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1.
Proc IEEE Sens ; 20222022.
Article in English | MEDLINE | ID: covidwho-2171071

ABSTRACT

Recent advances in remote-photoplethysmography (rPPG) have enabled the measurement of heart rate (HR), oxygen saturation (SpO2), and blood pressure (BP) in a fully contactless manner. These techniques are increasingly applied clinically given a desire to minimize exposure to individuals with infectious symptoms. However, accurate rPPG estimation often leads to heavy loading in computation that either limits its real-time capacity or results in a costly setup. Additionally, acquiring rPPG while maintaining protective distance would require high resolution cameras to ensure adequate pixels coverage for the region of interest, increasing computational burden. Here, we propose a cost-effective platform capable of the real-time, continuous, multi-subject monitoring while maintaining social distancing. The platform is composed of a centralized computing unit and multiple low-cost wireless cameras. We demonstrate that the central computing unit is able to simultaneously handle continuous rPPG monitoring of five subjects with social distancing without compromising the frame rate and rPPG accuracy.

2.
Viruses ; 15(1)2023 Jan 13.
Article in English | MEDLINE | ID: covidwho-2200878

ABSTRACT

Alaska is a unique US state because of its large size, geographically disparate population density, and physical distance from the contiguous United States. Here, we describe a pattern of SARS-CoV-2 variant emergence across Alaska reflective of these differences. Using genomic data, we found that in Alaska, the Omicron sublineage BA.2.3 overtook BA.1.1 by the week of 27 February 2022, reaching 48.5% of sequenced cases. On the contrary, in the contiguous United States, BA.1.1 dominated cases for longer, eventually being displaced by BA.2 sublineages other than BA.2.3. BA.2.3 only reached a prevalence of 10.9% in the contiguous United States. Using phylogenetics, we found evidence of potential origins of the two major clades of BA.2.3 in Alaska and with logistic regression estimated how it emerged and spread throughout the state. The combined evidence is suggestive of founder events in Alaska and is reflective of how Alaska's unique dynamics influence the emergence of SARS-CoV-2 variants.


Subject(s)
COVID-19 , Dermatitis , Humans , Alaska/epidemiology , SARS-CoV-2/genetics , COVID-19/epidemiology
3.
BMJ Open ; 12(12): e062707, 2022 12 09.
Article in English | MEDLINE | ID: covidwho-2161854

ABSTRACT

OBJECTIVES: Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital. DESIGN: Single-site, observational cohort study. SETTING: An urban, academic hospital in Boston, Massachusetts, USA. PARTICIPANTS: We enrolled adult hospital staff entering the hospital at a key ingress point. INTERVENTIONS: Consenting participants entering the hospital were invited to experience the computer vision mask detection system. Key aspects of the detection algorithm and feedback were described to participants, who then completed a quantitative assessment to understand their perceptions and acceptance of interacting with the system to detect their mask adherence. OUTCOME MEASURES: Primary outcomes were willingness to interact with the mask system, and the degree of comfort participants felt in interacting with a public facing computer vision mask algorithm. RESULTS: One hundred and eleven participants with mean age 40 (SD15.5) were enrolled in the study. Males (47.7%) and females (52.3%) were equally represented, and the majority identified as white (N=54, 49%). Most participants (N=97, 87.3%) reported acceptance of the system and most participants (N=84, 75.7%) were accepting of deployment of the system to reinforce mask adherence in public places. One third of participants (N=36) felt that a public facing computer vision system would be an intrusion into personal privacy.Public-facing computer vision software to detect and provide feedback around mask adherence may be acceptable in the hospital setting. Similar systems may be considered for deployment in locations where mask adherence is important.


Subject(s)
COVID-19 , SARS-CoV-2 , Adult , Male , Female , Humans , COVID-19/prevention & control , Masks , Personnel, Hospital , Computers , Observational Studies as Topic
4.
Sci Rep ; 12(1): 20662, 2022 Nov 30.
Article in English | MEDLINE | ID: covidwho-2133650

