Researcher @ipeaonline | PhD @TSUOxford | Structured procrastination on Cities, Spatial data science, R, Transport equity, Accessibility, Urban mobility
Dec 16, 2022 • 19 tweets • 9 min read
Em 2022, pela 1ÂŞ vez quase metade dos eleitores brasileiros (75.8 mi em 379 municĂpios) tiveram direito ao passe livre no transporte pĂşblico (PL) no dia da eleição. Qual foi o impacto do #PasseLivrePelaDemocracia? A gente responde esta pergunta nesse novo estudo. Segue o fio: 🧵
No estudo, a gente analisa como a adoção do PL no 1Âş e 2Âş turno das eleições presidenciais de 2022 impactaram o comparecimento nas urnas, o resultado das eleições e o nĂvel de mobilidade nas cidades.
đź”–Preprint do artigo: osf.io/fzwgq/
Happy to share our new paper in @socscimed examining spatial, social + racial inequalities in access to #COVID19 healthcare in Brazil using a new balanced floating catchment area approach. I'll soon share a🧶with key findings. Like or RT to stay tuned sciencedirect.com/science/articl…
Many studies have examined how human mobility patterns influenced the spread of the #covid19 or how the pandemic halted mobility. Much less attention has been given to issues of access to covid19 healthcare and to hospitals’ response capacity in urban areas 2/13
Dec 14, 2020 • 17 tweets • 10 min read
New study preprint analyzing the "Social and racial inequalities in #COVID19 risk of hospitalisation and death across Sao Paulo state, Brazil" medrxiv.org/content/10.110… Another study by the @CaddeProject team, this one co-led by @sabrinalyli@CarlosPrete1 and I.
🧶with main results
We combine epidemiological, serological, household survey, NPI & mobility data to 1) Estimate the social and racial inequalities in the risk of hospitalization and death by #COVID19, and 2) Show how vulnerability to COVID is shaped by preexisting social and health inequalities
O lançamento inclui:
+ análise das desigualdades de acesso a oportunidades nas 20 maiores cidades do paĂs
+ mapa interativo
+ base de dados c/ resultados
+ scripts em #rstats do projeto
The #geobr package in #rstats is probably the easiest and fastest way to download shapefiles and official spatial data sets of Brazil.
👉 github.com/ipeaGIT/geobr
This thread will periodically bring news with updates of the package. RT or Like it to stay tuned!
New data: today we added historical shapefiles of states and municipalities for the years 1872, 1900, 1911, 1920, 1933, 1940, 1950, 1960, 1970, 1980, 1991 (request of @antrologos). Easy access e.g. `read_state(year=1872)` and `read_municipality(year=1940)`