Academic literature on the topic 'Covid long'

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Journal articles on the topic "Covid long":

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Kuznecova, Sof'ya, and Elena Belyaeva. "LONG COVID SYNDROME." Clinical Medicine and Pharmacology 9, no. 1 (May 15, 2023): 31–32. http://dx.doi.org/10.12737/2409-3750-2023-9-1-31-32.

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Clinical observations of polymorbid patients with Long Covid syndrome in real clinical practice are presented. Treatment options for patients with lung, muscle, cardiovascular and nervous system damage, immuno-inflammatory syndrome are proposed.
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Mihajlović, Miroslav, Bogdan Marković, Milan Marinković, Nebojša Mujović, and Tatjana Potpara. "Long COVID-19 syndrome: An overview." Medicinski podmladak 74, no. 4 (2023): 26–34. http://dx.doi.org/10.5937/mp74-47797.

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The Long COVID-19 syndrome has emerged as global epidemic, affecting individuals after an acute infection caused by the Severe acute respiratory syndrome coronavirus 2, impacting multiple organs, including the heart. The most common symptoms encompass fatigue and shortness of breath, which could persist for months after an acute COVID-19 infection. Numerous studies have researched the pathophysiology of Long COVID-19 syndrome, suggesting that local tissue damage and hyperinflation could be employed as possible mechanisms of Long COVID-19 syndrome. Many blood biomarkers (blood urea nitrogen, D-dimer, lymphopenia, troponin-1, interleukin-6, and CRP) and clinical risk factors (CRP female sex, a history of psychiatric disorders, and the presence of more than five symptoms during the first week of an acute illness) are shown to be associated with the development of Long COVID-19 syndrome. Currently, the evidence-based specific pharmacological treatments for the Long COVID-19 syndrome are lacking. Several studies have shown an association between antiviral drugs (such as nirmatrelvir, ensitrelvir, and molnupiravir) and vaccination against COVID-19 with a reduced risk of developing Long COVID-19 syndrome. This narrative review discusses the possible pathophysiology, risk factors, and treatments for Long COVID-19 syndrome with particular reference to the cardiovascular system.
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TICĂRĂU, Adriana, Mihaela Adela IANCU, and Dumitru MATEI. "Long COVID syndrome – general aspects." Romanian Journal of Medical Practice 16, no. 2 (June 30, 2021): 174–77. http://dx.doi.org/10.37897/rjmp.2021.2.12.

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2020), growing scientific evidence worldwide suggests that a small percentage of people who have developed COVID-19 and healed after the initial infection may experience a series of persistent symptoms over a period of more than 12 weeks, such as marked fatigue, shortness of breath, confusion, diarrhea, or other symptoms that cannot be explained by an alternative diagnosis. This status has been called “long COVID syndrome” or ”post COVID syndrome”.
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Editor in Chief, The. "Long COVID." BIRDEM Medical Journal 11, no. 2 (April 23, 2021): 80–83. http://dx.doi.org/10.3329/birdem.v11i2.53126.

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Visan, Ioana. "Long COVID." Nature Immunology 22, no. 8 (July 27, 2021): 934–35. http://dx.doi.org/10.1038/s41590-021-00992-4.

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Hofman, Eline. "LONG COVID." TvPO 17, no. 1 (January 31, 2022): 20–22. http://dx.doi.org/10.1007/s12503-022-0927-1.

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S. N., Puzin, Potapov V. N., Bogova O. T., and Velikolug K. A. "MEDICAL REHABILITATION FOR LONG-COVID INFECTION." Bulletin of the Russian association of specialists in medical and social expert evaluation, rehabilitation and rehabilitation industry 4 (2023): 69–86. http://dx.doi.org/10.17238/issn1999-2351.2023.4.69-86.

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Belotserkovskaya, Yulia G., Anna G. Romanovskikh, Igor P. Smirnov, and Alexander I. Sinopalnikov. "Long COVID-19." Consilium Medicum 23, no. 3 (2021): 261–68. http://dx.doi.org/10.26442/20751753.2021.3.200805.

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The term “long COVID-19” describes the long-term effects of the novel coronavirus infection COVID-19. Patients with severe COVID-19 who require hospitalization, as well as those who are on outpatient treatment with mild clinical forms of the disease, often report persistent fatigue, shortness of breath, pain, cough and other respiratory and extrapulmonary symptoms for weeks and months. The generally accepted time frame that separates the duration of the acute and subacute phase of infection from the long COVID-19 is 28 days. The article describes the duration and the course of clinical disorders caused by COVID-19 and their persisting after the end of the acute phase of the disease. In addition, the current understanding of the causes of long-term consequences and the possibilities of drug and non-pharmacological correction are presented.
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Di Toro, Alessandro, Antonio Bozzani, Guido Tavazzi, Mario Urtis, Lorenzo Giuliani, Roberto Pizzoccheri, Flaminia Aliberti, Viola Fergnani, and Eloisa Arbustini. "Long COVID: long-term effects?" European Heart Journal Supplements 23, Supplement_E (October 1, 2021): E1—E5. http://dx.doi.org/10.1093/eurheartj/suab080.

