1.Teutsch, SM, Thacker, SB. Planning a public health surveillance system. Epidemiological Bulletin Pan American Health Organization 1995; 16: 1–16.
2.CDC. Updated guidelines for evaluating public health surveillance systems: recommendations from the guidelines working group. Morbidity and Mortality Weekly Report 2001; 50: 1–35.
3.Smylie, J, Anderson, M. Understanding the health of Indigenous peoples in Canada: key methodological and conceptual challenges. Canadian Medical Association Journal 2006; 175: 602–605.
4.Gracey, M, King, M. Indigenous health part 1: Determinants and disease patterns. Lancet 2009; 374: 65–75.
5.King, M, Smith, A, Gracey, M. Indigenous health part 2: The underlying causes of the health gap. Lancet 2009; 374: 76–85.
6.Caron, NR. Getting to the root of trauma in Canada's Aboriginal population. Canadian Medical Association Journal 2005; 172: 1023–1024.
7.MacMillan, HL, et al. Aboriginal health. Canadian Medical Association Journal 1996; 155: 1569–1578.
8.Luo, Z, et al. Birth outcomes in the Inuit-inhabited areas of Canada. Canadian Medical Association Journal 2010; 182: 235–242.
9.Harris, SB, et al. Disease patterns among Canadian Aboriginal children: Study in a remote rural setting. Canadian Family Physician 1998; 44: 1869–1877.
10.Adelson, N. The embodiment of inequity: Health disparities in Aboriginal Canada. Canadian Journal of Public Health 2005; 96: S45–S61.
11.Auer, AM, Andersson, R. Canadian Aboriginal communities and medical service patterns for the management of injured patients: a basis for surveillance. Public Health 2001; 115: 44–50.
12.Auer, AN, Andersson, R. Canadian Aboriginal communities: a framework for injury surveillance. Health Promotion International 2001; 16: 169–177.
13.ITK. Inuit in Canada: A Statistical Profile. Ottawa, Canada: Inuit Tapiriit Kanatami, 2008.
14.Guthrie, JA, et al. HIV and AIDS in Aboriginal and Torres Strait Islander Australians: 1992–1998. Medical Journal of Australia 2000; 172: 266–269.
15.Mak, DB, Watkins, RE. Improving the accuracy of Aboriginal and non-Aboriginal disease notification rates using data linkage. BMC Health Services Research 2008; 8.
16.Clough, AR. Some costs and challenges of conducting follow-up studies of substance use in remote Aboriginal communities: An example from the Northern Territory. Drug and Alcohol Review 2006; 25: 455–458.
17.Kozyrskyj, AL, Mustard, CA. Validation of an electronic, population-based prescription database. Annals of Pharmacotherapy 1998; 32: 1152–1157.
18.Harper, SL.Weather, water, and infectious gastrointestinal illness in the context of climate change in Nunatsiavut, Canada (dissertation). Guelph, ON, Canada: University of Guelph, 2009.
20.CDC. Guidelines for evaluating surveillance systems. Morbidity and Mortality Weekly Report 1988; 37: 1–18.
21.Health Canada. Framework and tools for evaluating health surveillance systems, 2004.
22.Majowicz, SE, Horrocks, J, Bocking, K. Demographic determinants of acute gastrointestinal illness in Canada: A population study. BMC Public Health 2007; 7.
23.Gazarian, M, et al. Evaluation of a national surveillance unit. Archives of Disease in Childhood 1999; 80: 21–27.
24.Matsui, T, et al. Evaluation of national Tsutsugamushi disease surveillance – Japan, 2000. Japanese Journal of Infectious Diseases 2003; 55: 197–203.
25.Takahashi, T, et al. Evaluation of a public health Salmonella surveillance system in King County, Washington. American Journal of Infection Control 2004; 32: 7–11.
26.Dixon, J, et al. Assessment of the reproducibility of clinical coding in routinely collected hospital activity data: A study in two hospitals. Journal of Public Health Medicine 1998; 20: 63–69.
27.McDonald, CJ, et al. A framework for capturing clinical data sets from computerized sources. Annals of Internal Medicine 1997; 127: 675–682.
28.Doyle, TJ, Glynn, MK, Groseclose, SL. Completeness of notifiable infectious disease reporting in the United States: an analytical literature review. American Journal of Epidemiology 2002; 155: 866–874.
29.Effler, P, et al. Statewide system of electronic notifiable disease reporting from clinical laboratories: comparing automated reporting with conventional methods. Journal of the American Medical Association 1999; 282: 1845–1850.
30.Overhage, JM, Grannis, S, McDonald, CJ. A comparison of the completeness and timeliness of automated electronic laboratory reporting and spontaneous reporting of notifiable conditions. American Journal of Public Health 2008; 98: 344–350.
31.Hogan, WR, Wagner, MM. Accuracy of data in computer-based patient records. Journal of the American Medical Informatics Association 1997; 4: 342–355.
32.Surjan, G. Questions on validity of international classification of diseases-coded diagnoses. International Journal of Medical Informatics 1999; 54: 77–95.
33.O'Neill, L, Klepack, W. Electronic medical records for a rural family practice: a case study in systems development. Journal of Medical Systems 2007; 31: 25–33.
34.McGlinchey, EA, et al. Ability to perform registry functions among practices with and without electronic health records. Journal of General Internal Medicine 2008; 23: 241–241.
36.McDonald, CJ, et al. Open source software in medical informatics – why, how, and what. International Journal of Medical Informatics 2003; 69: 175–184.
37.O'Malley, KJ, et al. Measuring diagnoses: ICD code accuracy. Health Services Research 2005; 40: 1620–1639.
38.Romano, PS, Mark, DH. Bias in the coding of hospital discharge data and its implications for quality assessment. Medical Care 1994; 32: 81–90.
39.Kokotailo, RA, Hill, MD. Coding of stroke and stroke risk factors using International Classification of Diseases, revisions 9 and 10. Stroke 2005; 36: 1776–1781.
40.Jensen, AO, et al. Accuracy of ICD-10 discharge diagnoses of skeletal related events and bone metastases secondary to prostate cancer and breast cancer in a Danish population-based hospital registry. Pharmacoepidemiology and Drug Safety 2008; 17: S35.
41.Henderson, T, Shepheard, J, Sundararajan, V. Quality of diagnosis and procedure coding in ICD-10 administrative data. Medical Care 2006; 44: 1011–1019.
42.Stausberg, J, et al. Reliability diagnoses coding with ICD-10. International Journal of Medical Informatics 2008; 77: 50–57.
43.Jhung, MA, et al. Evaluation and overview of the national electronic injury surveillance system-cooperative adverse drug event surveillance project (NEISS-CADES). Medical Care 2007; 45: S96.