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Displaying results 1 - 6 of 6
  • Content Type: Abstract

    Sixty-one percent of known disease-causing agents that infect humans can also infect animals [1]. While humans are the primary reservoir for only 3% of zoonoses, detection of zoonotic disease outbreaks remains mostly dependant on the identification… read more
    … Objective This paper describes occurrences of possible co-morbidity in pets and humans discovered in a … Objective This paper describes occurrences of possible co- morbidity in pets and humans discovered in a retro- … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com www.hmsinc.com Advances in Disease Surveillance …
  • Content Type: Abstract

    “The ultimate measure of whether a surveillance system has achieved the optimal balance of attributes lies in its usefulness.” No one is better qualified to comment on usefulness than the users. As system developers, we are well advised to… read more
    … was distributed via a web-based service (SurveyMonkey.com, Portland, OR) to 240 registered public health users of … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com www.hmsinc.com Advances in Disease Surveillance 2008;5:128 …
  • Content Type: Abstract

    Identifying potential biases and confounders that may affect data quality is an important consideration when evaluating surveillance systems. Having the benefit of predictable temporal trends is a key requirement to improve upon… read more
    … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com www.hmsinc.com Advances in Disease Surveillance 2007;4:264 …
  • Content Type: Abstract

    The Utah Department of Health documented a single epidemic of cryptosporidiosis in Utah during 2007. Seven hundred eleven laboratory-confirmed cases were reported in Salt Lake County, Utah from July 27 through December 18. Illness onset date was… read more
    … the reported cases and a Pearson correlation analysis was con- ducted. Standard deviation from the overall mean value … of enteric disease is promising. REFERENCES [1] Chapman WW, Christensen LM, Wagner MM, et al. Classify- ing … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com Advances in Disease Surveillance 2008;5:60 …
  • Content Type: Abstract

    The 2003/04 influenza season included a more pathogenetic organism and had an earlier onset. There were noticeably more deaths in otherwise healthy children than in previous seasons. Following this season, States were asked by the Centers for… read more
    … [1] 2003-04 U.S. Influenza Season Summary. http://www.cdc.gov/flu/weekly/weeklyarchives2003- … [2] Brammer TL, Murray EL, Fukuda K, Hall HE, Klimov A, Cox NJ, Surveillance for Influenza-United States, 1997-98, … [2] Brammer TL, Murray EL, Fukuda K, Hall HE, Klimov A, Cox NJ, Surveillance for Influenza-United States, 1997-98, …
  • Content Type: Abstract

    Animals continue to be recognized as a potential source of surveillance data for detecting emerging infectious diseases, bioterrorism preparedness, pandemic influenza preparedness, and detection of other zoonotic diseases. Detection of disease… read more
    … and other data populate data repositories at the IDEXX cor- porate office at the time of record creation. Other … (Centers for Disease Control and Prevention, http://www.cdc.gov/epi- info/). We determined the frequency of … seasonal change (34), Ŷt = α + βtt + βs sin(2πt/52) + βc cos(2π t/52), [2] where a is the intercept value, βt is the …