library(nowcaster)
library(ggplot2)
library(dplyr)
library(geomtextpath)
dados_by_week <- sragBH |>
rename(date_onset = DT_SIN_PRI) |>
filter(year(date_onset) < 2021) |>
group_by(date_onset) |>
summarise(n=n())
dados_by_week |>
# filter(month(date_onset) < 8) |>
ggplot()+
geom_line(data = dados_by_week,
aes(date_onset,
y = n,
col = 'SARI'), show.legend = FALSE)+
# geom_vline(xintercept = as.Date('2020-02-26'))+
geom_textvline(xintercept = as.Date('2020-02-26'),
label = 'First Covid-19 cases',
angle = 90,
hjust = .9)+
# geom_vline(xintercept = as.Date('2020-03-17'),
# aes(col = 'First death by SARI by of Covid-19'))+
geom_textvline(xintercept = as.Date('2020-03-17'),
label = 'First confirmed Death by SARI',
angle = 90,
hjust = .9)+
theme_bw()+
theme(legend.position = "bottom",
axis.text.x = element_text(angle = 90)) +
scale_color_manual(values = c('grey50', 'black'),
name = '')+
scale_x_date(date_breaks = '2 months',
date_labels = '%V/%y',
name = 'Date [in Weeks]')+
labs(x = '',
y = 'NÂș SARI Hospitalizations',
title = 'Belo Horizonte')
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