Raw data for cs/QCA of seasonal syndromic influenza surveillance.

<p>Raw data for cs/QCA of seasonal syndromic influenza surveillance.</p

Solution terms for explaining successful and unsuccessful cases of syndromic situational awareness.

<p>Solution terms for explaining successful and unsuccessful cases of syndromic situational awareness.</p

Key characteristics of syndromic surveillance systems selected for QCA.

<p>Key characteristics of syndromic surveillance systems selected for QCA.</p

Raw data for cs/QCA of syndromic situational awareness.

<p>Raw data for cs/QCA of syndromic situational awareness.</p

Truth table for cs/QCA of seasonal syndromic influenza surveillance.

<p>Truth table for cs/QCA of seasonal syndromic influenza surveillance.</p

Solution terms for explaining successful and unsuccessful cases of seasonal syndromic influenza surveillance.

<p>Solution terms for explaining successful and unsuccessful cases of seasonal syndromic influenza surveillance.</p

Biodrying performance and bacterial community structure under variable and constant aeration regimes during sewage sludge biodrying

<p>This study investigated biodrying performance under variable and constant aerations. The matrix-related properties, air-related parameters, and bacterial community were assessed. Under variable aeration, the velocity and temperature of the air above the pile surface were high; bacterial diversity indicated that the biodrying was achieved during an established period; Proteobacteria was dominant throughout the biodrying; and there was better performance of the biodrying product intended for direct incineration or for postcuring land use. Different aeration conditions led different biomass percentages, but the dominant phyla were similar.</p

Lignocellulose biodegradation in the biodrying process of sewage sludge and sawdust

<p>Lignocellulose degradation is important when applying biodrying treatment to sewage sludge intended for land use. This study investigated the lignocellulose degradation in the biodrying of sewage sludge and sawdust. The experiment analyzed lignocellulose content, lignocellulase activity, humic substances, and fungal communities. After biodrying, lignin, cellulose, and hemicellulose degradation rates were 48.4, 38.8, and 45.0%, respectively. Carboxymethyl cellulase, lignin peroxidase, and xylanase played key roles. During the thermophilic phase, more than 80% of the microorganisms in the sample contributing to lignocellulose degradation were Ascomycota. The lignocellulose degradation and a rate of increase in humic acid/fulvic acid of 380% benefit land use of biodrying product.</p

Is the current pertussis incidence only the results of testing? A spatial and space-time analysis of pertussis surveillance data using cluster detection methods and geographically weighted regression modelling - Fig 1

<p>Spatial distribution of a) pertussis testing, b) incidence and c) test-positivity, 2007–2013.</p

Poisson regression models for pertussis testing, stratified by age.

<p>Significance levels: * = 0.05; ** = 0.01; *** = 0.001. Only significant predictors are reported.</p