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1.
J Hosp Infect ; 115: 131-132, 2021 09.
Article in English | MEDLINE | ID: covidwho-1744208

Subject(s)
Travel , Aerosols , Humans
2.
Proceedings of the 2022 International Conference on Management of Data (Sigmod '22) ; : 2353-2356, 2022.
Article in English | Web of Science | ID: covidwho-2042880

ABSTRACT

Data visualization is a powerful tool for understating information through visual cues. However, allowing novices to create visualization artifacts for what they want to see is not easy, just as not everyone can write SQL queries. Arguably, the most natural way to specify what to visualize is through natural language or speech, similar to our daily search on Google or Apple Siri, leaving to the system the task of reasoning about what to visualize and how. In this demo, we present Sevi an end-to-end data visualization system that acts as a virtual assistant to allow novices to create visualizations through either natural language or speech. Sevi is powered by two main components: Speech2Text which is based on Google Cloud Speech-to-Text Rest API, and Text2VIS, which uses an end-to-end neural machine translation model called ncNet trained using a cross-domain benchmark called nvBench. Both ncNet and nvBench have been developed by us. We will walk the audience through two general domain datasets, one related to COVID-19 and the other on NBA player statistics, to highlight how Sevi enables novices to easily create data visualizations. Because nvBench contains Text2VIS training samples from 105 domains (e.g., sport, college, hospital, etc.), the audience can play with speech or text input with any of these domains.

3.
Journal of General Internal Medicine ; 37:S628, 2022.
Article in English | EMBASE | ID: covidwho-1995860

ABSTRACT

SETTING AND PARTICIPANTS: The H&P 360 is a modified medical history prompting students to routinely and systematically gather information from 7 domains - Biomedical Conditions, Patients' Goals and Values, Mental Health, Behavioral Health, Social Support, Living Environment and Resources, and Function. Initial studies in inpatient and standardized patient settings showed the H&P 360 enhances data gathering, patient rapport, and team care planning. Our goal was to examine the feasibility and usefulness of the H&P 360 in routine teaching contexts at three institutions. Setting and Participants: M3 and M4 medical students at the University of Chicago (UC;n=24), the University of Michigan (UM;n=38), and Florida International University (FIU;n=118) in 2020-21. Clinical settings included subinternships (UC), longitudinal clinics (UM), and community-based home visits (FIU). DESCRIPTION: All sites introduced students to the H&P 360 via a nonstandardized 1-2 hour introductory seminar. 3-6 months after implementation a previously developed student survey with 13 Likert-type and 3 text-response items querying implementation of the H&P 360 was administered. A parallel survey was developed for teaching faculty. EVALUATION: A total of 180 students participated. Response rates at UC, UM, and FIU were 46%, 34%, and 16%, respectively. Percent of students (UC, UM, FIU;Overall), responding 'Agree' or 'Strongly agree': 1. The H&P 360: - Was easy to use (67, 85, 89;81) - Helped me better understand patient goals (89, 100, 77;88) - Added valuable information that I woul otherwise not know (78, 85, 63;79) - Facilitated care planning that included other health professionals(56, 85, 71, 70) 2. Presentations using the H&P 360 were well received by my clinical team. (33, 46, 82;60) 3. Elements of the H&P 360 are potentially useful in all patient interactions. (67, 100, 95;88) Overall faculty response rates were low;most described unfamiliarity with the H&P 360 with limited incorporation into teaching. DISCUSSION / REFLECTION / LESSONS LEARNED: Discussion: Students in clinical teaching settings found the H&P 360 feasible, easy to use, and helpful for understanding patient priorities. Most reported it facilitated interprofessional planning. Potentially significant variation occurred across sites. Faculty incorporation into clinical teaching was limited. Overall survey response rates were low, partially due to COVID. Conclusions: The H&P 360 promotes information gathering critical for chronic disease management: clinical diagnosis, social determinants of health, and patient priorities. Such information should prove useful for fostering health equity. Future work should measure effects on patient care and outcomes. Our team is developing methods to better engage faculty with integrating the H&P 360 into clinical skills teaching throughout medical school and has a toolkit to facilitate implementation and additional studies.