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Abstract The term Long COVID (or Post COVID) describes a condition characterized by persistence of symptoms for at least 12 weeks after the onset of COVID-19. It may last several months but the duration is still matter of observation. The symptoms and the clinical manifestations are clinically heterogeneous and suggesting involvement of multi-organs/systems, including the cardiovascular system. The general recurrent symptoms include fatigue, breathlessness, myalgia, headache, loss of memory, and impaired concentration. Patients report loss of their previous psychophysical performance. Cardiovascular involvement manifests with common symptoms such as palpitations and chest pain, and, less commonly, with events such as late arterial and venous thromboembolisms, heart failure episodes, strokes or transient ischaemic attack, ‘myo-pericarditis’. The diagnostic criteria are mainly based on the narrative of the patients. Measurable biomarkers or instrumental findings or clinical events are not yet framed in a shared diagnostic framework. The open question for clinicians and researchers is whether biomarkers, electrocardiogram, non-invasive imaging, and clinical monitoring should be included in a shared diagnostic protocol aimed at defining the diagnostic path and protecting patients at risk of unexpected events.
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Martelletti, Paolo, E. Bentivegna, V. Spuntarelli, and M. Luciani. "Long-COVID Headache." SN Comprehensive Clinical Medicine 3, no. 8 (May 20, 2021): 1704–6. http://dx.doi.org/10.1007/s42399-021-00964-7.

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AbstractThe so-called long COVID-19 is a set of symptoms that accompanies the patient even for months after discharge from the hospital. These symptoms include easy muscle fatigue, moderate breathlessness, persistent headache, the feeling of a foggy head, and the development of psychiatric disorders. In general, the quality of life of at least half of the patients who come out of the COVID-19 syndrome, both mild and severe, shows a markedly worsening despite having passed a difficult physical and psychological test. Among all the neurological disorders that can most frequently be found in the long COVID-19, it is important to consider the persistent headache symptomatology as a possible chronic sequela of the infection. Since there is not a definition in the International Headache Society classification of this type of headache, we must focus our attention on this long-COVID-19 headache especially because clinical studies are being planned to collect big data for the International Headache Society Classification Committee.

Dissertations / Theses on the topic "Covid long":

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Lindfors, Camilla. "Long covid, support bubbles, and quarantine raves : Neologisms in English since the beginning of the Covid-19 pandemic in 2020." Thesis, Mittuniversitetet, Institutionen för humaniora och samhällsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42539.

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Cavalli, Anna. "Utilità della fisioterapia respiratoria nel paziente affetto da long-COVID: revisione d’ambito." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24551/.

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Il prolungarsi della fase pandemica ha permesso di poter identificare le caratteristiche dell’infezione da Sars-Cov-2 e osservarne le sequele. In un numero crescente di pazienti a distanza dall’infezione, si evidenziano quadri clinici che inficiano il completo ritorno allo svolgimento delle ADL. Per questo si parla di pazienti long-COVID. Gli studi presenti in letteratura che si concentrano sul trattamento riabilitativo migliore per questi pazienti sono ancora pochi e in parte discordanti. Inoltre, solo alcuni prendono in considerazione la fisioterapia respiratoria nel loro programma fisioterapico a lungo termine. L’obiettivo di questa Scoping Review è ricercare e sottolineare l’importanza e l’applicazione della fisioterapia respiratoria nel paziente affetto da long-COVID seguendo il modello della checklist della PRISMA Extension per Scoping Review. Materiali e metodi: Sono stati inclusi studi che riguardano le modalità del trattamento attuate su pazienti manifestanti sequele da infezione da COVID-19 in fase post-intensiva, pubblicati tra dicembre 2019 e agosto 2021. È stato posto come unico limite la lingua inglese senza limitazioni di sesso, età o etnia. Le banche dati sulle quali è stata effettuata la ricerca sono PUBMED, PEDro e CENTRAL. Sono stati inclusi studi controllati, Case Report, Review, studi osservazionali e articoli. Questa Scoping Review prende in analisi 12 studi. La maggior parte di questi considera la fisioterapia respiratoria come parte di un protocollo riabilitativo globale costituito anche da mobilizzazioni, riallenamento allo sforzo, rinforzo muscolare, esercizi di equilibrio e coordinazione. Gli studi presi in considerazione sono di bassa qualità statistica; perciò, non è possibile trarre conclusioni significative. Tuttavia, tutti gli studi considerano l’intervento di riabilitazione respiratoria uno strumento valido per il recupero nei pazienti affetti da long-COVID, anche se non sono stati identificati interventi e outcome specifici.
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PEZZETTI, FEDERICA. "Monitoraggio della sindrome post-COVID: l’esperienza dell’ASST di Cremona." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365538.

