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From this perspective, HM is not an automatic surveillance system, and its data must be critically reviewed by the physician.
It has the prospect of reducing subject stress and disease spread by being implemented as an automatic surveillance system and by a quick assessment of skin temperatures without need for restraint or contact.
This automatic surveillance system operates for MDRB only; hence outbreaks involving susceptible micro-organisms can be detected only through clinical observation of an increased number of cases over a given time span.
The implementation of an automatic surveillance system to detect patients with influenza or respiratory syndrome from computerized ED records could allow outbreak alerts at the intra-hospital level before the publication of regional data and could accelerate the implementation of preventive transmission-based precautions in hospital settings.
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One model targeting the field of building automation for automatic surveillance systems was developed by the work in [38, 39].
We have presented an automatic visual surveillance system able to detect major motion patterns and events in crowd scenes.
The aim of this work is to contribute to civil safety by proposing and automatic acoustic surveillance system that monitors public spaces for potentially hazardous situations.
These advantages prompted that this method should be first considered when designing an automatic disease surveillance system.
The objective of this study was to evaluate whether intra-hospital surveillance systems including an automatic syndromic surveillance system can detect the onset of influenza epidemics earlier than regional influenza surveillance networks.
Moving object detection is a crucial part of automatic video surveillance systems.
It is expected that the proposed solution will find its utility in applications like embedded automatic video surveillance systems.
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