EpiScanGIS: An online geographic surveillance system for meningococcal disease

International Journal of Health Geographics

Volumn 7, Issue , 2008, Pages

  Reinhardt, Markus ^a,c   Elias, Johannes ^a   Albert, Jürgen ^a   Frosch, Matthias ^a   Harmsen, Dag ^b,c   Vogel, Ulrich ^a  

^a UNIVERSITY OF WÜRZBURG   (Germany)

^b UNIVERSITY OF MÜNSTER   (Germany)

^c Ridom GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; EARLY WARNING SYSTEM; GIS; HEALTH SERVICES; INFECTIOUS DISEASE; MENINGITIS; PATHOGEN; PUBLIC HEALTH; REAL TIME; SPATIOTEMPORAL ANALYSIS; VISUALIZATION; WORLD WIDE WEB;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

ARTICLE; GEOGRAPHIC INFORMATION SYSTEM; GERMANY; HEALTH SURVEY; HUMAN; INTERNET; MENINGOCOCCOSIS; METHODOLOGY;

GEOGRAPHIC INFORMATION SYSTEMS; GERMANY; HUMANS; INTERNET; MENINGOCOCCAL INFECTIONS; POPULATION SURVEILLANCE;

EID: 48449097227     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-7-33     Document Type: Article

References (54)

