47 ud af 47 tidsskrifter valgt, søgeord (covid-19) valgt, emner højest 180 dage gamle, sorteret efter nyeste først.
1117 emner vises.
1101
Revisions to Medication Description and Manufacturer
Journal of the American Medical Association, 28.10.2023
Tilføjet 28.10.2023
The Original Investigation titled “Effect of Fluvoxamine vs Placebo on Time to Sustained Recovery in Outpatients With Mild to Moderate COVID-19: A Randomized Clinical Trial,” published on January 12, 2023, was corrected to fix the description of how the medications were distributed and the name of the manufacturer. In the Methods section, under the Interventions subsection, the first sentence should have been “Participants received a 10-day supply of either fluvoxamine or placebo matching fluvoxamine in bottles provided by the manufacturer (Apotex) via direct home delivery from a central pharmacy.” This article was corrected online.
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1102
US Survey: About 7% of Adults, 1% of Children Have Had Long COVID
Journal of the American Medical Association, 28.10.2023
Tilføjet 28.10.2023
More than 3% of US adults had post–COVID-19 condition, or long COVID, at the time of a 2022 National Health Interview Survey, and about 7% reported ever having had the condition, the Centers for Disease Control and Prevention recently announced. A similar trend held for children, with 0.5% having long COVID at the time of the survey and 1.3% ever having had the condition.
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1103
Updates on Therapy for COVID-19 in Ambulatory Patients
Journal of the American Medical Association, 28.10.2023
Tilføjet 28.10.2023
In this Viewpoint, the authors summarize the therapeutic landscape for COVID-19, discuss who is most likely to benefit from treatment, provide an update on managing illness in immunocompromised individuals, and highlight how to improve COVID-19 treatment.
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1104
COVID-19 in the Fall of 2023—Forgotten but Not Gone
Journal of the American Medical Association, 28.10.2023
Tilføjet 28.10.2023
This Viewpoint addresses the state of COVID-19 as of fall 2023 in the US and summarizes key clinical information for health care professionals and patients.
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1105
Practices, perceptions and trust of the public regarding online drug purchasing: a web-based survey from Jordan
Gharaibeh, L., Alameri, M. A., Al-Kabariti, A. Y., Alsa'd, A. A., Abed, A., Karameh, N., Aldeeb, I. D.
BMJ Open, 27.10.2023
Tilføjet 27.10.2023
ObjectivesOnline purchasing, including drugs, increased dramatically in the last decade especially through the COVID-19 pandemic. The aim of this study was to investigate the frequency and attitudes of consumers concerning online drug purchasing and assess their perceptions regarding the benefits and disadvantages. DesignA web-based survey conducted through a self-administered questionnaire that was approved by the Institutional Review Board (IRB) committee, ethical approval number: IRB/Al-Ahliyya Amman University/3/13/2021-2022. Cronbach’s alpha for the attributes of benefits and disadvantages was 0.608 and 0.744, respectively. Primary outcome measures were extent of trust of the public in online drug purchasing using Likert scale. Multivariate linear regression was used to assess predictors of the trust score. SettingsHashemite Kingdom of Jordan. ParticipantsInclusion criteria; residents of the Hashemite Kingdom of Jordan 18 years or older. The questionnaire was distributed through snowball effect via different social media. ResultsA total of 428 participants filled the questionnaire, their average age was 29.7±11.2. Almost all participants, 419 (98.6%) use the internet daily but only 79 (18.6%) participants shop online regularly. Fifty participants (11.8%) purchased drugs online and they had higher benefits score of online purchasing compared with those who did not buy drugs online, 12.5±3.7 and 10.9±3.1, respectively, p=0.002. Participant who purchased drugs online had an increase in trust score of 0.847 compared with those who did not purchase drugs online, p
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1106
Inter-rater reliability of the infectious disease modeling reproducibility checklist (IDMRC) as applied to COVID-19 computational modeling research
BMC Infectious Diseases, 27.10.2023
Tilføjet 27.10.2023
Abstract Background Infectious disease computational modeling studies have been widely published during the coronavirus disease 2019 (COVID-19) pandemic, yet they have limited reproducibility. Developed through an iterative testing process with multiple reviewers, the Infectious Disease Modeling Reproducibility Checklist (IDMRC) enumerates the minimal elements necessary to support reproducible infectious disease computational modeling publications. The primary objective of this study was to assess the reliability of the IDMRC and to identify which reproducibility elements were unreported in a sample of COVID-19 computational modeling publications. Methods Four reviewers used the IDMRC to assess 46 preprint and peer reviewed COVID-19 modeling studies published between March 13th, 2020, and July 30th, 2020. The inter-rater reliability was evaluated by mean percent agreement and Fleiss’ kappa coefficients (κ). Papers were ranked based on the average number of reported reproducibility elements, and average proportion of papers that reported each checklist item were tabulated. Results Questions related to the computational environment (mean κ = 0.90, range = 0.90–0.90), analytical software (mean κ = 0.74, range = 0.68–0.82), model description (mean κ = 0.71, range = 0.58–0.84), model implementation (mean κ = 0.68, range = 0.39–0.86), and experimental protocol (mean κ = 0.63, range = 0.58–0.69) had moderate or greater (κ > 0.41) inter-rater reliability. Questions related to data had the lowest values (mean κ = 0.37, range = 0.23–0.59). Reviewers ranked similar papers in the upper and lower quartiles based on the proportion of reproducibility elements each paper reported. While over 70% of the publications provided data used in their models, less than 30% provided the model implementation. Conclusions: The IDMRC is the first comprehensive, quality-assessed tool for guiding researchers in reporting reproducible infectious disease computational modeling studies. The inter-rater reliability assessment found that most scores were characterized by moderate or greater agreement. These results suggest that the IDMRC might be used to provide reliable assessments of the potential for reproducibility of published infectious disease modeling publications. Results of this evaluation identified opportunities for improvement to the model implementation and data questions that can further improve the reliability of the checklist.