ABSTRACT

Alaska has the lowest population density in the United States (US) with a mix of urban centers and isolated rural communities. Alaska's distinct population dynamics compared to the contiguous US may have contributed to unique patterns of SARS-CoV-2 variants observed in early 2021. Here we examined 2323 SARS-CoV-2 genomes from Alaska and 278,635 from the contiguous US collected from December 2020 through June 2021 because of the notable emergence and spread of lineage B.1.1.519 in Alaska. We found that B.1.1.519 was consistently detected from late January through June of 2021 in Alaska with a peak prevalence in April of 77.9% unlike the rest of the US at 4.6%. The earlier emergence of B.1.1.519 coincided with a later peak of Alpha (B.1.1.7) compared to the contiguous US. We also observed differences in variant composition over time between the two most populated regions of Alaska and a modest increase in COVID-19 cases during the peak incidence of B.1.1.519. However, it is difficult to disentangle how social dynamics conflated changes in COVID-19 during this time. We suggest that the viral characteristics, such as amino acid substitutions in the spike protein, likely contributed to the unique spread of B.1.1.519 in Alaska.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , SARS-CoV-2/genetics , Alaska/epidemiology , COVID-19/epidemiology , Amino Acid Substitution
5.
Cyborg Bionic Syst ; 20222022.
Article in English | MEDLINE | ID: covidwho-1848132

ABSTRACT

The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing in-person contact with individuals who may have COVID-19, healthcare workers can prevent disease transmission and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that is commonly done in person by healthcare workers. To eliminate the need for in-person contact for vital sign measurement in the hospital setting, we developed Dr. Spot, a mobile quadruped robotic system. The system includes IR and RGB cameras for vital sign monitoring and a tablet computer for face-to-face medical interviewing. Dr. Spot is teleoperated by trained clinical staff to simultaneously measure the skin temperature, respiratory rate, and heart rate while maintaining social distancing from patients and without removing their mask. To enable accurate, contactless measurements on a mobile system without a static black body as reference, we propose novel methods for skin temperature compensation and respiratory rate measurement at various distances between the subject and the cameras, up to 5 m. Without compensation, the skin temperature MAE is 1.3°C. Using the proposed compensation method, the skin temperature MAE is reduced to 0.3°C. The respiratory rate method can provide continuous monitoring with a MAE of 1.6 BPM in 30 s or rapid screening with a MAE of 2.1 BPM in 10 s. For the heart rate estimation, our system is able to achieve a MAE less than 8 BPM in 10 s measured in arbitrary indoor light conditions at any distance below 2 m.

6.
J Med Educ Curric Dev ; 9: 23821205221096361, 2022.
Article in English | MEDLINE | ID: covidwho-1817155

ABSTRACT

BACKGROUND: Telemedicine use in the US has continued to grow over the past few years with the development of new technology and in response to the COVID-19 pandemic. This has led to a growing need for formal training in telemedicine for clinicians in order to improve communication skills and provide better patient outcomes. METHODS: A self-directed, five-unit online curriculum focused on telemedicine essentials was developed through discussions among Pediatric clinical educators and adapted from literature in telemedicine education. Improvement of communication skills was determined through evaluations of interns randomly assigned to either the telemedicine curriculum or the control group, which was then compared to their baseline encounters. RESULTS: Interns who completed the telemedicine curriculum showed significant improvement in communication scores compared to those who did not complete the curriculum. CONCLUSION: Results from the study show the effectiveness of a formal telemedicine curriculum in improving critical communication skills for application in telemedicine.

7.
Sci Rep ; 12(1): 4631, 2022 03 17.
Article in English | MEDLINE | ID: covidwho-1747175

ABSTRACT

Using next generation sequencing technology, we identified a novel SARS-CoV-2 variant with a truncated ORF8 protein mutation near the end of the viral genome from nucleotides 27,878 to 27,958. This point mutation from C to T at nucleotide 27,956 changed the amino acid codon CAA (glutamine) to a stop codon, TAA, created a novel stop codon in ORF8 gene, resulting in a much smaller ORF8 protein (26 aa) than the wild type ORF8 protein (121 aa). This variant belongs to Pango lineage B.1.1291, which also contains the D614G mutation in the Spike (S) gene. The B.1.1291 lineage is predominantly circulated in the United States of America (97.18%), although it was also found in other counties (Russia, Canada, Latvia, Chile, India, Japan, Colombia, Germany, Greece, Mexico, and UK). A total of 340 closely related variants to this novel variant were identified in GISAID database with collection dates ranged from 3/6/2020 to 10/21/2020. In addition, a search within NCBI Genbank database found that 108,405 of 873,230 (12.4%) SAR-CoV-2 complete genomes contain this truncated ORF8 protein mutation, indicating this mutation may arise spontaneously in other lineages as well. The wide distribution of this mutation indicates that this truncated ORF8 protein mutation may provide the virus a growth advantage and adaptive evolution.


