Follow the impact of COVID-19 outbreak in Latin America in real time
Follow the impact of Coronavirus outbreak in Latin America in real time.
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The Coronavirus Impact Dashboard has been created by the IDB and IDB Invest to track in real
time the impact of the coronavirus (also known as COVID-19) on the countries of Latin America
and the Caribbean. The dashboard aims to track a range of variables of interest in order to provide
policymakers, epidemiologists, and the general public in the region with measures of the impact
that “social distancing” restrictions and recommendations due to the coronavirus outbreak are
having on the population and on economic activity.
All the data in the daily and weekly series has been replaced by a new version of the series, because duplicated data was found for specific regions and dates in the data published in 2020. This problem has now been fixed, but there could be differences between the data in this version of the Dashboard and prior version. Data in the latest update of the Dashboard is available only until July 11th, 2021 as internat changes are being made to the process of downloading and storing data. Updated information will become available in Octobre 2021.
In addition, due to unexpected difficulties with downloading and re-processing the data, right now we are not providing TCI changes for the countries of Brazil and Mexico (but we do provide their cities). This will be solved in the next few weeks.
The data was also though to be used by the broad community of researchers, journalists and developers. If you have any ideas or doubts about using the data, do not hesitate to submit an issue.
But first, make sure you understand the data:
The latest version of the data is easily available through the methods below.
By mistake, traffic congestion information for Fortaleza (Brazil) was being reported as Natal (Brazil). This has been solved, and now “Natal” reflects the traffic congestion for that metropolitan area, and Fortaleza data is reported under “Fortaleza”.
Access the sheets
import pandas as pd
daily = pd.read_csv('[daily]')
weekly = pd.read_csv('[weekly]')
metadata = pd.read_csv('[metadata]')
library(readr)
daily<-read_csv('[daily]')
weekly<-read_csv('[weekly]')
metadata<-read_csv('[metadata])
import delimited using "[daily]", clear
import delimited using "[metadata]", clear
import delimited using "[metadata]", clear
You can find materials prepared for Waze for Cities Partnership Partners here.
The way that the pipeline was implemented allow us to query any region in Latin
America. To ask for an specific region(s) of interest please submit an issue.
To cite the IDB and IDB Invest Coronavirus Impact Dashboard, please use the following reference:
Inter-American Development Bank and IDB Invest. “IDB And IDB Invest Coronavirus Impact Dashboard”. 2020. Inter-American Development Bank.www.iadb.org/coronavirus-impact-dashboard
To cite this Methodological Note, please use the following reference:
Inter-American Development Bank and IDB Invest. IDB And IDB Invest Coronavirus Impact Dashboard Methodological Note. Washington, DC: Inter-American Development Bank, 2020.https://iadb-comms.org/coronavirus-impact-dashboard-methodological-note.
Development Effectiveness Division Chiefs
IDB: Carola Alvarez
IDB Invest: Alessandro Maffioli
Technical Team Leaders
IDB: Oscar Mitnik
IDB Invest: Patricia Yañez-Pagans
Technical Team
IDB: João Carabetta, Daniel Martinez, Edgar Salgado, Beatrice Zimmermann, Sonia Mendizabal
IDB Invest: Mattia Chiapello, Luciano Sanguino
Communications Team
IDB: Lina Botero, Andrés Gómez-Peña
IDB Invest: Norah Sullivan
IT Team
IDB: eBFactory
IDB Invest: Maiquel Sampaio de Melo
This work is licensed under a Creative Commons IGO 3.0 - see the LICENSE.md file for details.
This repository reflects the code being used in the most current version of the dashboard at the Traffic Congestion tab.