Longitudinal Case data

In Covid19Wastewater: Prepare, Analyze, and Visualize Covid-19 Wastewater Data

knitr::opts_chunk$set(echo = TRUE, Warning = FALSE, message = FALSE)

Case data

This vignette covers the Case data reported by the Wisconsin Department of Health services. This data covers 150 weeks of daily reports from 63 locations. This has 7 columns where 2 are categorical variables and the other 5 are different reports of Covid spread.

library(Covid19Wastewater)
library(dplyr)
library(ggplot2)

data(Case_data, package = "Covid19Wastewater")

main_plot <- Case_data%>%
  filter(site == "Madison")%>%
  ggplot(aes(x = date), size = .3)+
  geom_point(aes(y = tests + 1, color = "Tests"))+
  geom_point(aes(y = conf_case + 1, color = "Confirmed Cases"))+
  scale_y_log10()+
  theme(plot.title = element_text(hjust = 0.5))+
  labs(y = "Tests / Cases", color = "", title = "Log number of Cases vs Tests", x = "Date")

main_plot

Below is the first 6 rows of the dataset.

Case_data%>%
  head()%>%
  knitr::kable()

This data comes is our most used data that is used in many analysis. A couple of the most used ones are below.

WPHA Poster

SETAC Poster

Covid19Wastewater documentation built on Aug. 25, 2023, 1:07 a.m.