Subject(s)
COVID-19 , Chiroptera , SARS-CoV-2 , Viral Proteins , Animals , COVID-19/epidemiology , COVID-19/genetics , High-Throughput Nucleotide Sequencing , Humans , SARS-CoV-2/genetics , Viral Proteins/genetics , Viral Proteins/ultrastructure
8.
J Dev Behav Pediatr ; 43(5): 297-302, 2022.
Article in English | MEDLINE | ID: covidwho-1713760

ABSTRACT

OBJECTIVE: The goal of this study was to understand the effect of transition to telehealth care on follow-up visit attendance in a developmental-behavioral pediatric (DBP) practice in 2020 versus in-person care in 2019. METHODS: This was a retrospective observational cohort study of follow-up visits occurring in a large DBP practice during a 6-week period in March/April of 2019 and 2020. The primary outcome was follow-up visit adherence, defined as completion of scheduled follow-up visit. The primary exposure was telehealth visit in 2020 versus in-person visit in 2019. Covariates included patient demographics and clinical characteristics. Data were analyzed using descriptive statistics and logistic regression. RESULTS: The cohort included 2142 visits for 1868 unique patients. The patient mean age was 9.2 ± 4.8 years, with 73.4% male, 56.5% non-Hispanic, 51.4% White, and 68.3% commercial insurance. There were 470 telehealth visits from March to April 2020 and 1672 in-person visits from March to April 2019. Compared with in-person visits, telehealth visits were more likely to be completed (75.3% vs 64.4%, p < 0.001). After adjusting for age, sex, race, ethnicity, insurance, and week of visit (weeks 1-3 vs 4-6), odds of having a complete follow-up visit were higher for telehealth visits than for in-person visits (odds ratio = 1.57; 95% confidence interval [1.23-2.00], p < 0.001). CONCLUSION: Follow-up visit attendance was higher for telehealth care in 2020 than in-person care in 2019. This association persisted after adjusting for insurance, age, race, and ethnicity, suggesting that telehealth is associated with increased follow-up visit attendance in DBP care. Further studies are needed to understand the impact of telehealth on DBP clinical outcomes in chronic disease management.


Subject(s)
COVID-19 , Pediatrics , Telemedicine , Adolescent , COVID-19/epidemiology , Child , Child, Preschool , Cohort Studies , Female , Follow-Up Studies , Humans , Male , Pandemics
9.
Res Sq ; 2021 Apr 21.
Article in English | MEDLINE | ID: covidwho-1237032

ABSTRACT

Using next generation sequencing technology, we identified a truncated protein mutation located in the ORF8 gene which is near the end of the genome from nucleotides 27,878 to 27,958. The mutation in this novel strain created a stop codon and translates to the novel truncated ORF8 protein, creating a much smaller protein than most other strains of SARS-CoV-2. The novel truncated mutation is most closely related to nine SARS-CoV-2 strains found in Washington state. Our results show a novel strain of SARS-CoV-2 with a truncated ORF8 gene. This shortens the translated ORF8 protein. The effects of ORF8 protein and its functions are still uncertain but a truncated ORF8 could affect antibody response, severity of infection and inflammatory response.

