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Prompt space-time analyses are critical elements for accurate outbreak detection and mitigation purposes.
Because of the spatio-temporal anisotropy of outbreaks the small-world network is the surveillance network with the highest value of information, that implies the most accurate outbreak source detection and outbreak pattern prediction.
The public health implication of these findings in the global context is that formal and informal surveillance can complement each other for more rapid and accurate outbreak reporting.
These findings suggest that informal sources provide early and accurate outbreak information, but also that formal sources have improved in speed and transparency compared to previous studies.
Despite the lack of clarity in these relationships, public health agencies will likely play a critical role in the provision of information, medications, and vaccine dissemination as they will be supplied by the federal strategic national stockpile and may have the most accurate outbreak information as the pandemic unfolds.
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Likewise, we highlight the need to collect accurate VPD outbreak data, procedures carried out for outbreak control and outcomes in an understandable manner, according to timely updated guidelines or protocols for each VPD and using consensus variables for the auditing of VPD outbreak management.
There are many sources of variation in such data; statistical methods need to accurately model them as a basis for timely and accurate disease outbreak methods.
In the absence of accurate ASF outbreak data and few quantitative studies on the epidemiology of the disease in Africa, we used spatial multi-criteria decision analysis (MCDA) to derive predictions of the continental distribution of suitability for ASF persistence in domestic pig populations as part of sylvatic or domestic transmission cycles.
This study emphasizes the importance of utilizing both formal and informal sources for timely and accurate infectious disease outbreak surveillance.
In an investigation of a gastroenteritis outbreak, accurate diagnosis and early identification of the origin of contaminated food is essential to prevent new cases, since it enables control measures to be implemented.
Why has it been so difficult to get accurate information about outbreaks of bird flu around the world?
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