Surveillance of community outbreaks of respiratory tract infections based on house-call visits in the metropolitan area of Athens, Greece

PLoS ONE

Volumn 7, Issue 8, 2012, Pages

  Spanos, Alex ^a   Theocharis, George ^b   Karageorgopoulos, Drosos E ^a   Peppas, George ^b   Fouskakis, Dimitris ^c   Falagas, Matthew E ^a,d,e  

^a ALFA INSTITUTE OF BIOMEDICAL SCIENCES AIBS   (Greece)

^b SOS Doctors   (Greece)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^d HENRY DUNANT HOSPITAL   (Greece)

^e TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA PROCESSING; DISEASE COURSE; DISEASE SURVEILLANCE; EPIDEMIC; GREECE; HEALTH SERVICE; HOUSE CALL VISIT; HUMAN; MEDICAL SPECIALIST; METROPOLITAN AREA; OBSERVATION; RESPIRATORY TRACT INFECTION; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SOCIAL NETWORK; STANDARD; STATISTICAL ANALYSIS; TIME SERIES ANALYSIS; URBAN AREA;

CITIES; DISEASE OUTBREAKS; GREECE; HOUSE CALLS; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; REFERENCE STANDARDS; REGRESSION ANALYSIS; RESPIRATORY TRACT INFECTIONS; RETROSPECTIVE STUDIES; SEASONS; TIME FACTORS; URBAN POPULATION;

EID: 84864720608     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0040310     Document Type: Article

References (37)