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Introduzione. Ad oggi restano ancora da scoprire le implicazioni a lungo termine per i pazienti che sopravvivono, dopo ospedalizzaizone, all'infezione da SARS-CoV-2, soprattutto per coloro che hanno contratto una forma severa di COVID-19. Obbiettivo. Misurare il carico di malattia residua ancora rilevabile a circa tre mesi e un anno dalla dimissione in pazienti sottoposti a procedure invasive di ventilazione durante la degenza indice. Materiali e metodi. È stato condotto uno studio osservazionale monocentrico includendo pazienti dimessi vivi dal ricovero ospedaliero con diagnosi principale di COVID-19 e sottoposti a procedure ventilatorie durante la degenza ospedaliera. I sintomi e un'ampia gamma di indagini strumentali ed esami TC sono stati valutati dopo circa tre mesi e un anno dalla dimissione indice da un team multidisciplinare utilizzando procedure standardizzate. Risultati. Tra marzo e giugno 2020 sono stati arruolati 203 pazienti che hanno accettato di sottoporsi a una visita ambulatoriale dopo tre mesi dalla dimissione. Circa il 60% dei pazienti aveva almeno un sintomo, il 6,5% aveva un basso livello di saturazione durante la lettura dell'ossimetria e l'85,0% aveva almeno un'anomalia dell'analisi del sangue. Più del 20% dei pazienti presentava almeno il 50% del parenchima polmonare affetto da anomalie. Durante la visita è stata richiesta una consulenza specialistica per il 21,2% dei soggetti. A livello globale, poco più del 20% dei pazienti presentava ancora una grave malattia residua da COVID-19. La durata della degenza ospedaliera superiore a 30 giorni era significativamente associata al rischio di avere una malattia residua grave. Conclusione. Un'ampia percentuale di pazienti presentava ancora segni clinici e strumentali di malattia residua circa due mesi dopo la dimissione e ad un anno, seppur in una percentuale più ridotta si protraevano anomalie. Fornire una valutazione coordinata e multidisciplinare a lungo termine, attraverso la costruzione di protocolli standardizzati dovrebbe essere presa in considerazione per tali pazienti, anche alla luce della programmazione sanitaria futura.
Background. Long-term implications for patients surviving SARS-CoV-2 infection, mostly for those who experienced critical COVID-19, remain to be uncovered. Objective. To measure the burden of residual disease still detectable approximately three months and one year after discharge in patients underwent to mechanical ventilation during the index hospital stay. Methods. A single-center observational study was performed by including patients discharged alive from hospital admission with main diagnosis of COVID-19, and who underwent mechanical ventilation during hospital stay. Symptoms and a wide range of instrumental signs and CT exams were assessed after approximately three months and one years from index discharge by a multidisciplinary team using standardized procedures. Results. Between March and June 2020, 203 patients were enrolled and agreed to undergo an outpatient visit after two months since discharge. About 60% patients had at least one symptom, 6.5% had low level of saturation during oximetry reading and 85.0% had at least a blood test abnormality. More than 20% patients had at least 50% of the lung parenchyma affected by abnormalities. During the visit, a specialist consultation was requested for 21.2% of the subjects. Globally, just above 20% of the patients still presented severe COVID-19 Residual Illness. Duration of hospital stay longer than 30 days was significantly associated with the risk of having severe residual illness. Conclusion. A large proportion of patients still had clinical and instrumental signs of residual illness approximately two months after discharge. Provision of a coordinated, multidisciplinary long-term assessment should be considered for such patients experiencing critical COVID-19 disease, also in the light of future health planning
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Lerogeron, Hugo. "Approximation de Dynamic Time Warping par réseaux de neurones pour la compression de signaux EEG et l'analyse de l'insomnie induite par le COVID long." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR098.