4.
European Respiratory Journal ; 58:2, 2021.
Article in English | Web of Science | ID: covidwho-1706635
5.
Interface Focus ; 12(2), 2022.
Article in English | Scopus | ID: covidwho-1700516

ABSTRACT

The COVID-19 pandemic, caused by the virus SARS-CoV-2, has touched most parts of the world and devastated the lives of many. The high transmissibility coupled with the initial poor outcome for the elderly led to crushingly high fatalities. The scientific response to the pandemic has been formidable, aided by advancements in virology, computing, data analysis, instrumentation, diagnostics, engineering and infection control. This has led to improvements in understanding and has helped to challenge some established orthodoxies. Sufficient time has elapsed since the start of the COVID-19 pandemic that a clearer view has emerged about transmission and infection risks, public health responses and related societal and economic impacts. This timely volume has provided an opportunity for the science community to report on these new developments. © 2022 The Authors.

6.
Environ Sci Technol ; 56(2): 1125-1137, 2022 01 18.
Article in English | MEDLINE | ID: covidwho-1607160

ABSTRACT

Some infectious diseases, including COVID-19, can undergo airborne transmission. This may happen at close proximity, but as time indoors increases, infections can occur in shared room air despite distancing. We propose two indicators of infection risk for this situation, that is, relative risk parameter (Hr) and risk parameter (H). They combine the key factors that control airborne disease transmission indoors: virus-containing aerosol generation rate, breathing flow rate, masking and its quality, ventilation and aerosol-removal rates, number of occupants, and duration of exposure. COVID-19 outbreaks show a clear trend that is consistent with airborne infection and enable recommendations to minimize transmission risk. Transmission in typical prepandemic indoor spaces is highly sensitive to mitigation efforts. Previous outbreaks of measles, influenza, and tuberculosis were also assessed. Measles outbreaks occur at much lower risk parameter values than COVID-19, while tuberculosis outbreaks are observed at higher risk parameter values. Because both diseases are accepted as airborne, the fact that COVID-19 is less contagious than measles does not rule out airborne transmission. It is important that future outbreak reports include information on masking, ventilation and aerosol-removal rates, number of occupants, and duration of exposure, to investigate airborne transmission.


Subject(s)
Air Pollution, Indoor , COVID-19 , Aerosols , Disease Outbreaks , Humans , SARS-CoV-2 , Ventilation
9.
J Hosp Infect ; 110: 89-96, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1030909

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic has caused untold disruption throughout the world. Understanding the mechanisms for transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is key to preventing further spread, but there is confusion over the meaning of 'airborne' whenever transmission is discussed. Scientific ambivalence originates from evidence published many years ago which has generated mythological beliefs that obscure current thinking. This article collates and explores some of the most commonly held dogmas on airborne transmission in order to stimulate revision of the science in the light of current evidence. Six 'myths' are presented, explained and ultimately refuted on the basis of recently published papers and expert opinion from previous work related to similar viruses. There is little doubt that SARS-CoV-2 is transmitted via a range of airborne particle sizes subject to all the usual ventilation parameters and human behaviour. Experts from specialties encompassing aerosol studies, ventilation, engineering, physics, virology and clinical medicine have joined together to produce this review to consolidate the evidence for airborne transmission mechanisms, and offer justification for modern strategies for prevention and control of COVID-19 in health care and the community.


Subject(s)
Aerosols , Air Microbiology , COVID-19/prevention & control , COVID-19/transmission , Infection Control/methods , Pandemics/prevention & control , Ventilation/methods , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , Female , Humans , Male , Middle Aged , SARS-CoV-2
11.
J Hosp Infect ; 105(4): 682-685, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-350041

ABSTRACT

Super-spreading events in an outbreak can change the nature of an epidemic. Therefore, it is useful for public health teams to determine whether an ongoing outbreak has any contribution from such events, which may be amenable to interventions. We estimated the basic reproductive number (R0) and the dispersion factor (k) from empirical data on clusters of epidemiologically linked coronavirus disease 2019 (COVID-19) cases in Hong Kong, Japan and Singapore. This allowed us to infer the presence or absence of super-spreading events during the early phase of these outbreaks. The relatively large values of k implied that large cluster sizes, compatible with super-spreading, were unlikely.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Disease Outbreaks/prevention & control , Disease Transmission, Infectious/statistics & numerical data , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , COVID-19 , Hong Kong/epidemiology , Humans , Japan/epidemiology , Pandemics , SARS-CoV-2 , Singapore/epidemiology
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