Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
ari values » ani values (Expand Search), arl values (Expand Search), auc values (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
ari values » ani values (Expand Search), arl values (Expand Search), auc values (Expand Search)
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Study variables.
Published 2025“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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Descriptive statistics.
Published 2025“…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown.
Published 2025“…Only parameters with influence values greater than 0.01 are shown.</p>…”
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TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm<sup>-1</sup>), total nitrogen (TN; μg L<sup>-1</sup>), and total phosphorus (TP; μg L<sup>-1</sup>). Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI....
Published 2025“…Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI. …”
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Changes in inflammatory cytokine levels compared with baseline values in all patients over time.
Published 2025Subjects: -
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Changes in the UACR and urinary β2-MG levels compared with baseline values over time.
Published 2025Subjects: -
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