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Ce manuscrit présente les travaux effectués dans le cadre d'une thèse CIFRE réalisée en collaboration entre le LITIS et Saagie, et qui s'inscrit dans le projet PANDORE-IA en partenariat avec le centre du sommeil VIFASOM.Les signaux électroencéphalographiques (EEG) sont très utiles pour aider les experts à identifier diverses anomalies comme les troubles du sommeil. En particulier dernièrement, la communauté s'est beaucoup intéressée au COVID long et à ses divers impacts sur le sommeil. Ces signaux sont cependant volumineux : la compression permet de réduire les coûts de stockage et de transfert. Les approches récentes de compression se basent sur des autoencodeurs qui utilisent une fonction de coût pour apprendre. Celle-ci est usuellement la MSE, mais il existe des métriques plus adaptées aux séries temporelles, en particulier DTW. DTW n'est toutefois pas différentiable et ne peut donc être utilisée pour un apprentissage de bout-en-bout.Pour résoudre ce problème, nous proposons dans cette thèse deux approches d'approximation de DTW basées sur des réseaux de neurones. La première approche utilise un réseau siamois pour projeter les signaux de sorte que la distance euclidienne des signaux projetés soit la plus proche possible de la DTW des signaux originaux. La deuxième approche tente de directement prédire la valeur de DTW. Nous montrons que ces approches sont plus rapides que les autres approximations différentiables de DTW tout en obtenant des résultats similaires à l'utilisation de DTW dans des tâches de requêtage ou de classification de signaux du sommeil.Nous montrons ensuite que l'approximation siamoise peut être utilisée comme fonction de coût pour apprendre un système de compression des signaux de sommeil basé sur un autoencodeur. Nous justifions du choix de l'architecture du réseau par le fait qu'elle nous permet de faire varier le taux de compression. Nous évaluons ce système de compression par la classification sur les signaux compressés puis reconstruits, et montrons que les mesures usuelles de qualité de compression ne permettent pas de correctement évaluer la capacité d'un système de compression à conserver l'information discriminante. Nous montrons que nos approximations de DTW permettent d'obtenir de meilleures performances sur les données reconstruites que des algorithmes de compression usuels et que d'autres fonctions de coût de reconstruction.Enfin, pour étudier l'impact du COVID long sur l'insomnie, nous collectons et mettons à disposition de la communauté un jeu de données nommé COVISLEEP, constitué de polysomnographies de personnes ayant développé une insomnie chronique après infection du COVID, et de personnes souffrant d'insomnie chronique mais n'ayant pas été infectées par le virus. Nous comparons diverses approches à l'état de l'art pour classifier les états du sommeil, et utilisons la meilleure pour apprendre la détection de COVID long. Nous montrons la difficulté de la tâche, notamment due à la forte variabilité entre les patients. Ceci offre à la communauté un jeu complexe qui laisse place au développement de méthodes plus performantes
This manuscript presents the work carried out within the framework of the CIFRE thesis conducted in partnership between LITIS and Saagie and which is part of the PANDORE-IA project in association with the VIFASOM sleep center.Electroencephalographic (EEG) signals are very useful in helping experts identify various abnormalities like sleep disorders. Recently, the community has shown great interest in long COVID and its various impacts on sleep. However, these signals are voluminous: compression allows reducing storage and transfer costs. Recent compression approaches are based on autoencoders that use a cost function to learn. It is usually the Mean Squared Error (MSE), but there are metrics more suited to time series, particularly Dynamic Time Warping (DTW). However, DTW is not differentiable and thus can not be used as a loss for end-to-end learning.To solve this problem, we propose in this thesis two approaches to approximate DTW based on neural networks. The first approach uses a Siamese network to project the signals so that the Euclidean distance of the projected signals is as close as possible to the DTW of the original signals. The second approach attempts to predict directly the DTW value. We show that these approaches are faster than other differentiable approximations of DTW while obtaining results similar to DTW in query or classification on sleep data.We then demonstrate that the Siamese approximation can be used as a cost function for learning a sleep signal compression system based on an autoencoder. We justify the choice of the network architecture by the fact that it allows us to vary the compression rate. We evaluate this compression system by classification on the compressed and then reconstructed signals, and show that the usual measures of compression quality do not allow for a proper assessment of a compression system's ability to retain discriminative information. We show that our DTW approximations yield better performance on the reconstructed data than conventional compression algorithms and other reconstruction losses.Finally, to study the impact of long COVID on insomnia, we collect and provide the community with a dataset named COVISLEEP, containing polysomnographies of individuals who developed chronic insomnia after COVID infection, and of those suffering from chronic insomnia but who have not been infected by the virus. We compare various state-of-the-art approaches for sleep staging, and use the best one for learning the detection of long COVID. We highlight the difficulty of the task, especially due to the high variability among patients. This offers a complex dataset to the community that allows for the development of more effective methods
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Hemmenbach, Annkatrin. "Covid-19-pandemin och ohälsa i gruppen äldre : Konsekvenser av ensamhet och isolering." Thesis, Högskolan i Skövde, Institutionen för hälsovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19980.

