Östersund map SaTScan™ - Software for the spatial, temporal, and space-time scan statistics New York City map

SaTScan Bibliography

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Methodological Papers

 

Selected Applications by Field of Study


Methodological Papers

Statistical Methodology

General Statistical Theory, Bernoulli and Poisson Models

Kulldorff M. A spatial scan statistic. Communications in Statistics: Theory and Methods, 26:1481-1496, 1997. [view]

Spatial Scan Statistic, Bernoulli Model

Kulldorff M, Nagarwalla N. Spatial disease clusters: Detection and Inference. Statistics in Medicine, 14:799-810, 1995. [view]

Retrospective Space-Time Scan Statistic

Kulldorff M, Athas W, Feuer E, Miller B, Key C. Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos. American Journal of Public Health, 88:1377-1380, 1998. [view]

Prospective Space-Time Scan Statistic

Kulldorff M. Prospective time-periodic geographical disease surveillance using a scan statistic. Journal of the Royal Statistical Society, A164:61-72, 2001. [view]

Space-Time Permutation Model

Kulldorff M, Heffernan R, Hartman J, Assunção RM, Mostashari F. A space-time permutation scan statistic for the early detection of disease outbreaks. PLoS Medicine, 2:216-224, 2005. [view]

Ordinal Model

Jung I, Kulldorff M, Klassen A. A spatial scan statistic for ordinal data. Statistics in Medicine, 2006, in press. [view]

Exponential Model

Huang L, Kulldorff M, Gregorio D. A spatial scan statistic for survival data. Biometrics, 2006, in press. [view]

Normal Model

Kulldorff M, et al., 2006, manuscript in preparation.

Multivariate Scan Statistic

Kulldorff M, Mostashari F, Duczmal L, Yih K, Kleinman K, Platt R. Multivariate spatial scan statistics for disease surveillance. Statistics in Medicine, 2006, in press. [view]

Elliptic Scanning Window

Kulldorff M, Huang L, Pickle L, Duczmal L. An elliptic spatial scan statistic. Statistics in Medicine, 2006, epub ahead of print.

Monte Carlo Hypothesis Testing

Dwass M. Modified randomization tests for nonparametric hypotheses. Annals of Mathematical Statistics, 28:181-187, 1957.

Recurrence Intervals

Kleinman K, Lazarus R, Platt R. A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. American Journal of Epidemiology, 159:217-24, 2004.

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Adjustments

Adjusting for Covariates

Kulldorff M. A spatial scan statistic. Communications in Statistics: Theory and Methods, 26:1481-1496, 1997. [ view]

Kulldorff M, Feuer EJ, Miller BA, Freedman LS. Breast cancer in northeastern United States: A geographical analysis. American Journal of Epidemiology, 146:161-170, 1997. [view]

Kleinman K, Abrams A, Kulldorff M, Platt R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection, 2005, 133:409-419.

Klassen A, Kulldorff M, Curriero F. Geographical clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors. International Journal of Health Geographics, 2005, 4:1. [view]

Huang L, Kulldorff M, Gregorio D. A spatial scan statistic for survival data. Biometrics, 2006, in press. [ view]

Adjusting for More Likely Clusters

Zhang Z, Kulldorff M, Assun ção R. Spatial scan statistics adjusted for multiple clusters. Manuscript under review.

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Computational Aspects

Computational Algorithms

Kulldorff M. Spatial scan statistics: Models, calculations and applications. In Balakrishnan and Glaz (eds), Recent Advances on Scan Statistics and Applications. Boston, USA: Birkhäuser, 1999. [view]

Random Number Generator

Lehmer DH. Mathematical methods in large-scale computing units. In Proceedings of the second symposium on large scale digital computing machinery. Cambridge, USA: Harvard Univ. Press, 1951.

Park SK, Miller KW. Random number generators: Good ones are hard to find. Communications of the ACM, 31:1192-1201, 1988.

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Visualization / Mapping

Boscoe FP, McLaughlin C, Schymura MJ, Kielb CL. Visualization of the spatial scan statistic using nested circles. Health and Place, 9:273-277, 2003.

