Sentence examples for robust outbreak from inspiring English sources

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Other approaches for designing surveillance have been developed in the past; for instance (Bajardi et al. 2012) developed a model for robust outbreak cluster detection based on network features.

"Rotary International's commitment to polio eradication has been instrumental in the swift and robust outbreak response in Ethiopia," said Patrizia DiGiovanni, Acting Representative, UNICEF Ethiopia.

During the second wave of the pandemic, the control group and the personnel sustained a robust outbreak of respiratory illness, shown retrospectively by serology to be due to the pandemic strain influenza A (H2N2), whereas the group in the irradiated building remained symptom free.

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Thus additional factors were needed to develop a robust prediction of outbreak risk.

His kindness was only occasionally obscured by a firm managerial approach and a robust response to outbreaks of poor grammar or sloppy journalism.

To mitigate damage efficiently during outbreaks, robust models predicting where the risk for tree mortality is highest across forest landscapes and better understanding of the underlying mechanisms are required.

Features of the model include timely detection of outbreaks, robust inference to model misspecification, reasonable prediction performance, and analytical results and visualization to assist public health authorities in risk assessment.

The methodology has some nice features including timely detection of outbreaks, robust inference to model misspecification, reasonable prediction performance as well as attractive analytical and visualization tool to assist public health authorities in risk assessment.

The development of robust methods of early outbreak detection remains an active research area.

It has been developed in recent years in human health surveillance systems as a means of timely detection of disease outbreaks using robust pre-diagnostic data, which are registered automatically [ 12, 13].

To determine whether the relationship between BioSense ED visit data and monthly norovirus outbreaks was robust at the state level, linear regression models for the all-ages group were fitted separately for each of the 6 states.

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