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Introduktion: Den alarmerande spridningen av coronaviruset (COVID-19) utgör ett allvarligt hot mot nationer och samhällen runt om i världen (WHO, 2020). Risken för att bli svårt sjuk i covid-19 ökar med ålder. Viruset som orsakar covid-19 klassas som en infektionssjukdom och smittan sprids genom små droppar som skapas när en infekterad person hostar, nyser eller andas ut. Den påminner ofta om förkylning eller influensa med feber och hosta. Flera länder svarar genom restriktioner av icke-väsentliga aktiviteter och genom så kallade lockdowns eller rekommendationer samt med åtgärder som ska förhindra virusets framfart vilket varit ett viktigt verktyg tillsammans med smittspårning. Det har inneburit stora kostnader och negativ påverkanför både samhälle , den enskilde individen och i synnerhet de äldre. Syfte: Studiens syfte är att undersöka isoleringen och ensamhet påverkan på äldre individer under Covid-19 och dess konsekvenser för hälsa och välbefinnande. Metod: En systematisk litteraturstudie som inkluderade 11 vetenskapliga artiklar publicerade 2020–2021 som söktes i databaserna PubMed och CINAHL. Resultat: Resultatet uppvisar gruppens heterogenitet men även belyser det faktum att flertalet äldre rapporterar ökad ensamhet och oro som konsekvenser av rekommendationer och åtgärder under covid-19 pandemin. Slutsats: Det finns en ökad ohälsa bland äldre individer. Många har klarat sig positivt och anpassat sig, medan andra har upplevt försämrade känslor av ensamhet och med oförmåga att anta ny teknik för att underlätta social interaktion. Att identifiera äldre individer som upplever ihållande ensamhet under pandemin kan vara avgörande för att förbättra deras allmänna välbefinnande och minska risken för ytterligare ohälsa.
Introduction: The alarming spread of the coronavirus leading to COVID-19 posed a serious threat to nations and societies around the world (WHO, 2020). The risk of becoming seriously ill with COVID-19 increases with age. The coronavirus that causes COVID-19 is spread through small drops created when an infected person coughs, sneezes, or exhales. It is reminiscent of a cold or flu with fever, cough, and many other symptoms. Several countries responded by imposing restrictions on non-essential activities, lockdowns, and social distancingrecommendations, as well as others measures to prevent the virus's spread. These have been important tools along with infection tracing. However, this also has entailedhigh costs and a negative impact at the level of society, the individual and especially the elderly. Purpose: The purpose of this study was to investigate the impact of COVID-19 on isolation and loneliness among elderly and consequences for health and well-being. Method: A systematic literature study using the databases, PubMed and CINAHL, included 11 peer-reviewed articles published between 2020–2021. Results: The results showed that the impact of COVID-19 washeterogeneous among elderly and highlighted that most elderly people reported increased loneliness and anxiety as a consequence of national and global health recommendations and measures, such as mandated quarantine and social distancing, during the COVID-19 pandemic. Conclusion: COVID-19 increased ill mental health among older individuals. Many have coped positively and adapted, while others have experienced worsening feelings of loneliness,especially due to an inability to adopt technologies to facilitate social interaction. Identifying elderly individuals who experience persistent loneliness during the COVID-19 pandemic iscrucial to improve their overall well-being and reduce the risk of further ill mental and physical health.
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Vipp, Oskarsson Robin, and Hampus Johansson. "Employee Motivation in the Event of Unexpected Change : The roles of time and uncertainty in employees’ adaptability to change." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104470.

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The Covid-19 pandemic has made a major impact on organizations around the world since the outburst at the beginning of 2020. This has led the organization to let their employees work remotely from home. This situation has brought challenges for the employees which in turn have been forced to adapt to a new working environment. The uncertainty of the event may impact employee motivation. is to construct a model of not yet linked theoretical understandings that supports a simulation of potential future outcomes. Specifically, this paper draws a link between current understandings of employee motivation, employees’ adaptability to change. In order to simulate the current situation of the Covid-19 pandemic, this paper invites the notion of time and uncertainty into the equation. This to be able to demonstrate and understand how a new phenomenon can affect employees' motivation when they work from home for an extended period. The model proposes time as a non-self-healing process that instead risks impairing motivation if (a) self-regulatory activities are supporting the current motivation, and/or (b) the employee denies the change. In other words, there is no indication that the old saying 'time heals all wounds' fits in this context. In addition, the model indicates that the uncertainties derived from unexpected events drive employee's individual restraining forces. This paper contributes to the existing literature on employee motivation which previously lacked a framework for how motivation can be affected through unexpected change and extended work from home. This framework can also be used for future research where it will benefit from empirical data to further strengthen or develop the model.
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Baker, McKenzie A. "Nursing Knowledge and the Influence on Patient Diabetes Control." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1606307145199735.

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Richert, Mallory. "Caregiver Burnout, Compassion Satisfaction, and Personality: The Moderating Role of Work Engagement and Job Satisfaction." Xavier University Psychology / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=xupsy162514903678302.

