[Brazilian municipalities] <municipalities with high numbers of confirmed cases not covered by the data set>

[michelszklo]

Request content

Regions spreadsheet link: https://docs.google.com/spreadsheets/d/1-C_K6LYD2Qv-TzK9UwnScmcnRKwKiAS2ZFN-7lwg-D4/edit?usp=sharing

I need these regions because:

I'm PhD student on public policy and government at Fundacao Getulio Vargas (Sao Paolo/Brazil) and I am currently working on analyzing the patterns of evolution of confirmed cases at the municipality level in Brazil and relating them to proxies of citizens circulation and economic activity shut down (traffic congestion, pollution satellite data, etc). The idea is to provide the public and policymakers some local evidence of how reducing circulation can help reduce COVID-19 spread. I intend to do this by uploading such an analysis on this website I am already working on.

The areas I am requesting are municipalities among the top 50 in Brazil when it comes to COVID-19 confirmed cases and are still not covered by the dataset. It would really improve the analysis increasing the cross-section dimension of the database.

ALSO, would it be possible to extend this data to days dating before the 8th of march? Ideally, to the 25th of February (day of the first confirmed case in Brazil) It would really help the analysis increasing the data panel time dimension.

Thanks in advance,
Michel Szklo

[JoaoCarabetta]

HI @michelszklo,

Nice to see that you are already planning to use the data!

About your request, we are internally working on measuring the reliability of the data for smaller cities and regions. As you know, Waze is a crowdsourced data which depends on a crowd. If the user base in a city in a region is not big enough, the data can get quite noisy.

This protocol might be developed until the end of this week. I will let you know when it is ready and how we are going to proceed with that.

About the change on the baseline, we choose it to be the 1st week of March because Carnival was still affecting the cities traffic patterns. We may add exceptions is the future to specific cities. I will also let you know if this becomes a possibility.

[michelszklo]

Hi @JoaoCarabetta
Thanks very much for replying. I am waiting for your update.
Regarding the baseline, I have a question: the first week of March was considered a typical week in terms of Trafic Congestion Intensity and the percentage change was calculated based on this baseline?

[JoaoCarabetta]

The percentage change was calculated using the first week of March

On Mon, Mar 30, 2020 at 12:34 PM Michel Szklo ***@***.***> wrote: Hi @JoaoCarabetta <https://github.com/JoaoCarabetta> Thanks very much for replying. I am waiting for your update. Regarding the baseline, I have a question: the first week of March was considered a typical week in terms of Trafic Congestion Intensity and the percentage change was calculated based on this baseline? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AEYJ6VGL4PPSUJ7NV2DIPCLRKC3XVANCNFSM4LWFWSZQ> .

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[michelszklo]

Thanks!

[diegofirmino]

Dear João,

I'm also Brazilian and I'm interested in the data. I saw in the methotology that the data are grouped by metropolitan region. Would it be possible to have a base distinguishing the municipalities that are part of each region? Ibge supplies the shapes of the municipalities.

Best

Diego Firmino

[JoaoCarabetta]

Hi Diego, it is possible to use any shapefile. The constrain is the data quality as mentioned above. We will have a definitive methodology to access if the data is good very soon.

If you are interested in specific cities, please share a .csv as @michelszklo did with the shapefiles that we will evaluate if it is possible to run estimates for them.

Also, what are your plans with this data? Tell us a bit more.

[diegofirmino]

Hi João,

Thanks for the answer. At first, I think of collecting movement data to verify the impacts on some socioeconomic variables, some months after de pandemic. I will provide the .csv with the shapes.

Best