diff --git a/myanmar--burma-.html b/myanmar--burma-.html deleted file mode 100644 index a29bee1d42c..00000000000 --- a/myanmar--burma-.html +++ /dev/null @@ -1,4848 +0,0 @@ - - - - -
- - - - - - - - - - - -Identifying changes in the reproduction number, rate of spread, and doubling time during the course of the COVID-19 outbreak whilst accounting for potential biases due to delays in case reporting in Myanmar (Burma). These results are impacted by changes in testing effort, increases and decreases in testing effort will increase and decrease reproduction number estimates respectively (see Methods or our paper for further explanation).
-Using data available up to the: 2020-08-29
-Note that it takes time for infection to cause symptoms, to get tested for SARS-CoV-2 infection, for a positive test to return and ultimately to enter the case data presented here. In other words, today’s case data are only informative of new infections about two weeks ago. This is reflected in the plots below, which are by date of infection.
-- | --Estimate - | -
---|---|
-New confirmed cases by infection date - | --152 (8 – 710) - | -
-Expected change in daily cases - | --Increasing - | -
-Effective reproduction no. - | --2.07 (0.99 – 3.31) - | -
-Rate of growth - | --0.26 (0.03 – 0.55) - | -
-Doubling/halving time (days) - | --2.7 (1.3 – 25.5) - | -
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. Light ribbon = 90% credible interval; dark ribbon = the 50% credible interval. Estimates from existing data are shown up to the 2020-08-25 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.
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-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 ...".
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