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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 41 |
1 files changed, 26 insertions, 15 deletions
@@ -8,21 +8,32 @@ reproduction number (*R*<sub>0</sub>)](https://en.wikipedia.org/wiki/Basic_reproduction_number) of infectious diseases. -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). +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. +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 -(SI)](https://en.wikipedia.org/wiki/Serial_interval). -This table can be exported as a .csv file. +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 +(SI)](https://en.wikipedia.org/wiki/Serial_interval). This table can be +exported as a .csv file. -In progress... +In progress… |