Sentence examples for epidemic analysis from inspiring English sources

This property of the rural communities is interesting, since it provides a given level of stability within the contact network and increases the accuracy of our epidemic analysis.

All subjects from each region were grouped by age range: ≤5, ≤10, ≤20, ≤30, ≤40, ≤ 50, ≤60 and >60 years of age for epidemic analysis ("≤" indicated beginning with the older than the end point of last age range).

We illustrate the usage of the online epidemic analysis tool with two examples: the retrospective detection and quantification of excess pneumonia and influenza (P&I) mortality, and the prospective surveillance of gastrointestinal disease (diarrhoea).

Consecutive samples taken from April 2014 through March 2015 were included for the non-epidemic analysis.

Such approaches could be considered for reaching out to an even broader audience and trying and maximize the availability of leading-edge methods for epidemics analysis to the community at large, including not only modellers and statisticians, but also epidemiologists and public health agencies.

HIV epidemic; spatial analysis; GIS Encourage hospitals to participate in the Oregon Health Authority OHAA) emergency department (ED) syndromic surveillance system, Oregon ESSENCE.

Info-gap is applied here to mathematical modelling of epidemics and analysis of public health decision-making.

Studies usually have focused on the influence of climate on cholera dynamics across regions of cholera endemicity, mainly because they can provide environmental or climatic factors that promote epidemics through analysis of long-term historical records [ 5- 7, 14, 15].

VA 17 is an epidemic restriction endonuclease analysis (REA) BI strain and VA 11 is an REA J strain.

Our results suggest that male circumcision may be overstated as a means of controlling a national AIDS epidemic In our analysis, it appears that CSW, GIN, ILW and ILD all have valid correlations with HIV/AIDS and the adjusted R-squareds of the regressions suggest that approximately 45% of the variance in HIV has been explained by these variables.

While secondary programs such as "seek and treat" have gained popularity and will no doubt continue to play a major role in slowing the HIV epidemic [35], our analysis demonstrates a way in which limited public health resources can be optimized even after taking HAART expenditures into account.