Julia C. Schedler

ORCID: 0000-0003-1242-0048
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About
Contact & Profiles
Research Areas
  • SARS-CoV-2 detection and testing
  • Biosensors and Analytical Detection
  • COVID-19 epidemiological studies
  • Soil Geostatistics and Mapping
  • Viral gastroenteritis research and epidemiology
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Antibiotics Pharmacokinetics and Efficacy
  • Advanced Statistical Process Monitoring
  • Hydrology and Drought Analysis
  • Health Systems, Economic Evaluations, Quality of Life
  • Energy Harvesting in Wireless Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Data-Driven Disease Surveillance
  • Meteorological Phenomena and Simulations
  • Geographic Information Systems Studies
  • Hydrology and Watershed Management Studies
  • Data Management and Algorithms
  • Automated Road and Building Extraction
  • Respiratory viral infections research

Rice University
2021-2024

Abstract Wastewater surveillance has proven a cost-effective key public health tool to understand wide range of community diseases and been strong source information on levels spread for departments throughout the SARS- CoV-2 pandemic. Studies spanning globe demonstrate association between virus observed in wastewater quality clinical case population served by sewershed. Few these studies incorporate temporal dependence present sampling over time, which can lead estimation issues turn impact...

10.1038/s41598-024-56175-2 article EN cc-by Scientific Reports 2024-03-06

One measurement modality for rainfall is a fixed location rain gauge. However, extreme rainfall, flooding, and other climate extremes often occur at larger spatial scales affect more than one in community. For example, 2017 Hurricane Harvey impacted all of Houston the surrounding region causing widespread flooding. Flood risk modeling requires understanding hydrologic regions, which may contain or gauges. Further, policy changes to address risks damages natural hazards such as severe...

10.6339/24-jds1133 article EN cc-by Journal of Data Science 2024-01-01

Abstract With the widespread use of last-resort antibiotics, carbapenems, clinical reports infections associated with carbapenem-resistant Enterobacterales (CRE) have increased. Clinical surveillance for CRE involves susceptibility testing and/or whole genome sequencing resistant isolates, which is laborious, resource intensive, and requires expertise. Wastewater can potentially complement CRE, population-level antibiotic resistance (AR) more broadly. In this study, we quantitatively...

10.1101/2024.06.20.597808 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-06-20

This study compares culture-based and ddPCR methods for quantifying carbapenem resistance in wastewater, revealing weak correlations. Nanopore sequencing clarifies mechanisms, emphasizing method selection integrated AR surveillance.

10.1039/d4ew00525b article EN Environmental Science Water Research & Technology 2024-08-16

Case-crossover design is a popular construction for analyzing the impact of transient effect, such as ambient pollution levels, on an acute outcome, asthma exacerbation. avoids need to model individual, time-varying risk factors cases by using their own 'controls', chosen be time periods which individual can assumed constant and not modelled. Many studies have examined complex effects control period structure performance, but these discussions were simplified when case-crossover was shown...

10.1002/sta4.357 article EN cc-by-nc-nd Stat 2021-02-12

Wastewater monitoring is an efficient and effective way to surveil for various pathogens in communities. This especially beneficial areas of high transmission, such as preK-12 schools, where infections may otherwise go unreported. In this work, we apply wastewater disease surveillance using school community from across Houston, Texas monitor three major enteric viruses: astrovirus, sapovirus genogroup GI, group A rotavirus. We present the results a 10-week study that included analysis 164...

10.2139/ssrn.4705726 preprint EN 2024-01-01

Monitoring wastewater concentrations of SARS-CoV-2 yields a low-cost, noninvasive method for tracking disease prevalence and provides early warning signs upcoming outbreaks in the serviced communities. There is tremendous clinical public health interest understanding exact dynamics between viral loads infection rates population. As both data sources may contain substantial noise missingness, addition to spatial temporal dependencies, properly modeling this relationship must address these...

10.48550/arxiv.2412.02970 preprint EN arXiv (Cornell University) 2024-12-03

Abstract Wastewater surveillance has proven a key public health tool to understand wide range of community diseases and be especially critical departments throughout the SARS CoV-2 pandemic. The size population served by wastewater treatment plant (WWTP) may limit targeted insight about disease dynamics. To investigate this concern, samples were obtained at lift stations upstream WWTPs within sewer network. First, an online, semi-automatic time series model is fitted weekly measurements WWTP...

10.1101/2023.10.26.23297635 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2023-10-26

One measurement modality for rainfall is a fixed location rain gauge. However, extreme rainfall, flooding, and other climate extremes often occur at larger spatial scales affect more than one in community. For example, 2017 Hurricane Harvey impacted all of Houston the surrounding region causing widespread flooding. Flood risk modeling requires understanding hydrologic regions, which may contain or gauges. Further, policy changes to address risks damages natural hazards such as severe...

10.48550/arxiv.2311.17271 preprint EN cc-by-sa arXiv (Cornell University) 2023-01-01
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