Coronavirus Traffic Congestion Impact in Latin America with Waze Data

Follow the impact of Coronavirus outbreak in Latin America in real time.

Go to dashboard: ENGLISH ESPAÑOL

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.

⚠️ We are facing internal technical issues which caused the data to stop updating on July 15th. We are working to get back with up-to-date data as soon as possible.

Use the data

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:

• Data Dictionary
• The Methodological Note will also continuously track and update methodological changes (when necessary) and changes/additions to data sources. The version of the Methodological Note and its date of creation are shown at the top of the document.

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".

Download Manually

• daily
• weekly
• metadata

Access the sheets

Python

import pandas as pd

daily = pd.read_csv('http://tiny.cc/idb-traffic-daily')
weekly = pd.read_csv('http://tiny.cc/idb-traffic-weekly')
metadata = pd.read_csv('http://tiny.cc/idb-traffic-metadata')

R

library(readr)

daily<-read_csv('http://tiny.cc/idb-traffic-daily')
weekly<-read_csv('http://tiny.cc/idb-traffic-weekly')
metadata<-read_csv('http://tiny.cc/idb-traffic-metadata')

Stata

import delimited using "http://tiny.cc/idb-traffic-daily", clear
import delimited using "http://tiny.cc/idb-traffic-weekly", clear
import delimited using "http://tiny.cc/idb-traffic-medata", clear

Waze for Cities Partners

You can find materials prepared for Waze for Cities Partnership Partners here.

• TCI Percentage Variation Tutorial

Ask for a specific region

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.

Click here to request regions

Don't forget to cite us :)

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.

Team

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

• 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

License

This work is licensed under a Creative Commons IGO 3.0 - see the LICENSE.md file for details.

Acknowledgments

• This README was adapted from A template to make good README.md
• The structure of this repository was adapted from Fast Project Templates

About

This repository reflects the code being used in the most current version of the dashboard at the Traffic Congestion tab.