Sentence examples for epidemiological evolution from inspiring English sources

Molecular epidemiology provides a crucial contribution to accurately interpret epidemiological evolution of infectious diseases in communities, when screening by phenotypic methods, such as biotyping or drug resistance pattern analysis, is seriously hindered by the homogeneity of circulating strains.

Until recently S. aureus was considered to be the prototype of a nosocomial pathogen but it has now also clearly shown capacity for outbreaks in the community, affecting young and previously healthy people [2] [4], thus suggesting a major epidemiological evolution.

This study provides new insights into the spread and epidemiological evolution of sporotrichosis, suggesting that different public health policies and strategies would be required to control future outbreaks.

A general consensus on choice and coding of variables for TBI studies is needed in order to acquire the exact epidemiological evolution of TBI.

Data analysis allows following the epidemiological evolution of Salmonella isolates and when necessary to start a further characterization of isolates, as was the case with the S. Concord.

Studying healthy donors also provides a window into the molecular epidemiological evolution of HBV in the general population, and therefore, screening healthy blood donors should be a part of the comprehensive surveillance program.

Epidemiological and evolution variables were recorded, and after hospital discharge patients/their relatives were interviewed face-to-face or by telephone at 2, 6 and 12 months.

Objectives: To analyze epidemiological data and evolution of patients on mechanical ventilation (MV) in the ICU and to define independent variables associated to long-term (1 year) mortality.

The epidemiological trend of evolution of HIV-AIDS is a topic of great interest to the international scientific community today.

This paper aims to formulate epidemiological considerations on evolution of HIV infection based on a retrospective and prospective epidemiological analysis of 2 groups (A and B) of patients from Constanța, period 1987-2013.

Understanding the impact of within-host evolution for epidemiological studies is essential for the design of preventive and therapeutic measures.