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We have presented an automatic visual surveillance system able to detect major motion patterns and events in crowd scenes.
A sensitive surveillance system, able to quickly detect and identify any importation and guide a programmatic response, is critical.
Public health officials tended to prefer a timely and sensitive surveillance system able to detect all possible outbreaks of emerging or known infectious diseases.
In fact, great effort should be made in order to establish a surveillance system able to detect and treat cases as soon as possible since a delay of more than 24 hours could make both antiviral treatment and prophylaxis very inefficient.
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The existence of surveillance systems able to represent an early warning tool is pivotal for preventing the spread of infectious diseases.
Even those NICUs not interested in participating in a voluntary surveillance system were able to record HCAI with a similar sensitivity and specificity and were also able to use the data for reducing HCAI rates to the same extent as NICUs with voluntary participation and therefore probably more interest in this subject.
The surveillance system was able to capture injury related information in a simple one-page proforma which could be administered easily without hampering the routine schedule of the emergency department medical staff.
The RA-SPRT method implemented within an automated surveillance system was able to detect institutional outliers in a statewide clinical registry.
The surveillance system was able to track trends and patterns of antibiotic use in all the types of facilities: public facilities, private clinics and private retail pharmacies.
The surveillance system was able to detect the first patient with SARS (patient A) and one of his secondary case-patients (patient D).
In 2013, the integrated human, entomological, and animal surveillance system was able to monitor the spread of WNV and supported the application of control measures for blood transfusions and organ donations, preventing the transmission of the disease among human population.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com