Analysis of the severity of OSAHS in obese and non-obese children in the case group.

The number of filled teeth in relation to the occurrence of early respiratory tract infections (< 2 years) in the past 12 months before baseline questionnaire-based data...

ObjectiveThis systematic review sought to assess the costs and benefits of interventions preventing hospital-acquired infections and to evaluate methodological and reporting...

ObjectivesPrevious studies found higher levels of physical activity to be protective against infections and that short and long sleep negatively affects the immune response....

Trial characteristics: A. Paniculata versus Placebo (n = 4).

Inclusion, exclusion and diagnosis selection criteria for each dataset *.

Proportions of antibiotic choice congruence to DEGAM guideline for acute lower respiratory tract infection by diagnosis.

Univariate analysis of dichotomous independent variables.

Univariate correlation matrix showing Pearson r.

Antibiotic prescription and uropathogen sensitivity and resistance.

IntroductionThe public health burden of reproductive tract infections (RTIs) among women in rural areas of low-income countries is poorly addressed because health care seeking...

Reasons Why RTI symptomatic women (N = 141) Did Not Seek Treatment for RTI Symptoms.

Data used in preparation of Figs 1F, 1G; 2E; 3B, 3C; 4D, 4E; 5C, 5E, 5G, 5I and 5K. (XLSX)

Univariate analysis of ordered categorical independent variables.

The correlation of different sizes of adenoids and tonsils with the severity of OSAHS in the pediatric patients with OSAHS in the case group.

Descriptive results, reliability coefficients (Cronbach’s alpha) and differences between mothers and fathers.

Contingency table of antibiotic choice and antibiotic prescribing decision congruence to DEGAM guideline for patients with acute lower respiratory tract infection.

Trial characteristics: A. Paniculata (pillule) versus A. Paniculata (tablet) (n = 3).

Treatment given to children under five years admitted with SAM at the study sites, 2014–2018.

Associations between geographical region and use of systemic steroids.