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Giorgetti, Luca [Verfasser], Karl-Henning [Akademischer Betreuer] Rehren, Dorothea [Gutachter] Bahns, Roberto [Gutachter] Longo, Laura [Gutachter] Covi, Stefan [Gutachter] Kehrein, and Ralf [Gutachter] Meyer. "Braided Actions of DHR Categories and Reconstruction of Chiral Conformal Field Theories / Luca Giorgetti ; Gutachter: Dorothea Bahns, Roberto Longo, Laura Covi, Stefan Kehrein, Ralf Meyer ; Betreuer: Karl-Henning Rehren." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2016. http://d-nb.info/1116709848/34.

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Giorgetti, Luca Verfasser], Karl-Henning [Akademischer Betreuer] Rehren, Dorothea [Gutachter] Bahns, Roberto [Gutachter] Longo, Laura [Gutachter] Covi, Stefan [Gutachter] [Kehrein, and Ralf [Gutachter] Meyer. "Braided Actions of DHR Categories and Reconstruction of Chiral Conformal Field Theories / Luca Giorgetti ; Gutachter: Dorothea Bahns, Roberto Longo, Laura Covi, Stefan Kehrein, Ralf Meyer ; Betreuer: Karl-Henning Rehren." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2016. http://d-nb.info/1116709848/34.

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Books on the topic "Covid long":

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Stub, Sara Toth. Long COVID. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2022. http://dx.doi.org/10.4135/cqresrre20221202.

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Grobholz, Katharina. Long-Covid-/Post-Covid-Syndrom aus psychiatrischer Sicht. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67504-5.

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Smallwood, Melissa. The Future of Long COVID. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-40474-0.

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Jason, Leonard A., and Charles Lapp. Understanding the Behavioral and Medical Impact of Long COVID. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003371090.

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Whitacre, Paula Tarnapol, and Marie Harton, eds. Long-Term Impacts of COVID-19 on the Future Academic Careers of Women in STEM. Washington, D.C.: National Academies Press, 2022. http://dx.doi.org/10.17226/26687.

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Campbell, Alanna. Long Covid Journal. Long Covid-19 Journal: Covid-19 Tracker, for Recording Long Covid Symptoms and Health. Independently Published, 2021.

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Campbell, Alanna. Long Covid Journal. Long Covid-19 Journal: Covid-19 Tracker, for Recording Long Covid Symptoms and Health. Independently Published, 2021.

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Campbell, Alanna. Long Covid Journal. Long Covid-19 Journal: Covid-19 Tracker, for Recording Long Covid Symptoms and Health. Independently Published, 2021.

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Campbell, Alanna. Long Covid Journal. Long Covid-19 Journal: Covid-19 Tracker, for Recording Long Covid Symptoms and Health. Independently Published, 2021.

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Dichter, Marc, and Don Goldenberg. Unravelling Long COVID. Wiley & Sons, Incorporated, John, 2022.

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Book chapters on the topic "Covid long":

1

Geraghty, Keith, and Leonard A. Jason. "Fatigue and Long-COVID." In Understanding the Behavioral and Medical Impact of Long COVID, 18–34. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003371090-2.

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Smallwood, Melissa. "What Is Long Covid?" In Synthesis Lectures on Threatcasting, 7–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40474-0_2.

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Schmehl, Ingo, and Peter Schwenkreis. "Post- und Long-Covid – Begutachtung." In Die Ärztliche Begutachtung, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-61937-7_161-1.

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Smallwood, Melissa. "International Perspectives on Long COVID." In Synthesis Lectures on Threatcasting, 33–56. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40474-0_3.

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Nesteruk, Igor. "Long-Time Predictions for the Pandemic Dynamics." In COVID-19 Pandemic Dynamics, 153–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6416-5_13.

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Tripathy, Sukanya, Sanjay Singh, Monisha Banerjee, and Anand Prakash. "Investigation of Post-COVID/Long COVID Complications in Humans." In Interaction of Coronavirus Disease 2019 with other Infectious and Systemic Diseases, 12–23. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003324911-3.

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Bailey, Erin K., Joel E. Kamper, and Becky Gius. "Anticipated Long-Term Neurobehavioral Outcomes Following COVID-19." In Frontiers of COVID-19, 615–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08045-6_30.

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Chabot, Julia, Philippe Desmarais, and Michael Stiffel. "COVID-19 in Long-Term Care." In The Care of the Older Person, 87–93. 5th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003344476-19.

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Kułaczkowska, Zofia, Alicja Nowowiejska-Wiewióra, Jacek T. Niedziela, and Mariusz Gąsior. "Cardiovascular Complications of Long-COVID: Management." In Contemporary Cardiology, 401–9. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15478-2_24.

