A5002477071- COVID-19 epidemiological studies
- Digital Mental Health Interventions
- Child and Adolescent Psychosocial and Emotional Development
- Attention Deficit Hyperactivity Disorder
- Mental Health Research Topics
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Digital Contact Tracing
- Gestational Diabetes Research and Management
- COVID-19 and Mental Health
- Data-Driven Disease Surveillance
- Child Development and Digital Technology
- Birth, Development, and Health
- Pregnancy and preeclampsia studies
- Heart Rate Variability and Autonomic Control
- Autism Spectrum Disorder Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Effects of Vibration on Health
- Cerebral Palsy and Movement Disorders
- Behavioral Health and Interventions
- Balance, Gait, and Falls Prevention
- Early Childhood Education and Development
- Viral Infections and Outbreaks Research
- Animal Virus Infections Studies
- Disaster Management and Resilience
University of Vermont
2022-2024
Center for Children
2024
Broad Institute
2021-2022
Colorado Mesa University
2022
An outbreak of over 1,000 COVID-19 cases in Provincetown, Massachusetts (MA), July 2021-the first large mostly vaccinated individuals the US-prompted a comprehensive public health response, motivating changes to national masking recommendations and raising questions about infection transmission among individuals. To address these questions, we combined viral genomic epidemiological data from 467 individuals, including 40% outbreak-associated cases. The Delta variant accounted for 99% this...
Universities are vulnerable to infectious disease outbreaks, making them ideal environments study transmission dynamics and evaluate mitigation surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020-2021 academic year at Colorado Mesa University introduce a SARS-CoV-2 response framework.We analyzed epidemiological sociobehavioral (demographics, contact tracing, WiFi-based co-location data) alongside pathogen (wastewater diagnostic testing, viral...
Wearable sensors facilitate the evaluation of gait and balance impairment in free-living environment, often with observation periods spanning weeks, months, even years. Data supporting minimal duration sensor wear, which is necessary to capture representative variability measures, are needed patient burden, data quality, study cost. Prior investigations have examined required for resolving a variety movement variables (e.g., speed, sit-to-stand tests), but these studies use differing...
Objective: Panic attacks are an impairing mental health problem that affects 11% of adults every year.Current criteria describe them as occurring without warning, despite evidence suggesting individuals can often identify attack triggers.We aimed to prospectively explore qualitative and quantitative factors associated with the onset panic attacks.Results: Of 87 participants, 95% retrospectively identified a trigger for their attacks.Worse individually reported mood state-level mood,...
Childhood mental health problems are common, impairing, and can become chronic if left untreated. Children not reliable reporters of their emotional behavioral health, caregivers often unintentionally under- or over-report child symptoms, making assessment challenging. Objective physiological measures emerging. However, these methods typically require specialized equipment expertise in data sensor engineering to administer analyze. To address this challenge, we have developed the ChAMP...
Anxiety and depression, collectively known as internalizing disorders, begin early the preschool years impact nearly 1 out of every 5 children. Left undiagnosed untreated, childhood disorders predict later health problems including substance abuse, development comorbid psychopathology, increased risk for suicide, substantial functional impairment. Current diagnostic procedures require access to clinical experts, take considerable time complete, inherently assume that child symptoms are...
ABSTRACT Multiple summer events, including large indoor gatherings, in Provincetown, Massachusetts (MA), July 2021 contributed to an outbreak of over one thousand COVID-19 cases among residents and visitors. Most were fully vaccinated, many whom also symptomatic, prompting a comprehensive public health response, motivating changes national masking recommendations, raising questions about infection transmission vaccinated individuals. To characterize the viral population underlying it, we...
Childhood mental health problems are common, impairing, and can become chronic if left untreated. Children not reliable reporters of their emotional behavioral health, caregivers often unintentionally under- or over-report child symptoms, making assessment challenging. Objective physiological measures emerging. However, these methods typically require specialized equipment expertise in data sensor engineering to administer analyze. To address this challenge, we have developed the ChAMP...
