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  1. Article: Assessing the Real-Time Mental Health Challenges of COVID-19 in Individuals With Serious Mental Illnesses: Protocol for a Quantitative Study.

    Moore, Raeanne Cristine / Depp, Colin Andrew / Harvey, Philip D / Pinkham, Amy E

    JMIR research protocols

    2020  Volume 9, Issue 5, Page(s) e19203

    Abstract: Background: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental ... ...

    Abstract Background: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked.
    Objective: This paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group.
    Methods: Participants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping.
    Results: The inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals.
    Conclusions: Our findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach.
    International registered report identifier (irrid): DERR1-10.2196/19203.
    Keywords covid19
    Language English
    Publishing date 2020-05-22
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2719222-2
    ISSN 1929-0748
    ISSN 1929-0748
    DOI 10.2196/19203
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Implementing a Protocol to Assess Real-Time Mental Health Challenges of COVID-19 in Individuals with Serious Mental Illnesses

    Moore, Raeanne Cristine / Depp, Colin Andrew / Harvey, Philip D. / Pinkham, Amy E.

    JMIR Res Protoc

    Abstract: BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public However, persons at greatest risk for poor mental health outcomes, such as persons with serious mental ... ...

    Abstract BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public However, persons at greatest risk for poor mental health outcomes, such as persons with serious mental illness, have been largely overlooked OBJECTIVE: To examine the mental health impact of COVID-19 and social distancing behaviors among persons with serious mental illness and the behaviors taken to prevent COVID-19 infection METHODS: Participants will include individuals with serious mental illness (e g , schizophrenia, bipolar disorder) and non-psychiatric control participants who are currently or previously participated in several ongoing parent observational studies Data will be collected from April, 2020 through August, 2020 Participants will complete phone interviews at two time points to assess their current emotional functioning and measures they have taken to prevent COVID-19 infection Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, sampled by ecological momentary assessment over an extended period, and demographic, cognitive and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping RESULTS: Study results will be published in peer-reviewed scientific journals CONCLUSIONS: Findings have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness, and will provide the opportunity to identify targets to reduce negative outcomes in the future We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach CLINICALTRIAL:
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #178984
    Database COVID19

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  3. Article: Assessing the Real-Time Mental Health Challenges of COVID-19 in Individuals With Serious Mental Illnesses: Protocol for a Quantitative Study

    Moore, Raeanne Cristine / Depp, Colin Andrew / Harvey, Philip D / Pinkham, Amy E

    JMIR Res Protoc

    Abstract: BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental ... ...

    Abstract BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked. OBJECTIVE: This paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group. METHODS: Participants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping. RESULTS: The inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals. CONCLUSIONS: Our findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce negative outcomes in the future. We also hope our efforts will provide a roadmap and resources for other researchers who would like to implement a similar approach. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19203.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32365043
    Database COVID19

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  4. Article ; Online: Assessing the Real-Time Mental Health Challenges of COVID-19 in Individuals With Serious Mental Illnesses

    Moore, Raeanne Cristine / Depp, Colin Andrew / Harvey, Philip D / Pinkham, Amy E

    JMIR Research Protocols, Vol 9, Iss 5, p e

    Protocol for a Quantitative Study

    2020  Volume 19203

    Abstract: BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, ...

    Abstract BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has caused significant stress and mental health problems among the general public. However, persons at greatest risk for poor mental health outcomes, such as people with serious mental illness, have been largely overlooked. ObjectiveThis paper presents the protocol for a study that aims to examine the mental health impact of COVID-19 and social distancing behaviors in people with serious mental illness and the behaviors undertaken to prevent COVID-19 infection in this group. MethodsParticipants will include individuals with serious mental illness (eg, schizophrenia, bipolar disorder) and nonpsychiatric control participants who are currently participating in or have previously participated in several ongoing parent observational studies. Data will be collected from April 2020 through August 2020. Participants will complete phone interviews at 2 time points to assess their current emotional functioning and discuss the measures they have taken to prevent COVID-19 infection. Baseline (pre-COVID-19) mental health, sampled by ecological momentary assessment over an extended period, will be compared with current mental health, also sampled by ecological momentary assessment over an extended period. Demographic, cognitive, and psychosocial factors at baseline will be used to examine risk and resilience to current mental health and coping. ResultsThe inclusion of participants for the first round of telephone assessments started on April 3, 2020 and will be completed by May 31, 2020. As of April 30, 2020, 101 individuals had completed these first-round assessments. The second round of telephone assessments will likely occur between June 1, 2020, and August 31, 2020. Study results will be published in peer-reviewed scientific journals. ConclusionsOur findings will have broad implications for understanding the psychological consequences of COVID-19 among vulnerable persons with serious mental illness and will provide the opportunity to identify targets to reduce ...
    Keywords Medicine ; R ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 150
    Language English
    Publishing date 2020-05-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Unsupervised Sequence Alignment between Video and Human Center of Pressure.

    Jin, Shiwei / Vo, Minh / Du, Chen / Garudadri, Harinath / Py, Allison / Moore, David J / Erlandson, Kristine M / Moore, Raeanne C / Nguyen, Truong

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2021  Volume 2021, Page(s) 1980–1984

    Abstract: Center of pressure (COP) estimation with images/videos as input achieves accurate precision with the development of the human skeleton joint extraction tasks. As a supervised learning task, correct labels acquired from COP with regard to the input images/ ...

    Abstract Center of pressure (COP) estimation with images/videos as input achieves accurate precision with the development of the human skeleton joint extraction tasks. As a supervised learning task, correct labels acquired from COP with regard to the input images/videos are significant. Thus, synchronization between these two different types of sequences is necessary. If these two different modalities are misaligned, the downstream tasks' precision is affected significantly due to the inaccurate labels from the COP sequence. In this paper, we used a synchronized dataset and unsupervised deep learning to train an Alignment Network to align video and COP sequences on another unsynchronized dataset where each sequence starts at a different time and has different frame rates. On the synchronized dataset, the Alignment Network removes 84.4% of temporal offset. On the unsynchronized dataset, we proposed a simple yet effective Differential Network to simulate one practical downstream task. We used the differential Network to estimate the sway level of COP. Results show that this method achieved significant improvement (over 20% improvement on three sway level cases) over the misaligned dataset.
    MeSH term(s) Humans ; Sequence Alignment
    Language English
    Publishing date 2021-12-07
    Publishing country United States
    Document type Journal Article
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC46164.2021.9630896
    Database MEDical Literature Analysis and Retrieval System OnLINE

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