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Analyzing Outcomes from Diverse Starting Points in Health Statistics Research

This piece explores the methodologies and outcomes derived from various starting points in health statistics research. It includes a discussion on service levels that can be provided to patrons seeking health data insights. Additionally, we delve into the importance of ICD-10 codes for standardized disease classification. Key statistics from NOAA, CDC, and NCHS illustrate current trends in mortality rates due to extreme weather events in Japan from 1968-1994, along with other relevant data sources.

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Analyzing Outcomes from Diverse Starting Points in Health Statistics Research

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Presentation Transcript

  1. Search Strategies Outcomes from the “Different Starting Points” Lab Exercise

  2. What did you find? • What level of service would you provide this patron? • Of what you found, what would you give to your patron?

  3. Classification • http://delicious.com/chuckhumphrey/ICPSR08 • Helpful knowing the ICD10 code, which provides an international, standardized category using in the classification of diseases • Of the basic table elements (geography, time, subject content), this provides a key to subject content

  4. Statistics • http://delicious.com/chuckhumphrey/ICPSR08 • Blog review: Going Down: Death Rates Due to Extreme Weather Events • Article: Deaths from heat-stroke in Japan: 1968-1994. [Int J Biometeorol. 1999] - PubMed Result • Official statistics: NOAA, CDC & NCHS • National Statistics Online - Product - Health Statistics Quarterly

  5. Aggregate Data • http://delicious.com/chuckhumphrey/ICPSR08 • CDC Compressed Mortality, 1999-2005 Request • Download table in Excel using time as the unit of observation and convert to an aggregate data file • EMDAT - The International Emergency Disasters Database • Have to request permission for aggregate data at the city level over time

  6. Microdata • CDC Mortality for the U.S.

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