Sentence examples for estimated attack from inspiring English sources

The curves referred as estimated attack, represent the results predicted by the attacker when the designed attack function M z) is applied to the estimated model – i.e. the model discovered by the attacker through to the Passive System Identification attack.

Extrapolated to the overall population of Mayotte, these figures lead to an estimated attack rate of 249.5 cases per 1000 population as of early May 2006.

In other words, the curve estimated attack is the result achieved in a first moment, during the design stage of the attack, and the curve actual attack is the result obtained in a second moment, when the designed attack is launched over the actual system.

It is noteworthy that the attack to the actual model – represented by the actual attack curve – presents, in the time domain, a response quite similar to the attack estimated with the model obtained by the Passive System Identification attack – represented by the estimated attack curve.

This is consistent with estimated attack rates for the three major pandemics of the 20th century (with the exception of the initial 1968 pandemic season).

In this analysis, the pH1N1 community ILI attack rate ranged from 4 8%, similar to the estimated attack rate from New Zealand (8%)[7] which experienced the introduction of pH1N1 during the Southern Hemisphere influenza season.

The mean weekly camp populations (under 5's and 5 years and older) were used as denominator to estimate attack rates (AR).

Estimating attack rates is a major task in characterizing pandemic (H1N1) 2009.

The strength of our study is that it is prospective, which is the best approach for estimating attack rates and incidence rates of travellers' diarrhoea.

First, estimating attack rates from surveillance data provides attack rates as an aggregate of vaccinated and unvaccinated individuals and not attack rates that are specific to unvaccinated individuals that are presented here.

This shows the difficulties in estimating attack rates for different age categories through surveillance, without having accurate scaling factors and concomitantly larger sample sizes to accurately determine age-specific infection rates.