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The research specifically explores the impact of stress factors induced by the pandemic, including compulsive checking, socio-economic consequences, danger, and contamination, on individuals\u2019 willingness to adopt remote work arrangements. Data were collected from 586 participants with remote work experience, and the Bayesian analysis revealed that compulsive checking had the most significant positive influence on remote work acceptance, followed by socio-economic consequences, while danger and contamination showed no statistically significant effects. The findings suggest that psychological stress factors related to excessive information seeking and economic instability play a stronger role in influencing remote work decisions than direct health-related concerns. These results provide theoretical contributions by extending technology acceptance models to crisis situations and offer practical insights for organizations aiming to implement effective remote work policies. Specifically, strategies such as psychological support programs, financial stability measures, and clear communication regarding workplace safety can enhance employee well-being and productivity in remote settings. Future research should explore long-term effects of stress factors on remote work sustainability and cross-cultural comparisons in pandemic-related work adaptations.<\/jats:p>","DOI":"10.3390\/covid5020026","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T12:16:37Z","timestamp":1739880997000},"page":"26","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["COVID Stress Factors Affecting Remote Work Acceptance"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3230-4637","authenticated-orcid":false,"given":"Cheong","family":"Kim","sequence":"first","affiliation":[{"name":"Office of Research, aSSIST University, Seoul 03767, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1111\/gwao.13130","article-title":"The flexibility paradox and spatial-temporal dimensions of COVID-19 remote work adaptation among dual-earner mothers and fathers","volume":"32","author":"Parry","year":"2025","journal-title":"Gend. 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Disease symptomatology is extensive, involving mostly predominant respiratory symptoms, as well as those of the nervous, gastrointestinal, circulatory and other systems. Incidence of COVID-19 also results in markedly different laboratory findings on the hemostatic system with the predominant feature of increased D-dimer levels. In the pathogenesis of thromboembolic complications in COVID-19, all elements of Virchow\u2019s triad are involved: endothelial damage, coagulation disorders and blood flow disorders. Coagulopathy increases with the severity of the clinical course of COVID-19. One of the causes of mortality associated with COVID-19 is pulmonary embolism. SARS-CoV-2 infection increases the risk of thromboembolic complications not only in the acute period of the disease. Also in the period of about a month after recovery, there is an increased risk of venous thrombosis and consequently, life-threatening pulmonary embolism. The classic biomarker of pulmonary embolism in the general population is D-dimers. Among imaging studies, the gold standard for diagnosing this disease is computed tomography of the pulmonary arteries (CTPA). Other useful diagnostic tests are ventilation-perfusion lung scintigraphy (VQ Scans) or echocardiography. Currently reviewed guidelines and recommendations recommend extens ive thromboprophylaxis in COVID-19 patients in both acute and chronic phases of the disease.&lt;\/p&gt;\n&lt;p&gt;&lt;strong&gt;Streszczenie.&lt;\/strong&gt;\u00a0COVID-19 jest chorob\u0105 wywo\u0142ywan\u0105 przez wirusa SARS-CoV-2, kt\u00f3ry po wnikni\u0119ciu do \u017cywego organizmu wykorzystuje bia\u0142ko ACE-2 jako receptor oraz kilka innych bia\u0142ek w roli kofaktor\u00f3w zaka\u017cenia. Symptomatologia chorobowa jest bardzo rozleg\u0142a, obejmuje przewa\u017cnie dominuj\u0105ce objawy ze strony uk\u0142adu oddechowego, a tak\u017ce ze strony uk\u0142ad\u00f3w: nerwowego, pokarmowego, kr\u0105\u017cenia i innych. Zachorowanie na COVID-19 powoduje tak\u017ce znaczne odmienno\u015bci bada\u0144 laboratoryjnych w zakresie uk\u0142adu hemostazy z dominuj\u0105c\u0105 cech\u0105 zwi\u0119kszenia st\u0119\u017cenia dimeru D. W patogenezie powik\u0142a\u0144 zakrzepowo-zatorowych w COVID-19 bior\u0105 udzia\u0142 wszystkie elementy triady Virchowa: uszkodzenie \u015br\u00f3db\u0142onka, zaburzenia krzepni\u0119cia oraz zaburzenia przep\u0142ywu krwi. Koagulopatia narasta wraz z ci\u0119\u017cko\u015bci\u0105 przebiegu klinicznego COVID-19. Jedn\u0105 z przyczyn \u015bmiertelno\u015bci zwi\u0105zanej z COVID-19 jest zatorowo\u015b\u0107 p\u0142ucna. Infekcja SARS-CoV-2 zwi\u0119ksza ryzyko