Patients with COVID-19 are at high risk of developing mental health problems; however, the prevalence and management of mental disorders and how psychiatrists coordinate the treatment are unclear.
We aimed to investigate the mental health problems of patients infected with COVID-19 and to identify the role of psychiatrists in the clinical treatment team during the pandemic. We also share the experience of psychiatric consultations of patients with COVID-19 in Shanghai, China.
We analysed data from the psychiatric medical records of 329 patients with COVID-19 in the Shanghai Public Health Clinical Center from 20 January to 8 March 2020. We collected information including sociodemographic characteristics, whether patients received psychiatric consultation, mental health symptoms, psychiatric diagnoses, psychiatric treatments and severity level of COVID-19.
Psychiatric consultations were received by 84 (25.5%) patients with COVID-19. The most common symptoms of mental health problems were sleep disordersons for patients with COVID-19. Our study indicated that a considerable proportion of patients with COVID-19, especially critically ill cases, experienced mental health problems. Given the remarkable effect of psychiatric treatments, we recommend that psychiatrists be timely and actively involved in the treatment of COVID-19.
This is the first study to report psychiatric consultations for patients with COVID-19. Our study indicated that a considerable proportion of patients with COVID-19, especially critically ill cases, experienced mental health problems. Given the remarkable effect of psychiatric treatments, we recommend that psychiatrists be timely and actively involved in the treatment of COVID-19.
During the outbreak of COVID-19, the national policy of home quarantine may affect the mental health of parents. However, few studies have investigated the mental health of parents during the COVID-19 pandemic.
To investigate the depression, anxiety and stress of the students' parents during the COVID-19 pandemic, and to explore the influence factors, especially the influence of social support and family-related factors.
The Generalised Anxiety Disorder-7, Patient Health Questionnaire-9, Perceived Stress Scale-10 and Social Support Rating Scale were applied to 1163 parents to measure the parents' depression, anxiety, stress and social support.
(1) The detection rates of depression and anxiety in parents were 6.1% and 4.0%. The depression, anxiety and perceived stress of parents in central China were significantly higher than those in non-central China. The anxiety of college students' parents was lower than that of parents of the primary, middle and high school students. The depression, anxiety and pe marital relationships, good social support, family harmony and parents without a history of mental illness may be protective factors for parents' mental health, while perceived stress and child in middle or high school are risk factors for parents' mental health.COVID-19 is causing a significant burden on medical and healthcare resources globally due to high numbers of hospitalisations and deaths recorded as the pandemic continues. This research aims to assess the effects of climate factors (i.e., daily average temperature and average relative humidity) on effective reproductive number of COVID-19 outbreak in Wuhan, China during the early stage of the outbreak. Our research showed that effective reproductive number of COVID-19 will increase by 7.6% (95% Confidence Interval 5.4% ~ 9.8%) per 1°C drop in mean temperature at prior moving average of 0-8 days lag in Wuhan, China. Our results indicate temperature was negatively associated with COVID-19 transmissibility during early stages of the outbreak in Wuhan, suggesting temperature is likely to effect COVID-19 transmission. These results suggest increased precautions should be taken in the colder seasons to reduce COVID-19 transmission in the future, based on past success in controlling the pandemic in Wuhan, China.Severe COVID-19 cases place immediate pressure on hospital resources. To assess this, we analysed survival duration in the first 39 fatal cases in Wuhan, China. Time from onset and hospitalization to death declined rapidly, from ~40 to 7 days, and ~25 to 4 days, respectively, in the outbreak's first month.We created a new, 8-item scale called "Career Student Planning Scale (CSPS)" for a valid and reliable measure regarding college students' career planning during a traumatic event, such as a pandemic. CSPS is conceptually similar to the career decision-making difficulty questionnaire (CDDQ) and the career decision self-efficacy (CDSE) scale. CSPS leans towards questions about college students' perceptions about career planning, rather than intuitions about career decision-making; it also inquires about how participants conceptualize about their career plans to be correct, rather than the more extreme idea about how their intuitions are correct we developed this scale to capture the latter construct. We included the coronavirus anxiety scale (CAS), CDDQ, the general procrastination scale (GPS), and the CDSE short form (CDSE-SF) as covariates to ensure that CSPS has distinct effects on their career paths. Our findings indicate the CSPS has acceptable psychometric properties and demonstrates a valuable input to those measures.The ongoing coronavirus disease 2019 (COVID-19) pandemic is of global concern and has recently emerged in the US. https://www.selleckchem.com/products/cd437.html In this paper, we construct a stochastic variant of the SEIR model to estimate a quasi-worst-case scenario prediction of the COVID-19 outbreak in the US West and East Coast population regions by considering the different phases of response implemented by the US as well as transmission dynamics of COVID-19 in countries that were most affected. The model is then fitted to current data and implemented using Runge-***** methods. Our computation results predict that the number of new cases would peak around mid-April 2020 and begin to abate by July provided that appropriate COVID-19 measures are promptly implemented and followed, and that the number of cases of COVID-19 might be significantly mitigated by having greater numbers of functional testing kits available for screening. The model is also sensitive to assigned parameter values and reflects the importance of healthcare preparedness during pandemics.
