For example, a program developed by the global nonprofit Grameen Foundation and partners in Uganda used data collected from small-scale farmers to detect, notify and control the outbreak of dangerous weather-sensitive outbreaks of crop disease.
Data sources are more sensitive to outbreak detection if they carry information that can be used to group persons potentially affected by an event and to exclude those unaffected.
In this region, the BHGO UD does not provide probabilities sensitive to predicting outbreak versus non-outbreak locations given the low number of total outbreaks.
Since higher levels of spatial resolution can result in more sensitive detection of outbreaks [10], [11] we used 4-digit postal-codes (4023 areas in a 16 million population), which provide the highest level of spatial resolution available within privacy regulations.
In contrast to CUSUM, EXPO should allow for more sensitive detection when outbreaks appear against a linearly increasing background pattern.
The national veterinary surveillance system in Cambodia is probably not sufficiently sensitive to detect outbreaks resulting from a low prevalence of circulating subtype H5N1.
Investigators concluded that the decision instrument was highly sensitive for selecting outbreaks and incidents that require reporting under the proposed IHR revision.
Additionally, we required the monitoring procedure to be sensitive to any outbreak - not only the expected seasonal outbreak.
We report about an outbreak sensitive to Polimyxin only.
As the heterogeneity of data sources increases, it may be that a similarly automated dynamic weighting method for assessing the relative contribution to overall signal strength from each data source could lead to a far more sophisticated and sensitive system for outbreak detection.
While one might argue that animals are the most sensitive sentinels for RVFV outbreaks, there are considerable disincentives for reporting RVFV outbreaks.
