In both cycles some hospitals had multiple people involved in data collection, which may have resulted in some inconsistencies.
The alternate representations we develop are statistically efficient, scale naturally, and are readily usable with collections of data-sets or controllers which may not rely on similar representational conventions.
Most information on injuries is obtained from data collections that are intended for other purposes, such as hospital admission collections [ 2], which may not provide the core information needed for injury surveillance (i.e. what injuries occurred where to whom, when they occurred and why [ 3, 4]).
Developing new assessment tools may require several years of data collection and substantial investment of resources, which may not be an option for some aquatic resource managers.
For example, timing of data collection is an essential factor when monitoring the impact of local policy changes or community initiatives, which may not coincide with national survey data collection (Mansfield and Wilson 2008).
In prospective analysis, researchers can design the data collection methods and get details of cost items (e.g., patient transportation cost, time cost), which may not be possible in retrospective analysis without any additional assumptions.
In addition, IIS can produce more timely results than some other methods, which may not yield results until after the current influenza season and the data collection phase ends.
There were potential problems with variability of specimen collection and processing, and the lack of data from community 2 necessitated a move to community 3. We investigated selected study households, which may not have been representative of the whole community.
Which may not count for much.
The example shown in Fig. 19 required many hours of data collection, which many samples could not withstand.
