Result 1 - 10 of total 50
Journal of Safety Science and Resilience
| Keywords | covid19 |
|---|---|
| Publisher | WHO |
| Document type | Article |
| Note | WHO #Covidence: #635649 |
| Database | COVID19 |
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Journal of Safety Science and Resilience
The key issues
2020 Volume 1, Issue 2, Page(s) 67–69
| Keywords | covid19 |
|---|---|
| Language | English |
| Publisher | Elsevier BV |
| Publishing country | us |
| Document type | Article ; Online |
| ISSN | 2666-4496 |
| DOI | 10.1016/j.jnlssr.2020.06.002 |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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PM & R : the journal of injury, function, and rehabilitation
2021 Volume 14, Issue 2, Page(s) 239–258
Abstract: ... to patients with COVID-19. Specifically, we aimed to (1) describe the impact of COVID on patients and ... of rehabilitation be informed by the care setting and COVID severity. Most issues that challenged COVID ... Literature survey: We searched Medline, PsychINFO, Embase, and CINAHL on June 26, 2020 using key words ...
| Abstract | Objective: To synthesize the nature and extent of research on rehabilitation care provision to patients with COVID-19. Specifically, we aimed to (1) describe the impact of COVID on patients and associated rehabilitation needs, (2) outline the adaptations and preparations required to enable the provision of COVID rehabilitation, (3) describe the types of rehabilitation services and treatments provided to COVID patients, and (4) identify barriers and facilitators to delivering COVID rehabilitation. Literature survey: We searched Medline, PsychINFO, Embase, and CINAHL on June 26, 2020 using key words such as "rehabilitation," "physical medicine," "allied health professionals," and variations of "COVID." The search was updated on October 13, 2020. We included articles published in English and that focused on some aspect of COVID rehabilitation for adults. We excluded articles focused on pediatric populations and those not focused (or minimally focused) on rehabilitation for COVID patients. Methodology: Data were charted based on article type (ie, primary data, secondary data, guidelines). Key information extracted included (1) COVID sequelae; (2) rehabilitation adaptations; (3) structure, function, and content of rehabilitation services/programs; (4) facilitators and/or barriers to providing COVID rehabilitation; and (5) recommendations for COVID rehabilitation programming. Data were synthesized narratively. Synthesis: In total, 128 articles were included in the review that reported primary data (n = 33), secondary data (n = 82), and clinical practice/patient self-management guidelines (n = 13). Evidence begins to suggest that rehabilitation is necessary and valuable for addressing COVID-related declines in health, function, and well-being. Most articles recommended that an individualized rehabilitation program be provided across the continuum of care by an interdisciplinary team of professionals and that the nature and extent of rehabilitation be informed by the care setting and COVID severity. Most issues that challenged COVID rehabilitation delivery were directly addressed by the facilitators and adaptations identified. Conclusions: Future recommendations include a greater emphasis on the psychosocial aspects of COVID rehabilitation, inclusion of families in rehabilitation planning, and the use of qualitative approaches to complement clinical data. |
|---|---|
| MeSH term(s) | Adult ; COVID-19 ; Child ; Humans ; Medicine ; Palliative Care ; SARS-CoV-2 |
| Language | English |
| Publishing date | 2021-10-07 |
| Publishing country | United States |
| Document type | Journal Article ; Review |
| ZDB-ID | 2608988-9 |
| ISSN | 1934-1563 ; 1934-1482 |
| ISSN (online) | 1934-1563 |
| ISSN | 1934-1482 |
| DOI | 10.1002/pmrj.12669 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 6951: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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2023 Volume 9, Issue 3, Page(s) e14499
Abstract: ... following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly ... its contributing variables among COVID-19-recovered patients in Bangladesh.: Methods: This was a cross-sectional ... Coronavirus disease (COVID-19) is among the most prominent examples. A considerable public health issue ...