Patients with COVID-19 are at high risk of developing mental health problems; however, the prevalence and management of mental disorders and how psychiatrists coordinate the treatment are unclear.
We aimed to investigate the mental health problems of patients infected with COVID-19 and to identify the role of psychiatrists in the clinical treatment team during the pandemic. We also share the experience of psychiatric consultations of patients with COVID-19 in Shanghai, China.
We analysed data from the psychiatric medical records of 329 patients with COVID-19 in the Shanghai Public Health Clinical Center from 20 January to 8 March 2020. We collected information including sociodemographic characteristics, whether patients received psychiatric consultation, mental health symptoms, psychiatric diagnoses, psychiatric treatments and severity level of COVID-19.
Psychiatric consultations were received by 84 (25.5%) patients with COVID-19. The most common symptoms of mental health problems were sleep disordersons for patients with COVID-19. Our study indicated that a considerable proportion of patients with COVID-19, especially critically ill cases, experienced mental health problems. Given the remarkable effect of psychiatric treatments, we recommend that psychiatrists be timely and actively involved in the treatment of COVID-19.
This is the first study to report psychiatric consultations for patients with COVID-19. Our study indicated that a considerable proportion of patients with COVID-19, especially critically ill cases, experienced mental health problems. Given the remarkable effect of psychiatric treatments, we recommend that psychiatrists be timely and actively involved in the treatment of COVID-19.
During the outbreak of COVID-19, the national policy of home quarantine may affect the mental health of parents. However, few studies have investigated the mental health of parents during the COVID-19 pandemic.
To investigate the depression, anxiety and stress of the students' parents during the COVID-19 pandemic, and to explore the influence factors, especially the influence of social support and family-related factors.
The Generalised Anxiety Disorder-7, Patient Health Questionnaire-9, Perceived Stress Scale-10 and Social Support Rating Scale were applied to 1163 parents to measure the parents' depression, anxiety, stress and social support.
(1) The detection rates of depression and anxiety in parents were 6.1% and 4.0%. The depression, anxiety and perceived stress of parents in central China were significantly higher than those in non-central China. The anxiety of college students' parents was lower than that of parents of the primary, middle and high school students. The depression, anxiety and pe marital relationships, good social support, family harmony and parents without a history of mental illness may be protective factors for parents' mental health, while perceived stress and child in middle or high school are risk factors for parents' mental health.COVID-19 is causing a significant burden on medical and healthcare resources globally due to high numbers of hospitalisations and deaths recorded as the pandemic continues. This research aims to assess the effects of climate factors (i.e., daily average temperature and average relative humidity) on effective reproductive number of COVID-19 outbreak in Wuhan, China during the early stage of the outbreak. Our research showed that effective reproductive number of COVID-19 will increase by 7.6% (95% Confidence Interval 5.4% ~ 9.8%) per 1°C drop in mean temperature at prior moving average of 0-8 days lag in Wuhan, China. Our results indicate temperature was negatively associated with COVID-19 transmissibility during early stages of the outbreak in Wuhan, suggesting temperature is likely to effect COVID-19 transmission. These results suggest increased precautions should be taken in the colder seasons to reduce COVID-19 transmission in the future, based on past success in controlling the pandemic in Wuhan, China.Severe COVID-19 cases place immediate pressure on hospital resources. To assess this, we analysed survival duration in the first 39 fatal cases in Wuhan, China. Time from onset and hospitalization to death declined rapidly, from ~40 to 7 days, and ~25 to 4 days, respectively, in the outbreak's first month.We created a new, 8-item scale called "Career Student Planning Scale (CSPS)" for a valid and reliable measure regarding college students' career planning during a traumatic event, such as a pandemic. CSPS is conceptually similar to the career decision-making difficulty questionnaire (CDDQ) and the career decision self-efficacy (CDSE) scale. CSPS leans towards questions about college students' perceptions about career planning, rather than intuitions about career decision-making; it also inquires about how participants conceptualize about their career plans to be correct, rather than the more extreme idea about how their intuitions are correct we developed this scale to capture the latter construct. We included the coronavirus anxiety scale (CAS), CDDQ, the general procrastination scale (GPS), and the CDSE short form (CDSE-SF) as covariates to ensure that CSPS has distinct effects on their career paths. Our findings indicate the CSPS has acceptable psychometric properties and demonstrates a valuable input to those measures.The ongoing coronavirus disease 2019 (COVID-19) pandemic is of global concern and has recently emerged in the US. https://www.selleckchem.com/products/cd437.html In this paper, we construct a stochastic variant of the SEIR model to estimate a quasi-worst-case scenario prediction of the COVID-19 outbreak in the US West and East Coast population regions by considering the different phases of response implemented by the US as well as transmission dynamics of COVID-19 in countries that were most affected. The model is then fitted to current data and implemented using Runge-Kutta methods. Our computation results predict that the number of new cases would peak around mid-April 2020 and begin to abate by July provided that appropriate COVID-19 measures are promptly implemented and followed, and that the number of cases of COVID-19 might be significantly mitigated by having greater numbers of functional testing kits available for screening. The model is also sensitive to assigned parameter values and reflects the importance of healthcare preparedness during pandemics.
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