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Methods Evaluations and Comparisons

Kulldorff M, Tango T, Park P. Power comparisons for disease clustering tests. Computational Statistics and Data Analysis, 42:665-684, 2003.

Song C, Kulldorff M. Power evaluation of disease clustering tests. International Journal of Health Geographics, 2:9, 2003. [view]

Kulldorff M, Zhang Z, Hartman J, Heffernan R, Huang L, Mostashari F. Evaluating disease outbreak detection methods: Benchmark data and power calculations. Morbidity and Mortality Weekly Report, 53:144-151, 2004. [view]

Nordin J, Goodman M, Kulldorff M, Ritzwoller D, Abrams A, Kleinman K, Levitt MJ, Donahue J, Platt R. Using modeled anthrax attacks on the Mall of America to assess sensitivity of syndromic surveillance. Emerging Infectious Diseases, 11:1394-1398, 2005. [view]

Ozdenerol E, Williams BL, Kang SY, Magsumbol MS. Comparison of spatial scan statistic and spatial filtering in estimating low birth weight clusters. International Journal of Health Geographics, 4:19, 2005. [view]

Costa MA, Assunção RM. A fair comparison between the spatial scan and Besag-Newell disease clustering tests. Environmental and Ecological Statistics, 12:301-319, 2005.

Tango T, Takahashi K. A flexibly shaped spatial scan statistic for detecting clusters. International Journal of Health Geographics, 4:11, 2005. [view]

Kulldorff M, Song C, Gregorio D, Samociuk H, DeChello L. Cancer map patterns: Are they random or not? American Journal of Preventive Medicine, 30:S37-49, 2006. [view]

Duczmal L, Kulldorff M, Huang L. Evaluation of spatial scan statistics for irregular shaped clusters. Journal of Computational and Graphical Statistics, 15:428-442, 2006.

Aamodt G, Samuelsen SO, Skrondal A. A simulation study of three methods for detecting disease clusters. International Journal of Health Geographics, 5:15, 2006. [view]

Related Topics:SaTScan Bibliography, Selected Applications by Field of Study, Suggested Citation.

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Selected Applications by Field of Study

Infectious Diseases

Cousens S, Smith PG, Ward H, Everington D, Knight RSG, Zeidler M, Stewart G, Smith-Bathgate EAB, Macleod MA, Mackenzie J, Will RG. Geographical distribution of variant Creutzfeldt-Jakob disease in Great Britain, 1994-2000. The Lancet, 357:1002-1007, 2001.

Fevre EM, Coleman PG, Odiit M, Magona JW, Welburn SC, Woolhouse MEJ. The origins of a new Trypanosoma brucei rhodesiense sleeping sickness outbreak in eastern Uganda. The Lancet, 358:625-628, 2001.

Chaput EK, Meek JI, Heimer R. Spatial analysis of human granulocytic ehrlichiosis near Lyme, Connecticut. Emerging Infectious Diseases, 8:943-948, 2002. [view]

Huillard d'Aignaux J, Cousens SN, Delasnerie-Laupretre N, Brandel JP, Salomon D, Laplanche JL, Hauw JJ, Alperovitch A. Analysis of the geographical distribution of sporadic Creutzfeldt-Jakob disease in France between 1992 and 1998. International Journal of Epidemiology, 31: 490-495, 2002. [view]

Mostashari F, Kulldorff M, Hartman JJ, Miller JR, Kulasekera V. Dead bird clustering: A potential early warning system for West Nile virus activity. Emerging Infectious Diseases, 9:641-646, 2003. [view]

Ghebreyesus TA, Byass P, Witten KH, Getachew A, Haile M, Yohannes M, Lindsay SW. Appropriate Tools and Methods for Tropical Microepidemiology: a Case-study of Malaria Clustering in Ethiopia. Ethiopian Journal of Health Development. 17:1-8, 2003.

Sauders BD, Fortes ED, Morse DL, Dumas N, Kiehlbauch JA, Schukken Y, Hibbs JR, Wiedmann M. Molecular subtyping to detect human listeriosis clusters. Emerging Infectious Diseases, 9:672-680, 2003. [view]

Brooker S, Clarke S, Njagi JK, Polack S, Mugo B, Estambale B, Muchiri E, Magnussen P, Cox J. Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya. Tropical Medicine and International Health, 9: 757-766, 2004.

