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As expected, the impacts of the simulated interventions are sensitive to intervention coverage, although this relationship is not linear.
It is reasonable to assume that this kind of research and interventions are sensitive to local contextual factors, like physical and psychosocial issues in the population in focus.
Complex systems are also path-dependent: outcomes of interventions are sensitive not only to initial (current) conditions, but also to decisions taken in the past.
Disease-specific measures however can detect subtle changes due to interventions, are sensitive to the disorder under investigation and may be more likely than generic tools to reflect clinical changes in that disorder.
Efforts to decrease stigma around HIV and HCT by integrating testing into general and sexual reproductive health services will go some way to decreasing fears around testing, especially if interventions are sensitive to pervasive personal and social-level factors.
The outcome of modelling studies used to assess the effectiveness of various proposed interventions are sensitive to the operational details of the interventions (such as the timing and duration of school closure [ 7, 27, 28]) and to the particular combination of interventions used.
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The introduction of complex, multi-component interventions is sensitive to an array of influences such as details of implementation and context [ 11, 12] and as such calls for embracing a wide range of scientific methodologies.
Any US intervention is sensitive in Venezuela because Washington has a history of both covert and open intervention across Latin America, from Chile to Nicaragua.
The intervention was sensitive to local needs, fostered active coping styles and allowed for indigenous solutions suited to the local cultural context.
Intervention planners need to develop interventions that are sensitive to local contexts across Europe, demonstrating awareness of the fixed characteristics of that healthcare system and acknowledging the ways these may constrain clinicians' prescribing decisions.
Typically, problems are multiple rather than dual, with potential for mutual influence, suggesting a need for interventions that are sensitive to and encompass complex co-occurring problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com