Katherine Ensor

Professor

Rice University

United States

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About

Dr. Katherine Ensor is a Professor at Rice University, located in the United States. Her research primarily focuses on nonlinear hierarchical time series analysis, wastewater epidemiology, and statistical foundations for innovation. Recent articles authored by Dr. Ensor emphasize the assessment of viral trends, the correlation between wastewater SARS-CoV-2 levels and community infections, and the development of data visualization platforms for environmental monitoring.

Articles (19)

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2025

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2021

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2021

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2020

Collaborators (11)

Erin Driver

University of Georgia

UNITED STATES

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Loren Hopkins (previously Raun)

Professor in the Practice

Rice University

UNITED STATES

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Christine L Moe

Eugene J Gangarosa Professor of Safe Water and Sanitation

Emory University

UNITED STATES

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Bradley Stevenson

Research Associate Professor

Northwestern University

UNITED STATES

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Mercedes Bravo

Assistant Professor

Duke University

UNITED STATES

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Todd Treangen

Rice University

UNITED STATES

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Julia Schedler

Assistant Professor

California Polytechnic State University, San Luis Obispo

UNITED STATES

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Bonnie Joubert

National Institute of Environmental Health Sciences

UNITED STATES

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Thomas Webster

Professor

Boston University School of Public Health

UNITED STATES

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Chris Gennings

Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Lauren B. Stadler

Rice University

UNITED STATES

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Katherine Ensor

Research Interests

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Articles (19)

Uncovering Dynamic Relationships Between SARS-CoV-2 Wastewater Concentrations and Community Infections via Bayesian Spatial Functional Concurrent Regression

A Nonlinear Hierarchical Time Series Approach to Citywide Trend Assessment of Viruses, Hot Spot Signals, and Right-Sizing System

Statistical Foundations Driving 21st Century Innovation

Wavelet-L2E Stochastic Volatility Models: an Application to the Water-Energy Nexus

Public Health Interventions Guided by Houston’s Wastewater Surveillance Program During the COVID-19 Pandemic

Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater

Targeted Metagenomic Sequencing for Detection of Vertebrate Viruses in Wastewater for Public Health Surveillance

Citywide wastewater SARS-CoV-2 levels strongly correlated with multiple disease surveillance indicators and outcomes over three COVID-19 waves

Denoising Non-Stationary Signals via Dynamic Multivariate Complex Wavelet Thresholding

Development and demonstration of a data visualization platform of short-term guidelines for ambient air levels of benzene during disaster response in Houston, Texas

Engine No. 1 CEO Reflects on the Future of Climate Change

Helping Society Mitigate Effects of Climate Change

Schools and Wastewater Surveillance: Practical Implications for an Emerging Technology to Impact Child Health

Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods

Wastewater surveillance of pathogens can inform public health responses

Racial residential segregation shapes the relationship between early childhood lead exposure and fourth-grade standardized test scores

A spatiotemporal case‐crossover model of asthma exacerbation in the City of Houston

Bayesian variable selection for understanding mixtures in environmental exposures

Dynamic jump intensities and news arrival in oil futures markets

Collaborators (11)

Erin Driver

Loren Hopkins (previously Raun)

Christine L Moe

Bradley Stevenson

Mercedes Bravo

Todd Treangen

Julia Schedler

Bonnie Joubert

Thomas Webster

Chris Gennings

Lauren B. Stadler

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