powik\u0142a\u0144 zakrzepowo- zatorowych nie tylko w ostrym okresie choroby. R\u00f3wnie\u017c w okresie oko\u0142o miesi\u0105ca po wyzdrowieniu, wyst\u0119puje zwi\u0119kszone ryzyko powstania zakrzepicy \u017cylnej i w konsekwencji, gro\u017anej dla \u017cycia zatorowo\u015bci p\u0142ucnej. Klasycznym biomarkerem zatorowo\u015bci p\u0142ucnej w populacji og\u00f3lnej s\u0105 D-dimery. Spo\u015br\u00f3d bada\u0144 obrazowych, z\u0142otym standardem w rozpoznaniu tej choroby jest tomografia komputerowa t\u0119tnic p\u0142ucnych (CTPA).Innymi przydatnymi badaniami diagnostycznymi s\u0105: wentylacyjno-perfuzyjna scyntygrafia p\u0142uc (VQ Scans) czy badanie echokardiograficzne. Obecnie analizowane wytyczne i zalecenia rekomenduj\u0105 szerok\u0105 profilaktyk\u0119 przeciwzakrzepow\u0105 u chorych na COVID-19 zar\u00f3wno w fazie ostrej jak i przewlek\u0142ej choroby.&lt;\/p&gt;<\/jats:p>","DOI":"10.32394\/pe.77.17","type":"journal-article","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T07:28:35Z","timestamp":1697009315000},"page":"172-184","source":"Crossref","is-referenced-by-count":0,"title":["Pulmonary embolism in patients in acute COVID-19, long-COVID and post-COVID syndrome"],"prefix":"10.32394","volume":"77","author":[{"given":"Piotr","family":"Tomczyk","sequence":"first","affiliation":[]},{"given":"Dominika","family":"Tomczyk","sequence":"additional","affiliation":[]}],"member":"17323","published-online":{"date-parts":[[2023,10,5]]},"container-title":["Przeglad Epidemiologiczny"],"original-title":["Zatorowos\u0107 p\u0142ucna u pacjent\u00f3w w ostrej fazie COVID-19, long-COVID i zespole post-COVID"],"link":[{"URL":"https:\/\/www.przeglepidemiol.pzh.gov.pl\/pdf-181126-101687","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.przeglepidemiol.pzh.gov.pl\/pdf-181126-101687","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T08:42:57Z","timestamp":1709887377000},"score":9.248927,"resource":{"primary":{"URL":"https:\/\/www.przeglepidemiol.pzh.gov.pl\/Pulmonary-embolism-in-patients-in-acute-COVID-19-long-COVID-and-post-COVID-syndrome,181126,0,2.html"}},"issued":{"date-parts":[[2023,10,5]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023]]}},"alternative-id":["181126"],"URL":"https:\/\/doi.org\/10.32394\/pe.77.17","ISSN":["0033-2100","2545-1898"],"issn-type":[{"value":"0033-2100","type":"print"},{"value":"2545-1898","type":"electronic"}],"published":{"date-parts":[[2023,10,5]]}},{"indexed":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T16:55:25Z","timestamp":1671036925976},"reference-count":0,"publisher":"Royal Book Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2020,9,4]]},"DOI":"10.26524\/royal.37.25","type":"book-chapter","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T10:32:38Z","timestamp":1600770758000},"page":"248-253","source":"Crossref","is-referenced-by-count":4,"title":["THE WORLD AFTER COVID -19"],"prefix":"10.26524","author":[{"given":"Najeeb","family":"Ullah","sequence":"first","affiliation":[]}],"member":"11055","published-online":{"date-parts":[[2020,9,4]]},"container-title":["COVID-19 Pandemic update 2020"],"original-title":["THE WORLD AFTER COVID -19"],"deposited":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T17:06:24Z","timestamp":1601399184000},"score":9.243292,"resource":{"primary":{"URL":"http:\/\/royalbookpublishing.com\/index.php\/royal\/catalog\/book\/96"}},"issued":{"date-parts":[[2020,9,4]]},"references-count":0,"URL":"https:\/\/doi.org\/10.26524\/royal.37.25","published":{"date-parts":[[2020,9,4]]}},{"indexed":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T16:56:39Z","timestamp":1692982599102},"reference-count":0,"publisher":"Royal Book Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2020,9,4]]},"DOI":"10.26524\/royal.37.15","type":"book-chapter","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T10:32:38Z","timestamp":1600770758000},"page":"165-175","source":"Crossref","is-referenced-by-count":11,"title":["PSYCHOLOGICAL IMPACT OF COVID-19"],"prefix":"10.26524","author":[{"given":"Divya","family":"Dubey","sequence":"first","affiliation":[]}],"member":"11055","published-online":{"date-parts":[[2020,9,4]]},"container-title":["COVID-19 Pandemic update 2020"],"original-title":["PSYCHOLOGICAL IMPACT OF COVID-19"],"deposited":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T17:06:21Z","timestamp":1601399181000},"score":9.23914,"resource":{"primary":{"URL":"http:\/\/royalbookpublishing.com\/index.php\/royal\/catalog\/book\/86"}},"issued":{"date-parts":[[2020,9,4]]},"references-count":0,"URL":"https:\/\/doi.org\/10.26524\/royal.37.15","published":{"date-parts":[[2020,9,4]]}},{"indexed":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T15:19:37Z","timestamp":1707146377752},"reference-count":0,"publisher":"Royal