| Abstract | Background: During the 21st century, pandemics have emerged frequently and become more challenging. Coronavirus disease (COVID-19) is among the most prominent examples. A considerable public health issue following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly susceptible to developing PTSD. Earlier epidemic studies showed a high prevalence of trauma-exposed people as a result of infectious diseases. This research aimed to quantify the estimated prevalence of PTSD and its contributing variables among COVID-19-recovered patients in Bangladesh. Methods: This was a cross-sectional research carried out through an e-survey comprising 326 individuals (69.0% male; mean age = 37.97 ± 13.02 years; age range = 18-76 years) and conducted between September 2020 to January 2021. The online survey included a section for gathering participant's informed permission as well as sections on key demographics and way of life, and social supports during the suffering period from acute COVID-19, as well as a PTSD Checklist for DSM-5 (PCL-5) to examine PSTD. Descriptive statistics and multiple regression analyses were performed. |
|---|---|
| Language | English |
| Publishing date | 2023-03-15 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 2835763-2 |
| ISSN | 2405-8440 |
| ISSN | 2405-8440 |
| DOI | 10.1016/j.heliyon.2023.e14499 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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Heliyon, Vol 9, Iss 3, Pp e14499- (2023)
A cross-sectional study
2023
Abstract: ... following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly ... its contributing variables among COVID-19-recovered patients in Bangladesh. Methods: This was a cross-sectional ... immediate intervention among national and international COVID-19 recovered patients. ...
| Abstract | Background: During the 21st century, pandemics have emerged frequently and become more challenging. Coronavirus disease (COVID-19) is among the most prominent examples. A considerable public health issue following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly susceptible to developing PTSD. Earlier epidemic studies showed a high prevalence of trauma-exposed people as a result of infectious diseases. This research aimed to quantify the estimated prevalence of PTSD and its contributing variables among COVID-19-recovered patients in Bangladesh. Methods: This was a cross-sectional research carried out through an e-survey comprising 326 individuals (69.0% male; mean age = 37.97 ± 13.02 years; age range = 18–76 years) and conducted between September 2020 to January 2021. The online survey included a section for gathering participant's informed permission as well as sections on key demographics and way of life, and social supports during the suffering period from acute COVID-19, as well as a PTSD Checklist for DSM-5 (PCL-5) to examine PSTD. Descriptive statistics and multiple regression analyses were performed. Results: The prevalence estimates of PTSD ranged between 36 and 41% based on three predefined cut-offs. As per multiple linear regression analysis, PTSD was much more common among those who took part and reported being middle-aged/older adults (≥40 years), having lower S.E.S., and who slept more (>9 h/day). In addition, PTSD was negatively associated (p <0.05) with the social support of family members/friends/relatives, and colleagues in working settings; while positively correlated with health care providers. Conclusion: The current investigation revealed a considerably higher level of PTSD among COVID-19-recovered patients. The findings suggest extending the mental health services, other covariates, and immediate intervention among national and international COVID-19 recovered patients. |
|---|---|
| Keywords | COVID-19 pandemic ; Posttraumatic stress disorder ; Social-support ; COVID-19 survivors ; Psychological emergency ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99 |
| Subject code | 150 |
| Language | English |
| Publishing date | 2023-03-01T00:00:00Z |
| Publisher | Elsevier |
| Document type | Article ; Online |
| Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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2023 Volume 11, Issue 10
Abstract: ... pandemic fatigue and prioritizing vaccination issues for people who have recovered from COVID-19 may be key ... recovered from COVID-19 in the post-pandemic era, we conducted an anonymous cross-sectional survey study ... the pandemic fatigue level among people who have recovered from COVID-19, the more likely they were to be ...
