A system for automated outbreak detection of communicable diseases in Germany

Eurosurveillance

Volumn 21, Issue 13, 2016, Pages

  Salmon, Maëlle ^a   Schumacher, D ^a   Burmann, H ^a   Frank, C ^a   Claus, H ^a   Hohle M ^a,b  

^a ROBERT KOCH INSTITUTE   (Germany)

^b STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CLUSTER ANALYSIS; COMMUNICABLE DISEASE; CONCEPTUAL FRAMEWORK; DISEASE SURVEILLANCE; FACILITATED COMMUNICATION; FEMALE; GERMANY; HEALTH CARE PLANNING; HUMAN; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; PRACTICE GUIDELINE; PUBLIC HEALTH; SALMONELLA; SEROTYPE; COMMUNICABLE DISEASE CONTROL; COMMUNICABLE DISEASES; DEVICES; EPIDEMIC; EPIDEMIOLOGICAL MONITORING; HEALTH SURVEY; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; MEDICAL INFORMATICS; PROCEDURES;

ALGORITHMS; COMMUNICABLE DISEASE CONTROL; COMMUNICABLE DISEASES; DATA COLLECTION; DISEASE OUTBREAKS; EPIDEMIOLOGICAL MONITORING; GERMANY; HUMANS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; POPULATION SURVEILLANCE; PUBLIC HEALTH; PUBLIC HEALTH INFORMATICS;

EID: 84962909287     PISSN: 1025496X     EISSN: 15607917     Source Type: Journal    
DOI: 10.2807/1560-7917.ES.2016.21.13.30180     Document Type: Article

References (22)

1. Faensen D, Claus H, Benzler J, Ammon A, Pfoch T, Breuer T, et al. SurvNet@RKI--a multistate electronic reporting system for communicable diseases. Euro Surveill. 2006;11(4):100-3.PMID:16645245
2. Unkel S, Farrington C, Garthwaite PH, Robertson C, Andrews N. Statistical methods for the prospective detection of infectious disease outbreaks: a review. J R Stat Soc [Ser A]. 2012;175(1):49-82. DOI: 10.1111/j.1467-985X.2011.00714.x
3. Koch J, Schrauder A, Alpers K, Werber D, Frank C, Prager R, et al. Salmonella agona outbreak from contaminated aniseed, Germany. Emerg Infect Dis. 2005;11(7):1124-7. DOI: 10.3201/eid1107.041022 PMID: 16022796
4. Cakici B, Hebing K, Grünewald M, Saretok P, Hulth A. CASE: a framework for computer supported outbreak detection. BMC Med Inform Decis Mak. 2010;10(1):14. DOI: 10.1186/1472-6947-10-14 PMID: 20226035
5. Kling AM, Hebing K, Grünewald M, Hulth A. Two years of computer supported outbreak detection in Sweden: the user’s perspective. J Health Med Informat. 2012;3(1):108. DOI:10.4172/2157-7420.1000108
6. 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(36):8-13.PMID: 20843470
7. Noufaily A, Enki DG, Farrington P, Garthwaite P, Andrews N, Charlett A. An improved algorithm for outbreak detection in multiple surveillance systems. Stat Med. 2013;32(7):1206-22. DOI: 10.1002/sim.5595 PMID: 22941770
8. Salmon M, Schumacher D, Höhle M. Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance. J Stat Softw. Forthcoming.
9. Stöcker P, Rosner B, Werber D, Kirchner M, Reinecke A, Wichmann-Schauer H, et al. Outbreak of Salmonella Montevideo associated with a dietary food supplement flagged in the Rapid Alert System for Food and Feed (RASFF) in Germany, 2010. Euro Surveill. 2011;16(50):20040.PMID:22221497
10. R Core Team. R: A Language and Environment for Statistical Computing. 2013: Vienna, Austria.
11. Höhle M. surveillance: An R package for the monitoring of infectious diseases. Comput Stat. 2007;22(4):571-82. DOI:10.1007/s00180-007-0074-8
12. Ripley B, Lapsley M. RODBC: ODBC Database Access. 2012. R package version 1.3-10
13. Reis BY, Kirby C, Hadden LE, Olson K, McMurry AJ, Daniel JB, et al. AEGIS: a robust and scalable real-time public health surveillance system. J Am Med Inform Assoc. 2007;14(5):581-8. DOI: 10.1197/jamia.M2342 PMID: 17600100
14. Microsoft. Microsoft SQL Server Analysis Services. 2012
15. Stroup DF, Williamson GD, Herndon JL, Karon JM. Detection of aberrations in the occurrence of notifiable diseases surveillance data. Stat Med. 1989;8(3):323-9. DOI: 10.1002/sim.4780080312 PMID:2540519
16. Gertler M, Dürr M, Renner P, Poppert S, Askar M, Breidenbach J, et al. Outbreak of Cryptosporidium hominis following river flooding in the city of Halle (Saale), Germany, August 2013. BMC Infect Dis. 2015;15(1):88. DOI: 10.1186/s12879-015-0807-1 PMID:25879490
17. Salmon M, Schumacher D, Stark K, Höhle M. Bayesian outbreak detection in the presence of reporting delays. Biom J. 2015;57(6):1051-67. DOI: 10.1002/bimj.201400159
18. Noufaily A, Farrington P, Garthwaite P, Enki DG, Andrews N, Charlett A. Detection of infectious disease outbreaks from laboratory data with reporting delays. J Am Stat Assoc. Published ahead of print. DOI: http://dx.doi.org/10.1080/01621459.2015.1119047
19. Höhle M, Paul M. Count data regression charts for the monitoring of surveillance time series. Comput Stat Data Anal. 2008;52(9):4357-68. DOI: 10.1016/j.csda.2008.02.015
20. Kulldorff M. SaTScan - Software for the spatial, temporal, and space-time scan statistics. Boston: Information Management Services; 2014
21. Tango T, Takahashi K, Kohriyama K. A space-time scan statistic for detecting emerging outbreaks. Biometrics. 2011;67(1):106-15. DOI: 10.1111/j.1541-0420.2010.01412.x PMID:20374242
22. Neill DB. Fast subset scan for spatial pattern detection. J R Stat Soc Series B Stat Methodol. 2012;74(2):337-60. DOI:10.1111/j.1467-9868.2011.01014.x