Book Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2020,9,4]]},"DOI":"10.26524\/royal.37.21","type":"book-chapter","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T06:32:38Z","timestamp":1600756358000},"page":"214-221","source":"Crossref","is-referenced-by-count":3,"title":["MANAGEMENT STRATEGIES OF COVID - 19"],"prefix":"10.26524","author":[{"given":"Nissar","family":"Reshi","sequence":"first","affiliation":[]}],"member":"11055","published-online":{"date-parts":[[2020,9,4]]},"container-title":["COVID-19 Pandemic update 2020"],"original-title":["MANAGEMENT STRATEGIES OF COVID - 19"],"deposited":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T13:06:23Z","timestamp":1601384783000},"score":9.23914,"resource":{"primary":{"URL":"http:\/\/royalbookpublishing.com\/index.php\/royal\/catalog\/book\/92"}},"issued":{"date-parts":[[2020,9,4]]},"references-count":0,"URL":"https:\/\/doi.org\/10.26524\/royal.37.21","published":{"date-parts":[[2020,9,4]]}},{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T23:49:11Z","timestamp":1773791351231,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T00:00:00Z","timestamp":1768694400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Human Disease Continuum Project"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32100739"],"award-info":[{"award-number":["32100739"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["COVID"],"abstract":"<jats:p>Influenza is typically framed as an acute respiratory infection, yet accumulating evidence suggests that\u2014like SARS-CoV-2\u2014it may trigger persistent, multi-organ morbidity consistent with a post-acute infection syndrome (\u201clong flu\u201d). Leveraging the nationwide FinnGen registry infrastructure, we conducted a temporally stratified disease-wide association study (DWAS) to map antecedent risk factors and long-term sequelae following clinically diagnosed influenza and COVID-19. We assembled an exposed cohort comprising 9204 individuals with influenza (ICD-10 J09\u2013J11) and 4258 individuals with COVID-19 (ICD-10 U072) recorded in specialist inpatient\/outpatient care between 1998 and 2021, and an unexposed comparator cohort of 420,005 individuals with no recorded influenza or pneumonia (J09\u2013J18) across their available medical history. Across harmonized clinical endpoints, we fitted age- and sex-adjusted Cox proportional hazards models and controlled for multiple testing using a stringent false discovery rate threshold (FDR-adjusted p &lt; 0.001), further interrogating temporal persistence within 1-, 5-, and 15-year windows. The DWAS revealed that both infections are associated with broad, system-spanning disease signatures extending beyond the respiratory tract, including circulatory, neurological, metabolic, musculoskeletal, digestive, mental\/behavioural, ocular, and oncologic endpoints. Predisposition analyses demonstrated that infection risk is concentrated in individuals with substantial pre-existing multimorbidity, most prominently cardiovascular disease, alongside cardiometabolic, respiratory, renal, neuropsychiatric, and inflammatory conditions. Post-infection analyses identified a durable burden of incident multi-system morbidity after influenza, with particularly robust and persistent cardiovascular and neurological signatures\u2014encompassing thromboembolic disease and major adverse cardiovascular outcomes, as well as migraine, neurodegenerative disorders, and depression\u2014together with metabolic and renal sequelae that, in subsets, extended across multi-year horizons. Collectively, these longitudinal findings reframe influenza as a systemic event embedded within a chronic disease continuum, motivate recognition of \u201clong flu\u201d as a clinically meaningful post-viral risk landscape, and support intensified prevention and risk-stratified surveillance strategies alongside analogous efforts for long COVID.<\/jats:p>","DOI":"10.3390\/covid6010021","type":"journal-article","created":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:23:56Z","timestamp":1768811036000},"page":"21","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Longitudinal Landscape of Long Flu and Long COVID"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3651-7701","authenticated-orcid":false,"given":"Ming","family":"Zheng","sequence":"first","affiliation":[{"name":"Beijing Institute of Basic Medical Sciences, 27 Taiping Road, Beijing 100850, China"},{"name":"Academy of Military Medical Sciences, 27 Taiping Road, Beijing 100850, China"},{"name":"Human Disease Continuum Project Consortium (HDCPC), Beijing, China"},{"name":"The New City of Chang\u2019an, No. 28 Dacheng Road, Fengtai District, Beijing 100141, China"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"S82","DOI":"10.1038\/nm1141","article-title":"Influenza: Old and new threats","volume":"10","author":"Palese","year":"2004","journal-title":"Nat. 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