Washington CH, Radday J, Streit TG, Boyd HA, Beach MJ, Addiss DG, Lovince R, Lovegrove MC, Lafontant JG, Lammie PJ, Hightower AW. Spatial clustering of filarial transmission before and after a Mass Drug Administration in a setting of low infection prevalence. Filaria Journal, 3:3, 2004. [view]

Dreesman J, Scharlach H. Spatial-statistical analysis of infectious disease notification data in Lower Saxony. Gesundheitswesen, 66: 783-789, 2004.

Bakker MI, Hatta M, Kwenang A, Faber WR, van Beers SM, Klatser PR, Oskam L. Population survey to determine risk factors for Mycobacterium leprae transmission and infection. International Journal of Epidemiology, 33: 1329-1336, 2004.

Jennings JM, Curriero FC, Celentano D, Ellen JM. Geographic identification of high gonorrhea transmission areas in Baltimore, Maryland. American Journal of Epidemiology, 161: 73-80, 2005.

Polack SR, Solomon AW, Alexander NDE, Massae PA, Safari S, Shao JF, Foster A, Mabey DC. The household distribution of trachoma in a Tanzanian village: an application of GIS to the study of trachoma. Transactions of the Royal Society of Tropical Medicine and Hygiene, 99: 218-225, 2005.

Wylie JL, Cabral T, Jolly AM. Identification of networks of sexually transmitted infection: a molecular, geographic, and social network analysis. J Infect Diseases, 191:899-906, 2005.

Moore GE, Ward MP, Kulldorff M, Caldanaro RJ, Guptill LF, Lewis HB, Glickman LT. Identification of a space-time cluster of canine rabies vaccine-associated adverse events using a very large veterinary practice database. Vaccine, epub ahead of print, 2005.

Gosselin PL, Lebel G, Rivest S, Fradet MD. The Integrated System for Public Health Monitoring of West Nile Virus (ISPHM-WNV): a real-time GIS for surveillance and decision-making. International Journal of Health Geographics, 4:21, 2005. [view]

Gaudart J, Poudiougou B, Ranque S, Doumbo O. Oblique decision trees for spatial pattern detection: optimal algorithm and application to malaria risk. BMC Medical Research Methodology, 5:22, 2005. [view]

Nisha V, Gad SS, Selvapandian D, Suganya V, Rajagopal V, Suganti P, Balraj V, Devasundaram J. Geographical information system (GIS) in investigation of an outbreak [of dengue fever]. Journal of Communicable Diseases, 37:39-43, 2005.

Jones RC, Liberatore M, Fernandez JR Gerber SI. Use of a prospective space-time scan statistic to prioritize shigellosis case investigations in an urban jurisdiction. Public Health Reports, 121:133-9, 2006.

Pearl DL, Louie M, Chui L, Dore K, Grimsrud KM, Leedell D, Martin SW, Michel P, Svenson LW, McEwen SA. The use of outbreak information in the interpretation of clustering of reported cases of Escherichia coli O157 in space and time in Alberta, Canada, 2000-2002. Epidemiology and Infection, pud ahead of print, 2006.

Fang L, Yan L, Liang S, de Vlas SJ, Feng D, Han X, Zhao W, Xu B, Bian L, Yang H, Gong P, Richardus JH, Cao W. Spatial analysis of hemorrhagic fever with renal syndrome in China.
BMC Infectious Diseases, 6:77, 2006. [view]

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Cancer

Hjalmars U, Kulldorff M, Gustafsson G, Nagarwalla N. Childhood leukemia in Sweden: Using GIS and a spatial scan statistic for cluster detection. Statistics in Medicine, 15:707-715, 1996.

Kulldorff M, Feuer EJ, Miller BA, Freedman LS. Breast cancer in northeastern United States: A geographical analysis. American Journal of Epidemiology, 146:161-170, 1997. [view]

Imai J. Spatial disease clustering in Kochi prefecture in Japan. National Institute of Public Health Epidemiology and Biostatistics Research, 57-96, 1998 (in Japanese).

