메뉴 건너뛰기




Volumn 10, Issue 1, 2012, Pages 131-141

Assessing the continuum of event-based biosurveillance through an operational lens

(21)  Corley, Courtney D a   Lancaster, Mary J a   Brigantic, Robert T a   Chung, James S a   Walters, Ronald A a   Arthur, Ray R b   Bruckner Lea, Cynthia J a   Calapristi, Augustin a   Dowling, Glenn c   Hartley, David M d   Kennedy, Shaun e   Kircher, Amy f   Klucking, Sara g   Lee, Eva K i   McKenzie, Taylor a   Nelson, Noele P d   Olsen, Jennifer j   Pancerella, Carmen k   Quitugua, Teresa N h   Reed, Jeremy Todd l   more..


Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; BIOSURVEILLANCE; CONSENSUS DEVELOPMENT; COST; DISASTER PLANNING; ECONOMICS; EPIDEMIC; HEALTH CARE QUALITY; HUMAN; INTERDISCIPLINARY COMMUNICATION; INTERNATIONAL COOPERATION; METHODOLOGY; ORGANIZATION AND MANAGEMENT; STANDARD; THEORETICAL MODEL; UNITED STATES;

EID: 84859165769     PISSN: 15387135     EISSN: None     Source Type: Journal    
DOI: 10.1089/bsp.2011.0096     Document Type: Article
Times cited : (11)

References (50)
  • 1
    • 0003987631 scopus 로고
    • World Health Organization, Geneva: World Health Organization
    • World Health Organization. International Health Regulations. Geneva: World Health Organization; 1969.
    • (1969) International Health Regulations
  • 2
    • 33745960394 scopus 로고    scopus 로고
    • Global public health surveillance under new International Health Regulations
    • Baker MG, Fidler DP. Global public health surveillance under new international health regulations. Emerg Infect Dis 2006 Jul;12(7):1058-1065. (Pubitemid 44061273)
    • (2006) Emerging Infectious Diseases , vol.12 , Issue.7 , pp. 1058-1065
    • Baker, M.G.1    Fidler, D.P.2
  • 3
    • 44349195788 scopus 로고    scopus 로고
    • The new International Health Regulations: Considerations for global public health surveillance
    • Nov
    • Sturtevant JL, Anema A, Brownstein JS. The new International Health Regulations: considerations for global public health surveillance. Disaster Med Public Health Prep 2007 Nov;1(2):117-121.
    • (2007) Disaster Med Public Health Prep , vol.1 , Issue.2 , pp. 117-121
    • Sturtevant, J.L.1    Anema, A.2    Brownstein, J.S.3
  • 4
    • 33846703765 scopus 로고    scopus 로고
    • World Health Organization, Geneva: World Health Organization; Accessed November 9, 2011
    • World Health Organization. Frequently Asked Questions about the International Health Regulations. Geneva: World Health Organization; 2005. http://www.who.int/csr/ihr/howtheywork/faq/en/print.html. Accessed November 9, 2011.
    • (2005) Frequently Asked Questions about the International Health Regulations
  • 5
    • 77951805970 scopus 로고    scopus 로고
    • The landscape of international event-based biosurveillance
    • Article e3
    • Hartley DM, Nelson NP, Walters RA, et al. The landscape of international event-based biosurveillance. Emerg Health Threats J 2010;3:Article e3.
    • (2010) Emerg Health Threats J , pp. 3
    • Hartley, D.M.1    Nelson, N.P.2    Walters, R.A.3
  • 6
    • 1542362335 scopus 로고    scopus 로고
    • Updated guidelines for evaluating public health surveillance systems
    • CDC Guidelines Working Group
    • CDC Guidelines Working Group. Updated guidelines for evaluating public health surveillance systems. MMWR Recomm Rep 2001;50(RR13):1-35.
