Complex correlates of Colombia's COVID-19 surge.
Ontology highlight
ABSTRACT:
SUBMITTER: Shultz JM
PROVIDER: S-EPMC8432891 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description: Not available
| S-EPMC7274639 | biostudies-literature
Project description:Background and Purpose:We aimed to investigate the acute stroke presentations during the coronavirus disease 2019 (COVID-19) pandemic.Methods:The data were obtained from a health system with 19 emergency departments in northeast Ohio in the United States. Baseline period from January 1 to March 8, 2020, was compared with the COVID period from March 9, to April 2, 2020. The variables included were total daily stroke alerts across the hospital emergency departments, thrombolysis, time to presentation, stroke severity, time from door-to-imaging, time from door-to-needle in thrombolysis, and time from door-to-puncture in thrombectomy. The 2 time periods were compared using nonparametric statistics and Poisson regression.Results:Nine hundred two stroke alerts during the period across the emergency departments were analyzed. Total daily stroke alerts decreased from median, 10 (interquartile range, 8–13) during baseline period to median, 8 (interquartile range, 4–10, P=0.001) during COVID period. Time to presentation, stroke severity, and time to treatment were unchanged. COVID period was associated with decrease in stroke alerts with rate ratio of 0.70 (95% CI, 0.60–0.28). Thrombolysis also decreased with rate ratio, 0.52 (95% CI, 0.28–0.97) but thrombectomy remained unchanged rate ratio, 0.93 (95% CI, 0.52–1.62)Conclusions:We observed a significant decrease in acute stroke presentations by ?30% across emergency departments at the time of surge of COVID-19 cases. This observation could be attributed to true decline in stroke incidence or patients not seeking medical attention for emergencies during the pandemic.
| S-EPMC7309646 | biostudies-literature
Project description:We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion. Following transfusion, the patient showed fever remission, improved respiratory status, and rapidly decreased viral burden in respiratory fluids and SARS-CoV-2 RNAemia. Longitudinal single-cell transcriptomics of peripheral blood cells conducted prior to and at multiple times after convalescent plasma transfusion identified the key biological processes associated with the transition from severe disease to disease-free state. This included post-transfusion disappearance of a subset of monocytes characterized by hyperactivated Interferon responses and decreased TNF-α signaling.
2022-04-18 | GSE200896 | GEO
Project description:The novel Coronavirus (COVID-19) pandemic has placed an immense strain on health care systems and orthopedic surgeons across the world. To limit the spread, federal and state governments mandated the cancellation of all nonurgent surgical cases to address surging hospital admissions and manage workforce and resource reallocation. During the pandemic surge, thousands of surgical cancellations have been required. We outline our experience through the onset and advance of the surge, detail our incident response and discuss the transition toward recovery. Level of Evidence: Level V.
| S-EPMC7245196 | biostudies-literature
Project description:Rift Valley fever, endemic or emerging throughout most of Africa, causes considerable risk to human and animal health. We report 7 confirmed Rift Valley fever cases, 1 fatal, in Kiruhura District, Uganda, during 2021. Our findings highlight the importance of continued viral hemorrhagic fever surveillance, despite challenges associated with the COVID-19 pandemic.
| S-EPMC9622231 | biostudies-literature
Project description:Given the rapidly changing nature of COVID-19, clinicians and policy makers require urgent review and summary of the literature, and synthesis of evidence-based guidelines to inform practice. The WHO advocates for rapid reviews in these circumstances. The purpose of this rapid guideline is to provide recommendations on the organizational management of intensive care units caring for patients with COVID-19 including: planning a crisis surge response; crisis surge response strategies; triage, supporting families, and staff.
| S-EPMC7276667 | biostudies-literature
Project description: Not available
| S-BSST563 | biostudies-other
Project description:Single-cell RNA-sequencing reveals a shift from focused IFN alpha-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 – a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.
2021-06-18 | GSE178404 | GEO
Project description:ObjectiveHealth system preparedness for coronavirus disease (COVID-19) includes projecting the number and timing of cases requiring various types of treatment. Several tools were developed to assist in this planning process. This review highlights models that project both caseload and hospital capacity requirements over time.MethodsWe systematically reviewed the medical and engineering literature according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We completed searches using PubMed, EMBASE, ISI Web of Science, Google Scholar, and the Google search engine.ResultsThe search strategy identified 690 articles. For a detailed review, we selected 6 models that met our predefined criteria. Half of the models did not include age-stratified parameters, and only 1 included the option to represent a second wave. Hospital patient flow was simplified in all models; however, some considered more complex patient pathways. One model included fatality ratios with length of stay (LOS) adjustments for survivors versus those who die, and accommodated different LOS for critical care patients with or without a ventilator.ConclusionThe results of our study provide information to physicians, hospital administrators, emergency response personnel, and governmental agencies on available models for preparing scenario-based plans for responding to the COVID-19 or similar type of outbreak.
| S-EPMC7643009 | biostudies-literature
Project description:The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A multi-omic approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence viral and host genomes and transcriptomes from nasopharyngeal swabs of 1049 individuals (736 SARS-CoV-2 positive and 313 SARS-CoV-2 negative) and integrate them with digital phenotypes from electronic health records from a diverse catchment area in Northern California. Genome-wide association disaggregated by admixture mapping reveals novel COVID-19-severity-associated regions containing previously reported markers of neurologic, pulmonary and viral disease susceptibility. Phylodynamic tracking of consensus viral genomes reveals no association with disease severity or inferred ancestry. Summary data from multiomic investigation reveals metagenomic and HLA associations with severe COVID-19. The wealth of data available from residual nasopharyngeal swabs in combination with clinical data abstracted automatically at scale highlights a powerful strategy for pandemic tracking, and reveals distinct epidemiologic, genetic, and biological associations for those at the highest risk.
| S-EPMC9426371 | biostudies-literature