M
M. Elizabeth Halloran
Researcher at Fred Hutchinson Cancer Research Center
Publications - 270
Citations - 19557
M. Elizabeth Halloran is an academic researcher from Fred Hutchinson Cancer Research Center. The author has contributed to research in topics: Vaccination & Population. The author has an hindex of 56, co-authored 248 publications receiving 15685 citations. Previous affiliations of M. Elizabeth Halloran include University of Washington & Washington University in St. Louis.
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A Markov model for measuring vaccine efficacy for both susceptibility to infection and reduction in infectiousness for prophylactic HIV vaccines
TL;DR: Joint estimation of the VES and VEI will likely be feasible in a currently planned HIV vaccine trial among injecting drug users in Bangkok, Thailand, if one augments the information about the primary participants in the trial with information about their steady sexual partners.
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A family study of lymphedema of the leg in a lymphatic filariasis-endemic area.
TL;DR: This is the first large family study based on pedigrees to assess the familial aggregation of lymphedema due to filariasis and will be useful to investigate the role of genes and environment in the development of filarial-related lympheredema.
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Predictive modeling of cholera outbreaks in bangladesh.
TL;DR: This model can successfully predict an increase in the number of infected individuals in the population weeks before the observed number of cholera cases increases, which could allow for early notification of an epidemic and timely allocation of resources.
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The Effect of Age on Transmission of 2009 Pandemic Influenza A (H1N1) in a Camp and Associated Households
Jonathan D. Sugimoto,Nagesh N. Borse,Myduc L. Ta,Lauren J. Stockman,Gayle E. Fischer,Yang Yang,M. Elizabeth Halloran,Ira M. Longini,Jeffrey S. Duchin +8 more
TL;DR: The strong age effect plausibly explains the lower-than-expected household secondary attack rate for influenza-like illness, illustrating the importance of other venues where children congregate for sustaining community transmission.
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Model-based estimation of vaccine effects from community vaccine trials
TL;DR: It is demonstrated that the model-based approach can be used as a public health policy tool for predicting the community level effects of vaccination by predicting total vaccine effectiveness for the whole range of vaccination fractions.