Abstract Childhood mental health disorders such as anxiety, depression, and ADHD are commonly-occurring often go undetected into adolescence or adulthood. This can lead to detrimental impacts on long-term wellbeing quality of life. Current parent-report assessments for pre-school aged children biased, thus increase the need objective screening tools. Leveraging digital tools identify behavioral signature childhood may enable increased intervention at time with highest chance impact. We...
Preeclampsia (PE) is a leading cause of maternal and perinatal death globally can lead to unplanned preterm birth. Predicting risk for or early-onset PE, has been investigated primarily after conception, particularly in the early mid-gestational periods. However, there distinct clinical advantage identifying individuals at PE prior when wider array preventive interventions are available. In this work, we leverage machine learning techniques identify potential pre-pregnancy biomarkers sample...
Childhood mental health disorders such as anxiety, depression, and ADHD are commonly-occurring often go undetected into adolescence or adulthood. This can lead to detrimental impacts on long-term wellbeing quality of life. Current parent-report assessments for pre-school aged children biased, thus increase the need objective screening tools. Leveraging digital tools identify behavioral signature childhood may enable increased intervention at time with highest chance impact. We present data...
Preeclampsia (PE) is a leading cause of maternal and perinatal death globally can lead to unplanned preterm birth. Predicting risk for or early-onset PE, has been investigated primarily after conception, particularly in the early mid-gestational periods. However, there distinct clinical advantage identifying individuals at PE prior when wider array preventive interventions are available. In this work, we leverage machine learning techniques identify potential pre-pregnancy biomarkers sample...
Abstract Universities are particularly vulnerable to infectious disease outbreaks and also ideal environments study transmission dynamics evaluate mitigation surveillance measures when occur. Here, we introduce a SARS-CoV-2 response framework based on high-resolution, multimodal data collected during the 2020-2021 academic year at Colorado Mesa University. We analyzed epidemiological sociobehavioral (demographics, contact tracing, wifi-based co-location data) alongside pathogen (wastewater,...
An app-based educational outbreak simulator, Operation Outbreak (OO), seeks to engage and educate participants better respond outbreaks. Here, we examine the utility of OO for understanding epidemiological dynamics. The app enables experience-based learning about outbreaks, spreading a virtual pathogen via Bluetooth among participating smartphones. Deployed at many colleges in other settings, collects anonymized spatiotemporal data, including time duration contacts simulation. We report...
Abstract Panic attacks are an impairing mental health problem that impacts more than one out of every 10 adults in the United States (US). Clinical guidelines suggest panic occur without warning and their unexpected nature worsens impact on quality life. Individuals who experience would benefit from advance when attack is likely to so appropriate steps could be taken manage or prevent it. Our recent work suggests individual’s likelihood experiencing a can predicted by self-reported mood...
Panic attacks are an impairing mental health problem that impacts more than one out of every 10 adults in the United States (US). Clinical guidelines suggest panic occur without warning and their unexpected nature worsens impact on quality life. Individuals who experience would benefit from advance when attack is likely to so appropriate steps could be taken manage or prevent it. Our recent work suggests individual's likelihood experiencing a can predicted by self-reported mood...
ABSTRACT Operation Outbreak (OO), an app-based, educational outbreak simulator, seeks to engage, educate, and empower citizens prevent better respond infectious disease outbreaks. We examine the utility of OO for further understanding mitigating spread communicable diseases. The smartphone app uses Bluetooth a virtual pathogen among nearby participants’ devices simulate outbreak, providing experiential learning opportunity. Deployed at many college campuses other settings, collects these...
We demonstrate the effectiveness of an app-based, educational outbreak simulator, Operation Outbreak (OO), for understanding and mitigating spread communicable diseases. The OO smartphone app uses Bluetooth to a virtual pathogen among nearby participating devices simulate outbreak, providing experiential learning opportunity. Deployed at many college campuses other settings, collects these anonymized spatio-temporal data, including time duration contacts participants simulation. Here, we...