Selected article for: "age group and positive percentage"
Author: Dort, Thibaut; Schecroun, Nadia; Standaert, Baudouin
Title: Improving the Hospital Quality of Care during Winter Periods by Optimizing Budget Allocation Between Rotavirus Vaccination and Bed Expansion
  • Document date: 2017_11_20
    • ID: tmydzyiq_6
    Snippet: The baseline model developed is non-linear and multivariate, similar to the Cobb-Douglas function [14] where the output is the fixed achievement of improvement in QoC-scores (QoC), during the winter periods in a pediatric ward. The two influencing variables are the extra treatment (H), expressed as extra beds as a percentage of the existing number of beds, and extra prevention (V), expressed as absolute or extra vaccine coverage rates in the age .....
    Document: The baseline model developed is non-linear and multivariate, similar to the Cobb-Douglas function [14] where the output is the fixed achievement of improvement in QoC-scores (QoC), during the winter periods in a pediatric ward. The two influencing variables are the extra treatment (H), expressed as extra beds as a percentage of the existing number of beds, and extra prevention (V), expressed as absolute or extra vaccine coverage rates in the age group to be vaccinated, that is the annual birth cohort of infants below 1 year old (see Sect. 2.5) [15] . The relative contribution of each of the two variables to the QoC-score improvement is investigated. The relationship between the output (QoC, measured in percentage improvement) and the influencing variables (V and H, also measured in percentage change) is considered to be positive, increasing, and concave, and is expressed as Eq. 1:

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