Background The early identification of outbreaks of both known and novel influenza-like illnesses (ILIs) is an important public health problem.Objective This study aimed to describe the design and testing of a tool that detects and tracks outbreaks of both known and novel ILIs, such as the SARS-CoV-2 worldwide pandemic, accurately and early.Methods
The topic of this paper is the relation between a real-world Surveillance Cameras category (sex) and a linguistic category (gender).In the first part, the gender system of Indo-European languages is discussed.Then the gender-system in a language without grammatical gender is described.Finally, a few general comments are hazarded on the difficult qu
Abstract Background Delayed post-traumatic bleeding at Surveillance Cameras various sites is known due to vascular abnormalities related to structural changes in the vessel walls, in the form of pseudo aneurysms and arteriovenous malformations.Delayed epistaxis following facial trauma is a distinct entity that presents as recurrent episodes of blee
A quantitative understanding of the dynamics of bee colonies is important to support global efforts to improve bee health and enhance pollination services.Traditional approaches focus either on theoretical models or data-centred statistical analyses.Here we argue that the combination of these two approaches is essential to obtain interpretable info
This paper introduces a new method for acquiring and interpreting data on cognitive (or perceptual) networks.The proposed method involves the collection of multiple reports on randomly chosen pairs of individuals, and statistical means for aggregating these reports into data of conventional sociometric form.We refer to the method as "perceptual tom