VanEenwyk J, Bensley L, McBride D, Hoskins R, Solet D, McKeeman Brown A, Topiwala H, Richter A, Clark R. Addressing community health concerns around SeaTac Airport: Second Report. Washington State Department of Health, 1999. [view]

Hjalmars U, Kulldorff M, Wahlquist Y, Lannering B. Increased incidence rates but no space-time clustering of childhood malignant brain tumors in Sweden. Cancer, 85:2077-2090, 1999.

Viel JF, Arveux P, Baverel J, Cahn JY. Soft-tissue sarcoma and non-Hodgkin’s lymphoma clusters around a municipal solid waste incinerator with high dioxin emission levels. American Journal of Epidemiology, 152:13-19, 2000.

Sheehan TJ, Gershman ST, MacDougal L, Danley R, Mrosszczyk M, Sorensen AM, Kulldorff M. Geographical surveillance of breast cancer screening by tracts, towns and zip codes. Journal of Public Health Management and Practice, 6: 48-57, 2001.

New York State Department of Health. Cancer Surveillance Improvement Initiative, 2001. [view]

Gregorio DI, Kulldorff M, Barry L, Samociuk H, Zarfos K. Geographic differences in primary therapy for early stage breast cancer. Annals of Surgical Oncology, 2001; 8:844-849, 2001. [view]

Roche LM, Skinner R, Weinstein RB. Use of a geographic information system to identify and characterize areas with high proportions of distant stage breast cancer. Journal of Public Health Management and Practice, 8:26-32, 2002.

Jemal A, Kulldorff M, Devesa SS, Hayes RB, Fraumeni JF. A geographic analysis of prostate cancer mortality in the United States. International Journal of Cancer, 101:168-174, 2002.

Michelozzi P, Capon A, Kirchmayer U, Forastiere F, Biggeri A, Barca A, Perucci CA. Adult and childhood leukemia near a high-power radio station in Rome, Italy. American Journal of Epidemiology, 155:1096-1103, 2002.

Zhan FB, Lin H. Geographic patterns of cancer mortality clusters in Texas, 1990 to 1997. Texas Medicine, 99:58-64, 2003.

Thomas AJ, Carlin BP. Late detection of breast and colorectal cancer in Minnesota counties: an application of spatial smoothing and clustering. Statistics in Medicine, 22:113-127, 2003.

Buntinx F, Geys H, Lousbergh D, Broeders G, Cloes E, Dhollander D, Op De Beeck L, Vanden Brande J, Van Waes A, Molenberghs G. Geographical differences in cancer incidence in the Belgian province of Limburg. European Journal of Cancer, 39:2058-72, 2003.

Santamaria Ulloa C. Evaluación de alarmas por cáncer utilizando análisis espacial: una aplicación para Costa Rica. Reivista Costarricense de Salud Pública, 12:18-22, 2003 . [view]

Sheehan TJ, DeChello LM, Kulldorff M, Gregorio DI, Gershman S, Mroszczyk M. The geographic distribution of breast cancer incidence in Massachusetts 1988-1997, adjusted for covariates. International Journal of Health Geographics, 2004, 3:17. [view]

Fang Z, Kulldorff M, Gregorio DI. Brain cancer in the United States, 1986-95: A geographic analysis. Neuro-Oncology, 2004, 6:179-187.

Hsu CE, Jacobson HE, Soto Mas F. Evaluating the disparity of female breast cancer mortality among racial groups - a spatiotemporal analysis. International Journal of Health Geographics 3:4, 2004. [view]

Han DW, Rogerson PA, Nie J, Bonner MR, Vena JE, Vito D, Muti P, Trevisan M, Edge SB, Freudenheim JL. Geographic clustering of residence in early life and subsequent risk of breast cancer ( United States). Cancer Causes and Control, 15:921-929, 2004.

