background and purpose: surveillance is a system of continuing health checks, is considered as a critical part of public health practice for planning and implantation of effective prevention and control interventions for communicable diseases in the region. the aim of this study was to determine the effects of an active method of data collection on the improvement of these diseases surveillance...

BACKGROUND Given the growing interest in mobile data collection due to the proliferation of mobile phone ownership and network coverage in low- and middle-income countries (LMICs), we synthesized the evidence comparing estimates of health outcomes from multiple modes of data collection. In particular, we reviewed studies that compared a mode of remote data collection with at least one other mod...

Research into developing more reliable microscopic traffic simulation models is seriously hampered by the availability of suitable microscopic data for calibration and validation purposes. This paper presents a review of several data collection technologies that the authors have been experimenting with. The methods include (i) video recording (ii) the use of differential GPS (DGPS) and (iii) an...

Research methods are set of rules to be followed to achieve ultimate research objectives. There are several research methods, such as case study, survey, action research and experimental. In this paper, the authors attempt to present the comparative study of two research methods for the data collection in the context of wireless sensor network.

The Methods Test Panel (MTP) is a survey research vehicle designed by the Bureau of the Census to test a l te rna t i ve methodologies and concepts used in the Current Population Survey (CPS). The MTP is an attempt to improve the qua l i t y , r e l i a b i l i t y , and u t i l i t y of CPS data, and is intended to provide a way of test ing and evaluating recommendat ions from the National Com...

There have been recent efforts to use social media to estimate demographic characteristics, such as age, gender or income, but there has been little work on investigating the effect of data acquisition methods on producing these estimates. In this paper, we compare four different Twitter data acquisition methods and explore their effects on the prediction of one particular demographic character...

Over the last decade the machine learning community has watched the size and complexity of datasets grow at an exponential rate, with some describing the phenomenon as big data. There are two main bottlenecks for the performance of machine learning methods: computational resources and the amount of labelled data, often provided by a human expert. Advances in distributed computing and the advent...

Patient care practices often lag behind current scientific evidence and professional guidelines. The failure of such knowledge translation (KT) efforts may reflect inadequate assessment and management of specific barriers confronting both physicians and patients at the point of treatment level. Effective KT in this setting may benefit from the use of qualitative methods to identify and overcome...