Noteworthily, the present analysis does not rely on any speculative theoretical assumption it is solely based on raw epidemiological data. Motivated by this evolution, in this paper we investigate the time dynamics of coronavirus cases in Slovenia with emphasis on how efficient various containment measures act to diminish the number of COVID-19 infections. The fact that, soon afterwards, on May 15, 2020, the two million people Slovenia was the first European country proclaiming the end of COVID-19 epidemic within national borders may be relevant from this perspective. ficiently mitigate the spread of SARS-CoV-2 virus. Properly designed and timely executed studies using probability-based samples combined with routine target-testing figures provide reliable data that can be used to make informed decisions on relaxing or strengthening disease mitigation strategies.Ī recent work (DOI 10.1101/2020.3310) indicated that temporarily splitting larger populations into smaller groups can ef. Conclusions The low prevalence of active COVID-19 infections found in this study accurately predicted the dynamics of the epidemic in Slovenia over the subsequent month. No newly diagnosed infections occurred in the cohort during the first 3-week follow-up round. Two of 1366 participants tested positive for SARS-CoV-2 RNA (prevalence 0.15% posterior mean 0.18%, 95% Bayesian confidence interval 0.03–0.47 95% highest density region (HDR) 0.01–0.41). Results A total of 1368 individuals (46%) consented to participate and completed the questionnaire. After 3 weeks, participants were interviewed for the presence of COVID-19–compatible clinical symptoms and signs, including in household members, and offered immediate testing for SARS-CoV-2 RNA if indicated. Each participant filled in a detailed baseline questionnaire with basic sociodemographic data and detailed medical history compatible with COVID-19. SARS-CoV-2 RNA was detected in nasopharyngeal samples using the cobas 6800 SARS-CoV-2 assay. Methods A probability-based sample of the Slovenian population comprising data from 2.1 million people was selected from the Central Population Register (n = 3000). Baseline SARS-CoV-2 RNA testing results and the first 3-week follow-up results are presented. We conducted the first nationwide population study using a probability-based sample to assess active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, combined with a longitudinal follow-up of the entire cohort over the next 6 months. The display (used in the display element of a Coding).Abstract Objectives Accurate population-level assessment of the coronavirus disease 2019 (COVID-19) burden is fundamental for navigating the path forward during the ongoing pandemic, but current knowledge is scant.
FFX HI RISK PROBABILITY CODE
The code (used as the code in the resource instance) The source of the definition of the code (when the value set draws in codes defined elsewhere) In this scheme, some codes are under other codes, and imply that the code they are under also applies The specified outcome is effectively guaranteed.Įxplanation of the columns that may appear on this page:Ī few code lists that FHIR defines are hierarchical - each code is assigned a level. The specified outcome is more likely to occur than not. The specified outcome has a reasonable likelihood of occurrence. The specified outcome is possible but unlikely. The specified outcome is exceptionally unlikely. Expansion based on Risk Probability v0.1.0 (CodeSystem)Īll codes in this table are from the system Code
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