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Volumn 19, Issue 12, 2009, Pages 900-907

Spatial Analysis of Notified Cryptosporidiosis Infections in Brisbane, Australia

Author keywords

CART; Cryptosporidiosis; Socioeconomic Factors; Spatial Analysis

Indexed keywords

ARTICLE; AUSTRALIA; BAYES THEOREM; CRYPTOSPORIDIOSIS; DATA COLLECTION METHOD; DISEASE TRANSMISSION; EDUCATIONAL STATUS; HUMAN; INCIDENCE; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; SOCIOECONOMICS; STATISTICAL ANALYSIS;

EID: 70450223143     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annepidem.2009.06.004     Document Type: Article
Times cited : (10)

References (29)
  • 1
    • 0036281720 scopus 로고    scopus 로고
    • Risk and control of waterborne cryptosporidiosis
    • Rose J., Huffman D., and Gennaccaro A. Risk and control of waterborne cryptosporidiosis. FEMS Microbiol Rev 26 (2002) 113-123
    • (2002) FEMS Microbiol Rev , vol.26 , pp. 113-123
    • Rose, J.1    Huffman, D.2    Gennaccaro, A.3
  • 2
    • 34548041200 scopus 로고    scopus 로고
    • Weather variability and the incidence of cryptosporidiosis: comparison of time series Poisson regression and SARIMA models
    • Hu W., Tong S., Mengersen K., and Connell D. Weather variability and the incidence of cryptosporidiosis: comparison of time series Poisson regression and SARIMA models. Ann Epidemiol 17 (2007) 679-688
    • (2007) Ann Epidemiol , vol.17 , pp. 679-688
    • Hu, W.1    Tong, S.2    Mengersen, K.3    Connell, D.4
  • 3
    • 0030513348 scopus 로고    scopus 로고
    • Epidemiologic aspects of human cryptosporidiosis and the role of waterborne transmission
    • Meinhardt P., Casemore D., and Miller K. Epidemiologic aspects of human cryptosporidiosis and the role of waterborne transmission. Epidemiol Rev 18 (1996) 118-136
    • (1996) Epidemiol Rev , vol.18 , pp. 118-136
    • Meinhardt, P.1    Casemore, D.2    Miller, K.3
  • 4
    • 0033658151 scopus 로고    scopus 로고
    • Cryptosporidium: transmission, detection and identification
    • 1305-1233
    • Fayer R., Morgan U., and Upton S. Cryptosporidium: transmission, detection and identification. Int J Parasitol 30 (2000) 1305-1233
    • (2000) Int J Parasitol , vol.30
    • Fayer, R.1    Morgan, U.2    Upton, S.3
  • 5
    • 20544446006 scopus 로고    scopus 로고
    • Residual spatial correlation between geographically referenced observations: a Bayesian hierarchical modeling approach
    • Boyd H., Flanders W., Addiss D., and Waller L. Residual spatial correlation between geographically referenced observations: a Bayesian hierarchical modeling approach. Epidemiology 16 (2005) 532-541
    • (2005) Epidemiology , vol.16 , pp. 532-541
    • Boyd, H.1    Flanders, W.2    Addiss, D.3    Waller, L.4
  • 6
    • 0029814732 scopus 로고    scopus 로고
    • The spatial relationship between infant mortality and birth defect rates in a US city
    • Rushton G., Krishnamurthy R., and Krishnamurti D. The spatial relationship between infant mortality and birth defect rates in a US city. Stat Med 15 (1996) 1907-1919
    • (1996) Stat Med , vol.15 , pp. 1907-1919
    • Rushton, G.1    Krishnamurthy, R.2    Krishnamurti, D.3
  • 7
    • 2342614840 scopus 로고    scopus 로고
    • Comparison of statistical methods commonly used in predictive modelling
    • Munoz J., and Felicisimo A. Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science 15 (2004) 285-292
    • (2004) Journal of Vegetation Science , vol.15 , pp. 285-292
    • Munoz, J.1    Felicisimo, A.2
  • 8
    • 33646382572 scopus 로고    scopus 로고
    • GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology
    • Schroder W. GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology. Int J Med Microbiol 296 (2006) 23-36
    • (2006) Int J Med Microbiol , vol.296 , pp. 23-36
    • Schroder, W.1
  • 9
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression trees: a powerful yet simple technique for ecological data analysis
    • De'ath G., and Fabricius K. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81 (2000) 3178-3192
    • (2000) Ecology , vol.81 , pp. 3178-3192
    • De'ath, G.1    Fabricius, K.2
  • 10
    • 0034482845 scopus 로고    scopus 로고
    • Regression-tree modelling of desert tortoise habitat in the central Mojave desert
