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Fixed typo in readme
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examples/covasim_/vaccinating_elderly/README.md

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@@ -7,7 +7,7 @@ the elderly should cause vaccines and vaccinated to decrease (more restrictive p
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are vaccinated), and no change to the maximum doses since this should always be 2.
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This case study directly executes Covasim under two input configurations that differ only in their vaccine input: one
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is the default Pfizer vaccine, the other is the same vaccine but additionally sub-targeting the elderly using a method
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is the default Pfizer vaccine, the other is the same vaccine but additionally sub-targeting the elderly using a method
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provided in the Covasim vaccine tutorial. We execute each of these input configurations 30 times and repeat this for
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four test cases: one focusing on each of the four previously mentioned outputs.
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@@ -17,9 +17,9 @@ Further details are provided in Section 5.3 (Prioritising the elderly for vaccin
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To run this case study:
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1. Ensure all project dependencies are installed by running `pip install .` from the top
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level of this directory (instructions are provided in the project README).
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2. Additionally, in order to run Covasim, install version 3.07 by running `pip install covasim==3.0.7`.
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2. Additionally, in order to run Covasim, install version 3.0.7 by running `pip install covasim==3.0.7`.
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3. Change directory to `causal_testing/examples/covasim_/vaccinating_elderly`.
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4. Run the command `python causal_test_vaccine.py`.
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This will run Covasim as described above and print out the causal test results for the effect of each input on each
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output.
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output.

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