    • (2001) MMWR Recomm Rep , vol.50 , Issue.RR13 , pp. 1-35
  • 7
    • 2342467296 scopus 로고    scopus 로고
    • Framework for evaluating public health surveillance systems for early detection of outbreaks: Recommendations from the CDC Working Group
    • CDC Working Group
    • Beuhler JW, Hopkins RS, Overhage J, Sosin DM, Tong V; CDC Working Group. Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. MMWR Recomm Rep 2004;53(RR-5):1-11.
    • (2004) MMWR Recomm Rep , vol.53 , Issue.RR-5 , pp. 1-11
    • Beuhler, J.W.1    Hopkins, R.S.2    Overhage, J.3    Sosin, D.M.4    Tong, V.5
  • 8
    • 84859186033 scopus 로고    scopus 로고
    • Accessed November 9, 2011
    • European Centre for Disease Prevention and Control. Framework for a Strategy for Infectious Disease Surveillance in Europe (2006-2008). 2005. http://www.ecdc.europa. eu/en/activities/surveillance/documents/0806-framework- surveillance-strategy-in-europe.pdf. Accessed November 9, 2011.
    • (2005) Framework for A Strategy for Infectious Disease Surveillance in Europe (2006-2008)
  • 10
    • 84859180219 scopus 로고    scopus 로고
    • Animals: The world's best (and cheapest) biosensors
    • Accessed November 9, 2011
    • Kahn LH. Animals: the world's best (and cheapest) biosensors. Bull At Sci 2007. http://www.thebulletin.org/webedition/columnists/laura-h-kahn/animals- the-worlds-best-andcheapest-biosensors. Accessed November 9, 2011.
    • (2007) Bull at Sci
    • Kahn, L.H.1
  • 14
    • 0035516083 scopus 로고    scopus 로고
    • National Electronic Disease Surveillance System (NEDSS): A standards-based approach to connect public health and clinical medicine
    • National Electronic Disease Surveillance System Working Group, Nov
    • National Electronic Disease Surveillance System Working Group. National Electronic Disease Surveillance System (NEDSS): a standards-based approach to connect public health and clinical medicine. J Public Health Manag Pract 2001 Nov;7(6):43-50.
    • (2001) J Public Health Manag Pract , vol.7 , Issue.6 , pp. 43-50
  • 16
  • 17
    • 79952016994 scopus 로고    scopus 로고
    • Event-based biosurveillance of respiratory disease in Mexico, 2007-2009: Connection to the 2009 influenza A(H1N1) pandemic?
    • Jul
    • Nelson NP, Brownstein JS, Hartley DM. Event-based biosurveillance of respiratory disease in Mexico, 2007-2009: connection to the 2009 influenza A(H1N1) pandemic? Euro Surveill 2010 Jul;15(30):19626.
    • (2010) Euro Surveill , vol.15 , Issue.30 , pp. 19626
    • Nelson, N.P.1    Brownstein, J.S.2    Hartley, D.M.3
  • 19
    • 34347232000 scopus 로고    scopus 로고
    • An epidemiological network model for disease outbreak detection
    • Reis BY, Kohane IS, Mandl KD. An epidemiological network model for disease outbreak detection. PLoS Med 2007;4(6):e210.
    • (2007) PLoS Med , vol.4 , Issue.6
    • Reis, B.Y.1    Kohane, I.S.2    Mandl, K.D.3
  • 21
    • 77958165608 scopus 로고    scopus 로고
    • A Bayesian spatio-temporal method for disease outbreak detection
    • Jiang X, Cooper GF. A Bayesian spatio-temporal method for disease outbreak detection. J Am Med Inform Assoc 2010; 17(4):462-471.
    • (2010) J Am Med Inform Assoc , vol.17 , Issue.4 , pp. 462-471
    • Jiang, X.1    Cooper, G.F.2
  • 22
    • 0141611062 scopus 로고    scopus 로고
    • Biosurveillance applying scan statistics with multiple, disparate data sources
    • Burkom H, Elbert E. Biosurveillance applying scan statistics with multiple, disparate data sources. J Urban Health 2003;80:i131-i2.
