Elena N Naumova

Tufts University | Tufts · Initiative for the Forecasting and Modeling of Infectious Diseases (InForMID)

Growing debates about algorithmic bias in public health surveillance lack specific examples. We tested a common assumption that exposure and illness periods coincide and demonstrated how algorithmic bias can arise due to missingness of critical information related to illness and exposure durations. We examined 9407 outbreaks recorded by the United...

Global dietary data repositories are key components of nutrition surveillance. The two most comprehensive databases, the Global Dietary Database (GDD) and the Global Burden Disease (GBD), provide national dietary intake estimates but use different data sources and models to generate estimates. To explore the agreement between GDD and GBD estimates,...

The extent to which early weight loss in behavioral weight control interventions predicts long-term success remains unclear. In this study, we developed an algorithm aimed at classifying weight change trajectories and examined its ability to predict long-term weight loss based on weight early change. We utilized data from 667 de-identified individu...

There is a lack of datasets to study the climate and human outcomes nexus. There are many flood data portals due to recent improvements in flood identification using satellites, providing opportunities to study the human impacts. The development of these portals is rapid and there is currently no standard for evaluating their usability for interdis...

It is unknown how recurring flooding impacts household diet in Central Java. We aimed to assess how recurrent flooding influenced household food access over 22 years in Central Java by linking the Global Surface Water dataset (GSW) to the Indonesian Family Life Survey. We examined linear and nonlinear relationships and joint effects with indicators...

Data analytics (DA) and artificial intelligence (AI) play increasingly vital roles in food, nutrition, environment, and public health research and practice. With the continued successful development, professionals in these fields could rely on data analytics and AI for tasks such as data collection, decision-making, and policy development. Proficie...

Global health surveillance systems could be an incredible measure of progress if we properly prepare the future public health workforce; otherwise, they risk becoming an unrelenting drain on resources. The COVID-19 pandemic has demonstrated the potential for global surveillance as a product of collaborative efforts to track infections in real-time...

Food insecurity increased during the COVID-19 pandemic, but the impact varied across different age groups during the prolonged public health emergency. This study sought to describe national food insecurity prevalence by adult age group at multiple stages of the pandemic and explore differences by demographic characteristics. Data were from the nat...

Adequate dietary intake plays an important role in fostering growth and preventing diseases. Understanding dietary needs at both local and global levels provides valuable insights for various stakeholders, including researchers, policymakers, public health practitioners, and healthcare professionals, guiding informed dietary decisions. In this chap...

The surge of digital transformation and the advancement in the computational ability to store, analyze, and visualize intricate nutrition and health data has revolutionized the field of nutrition surveillance, significantly expanding its scope and volume. Nutrition and health data are experiencing exponential growth, encompassing a spectrum from om...

Recurrent exposures to a pathogenic antigen remodel the CD8⁺ T cell compartment and generate a functional memory repertoire that is polyclonal and complex. At the clonotype level, the response to the conserved influenza antigen, M158–66 has been well characterized in healthy individuals, but not in patients receiving immunosuppressive therapy or wi...

Background and Aims Ultra-processed foods (UPF) are formulations of ingredients that are mostly of exclusive industrial use and may contain additives like artificial colors, flavors, or stabilizers. The sale and consumption of these foods has been increasing despite their associations with increased risk for several non-communicable diseases includ...

During the COVID‐19 pandemic, the idea of collaboration and scientific exchange between members of the scientific community was enhanced by technology. Virtual meetings and work platforms have become common resources to continue generating research, partially replacing instances of joint in‐person work before, during or after a conference. The idea...

At the molecular level, we observed that immune response to the influenza virus becomes diverse upon repeated viral exposures and can be presented as a fractal self-similar system. We proposed an adaptation of the Markov chain process to model the dynamics of memory T-cell repertoire considering typical experimental conditions. We derived model-ins...

The COVID-19 pandemic severely impacted food access and nutritional security across the United States, and exacerbated disparities in household food insecurity rates particularly among older adults due to potential for reduced food access, mental or physical health limitations, or fixed incomes. This study investigated food insecurity among older a...

BACKGROUND: Seasonal cycles in climatic factors affect drivers of child growth and contribute to seasonal fluctuations in undernutrition. Current growth seasonality models are limited by categorical definitions of seasons that rely on assumptions about their timing and fail to consider their magnitude. OBJECTIVE: We disentangle the relationship b...

In January, 2023, the Science and Security Board of the Bulletin of the Atomic Scientists moved the hands of the Doomsday Clock forward to 90’s before midnight, reflecting the growing risk of nuclear war.1 In August, 2022, the UN Secretary-General António Guterres warned that the world is now in “a time of nuclear danger not seen since the height o...

Reduction of wasting, or low weight-for-height, is a critical target for the Zero Hunger Sustainable Development Goal, yet robust evidence establishing continuous seasonal patterns of wasting is presently lacking. The current consensus of greatest hunger during the preharvest period is based on survey designs and analytical methods, which discretiz...

Background Understanding seasonal patterns in nutritional status is critical for achieving and tracking global nutrition goals. However, the majority of nutrition seasonality research design draws on 2 or 3 within-year time points based on existing assumptions of seasonality, missing a more nuanced pattern. Objective We aimed to identify the intra...

Background Malnutrition is an umbrella term that refers to an impairment in nutrition indicative of subsequently compromised human well-being. The term covers the full spectrum of nutritional impairments from a small yet detectable departure from a “norm” to a terminal stage when severe malnutrition could result in death. This broad spectrum of nut...

In January, 2023, the Science and Security Board of the Bulletin of the Atomic Scientists moved the hands of the Doomsday Clock forward to 90 s before midnight, reflecting the growing risk of nuclear war. In August, 2022, the UN Secretary-General António Guterres warned that the world is now in “a time of nuclear danger not seen since the height of...

In January 2023, the Science and Security Board of the Bulletin of the Atomic Scientists moved the hands of the Doomsday Clock forward to 90 seconds before midnight, reflecting the growing risk of nuclear war. In August 2022, the UN Secretary-General António Guterres warned that the world is now in “a time of nuclear danger not seen since the heigh...