This study employed AERS data from 2001 through 2005. To explore the nature, extent and possible consequences of masking in the US FDA Adverse Event Reporting System (AERS) database by applying various experimental unmasking protocols to a set of drugs and events representing realistic pharmacovigilance analysis conditions. Masking has been predicted theoretically, observed anecdotally or studied to a limited extent in both pharmaceutical company and health authority databases, but no previous publication systematically assesses its occurrence in a large health authority database. This allows to better predict bed level changes in estuaries as a response to climate change or human measures.A phenomenon of 'masking' or 'cloaking' in pharmacovigilance data mining has been described, which can potentially cause signals of disproportionate reporting (SDRs) to be missed, particularly in pharmaceutical company databases. The resulting knowledge of sediment transport in stratified flow and of sediment transport in mixtures, will be incorporated in a numerical model. We will carry out laboratory experiments in the Kraijenhoff van de Leur Laboratory for Water and Sediment Dynamics at Wageningen University, studying the transport processes of sediment mixtures. The interaction between these different types of sediment is not well understood. In the New Waterway, and many other estuarine channels, a mixture of sand, silt and clay is present. Since the New Waterway is characterized by a strong salt-wedge type of flow ( Figure 3), the results of the data analysis will contribute to our understanding of sediment transport in heavily stratified channels. An extensive field campaign in the New Waterway was carried out to better understand to transport of sediment (ranging from fine silt to sand) in this channel.
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