Campo J, Comber H, Gavin A T. All-Ireland Cancer Statistics 1998-2000. Northern Ireland Cancer Registry / National Cancer Registry, 2004. [view]

Hayran M. Analyzing factors associated with cancer occurrence: A geographical systems approach. Turkish Journal of Cancer, 34:67-70, 2004. [view]

Sheehan TJ, DeChello LM. A space-time analysis of the proportion of late stage breast cancer in Massachusetts, 1988 to 1997. International Journal of Health Geographics, 4:15, 2005. [view]

Fukuda Y, Umezaki M, Nakamura K, Takano T. Variations in societal characteristics of spatial disease clusters: examples of colon, lung and breast cancer in Japan. International Journal of Health Geographics, 4:16, 2005. [view]

Ozonoff A, Webster T, Vieira V, Weinberg J, Ozonoff D, Aschengrau A. Cluster detection methods applied to the Upper Cape Cod cancer data. Environmental Health: A Global Access Science Source, 4:19, 2005. [view]

Klassen A, Curriero F, Kulldorff M, Alberg AJ, Platz EA, Neloms ST. Missing stage and grade in Maryland prostate cancer surveillance data, 1992-1997. American Journal of Preventive Medicine, 30:S77-87, 2006. [view]

Pollack LA, Gotway CA, Bates JH, Parikh-Patel A, Richards TB, Seeff LC, Hodges H, Kassim S. Use of the spatial scan statistic to identify geographic variations in late stage colorectal cancer in California ( United States). Cancer Causes and Control, 17:449–457, 2006.

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Cardiology

Kuehl KS, Loffredo CA. A cluster of hypoplastic left heart malformation in Baltimore, Maryland 
Pediatric Cardiology, 27:25-31, 2006.

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Pediatrics (see also cancer, cardiology)

Kharrazi M, et al. Pregnancy outcomes around the B.K.K. landfill, West Covina, California: An analysis by address. California Department of Health Services, 1998.

Sankoh OA, Ye Y, Sauerborn R, Muller O, Becher H. Clustering of childhood mortality in rural Burkina Faso. International Journal of Epidemiology, 30:485-492, 2001. [view]

George M, Wiklund L, Aastrup M, Pousette J, Thunholm B, Saldeen T, Wernroth L, Zaren B, Holmberg L. Incidence and geographical distribution of sudden infant death syndrome in relation to content of nitrate in drinking water and groundwater levels. European Journal of Clinical Investigation, 31: 1083-1094, 2001.

Bell S. Spatial Analysis of Disease - Applications. In Beam C (ed). Biostatistical Applications in Cancer Research. Boston: Kluwer p151-182, 2002. [view]

Forand SP, Talbot TO, Druschel C, Cross PK. Data quality and the spatial analysis of disease rates: congenital malformations in New York State. Health and Place, 8:191-199, 2002.

Colorado Department of Public Health and Environment. Analysis of birth defect data in the vicinity of the Redfield plume area in southeastern Denver county: 1989-1999. Colorado Department of Public Health and the Environment, 2002. [view]

Boyle E, Johnson H, Kelly A, McDonnell R. Congenital anomalies and proximity to landfill sites. Irish Medical Journal, 97:16-18, 2004.

Andrade AL, Silva SA, Martelli CM, Oliveira RM, Morais Neto OL, Siqueira Junior JB, Melo LK, Di Fabio JL. Population-based surveillance of pediatric pneumonia: use of spatial analysis in an urban area of Central Brazil. Cadernos de Saúde Pública. 20: 411-421, 2004. [view]

Ozdenerol E, Williams BL, Kang SY, Magsumbol MS. Comparison of spatial scan statistic and spatial filtering in estimating low birth weight clusters. International Journal of Health Geographics, 4:19, 2005. [view]

Viel JF, Floret N, Mauny F. Spatial and space-time scan statistics to detect low clusters of sex ratio. Environmental and Ecological Statistics, 12:289-299, 2005.

Ali M, Asefaw T, Byass P, Beyene H, Karup Pedersen F. Helping northern Ethiopian communities reduce childhood mortality: population-based intervention trial. Bulletin of the World Health Organization. 83:27-33, 2005. [view]

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Rheumatology / Auto-Immune Diseases

Walsh SJ, Fenster JR. Geographical clustering of mortality from systemic sclerosis in the Southeastern United States, 1981-90. Journal of Rheumatology, 24:2348-2352, 1997.

