The rapid implementation of cost-effective data collection systems in developing countries is a key priority if global public policy to promote health is to be more effectively informed.
Design of a cost-effective data collection scheme, i.e., data-worth analysis, requires quantifying model parameter, prediction, and both current and potential data uncertainties.
What's more, they had become highly skilled at running reliable, scalable, cost-effective data centers out of need.
Several bottlenecks slow-down the transition from conventional to personalized medicine: generation of cost-effective high-throughput data; hybrid education and multidisciplinary teams; data storage and processing; data integration and interpretation; and individual and global economic relevance.
We developed an approach for rapid mapping of aboveground C density (ACD; units = Mg or metric tons C ha−1) on islands at a spatial resolution of 30 m (0.09 ha) using a combination of cost-effective airborne LiDAR data and full-coverage satellite data.
Further developments will include the planning of cost-effective additional field data acquisition based on the outcome of the stochastic model.
Validation of this new methodology would therefore offer the prospect of cost-effective acquisition of long-term creep design data.
Although real-time DAQ strategies have been adequately explored, challenges of implementing a cost effective higher throughput of data that matched with specific requirements of the sensors within very tight timing window still remain due to the reliability issue related to the wireless approach.
With that said, there is a need to monitor and maintain the surveillance of WASH in both schools and communities, coupled with the ever increasing need for up to date, reliable data for informed decision making, it is essential to use consistent, fast, accurate and cost effective method of data collection".
Data linkage of available existing data is cost effective as it includes a variety of data sources for a large sample size representative of the population.
Although the approach is cost effective, the underlying data is susceptible to many types of error.