| Abstract | At present, the COVID-19 pandemic is still ongoing globally and the virus is constantly mutating. The herd immunity barrier established by past infections or vaccinations is gradually weakening and reinfections are occurring. To evaluate the pandemic fatigue and vaccine hesitancy among people who have recovered from COVID-19 in the post-pandemic era, we conducted an anonymous cross-sectional survey study in China from 4 July to 11 August 2023, nearly 6 months after the last large-scale nationwide infection. Basic sociodemographic characteristics, health-related factors (smoking, drinking, and chronic disease history), COVID-19 vaccination history, and self-reported long COVID were obtained as potential covariates. A series of logistic regression models were performed to examine the association between pandemic fatigue and vaccine hesitancy toward the next dose of COVID-19 vaccines via crude relative risks (cORs) and adjusted relative risks (aORs) with 95% CIs. According to our results, of the 2942 participants, 1242 (42.2%) were hesitant (unwilling or not sure) to receive the next dose of COVID-19 vaccines. The average score on the Pandemic Fatigue Scale was 21.67 ± 8.86, in which the scores of all items in the vaccine-hesitant group were significantly higher than those in the vaccine-accepting group. Additionally, the higher the pandemic fatigue level among people who have recovered from COVID-19, the more likely they were to be hesitant to receive the next dose of the COVID-19 vaccines (moderate: aOR = 2.94, 95% CI: 2.46-3.53; high: aOR = 6.88, 95% CI: 5.49-8.64). Overall, more than 40% of the recovered participants were unwilling or uncertain about the next vaccine dose, with varying degrees of pandemic fatigue. Pandemic fatigue is a potentially relevant factor for vaccine hesitancy and may hinder the translation of vaccination intention into behavior. Considering the ongoing reinfection situation, implementing a health education plan to reduce pandemic fatigue and prioritizing vaccination issues for people who have recovered from COVID-19 may be key to promoting the reduction of the COVID-19 disease burden and ensuring the health and well-being of the population. |
|---|---|
| Language | English |
| Publishing date | 2023-10-05 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ZDB-ID | 2703319-3 |
| ISSN | 2076-393X |
| ISSN | 2076-393X |
| DOI | 10.3390/vaccines11101570 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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Heliyon. 2023 Mar., v. 9, no. 3 p.e14499-
2023
Abstract: ... the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly susceptible ... among COVID-19-recovered patients in Bangladesh. This was a cross-sectional research carried out through an e ... revealed a considerably higher level of PTSD among COVID-19-recovered patients. The findings suggest ...
| Abstract | During the 21st century, pandemics have emerged frequently and become more challenging. Coronavirus disease (COVID-19) is among the most prominent examples. A considerable public health issue following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly susceptible to developing PTSD. Earlier epidemic studies showed a high prevalence of trauma-exposed people as a result of infectious diseases. This research aimed to quantify the estimated prevalence of PTSD and its contributing variables among COVID-19-recovered patients in Bangladesh. This was a cross-sectional research carried out through an e-survey comprising 326 individuals (69.0% male; mean age = 37.97 ± 13.02 years; age range = 18-76 years) and conducted between September 2020 to January 2021. The online survey included a section for gathering participant's informed permission as well as sections on key demographics and way of life, and social supports during the suffering period from acute COVID-19, as well as a PTSD Checklist for DSM-5 (PCL-5) to examine PSTD. Descriptive statistics and multiple regression analyses were performed. Results: The prevalence estimates of PTSD ranged between 36 and 41% based on three predefined cut-offs. As per multiple linear regression analysis, PTSD was much more common among those who took part and reported being middle-aged/older adults (≥40 years), having lower S.E.S., and who slept more (>9 h/day). In addition, PTSD was negatively associated (p <0.05) with the social support of family members/friends/relatives, and colleagues in working settings; while positively correlated with health care providers. Conclusion: The current investigation revealed a considerably higher level of PTSD among COVID-19-recovered patients. The findings suggest extending the mental health services, other covariates, and immediate intervention among national and international COVID-19 recovered patients. |
|---|---|
| Keywords | COVID-19 infection ; Orthocoronavirinae ; cross-sectional studies ; demographic statistics ; descriptive statistics ; health services ; males ; mental health ; pandemic ; people ; public health ; regression analysis ; social support ; surveys ; Bangladesh ; COVID-19 pandemic ; Posttraumatic stress disorder ; Social-support ; COVID-19 survivors ; Psychological emergency |
| Language | English |
| Dates of publication | 2023-03 |
| Publishing place | Elsevier Ltd |
| Document type | Article ; Online |
| Note | Use and reproduction |
| ZDB-ID | 2835763-2 |
| ISSN | 2405-8440 |
| ISSN | 2405-8440 |
| DOI | 10.1016/j.heliyon.2023.e14499 |
| Database | NAL-Catalogue (AGRICOLA) |
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medRxiv
Abstract: ... of the pandemic necessitate reengineering our original model to account for these changes in the COVID-19 research ... that progress through time, and issues a probability of Long COVID for each 100-day period. If a patient has ... known acute COVID-19 during any 100-day window (including reinfections), we censor the data from 7 days ...
