time epidemiological surveillance and alert based on microbiological data. PLoS One. 2015;10:e0144178. DOIPubMedGoogle Scholar
  10. Abat  C, Chaudet  H, Colson  P, Rolain  J-M, Raoult  D. Real-time microbiology laboratory surveillance system to detect abnormal events and emerging infections, Marseille, France. Emerg Infect Dis. 2015;21:130210. DOIPubMedGoogle Scholar
  11. Seng  P, Abat  C, Rolain  JM, Colson  P, Lagier  J-C, Gouriet  F, et al. Identification of rare pathogenic bacteria in a clinical microbiology laboratory: impact of matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol. 2013;51:218294. DOIPubMedGoogle Scholar
  12. Plouin-Gaudon  I, Vanhems  P, Allard  R, Sahajian  F, Fabry  J. [Surveillance of laboratory based infections by biological and medical analyses: review of the literature] [in French]. Sante Publique. 2000;12:14959.PubMedGoogle Scholar
  13. Enki  DG, Noufaily  A, Garthwaite  PH, Andrews  NJ, Charlett  A, Lane  C, et al. Automated biosurveillance data from England and Wales, 1991-2011. Emerg Infect Dis. 2013;19:3542. DOIPubMedGoogle Scholar
  14. Walckiers  D, Vandepitte  J, Stroobant  A, Cornelis  R, Van Casteren  VD, Walckiers  JV. A new method of surveillance of infectious diseases in Belgium: the “Vigie” network of microbiology laboratories [in French]. Med Mal Infect. 1986;16:14750. DOIGoogle Scholar
  15. French National Institute of Statistics and Economic Studies. Legal population in force as of January 1, 2014: census of population [in French] [cited 2016 Apr 1]. https://www.insee.fr/fr/statistiques/fichier/2119747/dep91.pdf
  16. Hulth  A, Andrews  N, Ethelberg  S, Dreesman  J, Faensen  D, van Pelt  W, et al. Practical usage of computer-supported outbreak detection in five European countries. Euro Surveill. 2010;15:19658.PubMedGoogle Scholar
  17. R Core Team. R: a language and environment for statistical computing [cited 2016 Dec 22]. http://www.R-project.org
  18. Hutwagner  L, Thompson  W, Seeman  GM, Treadwell  T. The bioterrorism preparedness and response Early Aberration Reporting System (EARS). J Urban Health. 2003;80(Suppl 1):i8996.PubMedGoogle Scholar
  19. Wang  X, Zeng  D, Seale  H, Li  S, Cheng  H, Luan  R, et al. Comparing early outbreak detection algorithms based on their optimized parameter values. J Biomed Inform. 2010;43:97103. DOIPubMedGoogle Scholar
  20. Abat  C, Huart  M, Garcia  V, Dubourg  G, Raoult  D. Enterococcus faecalis urinary-tract infections: do they have a zoonotic origin? J Infect. 2016;2016:305–13. https://dx.doi.org/10.1016/j.jinf.2016.07.012PubMedGoogle Scholar
  21. Lagier  J-C, Dubourg  G, Cassir  N, Fournier  P-E, Colson  P, Richet  H, et al. Clostridium difficile 027 emerging outbreak in Marseille, France. Infect Control Hosp Epidemiol. 2013;34:133941. DOIPubMedGoogle Scholar
  22. Huart  M, Abat  C, Jimeno  MT, Deparis  X, Raoult  D, Fournier  P-E. Compared lethality rates of Clostridium difficile infections at the local, regional and national levels in France. New Microbes New Infect. 2016;14:67. DOIPubMedGoogle Scholar
  23. Lagier  J-C, Delord  M, Million  M, Parola  P, Stein  A, Brouqui  P, et al. Dramatic reduction in Clostridium difficile ribotype 027-associated mortality with early fecal transplantation by the nasogastric route: a preliminary report. Eur J Clin Microbiol Infect Dis. 2015;34:1597601 . https://dx.doi.org/10.1007/s10096-015-2394-xPubMedGoogle Scholar
  24. Walckiers  D, Stroobant  A, Yourassowsky  E, Lion  J, Cornelis  R. A sentinel network of microbiological laboratories as a tool for surveillance of infectious diseases in Belgium. Epidemiol Infect. 1991;106:297303. DOIPubMedGoogle Scholar
  25. Kalish  BT, Gaydos  CA, Hsieh  Y-H, Christensen  BE, Carroll  KC, Cannons  A, et al. National survey of Laboratory Response Network sentinel laboratory preparedness. Disaster Med Public Health Prep. 2009;3(Suppl):S1723. DOIPubMedGoogle Scholar
  26. Walckiers  D, Van Ros  G, Stroobant  A. [Monitoring of malaria in Belgium through a network of microbiology laboratories] [in French]. Ann Soc Belg Med Trop. 1986;66:1521.PubMedGoogle Scholar
  27. Silva  JC, Shah  SC, Rumoro  DP, Bayram  JD, Hallock  MM, Gibbs  GS, et al. Comparing the accuracy of syndrome surveillance systems in detecting influenza-like illness: GUARDIAN vs. RODS vs. electronic medical record reports. Artif Intell Med. 2013;59:16974. DOIPubMedGoogle Scholar
  28. Farrington  CP, Andrews  NJ, Beale  AD, Catchpole  MA. A statistical algorithm for the early detection of outbreaks of infectious disease. J R Stat Soc Ser A Stat Soc. 1996;159:54763. DOIGoogle Scholar
  29. Buckeridge  DL, Burkom  H, Campbell  M, Hogan  WR, Moore  AW. Algorithms for rapid outbreak detection: a research synthesis. J Biomed Inform. 2005;38:99113. DOIPubMedGoogle Scholar
  30. Fricker  RD Jr, Hegler  BL, Dunfee  DA. Comparing syndromic surveillance detection methods: EARS’ versus a CUSUM-based methodology. Stat Med. 2008;27:340729. DOIPubMedGoogle Scholar

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Page updated: March 16, 2017
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