Understanding how risks to human health change as a result of seasonal variations in environmental conditions is likely to become of increasing importance in the context of climatic change, especially in lower-income countries. A multi-disciplinary approach can be a useful tool for improving understanding, particularly in situations where existing data resources are limited but the environmenta...

Unprecedented global surveillance of viruses will result in massive sequence data sets that require new statistical methods. These data sets press the limits of Bayesian phylogenetics as the high-dimensional parameters that comprise a phylogenetic tree increase the already sizable computational burden of these techniques. This burden often results in partitioning the data set, for example, by g...

SAD is a state of depression induced by a lack of sufficient sunlight that occurs at high latitudes during the fall and winter. SAD causes people to be risk-adverse. Granting agencies of high latitude countries should time high-risk research competitions so they do not coincide with the SAD months.

BACKGROUND As observed during the 2009 pandemic, a novel influenza virus can spread globally before the epidemic peaks locally. As consistencies in the relative timing and direction of spread could form the basis for an early alert system, the objectives of this study were to use the case-based reporting system for laboratory confirmed influenza from the Canadian FluWatch surveillance program t...

allergic rhinitis is the most common cause of allergic diseases. the recent guidelines of allergic rhinitis and its impact on asthma (aria) group, classified it to intermittent (less than 4 days per week and for less than 4 weeks) and persistent (more than 4 days per week or lasting more than 4 weeks regardless of the number of days per week). the present study evaluates the patients with aria ...

Although many articles have been written concerning the improved accuracy of combined forecasts, sometimes the obvious is overlooked. By combining seasonal indices and cyclical factors with other explanatory variables, forecasting models acquire increased accuracy for out-of-sample predictions.. This paper encourages the use of least squares forecasting models with time series components. It al...

T his paper analyses the relation between GNP sectors of Iran’s economy. The different sectors of the economy directly or indirectly affect each other and can complement or follow each other. Using a number of empirical tests, the paper finds evidence of seasonal or periodic integration in the underlying data. This means that the conventional cointegration tests may not be robust and in re...