    • (2003) J Urban Health , vol.80
    • Burkom, H.1    Elbert, E.2
  • 23
    • 77954062567 scopus 로고    scopus 로고
    • Improving the clinical diagnosis of influenza - A comparative analysis of new influenza A (H1N1) cases
    • Ong AK, Chen MI, Lin L, et al. Improving the clinical diagnosis of influenza-a comparative analysis of new influenza A (H1N1) cases. PLoS One 2009;4(12):e8453.
    • (2009) PLoS One , vol.4 , Issue.12
    • Ong, A.K.1    Chen, M.I.2    Lin, L.3
  • 24
    • 25444463323 scopus 로고    scopus 로고
    • Syndromic surveillance on the epidemiologist's desktop: Making sense of much data
    • Hurt-Mullen K, Coberly J. Syndromic surveillance on the epidemiologist's desktop: making sense of much data. MMWR Morb Mortal Wkly Rep 2005;54:141-146.
    • (2005) MMWR Morb Mortal Wkly Rep , vol.54 , pp. 141-146
    • Hurt-Mullen, K.1    Coberly, J.2
  • 26
    • 77954076631 scopus 로고    scopus 로고
    • Global migration dynamics underlie evolution and persistence of human influenza A (H3N2)
    • Bedford T, Cobey S, Beerli P, Pascual M. Global migration dynamics underlie evolution and persistence of human influenza A (H3N2). PLoS Pathog 2010;6(5):e1000918.
    • (2010) PLoS Pathog , vol.6 , Issue.5
    • Bedford, T.1    Cobey, S.2    Beerli, P.3    Pascual, M.4
  • 30
    • 0033575369 scopus 로고    scopus 로고
    • Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya
    • DOI 10.1126/science.285.5426.397
    • Linthicum KJ, Anyamba A, Tucker CJ, Kelley PW, Myers MF, Peters CJ. Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 1999; 285(5426):397-400. (Pubitemid 29343959)
    • (1999) Science , vol.285 , Issue.5426 , pp. 397-400
    • Linthicum, K.J.1    Anyamba, A.2    Tucker, C.J.3    Kelley, P.W.4    Myers, M.F.5    Peters, C.J.6
  • 32
    • 38949148610 scopus 로고    scopus 로고
    • Global data for ecology and epidemiology: A novel algorithm for temporal Fourier processing MODIS data
    • Scharlemann JPW, Benz D, Hay SI, et al. Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. PLoS One 2008;3(1): e1408.
    • (2008) PLoS One , vol.3 , Issue.1
    • Scharlemann, J.P.W.1    Benz, D.2    Hay, S.I.3
  • 34
    • 77956012671 scopus 로고    scopus 로고
    • Social web mining and exploitation for serious applications: Technosocial predictive analytics and related technologies for public health, environmental and national security surveillance
    • Boulos MNK, Sanfilippo AP, Corley CD, Wheeler S. Social web mining and exploitation for serious applications: technosocial predictive analytics and related technologies for public health, environmental and national security surveillance. Comput Methods Programs Biomed 2010;100(1):16-23.
    • (2010) Comput Methods Programs Biomed , vol.100 , Issue.1 , pp. 16-23
    • Boulos, M.N.K.1    Sanfilippo, A.P.2    Corley, C.D.3    Wheeler, S.4
  • 35
    • 56749153062 scopus 로고    scopus 로고
    • Web data predict flu
    • Butler D. Web data predict flu. Nature 2008;456:287-288.
    • (2008) Nature , vol.456 , pp. 287-288
    • Butler, D.1
  • 36
    • 66149137223 scopus 로고    scopus 로고
    • Use of unstructured event-based reports for global infectious disease surveillance
    • May
    • Keller M, Blench M, Tolentino H, et al. Use of unstructured event-based reports for global infectious disease surveillance. Emerg Infect Dis 2009 May;15(5):689-695.
    • (2009) Emerg Infect Dis , vol.15 , Issue.5 , pp. 689-695
    • Keller, M.1    Blench, M.2    Tolentino, H.3
  • 37
    • 66149157263 scopus 로고    scopus 로고
    • Digital disease detection-harnessing the web for public health surveillance
    • May 21
    • Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection-harnessing the web for public health surveillance. New Engl J Med 2009 May 21;360(21):2153-2157.
