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During the multi-country outbreaks of Severe Acute Respiratory Syndrome (SARS) in 2003, public health officers experienced difficulties in prompt data collection and analysis, due primarily to the lack of an efficient information system to integrate the epidemiologic, clinical and laboratory information collected during the rapidly evolving epidemic phases in different epidemic settings [1].
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The Connect project supports integration of community data in the national MTUHA in order to improve the comprehensiveness and quality of health information in general and prompt data interpretation, discussion, and problem solving in community settings.
Such potential for power and efficiency is particularly pertinent in humani-tarian contexts where prompt data collection may be an ethical and pragmatic imperative.
In the cases for which full screening outcome and prompt data were available, there was at least one prompt in 64% of the normal mammograms.
In addition, the rapid and technically simple method permits high throughput and prompt data analysis.
We acknowledge and appreciate the support provided by the supervisory staff of National Tuberculosis Institute, their constant field supervision immensely helped in prompt and reliable data collection.
This was quickly resolved when the EGA amended the alert to explain that UK10K studies had been updated with additional dataset(s) and that a new password was required in order to maintain security, prompting data users to access the latest version of the data.
For Siemens Biograph 64, list mode data were separated in prompt and random sinograms, and images were reconstructed using attenuation weighted ordered subset expectation maximization without PSF (Iterative3D) and with PSF (TrueX).
Collating data from multiple sources provided an immediate means of triangulation, revealing gaps, ambiguities or apparent contradictions in the data, prompting supplementary data collection.
(There was no one trained at the school to put in the data, prompting district officials to send over help immediately).
Drawings of students' heads feature widely in the data, prompting us to raise questions about the disembodied nature of mathematics learning in schools.
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