Walsh SJ, DeChello LM. Geographical variation in mortality from systemic lupus erythematosus in the United States. Lupus, 10:637-646, 2001.

López-Abente G, Morales-Piga A, Bachiller-Corral FJ, Illera-Martín O, Martín-Domenech R, Abraira V. Identification of possible areas of high prevalence of Paget’s disease of bone in Spain.
Clinical and Experimental Rheumatology, 21:635-368, 2003.

Donnan PT, Parratt JDE, Wilson SV, Forbes RB, O'Riordan JI, Swingler RJ. Multiple sclerosis in Tayside, Scotland: detection of clusters using a spatial scan statistic. Multiple Sclerosis, 11:403-408, 2005.

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Neurological Diseases

Sabel CE, Boyle PJ, Löytönen M, Gatrell AC, Jokelainen M, Flowerdew R, Maasilta P. Spatial clustering of amyotrophic lateral sclerosis in Finland at place of birth and place of death. American Journal of Epidemiology, 157: 898-905, 2003.

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Liver Diseases

Ala A, Stanca CM, Bu-Ghanim M, Ahmado I, Branch AD, Schiano TD, Odin JA, Bach N. Increased prevalence of primary biliary cirrhosis near superfund toxic waste sites. Hepatology, 43:525-531, 2006.

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Diabetes

Green C, Hoppa RD, Young TK, Blanchard JF. Geographic analysis of diabetes prevalence in an urban area. Social Science and Medicine, 57:551-560, 2003.

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Geriatrics

Yiannakoulias N, Rowe BH, Svenson LW, Schopflocher DP, Kelly K, Voaklander DC. Zones of prevention: the geography of fall injuries in the elderly. Social Science and Medicine, 57:2065-73, 2003.

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Parasitology

Enemark HL, Ahrens P, Juel CD, Petersen E, Petersen RF, Andersen JS, Lind P, Thamsborg SM. Molecular characterization of Danish Cryptosporidium parvum isolates. Parasitology, 125:331-341, 2002.

Washington CH, Radday J, Streit TG, Boyd HA, Beach MJ, Addiss DG, Lovince R, Lovegrove MC, Lafontant JG, Lammie PJ, Hightower AW. Spatial clustering of filarial transmission before and after a Mass Drug Administration in a setting of low infection prevalence. Filaria Journal, 3: 3, 2004. [view]

Odoi A, Martin SW, Michel P, Middleton D, Holt J, Wilson J. Investigation of clusters of giardiasis using GIS and a spatial scan statistic. International Journal of Health Geographics, 3:11, 2004. [view]

Reperant LA, Deplazes P. Cluster of Capillaria hepatica infections in non-commensal rodents from the canton of Geneva, Switzerland. Parasitology Research, 96:340-342, 2005.

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Alcohol and Drugs

Hanson CE, Wieczorek WF. Alcohol mortality: a comparison of spatial clustering methods. Social Science and Medicine, 55:791-802, 2002.

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Accidents

Nkhoma ET, Hsu CE, Hunt VI, Harris AM. Detecting spatiotemporal clusters of accidental poisoning mortality among Texas counties, U.S., 1980 - 2001. International Journal of Health Geographics, 3:25, 2004. [view]

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Syndromic Surveillance

Heffernan R, Mostashari F, Das D, Karpati A, Kulldorff M, Weiss D. Syndromic surveillance in public health practice: The New York City emergency department system. Emerging Infectious Diseases, 10:858-864, 2004. [view]

Minnesota Department of Health. Syndromic Surveillance: A New Tool to Detect Disease Outbreaks. Disease Control Newsletter, 32:16-17, 2004. [view]

Kleinman K, Abrams A, Kulldorff M, Platt R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection, 2005, 133:409-419.