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Kapila, Mukesh. "The Long Shadow of COVID-19." In Global Perspectives of COVID-19 Pandemic on Health, Education, and Role of Media, 177–92. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1106-6_8.

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Abstract:
AbstractThe sudden arrival of COVID-19 shook the world and evoked varied—sometimes contradictory—reactions from communities, countries, and institutions around the world. The pandemic brought out the best and worst of humanity even as the complex play of factors underpinning the spread of the coronavirus collided in myriad ways to both facilitate and obstruct effective responses. The experience has generated much angst and questions about the way we are organized and relate to each other. And, most of all, it has the potential to reshape our fundamental premises. The effects will be profound going well beyond the pandemic itself to the notions of collective health as a common global good.

Conference papers on the topic "Covid long":

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Baalbaki, Nadia, and Rachel Giles. "Paediatric long COVID lacks definitions." In ATS 2022 International Conference, edited by Richard Dekhuijzen. Baarn, the Netherlands: Medicom Medical Publishers, 2022. http://dx.doi.org/10.55788/03fdc309.

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Litchman, T. D., J. H. Maley, and J. D. Zibrak. "Characterizing Long COVID in Patients With Respiratory Symptoms Referred to a Multidisciplinary Long COVID Clinic." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a2171.

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Hatte, L., and P. Preston. "Understanding Long COVID in Australia: Shaping Policy and Health Services to Support Long COVID Patients." In American Thoracic Society 2023 International Conference, May 19-24, 2023 - Washington, DC. American Thoracic Society, 2023. http://dx.doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1831.

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Hausberger, Andreas, Rene Baranyi, Sylvia Winkler, Barbara Tappeiner, and Thomas Grechenig. "Long COVID Diary - Design and Development of a Support Application for People with Long COVID." In 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2022. http://dx.doi.org/10.1109/healthcom54947.2022.9982758.

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Hausberger, Andreas, Barbara Tappeiner, René Baranyi, and Thomas Grechenig. "Long COVID Diary: A User Centered Approach for the Design of a Mobile Application Supporting Long COVID Patients." In Special Session on "COVID-19 epidemic data mining and EXploration". SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010972300003123.

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Doyle, Christopher, Arshid Murad, and Elizbeth McLachlan. "615 Incidence of COVID related persistent anosmia in children with long COVID – data from a Northern paediatric long COVID hub." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference, Glasgow, 23–25 May 2023. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2023. http://dx.doi.org/10.1136/archdischild-2023-rcpch.196.

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Hajer, R., T. Znegui, I. Bachouch, M. Sarra, M. Friha, A. Touil, S. Habibech, and C. Nawel. "Long COVID in relation to severity of acute COVID-19." In ERS International Congress 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/13993003.congress-2022.4253.

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Fesu, Dorottya, Lorinc Polivka, Eniko Barczi, Marcell Foldesi, Gabor Horvath, Aniko Bohacs, and Veronika Muller. "Long-COVID syndrome and interstitial lung disease following COVID-19." In ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa3923.

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Knight, S., M. Menon, B. Pott, T. Hussell, N. Bakerly, T. Williams, J. Grainger, et al. "Resolution of inflammation in long COVID." In ERS Lung Science Conference 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/23120541.lsc-2023.30.

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Koblizek, V., M. Kopecky, M. Skala, V. Sedlak, J. Mares, and H. Cigler. "Eight clusters of long-covid symptoms." In ERS International Congress 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/13993003.congress-2022.2632.

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Reports on the topic "Covid long":

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Mehegan, Laura. The Long Road of Long COVID: Annotated Questionnaire. Washington, DC: AARP Research, May 2022. http://dx.doi.org/10.26419/res.00542.002.

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Chou, Roger, Tracy Dana, Azrah Y. Ahmed, Leah Williams, Eric Herman, Jordan Anderson, Ilya Ivlev, and Shelley Selph. Long COVID Models of Care. Agency for Healthcare Research and Quality (AHRQ), April 2024. http://dx.doi.org/10.23970/ahrqepctb45.

