A5029925349- COVID-19 epidemiological studies
- COVID-19 and healthcare impacts
- COVID-19 Clinical Research Studies
- Computational and Text Analysis Methods
- Intramuscular injections and effects
- Social Media in Health Education
- Artificial Intelligence in Healthcare and Education
- Academic Publishing and Open Access
- Platelet Disorders and Treatments
- Heparin-Induced Thrombocytopenia and Thrombosis
- Data-Driven Disease Surveillance
Uppsala University
2024
Datarobot (United States)
2021
Background The COVID-19 pandemic has spread at an alarming speed, and effective treatment for the disease is still lacking. body of evidence on been increasing impressive pace, creating need a method to rapidly assess current knowledge identify key information. Gold standard methods such as systematic reviews meta-analyses are regarded unsuitable because they have narrow scope very time consuming. Objective This study aimed explore published scientific literature map research evolution...
While Coronavirus disease 2019 (COVID-19) vaccines have proven to be both effective and generally safe, rare but severe adverse events following immunization (AEFIs) are described. Autoantibodies platelet factor-4 associated with catastrophic thrombotic AEFIs, comprehensive investigations of other autoantibodies lacking. We aimed detect describe targeting coagulation-related proteins in a population-wide cohort (SWEDEGENE) including AEFIs attributed COVID-19 Sweden. Subjects were recruited...
<sec> <title>BACKGROUND</title> The COVID-19 pandemic has spread at an alarming speed, and effective treatment for the disease is still lacking. body of evidence on been increasing impressive pace, creating need a method to rapidly assess current knowledge identify key information. Gold standard methods such as systematic reviews meta-analyses are regarded unsuitable because they have narrow scope very time consuming. </sec> <title>OBJECTIVE</title> This study aimed explore published...
<sec> <title>UNSTRUCTURED</title> No abstract </sec>