Nordin JD, Goodman MJ, Kulldorff M, Ritzwoller DP, Abrams AM, Kleinman K, Levitt MJ, Donahue J, Platt R. Simulated anthrax attacks and syndromic surveillance. Emerging Infectious Diseases, 2005, 11:1394-98. [view]

Yih K, Abrams A, Kleinman K, Kulldorff M, Nordin J, Platt R. Ambulatory-care diagnoses as potential indicators of outbreaks of gastrointestinal illness --- Minnesota. Morbidity and Mortality Weekly Report, 54 Suppl:157-62, 2005. [view]

Besculides M, Heffernan R, Mostashari F, Weiss D. Evaluation of school absenteeism data for early outbreak detection, New York City. BMC Public Health, 2006, 5:105. [online]

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Veterinary Medicine, Domestic Animals

Norström M, Pfeiffer DU, Jarp J. A space-time cluster investigation of an outbreak of acute respiratory disease in Norwegian cattle herds. Preventive Veterinary Medicine, 47: 107-119, 2000.

Ward MP. Blowfly strike in sheep flocks as an example of the use of a time-space scan statistic to control confounding. Preventive Veterinary Medicine, 49: 61-69, 2001.

United States Department of Agriculture. West Nile virus in equids in the Northeastern United States in 2000. USDA, APHIS, Veterinary Services, 2001. [view]

Doherr MG, Hett AR, Rufenacht J, Zurbriggen A, Heim D. Geographical clustering of cases of bovine spongiform encephalopathy (BSE) born in Switzerland after the feed ban. Veterinary Record, 151: 467-472, 2002.

Perez AM, Ward MP, Torres P, Ritacco V. Use of spatial statistics and monitoring data to identify clustering of bovine tuberculosis in Argentina. Preventive Veterinary Medicine, 56: 63-74, 2002.

Schwermer H, Rufenacht J, Doherr MG, Heim D. Geographic distribution of BSE in Switzerland. Schweizer Archiv fur Tierheilkunde, 144:701-708, 2002.

Ward MP. Clustering of reported cases of leptospirosis among dogs in the United States and Canada. Preventive Veterinary Medicine, 56:215-226, 2002.

Falconi F, Ochs H, Deplazes P. Serological cross-sectional survey of psoroptic sheep scab in Switzerland. Veterinary Parasitology, 109:119-127, 2002.

Knuesel R, Segner H, Wahli T. A survey of viral diseases in farmed and feral salmonids in Switzerland. Journal of Fish Diseases, 26:167-182, 2003.

Berke O, Grosse Beilage E. Spatial relative risk mapping of pseudorabies-seropositive pig herds in an animal-dense region. Journal of Veterinary Medicine, B50: 322–325, 2003.

Abrial D, Calavas D, Lauvergne N, Morignat E, Ducrot C. Descriptive spatial analysis of BSE in western France. Veterinary Research, 34:749-60, 2003.

Sheridan HA, McGrath G, White P, Fallon R, Shoukri MM, Martin SW. A temporal-spatial analysis of bovine spongiform encephalopathy in Irish cattle herds, from 1996 to 2000. Canadian Journal of Veterinary Research, 69:19-25, 2005. [view]

Guerin MT, Martin SW, Darlington GA, Rajic A. A temporal study of Salmonella serovars in animals in Alberta between 1990 and 2001. Canadian Journal of Veterinary Research, 69:88-89, 2005. [view]

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Veterinary Medicine, Wildlife

Smith KL, DeVos V, Bryden H, Price LB, Hugh-Jones ME, Keim P. Bacillus anthracis diversity in Kruger National Park. Journal of Clinical Microbiology, 38:3780-3784, 2000. [view]

Berke O, von Keyserlingk M, Broll S, Kreienbrock L. On the distribution of Echinococcus multilocularis in red foxes in Lower Saxony: identification of a high risk area by spatial epidemiological cluster analysis. Berliner und Munchener Tierarztliche Wochenschrift. 115:428-434, 2002.

Miller MA, Gardner IA, Kreuder C, Paradies DM, Worcester KR, Jessup DA, Dodd E, Harris MD, Ames JA, Packham AE, Conrad PA. Coastal freshwater runoff is a risk factor for Toxoplasma gondii infection of southern sea otters (Enhydra lutris nereis). International Journal for Parasitology, 32:997-1006, 2002.

