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| -rw-r--r-- | README.md | 18 |
1 files changed, 17 insertions, 1 deletions
@@ -8,4 +8,20 @@ reproduction number (*R*<sub>0</sub>)](https://en.wikipedia.org/wiki/Basic_reproduction_number) of infectious diseases. -In progress… +Currently, this estimation can be done in the web application via four different methods: +White and Panago (WP), sequential Bayes (seqB), incidence decay (ID), and incidence decay and exponential adjustment (IDEA). + +Datasets can be uploaded as a .csv file, or can be entered manually into the application. +The data is visualized in the application through plots that show the case counts (either weekly or daily). +If multiple datasets are uploaded/manually entered, the trends corresponding to these datasets are populated in the same plot and can be compared. +This plot can be exported as a .png file. +Further, the dataset entered can be exported into a .csv file. +Two sample datasets are included: weekly Canadian COVID-19 case count data from March 3rd, 2020 to March 31st, 2020, and weekly Ontario COVID-19 case count data from March 3rd, 2020 to March 31st, 2020. + +To estimate the basic reproductive number, the user can choose their preferred estimator, and if applicable, must enter the known serial interval prior to estimation. +If multiple estimates of the basic reproductive number are calculated, they are all included in a table where each row represents an estimate. +If multiple datasets are being considered, the basic reproductive number is estimated for all datasets and the columns of the table correspond to the different datasets uploaded into the application. +The table also consists of a column corresponding to the value of the serial interval. +This table can be exported as a .csv file. + +In progress... |