    • (2009) New Engl J Med , vol.360 , Issue.21 , pp. 2153-2157
    • Brownstein, J.S.1    Freifeld, C.C.2    Madoff, L.C.3
  • 38
    • 84859177839 scopus 로고    scopus 로고
    • May 17, Accessed November 10, 2011
    • Google Flu Trends estimates off, study finds. Science Daily May 17, 2010. http://www.sciencedaily.com/releases/2010/05/100517101714.htm. Accessed November 10, 2011.
    • (2010) Google Flu Trends Estimates Off, Study Finds
  • 39
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak
    • Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak. PLoS One 2010;5(11):e14118.
    • (2010) PLoS One , vol.5 , Issue.11
    • Chew, C.1    Eysenbach, G.2
  • 41
  • 42
    • 71549151317 scopus 로고    scopus 로고
    • Epidemic dynamics at the human-animal interface
    • Lloyd-Smith JO, George D, Pepin KM, et al. Epidemic dynamics at the human-animal interface. Science 2009; 326(5958):1362-1367.
    • (2009) Science , vol.326 , Issue.5958 , pp. 1362-1367
    • Lloyd-Smith, J.O.1    George, D.2    Pepin, K.M.3
  • 43
    • 0141499331 scopus 로고    scopus 로고
    • Draft framework for evaluating syndromic surveillance systems
    • Sosin D. Draft framework for evaluating syndromic surveillance systems. J Urban Health 2003;80(Suppl 1):i8-i13. (Pubitemid 37490065)
    • (2003) Journal of Urban Health , vol.80 , Issue.2 SUPPL. 1
    • Sosin, D.M.1
  • 44
    • 13844271353 scopus 로고    scopus 로고
    • Bio-ALIRT biosurveillance detection algorithm evaluation
    • Siegrist D, Pavlin J. Bio-ALIRT biosurveillance detection algorithm evaluation. MMWR Morb Mortal Wkly Rep 2004;Suppl 53:152-158.
    • (2004) MMWR Morb Mortal Wkly Rep , Issue.SUPPL. 53 , pp. 152-158
    • Siegrist, D.1    Pavlin, J.2
  • 46
    • 65649126786 scopus 로고    scopus 로고
    • Swine flu outbreak out of Mexico? Scientists ponder swine flu's origins
    • May 8
    • Cohen J. Swine flu outbreak out of Mexico? Scientists ponder swine flu's origins. Science 2009 May 8;324(5928): 700-702.
    • (2009) Science , vol.324 , Issue.5928 , pp. 700-702
    • Cohen, J.1
  • 47
    • 65549120293 scopus 로고    scopus 로고
    • Infectious diseases: As swine flu circles globe, scientists grapple with basic questions
    • May 1
    • Cohen J, Enserink M. Infectious diseases: as swine flu circles globe, scientists grapple with basic questions. Science 2009 May 1;324(5927):572-573.
    • (2009) Science , vol.324 , Issue.5927 , pp. 572-573
    • Cohen, J.1    Enserink, M.2
  • 48
    • 72649087463 scopus 로고    scopus 로고
    • Imported case of Marburg hemorrhagic fever-Colorado, 2008
    • Imported case of Marburg hemorrhagic fever-Colorado, 2008.MMWRMorb MortalWkly Rep 2009;58(49):1377-1381.
    • (2009) MMWRMorb MortalWkly Rep , vol.58 , Issue.49 , pp. 1377-1381
  • 49
    • 33645472178 scopus 로고    scopus 로고
    • Confronting zoonoses, linking human and veterinary medicine
    • Apr
    • Kahn LH. Confronting zoonoses, linking human and veterinary medicine. Emerg Infect Dis 2006 Apr;12(4):556-561.
    • (2006) Emerg Infect Dis , vol.12 , Issue.4 , pp. 556-561
    • Kahn, L.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.