def render_output_panel(country):
data.process_data(country)
model = Model(data.dtf)
model.forecast()
model.add_deaths(data.mortality)
result = Result(model.dtf)
peak_day, num_max, total_cases_until_today, total_cases_in_30days, active_cases_today, active_cases_in_30days = result.get_panel()
peak_color = "white" if model.today > peak_day else "red"
panel = html.Div([
html.H4(country),
dbc.Card(body=True, className="text-white bg-primary", children=[
html.H6("Total cases until today:", style={"color": "white"}),
html.H3("{:,.0f}".format(total_cases_until_today),
style={"color": "white"}),
html.H6("Total cases in 30 days:", className="text-danger"),
html.H3("{:,.0f}".format(total_cases_in_30days),
className="text-danger"),
html.H6("Active cases today:", style={"color": "white"}),
html.H3("{:,.0f}".format(active_cases_today),
style={"color": "white"}),
html.H6("Active cases in 30 days:", className="text-danger"),
html.H3("{:,.0f}".format(active_cases_in_30days),
className="text-danger"),
html.H6("Peak day:", style={"color": peak_color}),
html.H3(peak_day.strftime("%Y-%m-%d"),
style={"color": peak_color}),
html.H6("with {:,.0f} cases".format(
num_max), style={"color": peak_color})
])
])
return panel
