Sentence examples for mathematical modelers and from inspiring English sources

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Eventually, she'd like to strike out on her own and become an independent investigator, continuing to study HIV transmission while helping mathematical modelers and epidemiologists cooperate better.

This hypothesis represents an area of intense current investigation for clinicians, virologists, mathematical modelers, and immunologists.

In their shared evolutionary foundations, anthropologists, geneticists, physiologists, mathematical modelers and parasitologists turn out to have much in common.

Explicit quantification of an optimal vaccination policy ([ 33]) in a multi-group population scenario remains to be a challenge for mathematical modelers and is beyond the scope of this work.

This is often described as virulence; however, the term virulence can mean different things to insect pathologists, evolutionary biologists, and mathematical modelers, and can describe both mortality and speed of kill (or mortality rate) (see Thomas and Elkinton 2004; Shapiro-Ilan et al. 2005).

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This position allowed him to pursue a broad program of theoretical and field research that combined his unusual talents as both a mathematical modeler and a knowledgeable naturalist.

Wilson, a mathematical modeler and head of the Kirby's surveillance division, also notes that more treatment means more HIV-infected people survive who can potentially spread the infection, as some undoubtedly will remain infectious.

"The various numbers that are currently being bandied about" emphasize "the importance of keeping to the rule that the Scientific Committee is the authority" and should be the only body calculating any such quotas, says Justin Cooke, a mathematical modeler and committee member in Freiburg, Germany, who represents the International Union for Conservation of Nature.

The evolution of infectious diseases has been described and analyzed by many mathematical modelers, while conventional mathematical modeling of the spread of the disease has usually ignored or underestimated the importance of the spatial exposure of an epidemic (see [12 16] and references therein).

ECC has seven research projects in ecology under way, with participants from universities throughout the United States and, in the case of St. John's project, with collaborators in the U.K. His ECC project aims at breaking down not only geographical barriers but also philosophical and cultural barriers between lab-based empirical scientists and mathematical modelers.

Mathematical modelers from different disciplines and regulatory agencies worldwide agree on the importance of a careful sensitivity analysis (SA) of model-based inference.

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