A5046926200- COVID-19 epidemiological studies
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
- COVID-19 Digital Contact Tracing
- Data-Driven Disease Surveillance
- SARS-CoV-2 and COVID-19 Research
- Biomedical and Engineering Education
- Insect and Pesticide Research
- COVID-19 Impact on Reproduction
- Migration, Health and Trauma
- Simulation-Based Education in Healthcare
- Disaster Management and Resilience
- Global Maternal and Child Health
- Genetic diversity and population structure
- Vector-borne infectious diseases
Broad Institute
2020-2023
Center for Systems Biology
2020-2022
Harvard University
2019-2022
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...
Babesia microti is tick-borne disease that an emerging threat to public health due increasing prevalence and expanding geographic range. Detection constant surveillance of babesiosis imperative for predicting pathogen expansion. Leveraging our whole genome sequence (WGS) analyses B. microti, we developed a single nucleotide polymorphism (SNP)-based high resolution melt (HRM) tool. We HRM assay using available data identified 775 SNPs. From these candidate SNPs, 32-SNP barcode robust...
Abstract Amid COVID-19, many institutions deployed vast resources to test their members regularly for safe reopening. This self-focused approach, however, not only overlooks surrounding communities but also remains blind community transmission that could breach the institution. To relative merits of a more altruistic strategy, we built an epidemiological model assesses differential impact on case counts when instead allocate proportion tests members’ close contacts in larger community. We...
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 Amid COVID-19, many institutions deployed vast resources to test their members regularly for safe reopening. This self-focused approach, however, not only overlooks surrounding communities but also remains blind community transmission that could breach the institution. To relative merits of a more altruistic strategy, we built an epidemiological model assesses differential impact on case counts when instead allocate proportion tests members’ close contacts in larger community. We...
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...