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Under the circumstance of the changing climate, truly effective surveillance systems and monitoring systems can be used to identify changes in the range and incidence of diseases; determine whether these changes are to be the result of climate change; assist the development of response measures and develop hypotheses about the climate-health relationship [ 108].
We need to stop focusing on stopgap measures and develop long-term strategies.
Next, we review various distance measures and develop a design methodology for distances.
We show how decision/policy makers can use the presented methodology to plan landscape protection measures and develop specific regulation strategies for visitors based on the ES delivery chain concept.
Finally, this can help policy makers move away from application of general innovation policy measures and develop specific and suitable strategies for each region that can reveal its significant strengths and opportunities and lead to smart specialization strategies (Foray et al. 2009).
It is necessary that the curriculum of Anatolian Teacher Training High Schools should be redesigned and the Ministry of Education and policy makers should take some measures and develop new teaching policies, and provide additional opportunities to develop consciousness on teaching profession.
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We demonstrated that it is possible to design traffic monitoring campaigns with multiple goals (e.g., estimating performance measures and developing spatial models).
Hence, using network-based behavior prevalence models is crucial for obtaining more accurate predictions about disease spread, evaluating different control measures and developing appropriate vaccination policies.
We used a different methodologic approach in our study in terms of how we measured segregation, derived area-level SES measures, and developed our statistical models, yet the consistency of results between these two segregation studies is noteworthy.
Numerous studies have shown that human behavior has a notable effect on infection dynamics and that its incorporation into epidemic models is essential for making more accurate predictions about disease spread, evaluating different control measures and developing appropriate policies.
Chen et al. [ 22] adopted global network similarity measures and developed Random Walk with Restart for MiRNA-Disease Associatoon (RWRMDA) to infer potential miRNA-disease associations by implementing random walk on the miRNA-miRNA functional similarity network.
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