| Abstract | Background. In 2021, we used the National COVID Cohort Collaborative (N3C) as part of the NIH RECOVER Initiative to develop a machine learning (ML) pipeline to identify patients with a high probability of having post-acute sequelae of SARS-CoV-2 infection (PASC), or Long COVID. However, the increased home testing, missing documentation, and reinfections that characterize the latter years of the pandemic necessitate reengineering our original model to account for these changes in the COVID-19 research landscape. Methods. Our updated XGBoost model gathers data for each patient in overlapping 100-day periods that progress through time, and issues a probability of Long COVID for each 100-day period. If a patient has known acute COVID-19 during any 100-day window (including reinfections), we censor the data from 7 days prior to the diagnosis/positive test date through 28 days after. These fixed time windows replace the prior model9s reliance on a documented COVID-19 index date to anchor its data collection, and are able to account for reinfections. Results. The updated model achieves an area under the receiver operating characteristic curve of 0.90. Precision and recall can be adjusted according to a given use case, depending on whether greater sensitivity or specificity is warranted. Discussion. By eschewing the COVID-19 index date as an anchor point for analysis, we are now able to assess the probability of Long COVID among patients who may have tested at home, or with suspected (but untested) cases of COVID-19, or multiple SARS-CoV-2 reinfections. We view this exercise as a model for maintaining and updating any ML pipeline used for clinical research and operations. |
|---|---|
| Keywords | covid19 |
| Language | English |
| Publishing date | 2023-12-09 |
| Publisher | Cold Spring Harbor Laboratory Press |
| Document type | Article ; Online |
| DOI | 10.1101/2023.12.08.23299718 |
| Database | COVID19 |
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medRxiv
Abstract: ... of the pandemic necessitate reengineering our original model to account for these changes in the COVID-19 research ... that progress through time, and issues a probability of Long COVID for each 100-day period. If a patient has ... known acute COVID-19 during any 100-day window (including reinfections), we censor the data from 7 days ...
| Abstract | Background. In 2021, we used the National COVID Cohort Collaborative (N3C) as part of the NIH RECOVER Initiative to develop a machine learning (ML) pipeline to identify patients with a high probability of having post-acute sequelae of SARS-CoV-2 infection (PASC), or Long COVID. However, the increased home testing, missing documentation, and reinfections that characterize the latter years of the pandemic necessitate reengineering our original model to account for these changes in the COVID-19 research landscape. Methods. Our updated XGBoost model gathers data for each patient in overlapping 100-day periods that progress through time, and issues a probability of Long COVID for each 100-day period. If a patient has known acute COVID-19 during any 100-day window (including reinfections), we censor the data from 7 days prior to the diagnosis/positive test date through 28 days after. These fixed time windows replace the prior model9s reliance on a documented COVID-19 index date to anchor its data collection, and are able to account for reinfections. Results. The updated model achieves an area under the receiver operating characteristic curve of 0.90. Precision and recall can be adjusted according to a given use case, depending on whether greater sensitivity or specificity is warranted. Discussion. By eschewing the COVID-19 index date as an anchor point for analysis, we are now able to assess the probability of Long COVID among patients who may have tested at home, or with suspected (but untested) cases of COVID-19, or multiple SARS-CoV-2 reinfections. We view this exercise as a model for maintaining and updating any ML pipeline used for clinical research and operations. |
|---|---|
| Keywords | covid19 |
| Language | English |
| Publishing date | 2023-12-09 |
| Publisher | Cold Spring Harbor Laboratory Press |
| Document type | Article ; Online |
| DOI | 10.1101/2023.12.08.23299718 |
| Database | COVID19 |
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.
2023 Volume 20, Issue 4, Page(s) e1004224
Abstract: ... discuss the contents of the special issue on the pandemic and global mental health, highlighting key ...
| Abstract | In this editorial, guest editors Vikram Patel, Daisy Fancourt, Lola Kola, and Toshi Furukawa discuss the contents of the special issue on the pandemic and global mental health, highlighting key themes and providing important context. |
|---|---|
| MeSH term(s) | Humans ; Mental Health ; COVID-19 ; Pandemics ; Mental Health Services ; Global Health |
| Language | English |
| Publishing date | 2023-04-24 |
| Publishing country | United States |
| Document type | Editorial |
| ZDB-ID | 2185925-5 |
| ISSN | 1549-1676 ; 1549-1277 |
| ISSN (online) | 1549-1676 |
| ISSN | 1549-1277 |
| DOI | 10.1371/journal.pmed.1004224 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 6042: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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