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Background. Long COVID is characterized by persistent, new, or relapsing symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. A standardized and reliable definition is needed to accurately identify patients with long COVID, and a number of models of care have been developed or proposed to provide the services needed to manage this complex condition. Purpose. The purpose of this Technical Brief is to summarize definitions of long COVID and describe what is known about long COVID models of care, including models currently in use, promising approaches, advantages and disadvantages of models in different populations and settings, barriers and facilitators to implementation, access and equity issues, and needed research. Methods. We performed searches in electronic databases from 2021 to November 2023, reviewed reference lists, searched grey literature sources, and interviewed Key Informants. We described key definitions of long COVID, identified components characterizing different long COVID models of care, developed a framework to categorize models based on these components, described representative practice- and systems-based models of care, and identified future research needs. Findings. We identified five definitions for long COVID based on clinical criteria and one proposed definition based on a summary symptom score. Clinical definitions varied with regard to requirement for documenting acute SARS-CoV-2 infection, timing of onset, and duration of symptoms. One newly proposed definition developed using data from people with symptoms for greater than 6 months is based on exceeding a threshold on a composite symptom score and requires further validation. Based on 49 long COVID models of care described in the literature review or by Key Informants, we identified five key principles of long COVID care: (1) core “lead” team; (2) broad multidisciplinary expertise; (3) broad range of diagnostic and therapeutic services; (4) patient-centered, individualized, and equitable care; and (5) capacity to meet demand. Models of care varied with regard to how they addressed these principles. We developed a framework for describing and categorizing long COVID models of care based on seven key components that varied across models: (1) home department or clinical setting; (2) clinical lead; (3) co-location of other specialties; (4) role of primary care; (5) population managed; (6) use of teleservices; and (7) whether the model was practice- or system-based. Using this framework, we described 10 representative practice-based and 3 systems-based long COVID models of care. There was overlap between model components as well as variability within the same model. Across models, implementation strategies addressed multispecialty collaboration, use of systematic intake and assessment methods, care coordination, and education and training of clinic staff. viii Research is needed to understand appropriate methods for measuring quality of care, approaches for providing access to underserved populations, strategies to ensure sustainability, provision of long COVID care in areas lacking multidisciplinary expertise, optimal education and training and care coordination methods, outcomes of long COVID models of care, and strategies for integrating long COVID management into primary care. Decisions about long COVID models of care may best be tailored to address the unique milieu of each implementation setting, leveraging the resources and expertise available. Conclusions. Definitions of long COVID vary and efforts are ongoing to develop a more standardized and reliable definition. A framework based on key model components may be useful to describe and categorize different long COVID models of care. Research is needed to clarify optimal long COVID models of care in different settings and to understand effective strategies for overcoming implementation barriers, including integration of long COVID management in primary care. The models of care presented in this Technical Brief may help inform the individualized implementation of long COVID models of care in different settings.
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Conley, Dalton. Long COVID, Biomarkers, and Health Policy. Milbank Memorial Fund, June 2021. http://dx.doi.org/10.1599/mqop.2021.0602.

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Waters, Tom, and Thomas Wernham. Long COVID and the labour market. The IFS, July 2022. http://dx.doi.org/10.1920/bn.ifs.2022.bn0346.

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Blanchflower, David, and Alex Bryson. Long Covid in the United States. Cambridge, MA: National Bureau of Economic Research, February 2023. http://dx.doi.org/10.3386/w30988.

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Mehegan, Laura. Are COVID and Long COVID "Legitimate" Diagnoses? Not Everyone Thinks So. Washington, DC: AARP Research, June 2023. http://dx.doi.org/10.26419/res.00542.008.

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Adjaye-Gbewonyo, Dzifa, Anjel Vahratian, Perrine, Cria G., and Jeanne Bertolli. Long COVID in Adults: United States, 2022. National Center for Health Statistics (U.S.), September 2023. http://dx.doi.org/10.15620/cdc:132417.

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Vahratian, Anjel, Dzifa Adjaye-Gbewonyo, Jin-Mann S. Lin, and Sharon Saydah. Long COVID Among Children: United States, 2022. National Center for Health Statistics (U.S.), September 2023. http://dx.doi.org/10.15620/cdc:132416.

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Stall, Nathan M., Kevin A. Brown, Aaron Jones, Andrew P. Costa, Vanessa Allen, Adalsteinn D. Brown, Gerald A. Evans, et al. COVID-19 and Ontario’s Long-Term Care Homes. Ontario COVID-19 Science Advisory Table, December 2020. http://dx.doi.org/10.47326/ocsat.2020.01.05.1.0.

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Ontario long-term care (LTC) home residents have experienced disproportionately high morbidity and mortality, both from COVID-19 and from the conditions associated with the COVID-19 pandemic. There are several measures that could be effective in preventing COVID-19 outbreaks, hospitalizations, and deaths in Ontario’s LTC homes, if implemented. First, temporary staffing could be minimized by improving staff working conditions. Second, homes could be further decrowded by a continued disallowance of three- and four-resident rooms and additional temporary housing for the most crowded homes. Third, the risk of SARS-CoV-2 infection in staff could be minimized by approaches that reduce the risk of transmission in communities with a high burden of COVID-19.
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Skufca, Laura. Attitudes Toward Long-Term Care Amid COVID-19. Washington, DC: AARP Research, November 2020. http://dx.doi.org/10.26419/res.00421.001.

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