1. Garibaldi RA, (1985) Epidemiology of community-acquired respiratory tract infections in adults. Incidence, etiology, and impact. Am J Med 78: 32-37.
2. Jennings LC, Anderson TP, Werno AM, Beynon KA, Murdoch DR, (2004) Viral etiology of acute respiratory tract infections in children presenting to hospital: role of polymerase chain reaction and demonstration of multiple infections. Pediatr Infect Dis J 23: 1003-1007.
3. Falagas ME, Karageorgopoulos DE, Moraitis LI, Vouloumanou EK, Roussos N, et al. (2009) Seasonality of mortality: the September phenomenon in Mediterranean countries. CMAJ 181: 484-486.
4. Wagner MM, Tsui FC, Espino JU, Dato VM, Sittig DF, et al. (2001) The emerging science of very early detection of disease outbreaks. J Public Health Manag Pract 7: 51-59.
5. Serfling RE, (1963) Methods for current statistical analysis of excess pneumonia-influenza deaths. Public Health Rep 78: 494-506.
6. Costagliola D, Flahault A, Galinec D, Garnerin P, Menares J, et al. (1991) A routine tool for detection and assessment of epidemics of influenza-like syndromes in France. Am J Public Health 81: 97-99.
7. Cowling BJ, Wong IO, Ho LM, Riley S, Leung GM, (2006) Methods for monitoring influenza surveillance data. Int J Epidemiol 35: 1314-1321.
8. Hutwagner L, Browne T, Seeman GM, Fleischauer AT, (2005) Comparing aberration detection methods with simulated data. Emerg Infect Dis 11: 314-316.
9. Hutwagner LC, Maloney EK, Bean NH, Slutsker L, Martin SM, (1997) Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks. Emerg Infect Dis 3: 395-400.
10. Peppas G, Theocharis G, Karveli EA, Falagas ME, (2006) An analysis of patient house calls in the area of Attica, Greece. BMC Health Serv Res 6: 112.
11. Falagas ME, Peppas G, Matthaiou DK, Karageorgopoulos DE, Karalis N, et al. (2009) Effect of meteorological variables on the incidence of lower urinary tract infections. Eur J Clin Microbiol Infect Dis 28: 709-712.
12. Falagas ME, Theocharis G, Spanos A, Vlara LA, Issaris EA, et al. (2008) Effect of meteorological variables on the incidence of respiratory tract infections. Respir Med 102: 733-737.
13. Pelat C, Boelle PY, Cowling BJ, Carrat F, Flahault A, et al. (2007) Online detection and quantification of epidemics. BMC Med Inform Decis Mak 7: 29.
14. du Prel JB, Puppe W, Grondahl B, Knuf M, Weigl JA, et al. (2009) Are meteorological parameters associated with acute respiratory tract infections? Clin Infect Dis 49: 861-868.
15. Hawkins DM, Olwell DH (1998) Cumulative sum charts and charting for quality improvement. New York: Springer.
16. Oakland JS (2007) Statistical process control. Oxford, UK: Elsevier.
17. Pham H (2006) Springer handbook of engineering statistics. Berlin Heidelberg New York: Springer.
18. Montgomery DC (2009) Introduction to statistical quality control. New York: John Wiley & Sons.
19. Ryan TP (2007) Modern engineering statistics. New Jersey, USA: Wiley-Interscience.
20. Wagner MM, Moore AW, Aryel RM (2006) Handbook of biosurveillance. Burlington, Mass: Academic Press.
21. Lenz HJ, Wilrich PT, Schmid W, (2001) Frontiers in Statistical Quality Control 9: Physica-Verlag.
22. Wilson EB, (1927) Probable inference, the law of succession, and statistical inference. J Am Stat Assoc 22: 209-212.
23. R Development Core Team R: A Language and Environment for Statistical Computing. Vienna ARFfSC, ISBN 3-900051-07-0. Available: http://www.R-project.org. Accessed 2012 Feb 14.
24. Chowell G, Bertozzi SM, Colchero MA, Lopez-Gatell H, Alpuche-Aranda C, et al. (2009) Severe respiratory disease concurrent with the circulation of H1N1 influenza. N Engl J Med 361: 674-679.
25. Gault G, Larrieu S, Durand C, Josseran L, Jouves B, et al. (2009) Performance of a syndromic system for influenza based on the activity of general practitioners, France. J Public Health (Oxf) 31: 286-292.
26. Foldy SL, (2004) Linking better surveillance to better outcomes. MMWR Morb Mortal Wkly Rep 53 (Suppl): 12-17.
27. Lazarus R, Kleinman KP, Dashevsky I, DeMaria A, Platt R, (2001) Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infection. BMC Public Health 1: 9.
28. Falagas ME, Koletsi PK, Baskouta E, Rafailidis PI, Dimopoulos G, et al. (2011) Pandemic A(H1N1) 2009 influenza: review of the Southern Hemisphere experience. Epidemiol Infect 139: 27-40.
29. Karageorgopoulos DE, Vouloumanou EK, Korbila IP, Kapaskelis A, Falagas ME, (2011) Age distribution of cases of 2009 (H1N1) pandemic influenza in comparison with seasonal influenza. PLoS One 6: e21690.
30. Henning KJ, (2004) What is syndromic surveillance? MMWR Morb Mortal Wkly Rep 53 (Suppl): 5-11.
31. Han SW, Tsui KL, Ariyajunya B, Kim SB, (2010) A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in Poisson rates. Quality and Reliability Engineering International 26: 279-289.
32. Heisterkamp SH, Dekkers AL, Heijne JC, (2006) Automated detection of infectious disease outbreaks: hierarchical time series models. Stat Med 25: 4179-4196.
33. Lu HM, Zeng D, Chen H, (2010) Prospective infectious disease outbreak detection using Markov switching models. IEEE Transactions on Knowledge & Data Engineering 22: 565-577.
34. Martinez-Beneito MA, Conesa D, Lopez-Quilez A, Lopez-Maside A, (2008) Bayesian Markov switching models for the early detection of influenza epidemics. Stat Med 27: 4455-4468.
35. Rath TM, Carreras M, Sebastiani P (2003) Automated detection of influenza epidemics with hidden Markov models. Automated detection of influenza epidemics with hidden Markov models. Berthold MR, Lenz HJ, Bradley E, Kruse R, Borgelt C, editors. Berlin: Springer.
36. Sebastiani P, Mandl KD, Szolovits P, Kohane IS, Ramoni MF, (2006) A Bayesian dynamic model for influenza surveillance. Stat Med 25: 1803-1816 discussion 1817-1825.
37. Unkel S, Farrington CP, Garthwaite PH, Robertson C, Andrews N, (2010) Statistical methods for the prospective detection of infectious disease outbreaks: a review.