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rapid assessment of drinking-water quality in the republic of tajikistan

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Household samples were also analysed for microbiological and chemical parameters, with a focus on<br />

how <strong>dr<strong>in</strong>k<strong>in</strong>g</strong>-<strong>water</strong> <strong>quality</strong> deteriorated between <strong>the</strong> distribution system and household taps.<br />

In l<strong>in</strong>e with <strong>the</strong> WHO guidel<strong>in</strong>es for <strong>dr<strong>in</strong>k<strong>in</strong>g</strong>-<strong>water</strong> <strong>quality</strong> (WHO, 2004), all samples were assessed<br />

for sanitary risks by <strong>in</strong>spections that used a standard set <strong>of</strong> questionnaires developed for <strong>the</strong> RADWQ<br />

pilot project. Individual <strong>water</strong> supplies were assigned to risk categories us<strong>in</strong>g a “risk-to-health<br />

matrix”, which cross-checks a sanitary risk score with <strong>the</strong> count for <strong>the</strong>rmotolerant coliforms, to give<br />

a measure <strong>of</strong> <strong>the</strong> potential health risk.<br />

The value <strong>of</strong> proxy parameters for assess<strong>in</strong>g <strong>water</strong> <strong>quality</strong> (i.e. turbidity for bacteria, conductivity for<br />

chemicals) was also exam<strong>in</strong>ed. The output <strong>of</strong> <strong>the</strong> analysis was Pearson’s r, a l<strong>in</strong>ear correlation<br />

coefficient that can easily be calculated with<strong>in</strong> MS Excel. A drawback is that <strong>the</strong> derivation <strong>of</strong><br />

Pearson’s r assumes <strong>the</strong> data are distributed normally, and <strong>the</strong> analysis uses means and standard<br />

deviations, so that outlier values 2 can disproportionately <strong>in</strong>fluence <strong>the</strong> results. More rigorous analyses<br />

exist, such Spearman's rho, which does not assume <strong>the</strong> data are normally distributed, and uses a rank<br />

transform method that makes it resistant to outliers, but which cannot be calculated with<strong>in</strong> MS Excel.<br />

2 An outlier is a value far from most o<strong>the</strong>rs <strong>in</strong> a set <strong>of</strong> data.<br />

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