The results suggest that including epidemic data explained most of the irregular seasonal pattern (about 18% of the total seasonal variation), allowing more parsimonious models than when adjusting for seasonality only with smooth functions of time.
Non-valvular atrial fibrillation (NVAF) is a very common arrhythmia, and its prevalence increases significantly with age. 1, 2 According to epidemic data, the prevalence of atrial fibrillation (AF) in the general Chinese population is 0.77%.
In contrast, in the present work we use non-epidemic data to infer the parameters of the probability density function of non-epidemic periods.
13 Despite the current obesity epidemic, data supporting the use of existing pharmacological agents are far from convincing.
In the absence of epidemic data, and therefore without the ability to validate predictive models for AI control in GB, mathematical models are a valuable tool for exploring the connectivity of the poultry industry.
Here we are interested in sequential treatment of epidemic data, and therefore we would like to use an alternative expression to the batch approach in (4) that allows us to compute it recursively instead of processing the entire set of L t non-epidemic weeks each time a new observation is recorded.
We did not use data collected during the epidemic on traced contacts between farms to fix the spatial kernel function in our analysis, since in the final version of the FMD epidemic data warehouse [http://www.defra.gov.uk/footandmouth/cases/index.htm] very few of the contacts apparently identified early in the epidemic remain confirmed.
Statistical and time series analyses of the epidemic data indicate that a seasonal inversion in peak mortality does exist between known Y. pestis plague and suspected Black Death epidemics.
Our objective was to validate the prior suggestions of inverse mortality peaks between medieval Black Death "plagues" and modern lab-confirmed Y. pestis-caused plague, and present a comprehensive monthly mortality meta-analysis of these epidemic data.
The large possible extrapolation inaccuracy of the Australian potyvirus evidence is offset by the fact that the data comes from several viruses We have least confidence in the results provided by the PPV epidemic data, as two different strains of the virus with seemingly different evolutionary rates were involved in the epidemic.