10.
Lancet Digit Health ; 3(3): e148-e157, 2021 03.
Article in English | MEDLINE | ID: covidwho-1065707

ABSTRACT

BACKGROUND: Face masks have become commonplace across the USA because of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic. Although evidence suggests that masks help to curb the spread of the disease, there is little empirical research at the population level. We investigate the association between self-reported mask-wearing, physical distancing, and SARS-CoV-2 transmission in the USA, along with the effect of statewide mandates on mask uptake. METHODS: Serial cross-sectional surveys were administered via a web platform to randomly surveyed US individuals aged 13 years and older, to query self-reports of face mask-wearing. Survey responses were combined with instantaneous reproductive number (Rt) estimates from two publicly available sources, the outcome of interest. Measures of physical distancing, community demographics, and other potential sources of confounding (from publicly available sources) were also assessed. We fitted multivariate logistic regression models to estimate the association between mask-wearing and community transmission control (Rt<1). Additionally, mask-wearing in 12 states was evaluated 2 weeks before and after statewide mandates. FINDINGS: 378 207 individuals responded to the survey between June 3 and July 27, 2020, of which 4186 were excluded for missing data. We observed an increasing trend in reported mask usage across the USA, although uptake varied by geography. A logistic model controlling for physical distancing, population demographics, and other variables found that a 10% increase in self-reported mask-wearing was associated with an increased odds of transmission control (odds ratio 3·53, 95% CI 2·03-6·43). We found that communities with high reported mask-wearing and physical distancing had the highest predicted probability of transmission control. Segmented regression analysis of reported mask-wearing showed no statistically significant change in the slope after mandates were introduced; however, the upward trend in reported mask-wearing was preserved. INTERPRETATION: The widespread reported use of face masks combined with physical distancing increases the odds of SARS-CoV-2 transmission control. Self-reported mask-wearing increased separately from government mask mandates, suggesting that supplemental public health interventions are needed to maximise adoption and help to curb the ongoing epidemic. FUNDING: Flu Lab, Google.org (via the Tides Foundation), National Institutes for Health, National Science Foundation, Morris-Singer Foundation, MOOD, Branco Weiss Fellowship, Ending Pandemics, Centers for Disease Control and Prevention (USA).


Subject(s)
COVID-19/prevention & control , COVID-19/transmission , Masks , Pandemics/prevention & control , Adolescent , Adult , Aged , Communicable Disease Control/methods , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Physical Distancing , Public Health , SARS-CoV-2 , Surveys and Questionnaires , United States , Young Adult
11.
J Med Internet Res ; 22(11): e21372, 2020 11 13.
Article in English | MEDLINE | ID: covidwho-976101

ABSTRACT

BACKGROUND: So far, there have been no published population studies on the relationship between a COVID-19 infection and public risk perception, information source, knowledge, attitude, and behaviors during the COVID-19 outbreak in China. OBJECTIVE: This study aims to understand the relationships between COVID-19 infection; four personal nonpharmaceutical interventions (NPIs; handwashing, proper coughing habits, social distancing, and mask wearing); and public risk perception, knowledge, attitude, and other social demographic variables. METHODS: An online survey of 8158 Chinese adults between February 22 and March 5, 2020, was conducted. Bivariate associations between categorical variables were examined using Fisher exact test. We also explored the determinants of four NPIs as well as their association with COVID-19 infection using logistic regression. RESULTS: Of 8158 adults included, 57 (0.73%) were infected with COVID-19. The overwhelming majority of respondents showed a positive attitude (n=8094, 99.2%), positive risk perception (n=8146, 99.9%), and high knowledge levels that were among the strongest predictors of the four adopted NPIs (handwashing: n=7895, 96.8%; proper coughing: 5997/6444, 93.1%; social distancing: n=7104/8158, 87.1%; and mask wearing: 5011/5120, 97.9%). There was an increased risk of COVID-19 infection for those who did not wash their hands (2.28% vs 0.65%; risk ratio [RR] 3.53, 95% CI 1.53-8.15; P=.009), did not practice proper coughing (1.79% vs 0.73%; RR 2.44, 95% CI 1.15-5.15; P=.03), did not practice social distancing (1.52% vs 0.58%; RR 2.63, 95% CI 1.48-4.67; P=.002), and did not wear a mask (7.41% vs 0.6%; RR 12.38, 95% CI 5.81-26.36; P<.001). For those who did practice all other three NPIs, wearing a mask was associated with a significantly reduced risk of infection compared to those who did not wear a mask (0.6% vs 16.7%; P=.04). Similarly, for those who did not practice all or part of the other three NPIs, wearing a mask was also associated with a significantly reduced risk of infection. In a penalized logistic regression model including all four NPIs, wearing a mask was the only significant predictor of COVID-19 infection among the four NPIs (odds ratio 7.20, 95% CI 2.24-23.11; P<.001). CONCLUSIONS: We found high levels of risk perception, positive attitude, desirable knowledge, as well as a high level of adopting the four NPIs. The relevant knowledge, risk perception, and attitude were strong predictors of adapting the four NPIs. Mask wearing, among the four personal NPIs, was the most effective protective measure against COVID-19 infection, with added preventive effect among those who practiced all or part of the other three NPIs.


Subject(s)
COVID-19/epidemiology , COVID-19/therapy , SARS-CoV-2/pathogenicity , Adolescent , Adult , Attitude , China/epidemiology , Cross-Sectional Studies , Disease Outbreaks , Female , Humans , Internet , Knowledge , Male , Middle Aged , Surveys and Questionnaires , Young Adult
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