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This review summarises available information on the key parasitological, entomological, and epidemiological characteristics of the infection and argues for the mobilisation of resources to control the disease, and the development of a mathematical transmission model to guide deployment of interventions.
This is in contrast to the usual field deployment of interventions which are rolled out over an extended period.
A key element of the contingency planning for an influenza pandemic in the United Kingdom has been the development and validation of real time transmission models that can predict the future impact on health care resources and evaluate the optimal deployment of interventions such as school closure and vaccination [1], [11], [12].
Global threshold is the number of cases needed for public health officials to declare an outbreak of pandemic influenza in a region requiring deployment of interventions.
Mathematical models provide one approach to some otherwise intractable issues, such as understanding the likely long-term effects of large-scale deployment of interventions that have population-level effects like ITNs and IRS.
When the deployment of interventions is stopped, transmission and prevalence quickly revert to preintervention levels, so high coverage levels of interventions must be sustained to maintain reductions in transmission and prevalence.
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In recent years, the design and deployment of persuasive interventions for inducing sustainable urban mobility behaviors has become a very active research field, leveraging on the pervasive usage of social media and mobile apps by citizens in their daily life.
Full deployment of these interventions could potentially prevent approximately two-thirds of MIs and one-third of strokes.
Conducting a sensitivity analysis that incorporated these population increases would require assumptions of future incidence rates of these health outcomes, based on assumptions of socioeconomic development, including improvements in health care delivery, the rate of deployment of current interventions, and the development of more effective technologies.
The unique population-level Weqaya Programme for UAE Nationals living in Abu Dhabi has recruited more than 94% of adults into a screening programme for the rapid identification of those at risk and the deployment of targeted interventions to control that risk.
Particularly, we can assume that non-served and underserved populations are not routinely offered seasonal influenza vaccine because this is not a standard public health practice or a public health priority in many low-and medium income countries, where determinants such as vaccine availability as well as financial and political barriers prevent the effective deployment of these interventions.
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