    • Andersen M., Watts J., Freilich J., Yool S., Wakefield G., McMcauley J., et al. Regression-tree modelling of desert tortoise habitat in the central Mojave desert. Ecol Appl 10 (2000) 890-900
    • (2000) Ecol Appl , vol.10 , pp. 890-900
    • Andersen, M.1    Watts, J.2    Freilich, J.3    Yool, S.4    Wakefield, G.5    McMcauley, J.6
  • 13
    • 70450223413 scopus 로고    scopus 로고
    • Australian Department of Health and Aged Care. National Notifiable Diseases Surveillance System. Available at: http://www1.health.gov.au/cda/Source/CDA-index.cfm, 2007. Accessed 20 January 2009.
    • Australian Department of Health and Aged Care. National Notifiable Diseases Surveillance System. Available at: http://www1.health.gov.au/cda/Source/CDA-index.cfm, 2007. Accessed 20 January 2009.
  • 14
    • 70450225133 scopus 로고    scopus 로고
    • MapInfo Corporation. MapInfo professional software 7.0. New York, 2003.
    • MapInfo Corporation. MapInfo professional software 7.0. New York, 2003.
  • 15
    • 70450224154 scopus 로고    scopus 로고
    • Phoenix AR, GeoDa;
    • AnselinL. GeoDa. Phoenix (AR): GeoDa; 2005.
    • (2005)
    • AnselinL1    GeoDa2
  • 18
    • 43049092540 scopus 로고    scopus 로고
    • Seattle WA, S-Plus Insightful Corporation;
    • S-Plus 6 for Windows. Seattle (WA): S-Plus Insightful Corporation; 2003.
    • (2003) 6 for Windows
    • S-Plus1
  • 20
    • 12144256255 scopus 로고    scopus 로고
    • Exploratory disease mapping: kriging the spatial risk function from regional count data
    • Berke O. Exploratory disease mapping: kriging the spatial risk function from regional count data. Int J Health Geogr 3 (2004) 18
    • (2004) Int J Health Geogr , vol.3 , pp. 18
    • Berke, O.1
  • 23
    • 70450223006 scopus 로고    scopus 로고
    • ArcView, GIS3.1. Redlands (CA): Environmental Systems Research Institute; 1998.
    • ArcView, GIS3.1. Redlands (CA): Environmental Systems Research Institute; 1998.
  • 25
    • 0142211030 scopus 로고    scopus 로고
    • Risk factors leading to Cryptosporidium infection in men who have sex with men
    • Hellard M., Hocking J., Willis J., Dore G., and Fairley C. Risk factors leading to Cryptosporidium infection in men who have sex with men. Sex Transm Infect 79 (2003) 412-414
    • (2003) Sex Transm Infect , vol.79 , pp. 412-414
    • Hellard, M.1    Hocking, J.2    Willis, J.3    Dore, G.4    Fairley, C.5
  • 26
    • 36148973989 scopus 로고    scopus 로고
    • Case-control study of environmental and social factors influencing cryptosporidiosis
    • Lake I., Harrison F., Chalmers R., Bentham G., Nichols G., Hunter P., et al. Case-control study of environmental and social factors influencing cryptosporidiosis. Eur J Epidemiol 22 (2007) 805-811
    • (2007) Eur J Epidemiol , vol.22 , pp. 805-811
    • Lake, I.1    Harrison, F.2    Chalmers, R.3    Bentham, G.4    Nichols, G.5    Hunter, P.6
  • 27
    • 0034483678 scopus 로고    scopus 로고
    • Use of passive surveillance data to study temporal and spatial variation in the incidence of giardiasis and cryptosporidiosis
    • Naumova E., Chen J., Griffiths J., Matyas B., Estes-Smargiassi S., and Morris R. Use of passive surveillance data to study temporal and spatial variation in the incidence of giardiasis and cryptosporidiosis. Public Health Rep 115 (2000) 436-447
    • (2000) Public Health Rep , vol.115 , pp. 436-447
    • Naumova, E.1    Chen, J.2    Griffiths, J.3    Matyas, B.4    Estes-Smargiassi, S.5    Morris, R.6
  • 28
    • 0026710523 scopus 로고
    • Empirical Bayes versus fully Bayesian analysis of geographical variation in disease risk
    • Bernardinelli L., and Montomoli C. Empirical Bayes versus fully Bayesian analysis of geographical variation in disease risk. Stat Med 11 (1992) 983-1007
    • (1992) Stat Med , vol.11 , pp. 983-1007
    • Bernardinelli, L.1    Montomoli, C.2
  • 29
    • 62849096842 scopus 로고    scopus 로고
    • Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping
    • Ugarte M., Goicoaa T., and Militino A. Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping. Comput Statist Dat Anal 53 (2008) 2938-2949
    • (2008) Comput Statist Dat Anal , vol.53 , pp. 2938-2949
    • Ugarte, M.1    Goicoaa, T.2    Militino, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.