1. Brooker S Rowlands M Haller L Savioli L Bundy DA Towards an atlas of human helminth infection in sub-Saharan Africa: The use of geographical information systems (GIS) Parasitol Today 2000, 16:303-307 10.1016/ S0169-4758(00)01687-2 10858650
2. Cairncross S Muller R Zagaria N Dracunculiasis (Guinea worm disease) and the eradication initiative Clin Microbiol Rev 2002, 15:223-246 118073 11932231 10.1128/CMR.15.2.223-246.2002
3. WHO, Programmes and projects, Public Health Mapping and GIS http://www.who.int/health_mapping/en/
4. Rolfhamre P Grabowska K Ekdahl K Implementing a public web based GIS service for feedback of surveillance data on communicable diseases in Sweden BMC Infect Dis 2004, 4:17 441378 15191619 10.1186/1471-2334-4-17
5. Faensen D Claus H Benzler J Ammon A Pfoch T Breuer T SurvNet®KI - a multistate electronic reporting system for communicable diseases Euro Surveill 2006, 11:100-103 16645245
6. Zenilman JM Ellish N Fresia A Glass G The geography of sexual partnerships in Baltimore: Applications of core theory dynamics using a geographic information system Sex Transm Dis 1999, 26:75-81 10.1097/ 00007435-199902000-00002 10029979
7. Kho A Johnston K Wilson J Wilson SJ Implementing an animated geographic information system to investigate factors associated with nosocomial infections: A novel approach Am J Infect Control 2006 34 578 582 10.1016/ j.ajic.2006.02.007 17097452
8. Uphoff H Stalleicken I Bartelds A Phiesel B Kistemann BT Are influenza surveillance data useful for mapping presentations? Virus Res 2004, 103:35-46 10.1016/j.virusres.2004.02.010 15163486
9. Shuai J Buck P Sockett P Aramini J Pollari F A GIS-driven integrated real-time surveillance pilot system for national West Nile virus dead bird surveillance in Canada Int J Health Geogr 2006, 5:17 1482309 16626490 10.1186/1476-072X-5-17
10. Odoi A Martin SW Michel P Middleton D Holt J Wilson J Investigation of clusters of giardiasis using GIS and a spatial scan statistic Int J Health Geogr 2004, 3:11 436063 15176979 10.1186/1476-072X-3-11
11. Ali M Emch M Donnay JP Yunus M Sack RB Identifying environmental risk factors for endemic cholera: A raster GIS approach Health Place 2002, 8:201-210 10.1016/S1353-8292(01)00043-0 12135643
12. Kistemann T Zimmer S Vagsholm I Andersson Y GIS-supported investigation of human EHEC and cattle VTEC O157 infections in Sweden: Geographical distribution, spatial variation and possible risk factors Epidemiol Infect 2004, 132:495-505 10.1017/S0950268803001729 15188718
13. Yilma JM Malone JB A geographic information system forecast model for strategic control of fasciolosis in Ethiopia Vet Parasitol 1998, 78:103-127 10.1016/S0304-4017(98)00136-8 9735916
14. Soumare B Tempia S Cagnolati V Mohamoud A Van HG Berkvens D Screening for Rift Valley fever infection in northern Somalia: A GIS based survey method to overcome the lack of sampling frame Vet Microbiol 2007, 121:249-256 10.1016/j.vetmic.2006.12.017 17257783
15. Tachiiri K Klinkenberg B Mak S Kazmi J Predicting outbreaks: A spatial risk assessment of West Nile virus in British Columbia Int J Health Geogr 2006, 5:21 1523258 16704737 10.1186/1476-072X-5-21
16. Tanser F Lesueur D Solarsh G Wilkinson D HIV heterogeneity and proximity of homestead to roads in rural South Africa: An exploration using a geographical information system Trop Med Int Health 2000, 5:40 46 10.1046/j.1365-3156.2000.00513.x 10672204
17. Williams CJ Willocks LJ Lake IR Hunter PR Geographic correlation between deprivation and risk of meningococcal disease: An ecological study BMC Public Health 2004, 4:30 503390 15274745 10.1186/1471-2458-4-30
18. Rogers DJ Randolph SE Studying the global distribution of infectious diseases using GIS and RS Nat Rev Microbiol 2003, 1:231-237 10.1038/ nrmicro776 15035027
19. Rinaldi L Fusco G Musella V Veneziano V Guarino A Taddei R Neospora caninum in pastured cattle: Determination of climatic, environmental, farm management and individual animal risk factors using remote sensing and geographical information systems Vet Parasitol 2005, 128:219-230 10.1016/j.vetpar.2004.12.011 15740859
20. Hinman SE Blackburn JK Curtis A Spatial and temporal structure of typhoid outbreaks in Washington, D.C., 1906-1909: Evaluating local clustering with the Gi* statistic Int J Health Geogr 2006, 5:13 1444925 16566830 10.1186/1476-072X-5-13
21. Wood MJ Cosgrove CL Wilkin TA Knowles SC Day KP Sheldon BC Within-population variation in prevalence and lineage distribution of avian malaria in blue tits, Cyanistes caeruleus Mol Ecol 2007, 16:3263-3273 10.1111/j.1365-294X.2007.03362.x 17651202
22. Dreesman J Scharlach H [Spatial-statistical analysis of infectious disease notification data in lower saxony] Gesundheitswesen 2004, 66:783-789 10.1055/s-2004-813825 15609212
23. Gaudart J Poudiougou B Dicko A Ranque S Toure O Sagara I Space-time clustering of childhood malaria at the household level: A dynamic cohort in a Mali village BMC Public Health 2006, 6:286 1684261 17118176 10.1186/ 1471-2458-6-286
