Estimates presented here are no longer updated as of 31 March 2022. For more information on the rationale behind this move and some reflections on 2 years of global nowcasting and forecasting, please read our related blog post.
Using data available up to the: 2022-03-30
Subnational and national estimates are available to download here.
See our see Methods or our paper for an explanation of how these estimates are derived.
Estimate | |
---|---|
New confirmed cases by infection date | 27314 (8300 – 105100) |
Expected change in daily cases | Stable |
Effective reproduction no. | 0.94 (0.58 – 1.5) |
Rate of growth | -0.015 (-0.12 – 0.13) |
Doubling/halving time (days) | -46 (5.3 – -5.7) |
Figure 1: A.) Confirmed cases by date of report (bars) and their estimated date of report. B.) Confirmed cases by date of report (bars) and their estimated date of infection. C.) Time-varying estimate of the effective reproduction number (lightest ribbon = 90% credible interval; darker ribbon = the 50% credible interval, darkest ribbon = 20% credible interval). Estimates from existing data are shown up to the 2022-03-30 from when forecasts are shown. These should be considered indicative only. Estimates based on partial data have been adjusted for right truncation of infections. The vertical dashed line indicates the date of report generation. Uncertainty has been curtailed to a maximum of ten times the maximum number of reported cases for plotting purposes.
Figure 2: The results of the latest reproduction number estimates (based on confirmed cases in Brazil, stratified by state, can be summarised by whether confirmed cases are likely increasing or decreasing. This represents the strength of the evidence that the reproduction number in each region is greater than or less than 1, respectively (see the methods for details).
Table 2: Latest estimates (as of the 2022-03-30) of the number of confirmed cases by date of infection, the effective reproduction number, the rate of growth, and the doubling time (when negative this corresponds to the halving time) in each region. The median and 90% credible interval is shown.
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/epiforecasts/covid, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".