Nina H. Fefferman

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Influenza Seasonality: Underlying Causes and Modeling Theories Eric Lofgren,*† N. H. Fefferman,† Y. N. Naumov, J. Gorski, and E. N. Naumova Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts; Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts; and The Blood(More)
In this review, we provide a current reference on disease resistance in insect societies. We start with the genetics of immunity in the context of behavioral and physiological processes and scale up levels of biological organization until we reach populations. A significant component of this review focuses on Apis mellifera and its role as a model system(More)
In the modeling of infectious disease spread within explicit social contact networks, previous studies have predominantly assumed that the effects of shifting social associations within groups are small. These models have utilized static approximations of contact networks. We examine this assumption by modeling disease spread within dynamic networks where(More)
There are multiple approaches to sensitivity analysis used to identify the age(or stage-) specific rate of reproduction or survival that most affects population growth—all of which involve evaluating effects on k, the dominant eigenvalue of the Leslie matrix. Management recommendations generated by these approaches can be difficult to determine, in part(More)
BACKGROUND Influenza infections pose a serious burden of illness in the United States. We explored age, influenza strains, and seasonal epidemic curves in relation to influenza-associated mortality. METHODS The state of Wisconsin death records for the years 1967-2004 were analyzed for three distinct populations: children, general population, and elderly.(More)
OBJECTIVE Fecal microbiota transplantation (FMT) has been suggested as a new treatment to manage Clostridium difficile infection (CDI). With use of a mathematical model of C. difficile within an intensive care unit (ICU), we examined the potential impact of routine FMT. DESIGN, SETTING, AND PATIENTS A mathematical model of C. difficile transmission,(More)
Arguably one of the most important effects of climate change is the potential impact on human health. While this is likely to take many forms, the implications for future transmission of vector-borne diseases (VBDs), given their ongoing contribution to global disease burden, are both extremely important and highly uncertain. In part, this is owing not only(More)
A significant proportion of human diseases, spanning the gamut from viral respiratory disease to arthropod-borne macroparasitic infections of the blood, exhibit distinct and stable seasonal patterns of incidence. Traditional statistical methods for the evaluation of seasonal time-series data emphasize the removal of these seasonal variations to be able to(More)
Identifying the mechanisms of colony reproduction is essential to understanding the sociobiology of honey bees. Although several proximate causes leading to the initiation of queen rearing – an essential prerequisite to swarming – have been proposed, none have received unequivocal empirical support. Here we model the main proximate hypotheses (colony size,(More)
BACKGROUND With the growing adoption of electronic medical records, there are increasing demands for the use of this electronic clinical data in observational research. A frequent ethics board requirement for such secondary use of personal health information in observational research is that the data be de-identified. De-identification heuristics are(More)