Growth rate and acceleration analysis of the COVID-19 pandemic reveals the effect of public health measures in real time

Yuri Tani Utsunomiya; Adam Taiti Harth Utsunomiya; Rafaela Beatriz Pintor Torrecilha; Silvana Cassia Paulan; Marco Milanesi; Jose Fernando Garcia

All analyses presented in this paper were performed using R version 3.4.4 (9) . To visualize the growth rate and acceleration of COVID-19 pandemic, we implemented a simple Shiny (8) dashboard application, which offers an intuitive web interface and allow us to be updated on new cases and the prevalence of COVID-19 worldwide. The application automatically loads the latest case reports from ECDC. Alternatively, users can upload their own data to visualize the growth rate and acceleration of COVID-19 of specific states, provinces, cities or aggregate data from arbitrary territory definitions. For the implementation we used the following packages: shiny v1.4.0 (16), shinydashboard v0.7.1 (17), shinydashboardPlus v0.7.0 (18), readxl v1.3.1 (19) , shinyalert v1.0 (20) , httr v1.4.1 (21) and plotly v4.9.2 (22) , all available on CRAN (Comprehensive R Archive Network, https://cran.r-project.org/). The application can be downloaded from our GitHub repository at https://github.com/adamtaiti/SARS-CoV-2. A live instance of the app will be maintained until the end of the pandemic at https://www.theguarani.com.br/covid-19 .