Hoar BR, Chomel BB, Rolfe DL, Chang CC, Fritz CL, Sacks BN, Carpenter TE. Spatial analysis of Yersinia pestis and Bartonella vinsonii subsp berkhoffii seroprevalence in California coyotes (Canis latrans). Preventive Veterinary Medicine, 56:299-311, 2003.

Olea-Popelka FJ, Griffin JM, Collins JD, McGrath G, Martin SW. Bovine tuberculosis in badgers in four areas in Ireland: does tuberculosis cluster? Preventive Veterinary Medicine, 59:103-111, 2003.

Joly DO, Ribic CA, Langenberg JA, Beheler K, Batha CA, Dhuey BJ, Rolley RE, Bartelt G, Van Deelen TR, Samual MD. Chronic wasting disease in free-ranging Wisconsin white-tailed deer. Emerging Infectious Disease, 9: 599-601, 2003. [view]

Miller MA, Grigg ME, Kreuder C, James ER, Melli AC, Crosbie PR, Jessup DA, Boothroyd JC, Brownstein D, Conrad PA. An unusual genotype of Toxoplasma gondii is common in California sea otters (Enhydra lutris nereis) and is a cause of mortality. International Journal for Parasitology, 34:275-284, 2004.

Olea-Popelka FJ, Flynn O, Costello E, McGrath G, Collins JD, O’Keeffe JO, Kelton DF, Berke O, Martin SW. Spatial relationship between Mycobacterium bovis strains in cattle and badgers in four areas in Ireland. Preventive Veterinary Medicine, 71:57-70, 2005.

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Demography

Collado Chaves A. Fecundidad adolescente en el gran área metropolitana de Costa Rica. Población y Salud en Mesoamérica, 1:4, 2003. [view]

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Forestry

Coulston JW, Riitters KH. Geographic Analysis of Forest Health Indicators Using Spatial Scan Statistics. Environmental Management, 31: 764-773, 2003.

Riitters KH, Coulston JW. Hot spots of perforated forest in the eastern United States. Environmental Management, 35:483-492, 2005.

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Toxicology

Sudakin DL, Horowitz Z, Giffin S. Regional variation in the incidence of symptomatic pesticide exposures: Applications of geographic information systems. Journal of Toxicology - Clinical Toxicology, 40:767-773, 2002.

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Psychology

Margai F, Henry N. A community-based assessment of learning disabilities using environmental and contextual risk factors. Social Science and Medicine, 56: 1073-1085, 2003.

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Brain Imaging

Yoshida M, Naya Y, Miyashita Y. Anatomical organization of forward fiber projections from area TE to perirhinal neurons representing visual long-term memory in monkeys. Proceedings of the National Academy of Sciences of the United States of America, 100:4257-4262, 2003. [view]

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History

Witham CS, Oppenheimer C. Mortality in England during the 1783-4 Laki Craters eruption. Bulletin of Volcanology, 67:15-25, 2004.

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Criminology

Jefferis ES. A multi-method exploration of crime hot spots: SaTScan results. National Institute of Justice, Crime Mapping Research Center, 1998.

Kaminski RJ, Jefferis ES, Chanhatasilpa C. A spatial analysis of American police killed in the line of duty. In Turnbull et al. (eds.), Atlas of crime: Mapping the criminal landscape. Phoenix , AZ : Oryx Press, 2000.

LeBeau JL. Demonstrating the analytical utility of GIS for police operations: A final report. National Criminal Justice Reference Service, 2000. [view]

Beato Filho CC, Assunção RM, Silva BF, Marinho FC, Reis IA, Almeida MC. Homicide clusters and drug traffic in Belo Horizonte, Minas Gerais, Brazil from 1995 to 1999. Cadernos de Saúde Pública, 17:1163-1171, 2001. [view]

Ceccato V, Haining R. Crime in border regions: The Scandinavian case of Öresund, 1998-2001. Annals of the Association of American Geographers, 94:807-826, 2004.

Related Topics:Methodological Papers, SaTScan Bibliography, Suggested Citation.

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