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          <dc:title>&lt;p&gt;Univariable Logistic Regression to determine the association of total coliform presence in Maryland farm private wells water samples by well characteristics, geographic factors, and antecedent precipitation.&lt;/p&gt;</dc:title>
          <dc:creator>Cameron Smith (244750)</dc:creator>
          <dc:creator>Emily M. H. Woerner (21492030)</dc:creator>
          <dc:creator>Alan Leslie (25145104)</dc:creator>
          <dc:creator>Benjamin Beale (25145107)</dc:creator>
          <dc:creator>Kelly Nichols (25145110)</dc:creator>
          <dc:creator>Shannon Dill (25145113)</dc:creator>
          <dc:creator>Sarah Hirsh (25145116)</dc:creator>
          <dc:creator>Jeff Semler (25145119)</dc:creator>
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          <dc:creator>Jack Keane (25145125)</dc:creator>
          <dc:creator>Marina Costa (5073269)</dc:creator>
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          <dc:creator>Raul Cruz-Cano (3751321)</dc:creator>
          <dc:creator>Andrew Lazur (25145128)</dc:creator>
          <dc:creator>Rachel Rosenberg Goldstein (25145131)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Immunology</dc:subject>
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          <dc:subject>Virology</dc:subject>
          <dc:subject>farm animal waste</dc:subject>
          <dc:subject>epa method 1604</dc:subject>
          <dc:subject>bacterial contamination risk</dc:subject>
          <dc:subject>43 million individuals</dc:subject>
          <dc:subject>sampling increased (&lt;</dc:subject>
          <dc:subject>well maintained system</dc:subject>
          <dc:subject>supply drinking water</dc:subject>
          <dc:subject>actual well conditions</dc:subject>
          <dc:subject>div &gt;&lt; p</dc:subject>
          <dc:subject>four water samples</dc:subject>
          <dc:subject>multivariable logistic regression</dc:subject>
          <dc:subject>excellent condition (&lt;</dc:subject>
          <dc:subject>03 ), suggesting</dc:subject>
          <dc:subject>total coliforms compared</dc:subject>
          <dc:subject>unmaintained private wells</dc:subject>
          <dc:subject>significantly lower odds</dc:subject>
          <dc:subject>total coliform presence</dc:subject>
          <dc:subject>collected water samples</dc:subject>
          <dc:subject>farms across maryland</dc:subject>
          <dc:subject>79 private wells</dc:subject>
          <dc:subject>drinking water</dc:subject>
          <dc:subject>logistic regression</dc:subject>
          <dc:subject>total coliforms</dc:subject>
          <dc:subject>region (&lt;</dc:subject>
          <dc:subject>private wells</dc:subject>
          <dc:subject>fair condition</dc:subject>
          <dc:subject>county (&lt;</dc:subject>
          <dc:subject>03 ).</dc:subject>
          <dc:subject>significantly associated</dc:subject>
          <dc:subject>04 ),</dc:subject>
          <dc:subject>01 ),</dc:subject>
          <dc:subject>well properties</dc:subject>
          <dc:subject>p &lt;/</dc:subject>
          <dc:subject>three percent</dc:subject>
          <dc:subject>significant decrease</dc:subject>
          <dc:subject>seven regions</dc:subject>
          <dc:subject>sampled wells</dc:subject>
          <dc:description>&lt;p&gt;Univariable Logistic Regression to determine the association of total coliform presence in Maryland farm private wells water samples by well characteristics, geographic factors, and antecedent precipitation.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T17:28:03Z</dc:date>
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          <dc:identifier>10.1371/journal.pwat.0000636.t003</dc:identifier>
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