24. Tiwari N Adhikari CM Tewari A Kandpal V Investigation of geo-spatial hotspots for the occurrence of tuberculosis in Almora district, India, using GIS and spatial scan statistic Int J Health Geogr 2006, 5:33 1557839 16901341 10.1186/1476-072X-5-33
25. Rosenstein NE Perkins BA Stephens DS Popovic T Hughes JM Meningococcal disease N Engl J Med 2001, 344:1378-1388 10.1056/NEJM200105033441807 11333996
26. Stephens DS Conquering the meningococcus FEMS Microbiol Rev 2007, 31:3-14 10.1111/j.1574-6976.2006.00051.x 17233633
27. Maiden MC Bygraves JA Feil E Morelli G Russell JE Urwin R Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms Proc Natl Acad Sci USA 1998, 95:3140-3145 19708 9501229 10.1073/pnas.95.6.3140
28. Caugant DA Froholm LO Bovre K Holten E Frasch CE Mocca LF Intercontinental spread of a genetically distinctive complex of clones of Neisseria meningitidis causing epidemic disease Proc Natl Acad Sci USA 1986, 83:4927-4931 323857 3088568 10.1073/pnas.83.13.4927
29. Jolley KA Brehony C Maiden MC Molecular typing of meningococci: recommendations for target choice and nomenclature FEMS Microbiol Rev 2007, 31:89-96 10.1111/j.1574-6976.2006.00057.x 17168996
30. Jolley KA Maiden MC AgdbNet - antigen sequence database software for bacterial typing BMC Bioinformatics 2006, 7:314 1543660 16790057 10.1186/ 1471-2105-7-314
31. Elias J Harmsen D Claus H Hellenbrand W Frosch M Vogel U Spatiotemporal analysis of invasive meningococcal disease, Germany Emerg Infect Dis 2006, 12:1689-1695 17283618
32. Elias J Claus H Frosch M Vogel U Evidence for Indirect Nosocomial Transmission of Neisseria meningitidis Resulting in Two Cases of Invasive Meningococcal Disease J Clin Microbiol 2006, 44:4276-4278 1698315 16943350 10.1128/JCM.00613-06
33. Schrauder A Claus H Elias J Vogel U Haas W Hellenbrand W Capture-recapture analysis to estimate the incidence of invasive meningococcal disease in Germany, 2003 Epidemiol Infect 2006, 135:657-664 10.1017/S0950268806007151 16938141
34. Kulldorff M A spatial scan statistic Commun Stat-Theor M 1997, 26:1481-1496 10.1080/03610929708831995
35. Mostashari F Kulldorff M Hartman JJ Miller JR Kulasekera V Dead bird clusters as an early warning system for West Nile virus activity Emerg Infect Dis 2003, 9:641-646 12781002
36. Kulldorff M Heffernan R Hartman J Assuncao R Mostashari F A space-time permutation scan statistic for disease outbreak detection PLoS Med 2005, 2:e59 548793 15719066 10.1371/journal.pmed.0020059
37. Giuliani MM du-Bobie J Comanducci M Arico B Savino S Santini L A universal vaccine for serogroup B meningococcus Proc Natl Acad Sci USA 2006, 103:10834-10839 2047628 16825336 10.1073/pnas.0603940103
38. Cooke RP Riordan T Jones DM Painter MJ Secondary cases of meningococcal infection among close family and household contacts in England and Wales, 1984-7 BMJ 1989, 298:555-558 1835902 2495111
39. Hastings L Stuart J Andrews N Begg N A retrospective survey of clusters of meningococcal disease in England and Wales, 1993 to 1995: Estimated risks of further cases in household and educational settings Commun Dis Rep CDR Rev 1997, 7:R195-R200 9447784
40. Jackson LA Schuchat A Reeves MW Wenger JD Serogroup C meningococcal outbreaks in the United States. An emerging threat JAMA 1995, 273:383-389 10.1001/jama.273.5.383 7823383
41. Almog R Block C Gdalevich M Lev B Wiener M Ashkenazi S First recorded outbreaks of meningococcal disease in the Israel Defence Force: Three clusters due to serogroup C and the emergence of resistance to rifampicin Infection 1994, 22:69-71 10.1007/BF01739006 8070932
42. Taha MK Achtman M Alonso JM Greenwood B Ramsay M Fox A Serogroup W135 meningococcal disease in Hajj pilgrims Lancet 2000, 356:2159 10.1016/ S0140-6736(00)03502-9 11191548
43. Memish ZA Meningococcal disease and travel Clin Infect Dis 2002, 34:84-90 10.1086/323403 11731951
44. Boulos MN Honda K Web GIS in practice IV: Publishing your health maps and connecting to remote WMS sources using the Open Source UMN MapServer and DM Solutions MapLab Int J Health Geogr 2006, 5:6 1352347 16420699 10.1186/1476-072X-5-6
45. Takahashi K Kulldorff M Tango T Yih K A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring Int J Health Geogr 2008, 7:14 2386448 18402711 10.1186/1476-072X-7-14
46. Tango T Takahashi K A flexibly shaped spatial scan statistic for detecting clusters Int J Health Geogr 2005, 4:11 1173134 15904524 10.1186/1476-072X-4-11
47. JAVA SE Overview http://java.sun.com/javase
48. PostgreSQL http://www.postgresql.org
49. The Apache Software Foundation http://www.apache.org/
50. MAPSERVER http://mapserver.gis.umn.edu
51. PostGIS http://postgis.refractions.net
52. The Apache Software Foundation, Struts http://struts.apache.org/
53. SaTScan http://www.satscan.org
54. NSA, Security Enhanced Linux http://www.nsa.gov/selinux