Mathematical Sciences

Permanent URI for this communityhttps://scholarworks.montana.edu/handle/1/48

Mathematical research at MSU is focused primarily on related topics in pure and applied mathematics. Research programs complement each other and are often applied to problems in science and engineering. Research in statistics encompasses a broad range of theoretical and applied topics. Because the statisticians are actively engaged in interdisciplinary work, much of the statistical research is directed toward practical problems. Mathematics education faculty are active in both qualitative and quantitative experimental research areas. These include teacher preparation, coaching and mentoring for in-service teachers, online learning and curriculum development.

Browse

Filters

20211

Settings

Author: search.filters.author.Carnegie, Nicole BohmeSubject: search.filters.subject.additive hazards

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Using social contact data to improve the overall effect estimate of a cluster‐randomized influenza vaccination program in Senegal
    (Wiley, 2021-09) Potter, Gail E.; Carnegie, Nicole Bohme; Sugimoto, Jonathan D.; Diallo, Aldiouma; Victor, John C.; Neuzil, Kathleen M.; Halloran, M. Elizabeth
    his study estimates the overall effect of two influenza vaccination programs consecutively administered in a cluster-randomized trial in western Senegal over the course of two influenza seasons from 2009-2011. We apply cutting-edge methodology combining social contact data with infection data to reduce bias in estimation arising from contamination between clusters. Our time-varying estimates reveal a reduction in seasonal influenza from the intervention and a nonsignificant increase in H1N1 pandemic influenza. We estimate an additive change in overall cumulative incidence (which was 6.13% in the control arm) of -0.68 percentage points during Year 1 of the study (95% CI: -2.53, 1.18). When H1N1 pandemic infections were excluded from analysis, the estimated change was -1.45 percentage points and was significant (95% CI, -2.81, -0.08). Because cross cluster contamination was low (0-3% of contacts for most villages), an estimator assuming no contamination was only slightly attenuated (-0.65 percentage points). These findings are encouraging for studies carefully designed to minimize spillover. Further work is needed to estimate contamination – and its effect on estimation – in a variety of settings.
Copyright (c) 2002-2022, LYRASIS. All rights reserved.