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1107
Kinetics of adaptive immune responses after administering mRNA-Based COVID-19 vaccination in individuals with and without prior SARS-CoV-2 infections
BMC Infectious Diseases, 27.10.2023
Tilføjet 27.10.2023
Abstract Objective We aimed to compare the adaptive immune response in individuals with or without prior SARS-CoV-2 infections following the administration of mRNA-based COVID-19 vaccines. Methods A total of 54 participants with ages ranging from 37 to 56 years old, consisting of 23 individuals without a history of SARS-CoV-2 infection (uninfected group) and 31 individuals with prior infection of SARS-CoV-2 (infected group) who have received two doses of mRNA SARS-CoV-2 vaccines were enrolled in this study. We measured the IFN-γ level upon administration of BNT162b2 (PF) or mRNA-1273 (MO) by QuantiFERON SARS-CoV-2. The production of neutralizing antibodies was evaluated by a surrogate virus neutralization assay, and the neutralizing capacity was assessed by a plaque reduction neutralization test (PRNT50). The immune response was compared between the two groups. Results A significantly higher level of IFN-γ (p
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1108
COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China
Infectious Disease Modelling, 18.08.2023
Tilføjet 18.08.2023
Publication date: Available online 18 August 2023 Source: Infectious Disease Modelling Author(s): Fengying Wei, Ruiyang Zhou, Zhen Jin, Senzhong Huang, Zhihang Peng, Jinjie Wang, Ximing Xu, Xinyan Zhang, Jun Xu, Yao Bai, Xiaoli Wang, Bulai Lu, Zhaojun Wang, Jianguo Xu
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1109
Hypothesis testing of Poisson rates in COVID-19 offspring distributions
Infectious Disease Modelling, 9.08.2023
Tilføjet 9.08.2023
Publication date: Available online 9 August 2023 Source: Infectious Disease Modelling Author(s): Rui Luo
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1110
Expression of the readthrough transcript CiDRE in alveolar macrophages boosts SARS-CoV-2 susceptibility and promotes COVID-19 severity
Immunity, 13.07.2023
Tilføjet 13.07.2023
Publication date: Available online 12 July 2023 Source: Immunity Author(s): Yuichi Mitsui, Tatsuya Suzuki, Kanako Kuniyoshi, Jun Inamo, Kensuke Yamaguchi, Mariko Komuro, Junya Watanabe, Mio Edamoto, Songling Li, Tsukasa Kouno, Seiya Oba, Tadashi Hosoya, Kentaro Masuhiro, Yujiro Naito, Shohei Koyama, Nobuo Sakaguchi, Daron M. Standley, Jay W. Shin, Shizuo Akira, Shinsuke Yasuda
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1111
The effect of non-pharmaceutical interventions on COVID-19 outcomes: A heterogeneous age-related generalisation of the SEIR model
Infectious Disease Modelling, 23.06.2023
Tilføjet 23.06.2023
Publication date: Available online 22 June 2023 Source: Infectious Disease Modelling Author(s): Jorge M. Mendes, Pedro S. Coelho
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1112
An exploration of the relationship between wastewater viral signals and COVID-19 hospitalizations in Ottawa, Canada
Infectious Disease Modelling, 8.06.2023
Tilføjet 8.06.2023
Publication date: Available online 7 June 2023 Source: Infectious Disease Modelling Author(s): K. Ken Peng, Elizabeth M. Renouf, Charmaine B. Dean, X. Joan Hu, Robert Delatolla, Douglas G. Manuel
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1113
Simulation of optimal dose regimens of photoactivated curcumin for antimicrobial resistance pneumonia in COVID-19 patients: A modeling approach
Infectious Disease Modelling, 5.06.2023
Tilføjet 5.06.2023
Publication date: Available online 4 June 2023 Source: Infectious Disease Modelling Author(s): Teerachat Sae-heng, Kesara Na-Bangchang
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1114
Co-dynamics of COVID-19 and TB with COVID-19 vaccination and exogenous reinfection for TB: An optimal control application
Infectious Disease Modelling, 31.05.2023
Tilføjet 31.05.2023
Publication date: Available online 31 May 2023 Source: Infectious Disease Modelling Author(s): Zenebe Shiferaw Kifle, Legesse Lemecha Obsu
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1115
The lockdown and vaccination distribution in Thailand's COVID-19 epidemic: A model study
Infectious Disease Modelling, 29.05.2023
Tilføjet 29.05.2023
Publication date: Available online 28 May 2023 Source: Infectious Disease Modelling Author(s): Sittisede Polwiang
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1116
The relationship between controllability, optimal testing resource allocation, and incubation-latent period mismatch as revealed by COVID-19
Infectious Disease Modelling, 17.05.2023
Tilføjet 17.05.2023
Publication date: Available online 16 May 2023 Source: Infectious Disease Modelling Author(s): Jeffery Demers, William F. Fagan, Sriya Potluri, Justin M. Calabrese
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1117
Immunological imprinting: Understanding COVID-19
Immunity, 19.04.2023
Tilføjet 19.04.2023
Publication date: Available online 19 April 2023 Source: Immunity Author(s): Marios Koutsakos, Ali H. Ellebedy
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