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Update header style
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src/penn_chime/locales/en.yml

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@@ -17,14 +17,18 @@ en:
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presentation-header: |+
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<link rel="stylesheet" href="https://www1.pennmedicine.org/styles/shared/penn-medicine-header.css">
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<div class="penn-medicine-header__content">
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<a href="https://www.pennmedicine.org" class="penn-medicine-header__logo"
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title="Go to the Penn Medicine home page">Penn Medicine</a>
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<a id="title" class="penn-medicine-header__title">COVID-19 Hospital Impact Model for Epidemics (CHIME)</a>
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<h3>
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<a href="https://www.pennmedicine.org" class="penn-medicine-header__logo"
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title="Go to the Penn Medicine home page">Penn Medicine</a>
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<a id="title" class="penn-medicine-header__title">COVID-19 Hospital Impact Model for Epidemics (CHIME)</a>
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</h3>
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</div>
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<br />
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presentation-notice: |+
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**Notice**: **CHIME is a modified [SIR](https://mathworld.wolfram.com/SIRModel.html) model of outbreak progression that is limited to short term forecasting
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**Notice**: CHIME is a modified [SIR](https://mathworld.wolfram.com/SIRModel.html) model of outbreak progression that is limited to short term forecasting
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It is only applicable during the period prior to a region’s peak infections, and it accounts only for a single significant social distancing policy.
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Penn Medicine is actively developing [BayesCHIME](https://github.com/pennsignals/chime_sims/blob/master/README.md) to make use of more data and provide probabilistic forecasts beyond peak infections.**
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Penn Medicine is actively developing [BayesCHIME](https://github.com/pennsignals/chime_sims/blob/master/README.md) to make use of more data and provide probabilistic forecasts beyond peak infections.
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presentation-developed-by: |+
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This tool was developed by [Predictive Healthcare](http://predictivehealthcare.pennmedicine.org/) at
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Penn Medicine to assist hospitals and public health officials with hospital capacity planning.

src/penn_chime/view/st_display.py

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@@ -56,12 +56,9 @@ def display_header(st, m, p):
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i18n.t("presentation-header"),
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unsafe_allow_html=True,
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)
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st.markdown(
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i18n.t("presentation-notice")
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)
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st.markdown(
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i18n.t("presentation-developed-by").format(docs_url=DOCS_URL))
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st.markdown(i18n.t("presentation-notice"))
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st.markdown(i18n.t("presentation-developed-by").format(
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docs_url=DOCS_URL))
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st.markdown(
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i18n.t("presentation-estimated-number-of-infection")
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.format(

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