Sentence examples for epidemic data from inspiring English sources

The algorithm is successfully applied to two real life epidemic data sets, the Abakaliki smallpox data and the 2001 UK foot-and-mouth epidemic in Cumbria.

This paper is concerned with the design of studies aimed at collecting time-series epidemic data in order to maximize the amount of information available to calibrate household models.

Whilst the UK 2001 FMD (foot-and-mouth disease) outbreak provides an extremely rich source of spatio-temporal epidemic data, it is not clear how the models and parameters from the UK can be translated to other scenarios.

Risk factors were determined by analyzing the epidemic data using the brainstorming method; the analytic hierarchy process was designed to weigh risk factors, and the integrated multicriteria analysis was used to evaluate the final result.

Salmonella epidemic data are from CDC.

In the technology sector, China Telecom, Cisco Systems, Motorola and Siemens donated more than $2.6 million in equipment to develop a national epidemic data network for coordinating China's response to SARS (severe acute respiratory syndrome).

One reason for the upsurge of discrete epidemic models is that discrete models have advantages in describing an infectious disease since epidemic data are usually collected in discrete time units, which would make it more convenient to use discrete-time models [11].

On one hand, discrete epidemic models have advantages in describing an infectious disease in comparison with continuous models since epidemic data are often collected at discrete times (such as daily, monthly, yearly, etc).. On the other hand, for some certain practical purposes, it is often necessary to obtain solutions of model (3) that describe the evolution of all variables with time.

We frame our suggestions for integrating and analyzing co-epidemic data within the context of global disease monitoring.

Observed number of alleles and allele frequency in the initial population were specified with the pre-epidemic data for both populations.

We first applied a Poisson seasonal regression model to morbidity data in order to estimate the baseline seasonal ILI incidence [9], [10]: the model was estimated based on non-epidemic data, defined as a weekly morbidity rate below 279 cases per 100,000 inhabitants.