What is it about?

This is the first published article to formalize the concept of SCIM (sewage chemical information mining) and the use of SCIM to estimate the size of small-area (local) human populations: Analysis of Small-Area Populations by Sewage Chemical-Information Mining (ASAP-SCIM). A biomarker with great potential for the use of SCIM in the real-time measurement of population size was determined to be coprostanol - the major sterol produced by microbial reduction of cholesterol in the colon.

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Why is it important?

ASAP-SCIM represents the first proposed use of monitoring sewage for biomarkers (particularly endogenous human biomarkers) to quickly gauge the collective status of any number of indicators of the specific or general status of public health or disease at the community-wide level. This particular, first application offers the first means beyond tedious census taking to estimate population size. SCI M offers the opportunity to view communities from the new perspective of a "collective patient."

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This page is a summary of: Real-time estimation of small-area populations with human biomarkers in sewage, The Science of The Total Environment, January 2012, Elsevier,
DOI: 10.1016/j.scitotenv.2011.11.015.
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