A5042999436- Data-Driven Disease Surveillance
- COVID-19 Digital Contact Tracing
- Human Mobility and Location-Based Analysis
- Semantic Web and Ontologies
- Disaster Management and Resilience
- Geographic Information Systems Studies
- Lymphadenopathy Diagnosis and Analysis
- Advanced Graph Neural Networks
- Data Quality and Management
- Flood Risk Assessment and Management
- Viral Infections and Outbreaks Research
- Labor Movements and Unions
- Fire effects on ecosystems
- Disaster Response and Management
- Digital Economy and Work Transformation
- Lymphoma Diagnosis and Treatment
- Employment and Welfare Studies
- Viral-associated cancers and disorders
- Privacy-Preserving Technologies in Data
- Viral gastroenteritis research and epidemiology
- Mobile Health and mHealth Applications
- Biomedical Text Mining and Ontologies
- Climate Change and Health Impacts
- COVID-19 epidemiological studies
- FinTech, Crowdfunding, Digital Finance
Direct Relief
2013-2025
Beth Israel Deaconess Medical Center
2023
Boston University
2023
Harvard University
2023
New York City Department of Health and Mental Hygiene
2021
Washington University in St. Louis
2016
As the coronavirus disease 2019 (COVID-19) epidemic worsens, understanding effectiveness of public messaging and large-scale social distancing interventions is critical. The research health response communities can should use population mobility data collected by private companies, with appropriate legal, organizational, computational safeguards in place. When aggregated, these help refine providing near real-time information about changes patterns human movement.
A surge of interest has been noted in the use mobility data from mobile phones to monitor physical distancing and model spread severe acute respiratory syndrome coronavirus 2, virus that causes COVID-19. Despite several years research this area, standard frameworks for aggregating making different streams are scarce difficult generalise across providers. Here, we examine aggregation principles procedures phone describe a common syntax how aggregated used policy. We argue privacy protection...
Abstract Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just few years, KGs their supporting technologies have become core component modern search engines, intelligent personal assistants, business intelligence, so on. Interestingly, despite large‐scale availability, they yet to be as successful in realm environmental intelligence. In this paper, we will explain why spatial require special...
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, wildfires to hurricanes, floods, wars. Providing timely disaster response humanitarian aid these events is a critical topic for decision makers relief experts in order mitigate impacts save lives. When occurs, it important acquire first-hand, real-time information about the potentially affected area, its infrastructure, people develop situational awareness plan address health...
Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just few years, KGs their supporting technologies have become core component modern search engines, intelligent personal assistants, business intelligence, so on. Interestingly, despite large-scale availability, they yet to be as successful in realm environmental intelligence. In this paper, we will explain why spatial require special treatment, how...
We describe the first case of cat-to-human transmission influenza A(H7N2), an avian-lineage A virus, that occurred during outbreak among cats in New York City animal shelters. public health response and investigation.
Objective: Assess changes in the proximity of wildfires to inpatient healthcare facilities California during period 2001 2023. Methods: Retrospective spatial analysis. Distances between each facility and nearest wildfire perimeter were computed on an annual basis using data from Department Health Care Access Information CAL FIRE Fire Resource Assessment Program. Temporal analyzed via Kruskal-Wallis linear models. Results: The distance nearby is decreasing by average 628 feet per year, while...
Discovering how to improve survival and establishing clinical reference points for children diagnosed with endemic Burkitt lymphoma (eBL) in resource‐constrained settings has recaptured international attention. Using multivariate analyses, we evaluated 428 eBL Kenya age, gender, tumor stage, nutritional status, hemoglobin, lactate dehydrogenase (LDH), Epstein‐Barr virus (EBV) Plasmodium falciparum prior induction of chemotherapy (cyclophosphamide, vincristine, methotrexate doxorubicin)...
The Ebola virus disease (Ebola) outbreak in West Africa has claimed approximately 11,300 lives (1), and the magnitude course of epidemic prompted many nonaffected countries to prepare for cases imported from affected countries. In October 2014, CDC Department Homeland Security (DHS) implemented enhanced entry risk assessment management at five U.S. airports: John F. Kennedy (JFK) International Airport New York City (NYC), O'Hare Chicago, Newark Liberty Jersey, Hartsfield-Jackson Atlanta,...
Today's societies produce vast-and increasing-amounts of digital data "exhaust" from daily human activities such as the use mobile devices, wearables and home sensors; store purchases; online engagement on social media.Such have historically been used by corporations to sell products make life more convenient (even if in unevenly distributed ways), limited academic circles, solve public heath challenges.During COVID-19 pandemic, however, technology companies started making aggregated...
Disasters, such as cyclones, create conditions that increase the risk of infectious disease outbreaks. Epidemic forecasts can be valuable for targeting highest populations before an outbreak. The two main barriers to routine use real-time include scientific and operational challenges. First, accuracy may limited by availability data uncertainty associated with inherently stochastic processes determine when where outbreaks happen spread. Second, even if are available, appropriate channels...
Objectives. To assess wildfire risks to California inpatient health care facilities in 2022. Methods. Locations of and associated bed capacities were mapped relation Department Forestry Fire Protection fire threat zones (FTZs), which combine expected frequency with potential behavior. We computed the distances each facility nearest high, very extreme FTZs. Results. Half (107 290 beds) California's total capacity is within 0.87 miles a high FTZ 95% (203 665 3.7 FTZ. 3.3 15.5 an Conclusions....
During the COVID-19 pandemic, use of mobile phone data for monitoring human mobility patterns has become increasingly common, both to study impact travel restrictions on population movement and epidemiological modeling. Despite importance these data, location information guide public policy can raise issues privacy ethical use. Studies have shown that simple aggregation does not protect an individual, there are no universal standards guarantee anonymity. Newer methods, such as differential...
Abstract During the COVID-19 pandemic, use of mobile phone data for monitoring human mobility patterns has become increasingly common, both to study impact travel restrictions on population movement and epidemiological modelling. Despite importance these data, location information guide public policy can raise issues privacy ethical use. Studies have shown that simple aggregation does not protect an individual, there are no universal standards guarantee anonymity. Newer methods, such as...
Extreme weather events including wildfires and hurricanes are becoming increasingly hazardous due to climate change, often result in transient or permanent population displacements. Disaster-related disruptions infrastructure, workforce, wages, social networks can combine with displacements interruptions health care access prolonged impacts on morbidity mortality. The data needed make systems emergency management approaches more resilient these hazards, responsive the needs of affected...
Disasters are often unpredictable and complex events, requiring humanitarian organizations to understand respond many different issues simultaneously immediately. Often the biggest challenge improving effectiveness of response is quickly finding right expert, with expertise concerning a specific disaster type/disaster geographic region. To assist in achieving such goal, this paper demonstrates knowledge graph-based search engine developed on top an expert graph. It accommodates three modes...