Sentence examples for epidemiological interventions from inspiring English sources

Epidemiological interventions aim to control the spread of infectious disease through various mechanisms, each carrying a different associated cost.

All computational methods used herein have been made freely available through the amei (Adaptive Management of Epidemiological Interventions) R package [11].

Epidemiological interventions generally remove susceptible individuals or apply some form of treatment to infected individuals in order to prevent further spread of a disease.

All statistical and computational methodology described here has been implemented in a freely available R package called amei (Adaptive Management of Epidemiological Interventions), which can be downloaded at http://cran.r-project.org/web/packages/amei/index.html [11].

We describe a flexible statistical framework for generating optimal epidemiological interventions that are designed to minimize the total expected cost of an emerging epidemic while simultaneously propagating uncertainty regarding the underlying disease model parameters through to the decision process.

Compared to most epidemiological interventions, genetic control strategies are long-term, proactive (rather than reactive), and less likely to cause undesirable side effects such as environmental spillover or emergence of highly virulent or antimicrobial resistant pathogen strains (Gibson and Bishop 2005; Kemper et al. 2013).

For example, an epidemiological intervention reaches many people who live in the same neighbourhood, rather than only one person at a time.

The balance between public and individual interests can also be tempered by choices in the design of the epidemiological intervention.

The public and individual dimensions interact insofar as a duty to participate can only be recognised where an epidemiological intervention addresses a real threat, and will plausibly deliver public benefit that includes participating individuals, at least with a high likelihood.

Effective epidemiological intervention requires swift decision in consideration of the various direct and indirect costs of intervention.

Epidemiological intervention studies in cohorts including younger adults are clearly needed to test the impact of intervention measures.