Search results
Feb 24, 2022 · The infection–fatality ratio (IFR) is a metric that quantifies the likelihood of an individual dying once infected with a pathogen. Understanding the determinants of IFR variation for COVID-19, the disease caused by the SARS-CoV-2 virus, has direct implications for mitigation efforts with respect to clinical practice, non-pharmaceutical interventions, and the prioritisation of risk groups ...
Disease specifications: reproductive rate, severity Basic Reproductive Rate (R0) is the averagenumber of people infected by one personin a susceptible population. R0 for COVID-19 is estimated to be between 2 and 4 Clinical Onset Interval is the time between onset of symptomsin successive cases in a chain of transmission.
Estimating mortality from COVID -19. Scientific brief 4 August 2020. Background. An important characteristic of an infectious disease, particularly one caused by a novel pathogen like SARS-CoV-2, is its severity, the ultimate measure of which is its ability to cause death . Fatality rates help us understand the severity of a disease, id entify ...
- The infection fatality rate of COVID-19 inferred from seroprevalence data
- Calculation of inferred IFR
- Data synthesis considerations
John P.A. Ioannidis Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
Information on the population of the relevant location was collected from the papers. Whenever it was missing, it was derived based on recent census data trying to approximate as much as possible the relevant catchment area (e.g. region(s) or county(ies)), whenever the study did not pertain to an entire country. Some studies targeted specific age g...
Inspection of the IFR estimates across all locations showed vast heterogeneity with heterogeneity I2 exceeding 99.9% and thus a meta-analysis would be inappropriate to report across all locations. Quantitative synthesis with meta-analysis across all locations would also be misleading since locations with high seroprevalence would tend to carry more...
- 632KB
- 52
Jun 25, 2020 · Thus, 131 deaths by COVID-19 were analysed in 24 854 people-days at risk. When evaluating the Kaplan–Meier survival function, 99.9% of survival probability in the 1st day, 95.1% in the 10th and 89.7% in the 20th was observed. From the 24th day of the disease course, the survival rate has been around 87.7% ( Fig. 1 ).
- G. J. B. Sousa, T. S. Garces, V. R. F. Cestari, R. S. Florêncio, T. M. M. Moreira, M. L. D. Pereira
- 10.1017/S0950268820001405
- 2020
- Epidemiol Infect. 2020; 148: e123.
Feb 24, 2022 · Since the emergence of the COVID-19 pandemic, confirmed cases and cumulative deaths have been the most important numbers released by WHO and raised worldwide attention.1 The two numbers can help to roughly estimate the COVID-19 mortality rate (COVID-19 deaths to population numbers at risk) and case-fatality ratio (COVID-19 deaths to confirmed COVID-19 cases) of a population, although using ...
Case fatality rate (CFR) In the media, it is often the “case fatality rate” that is talked about when the risk of death from COVID-19 is discussed. 1. This measure is sometimes also called case fatality risk or case fatality ratio. It is often abbreviated as CFR. The CFR is not the same as the risk of death for an infected person – even ...
