ArticlePloS one2020
Socio-economic urban scaling properties: Influence of regional geographic heterogeneities in Brazil.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Inequities in Dementia Diagnosis: Evidence From the ELSI-Brazil Study.International journal of geriatric psychiatry · 2026Article
- The clock drawing test as a screening tool for detecting cognitive decline: an analysis in adults and elderly people from Natal (RN).Frontiers in human neuroscience · 2026Article
- The potential for dementia prevention in Brazil: a population attributable fraction calculation for 14 modifiable risk factors.Lancet regional health. Americas · 2025Article
- Geographic Distribution and Time Trends of Colorectal Cancer in Brazil from 2005 to 2018.Digestive diseases and sciences · 2022Article
- Time trends and geographic distribution of hepatocellular carcinoma in Brazil: An ecological study.Medicine · 2022Article
- Scaling of mortality in 742 metropolitan areas of the Americas.Science advances · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The recent efforts dedicated to understanding important features and consequences of city growth have profited from the scaling approach to urban indicators. This kind of analysis can be conveniently used to investigate the impact of geo-economic transformations, like fast urbanization and industrial development, which occurred in continental size countries (e.g., India, China, and Brazil) during the past half-century. Profiting from high quality data, this work explores how scaling relationships among urban indicators are influenced by strong regional heterogeneities in Brazil. It is based on economic, infrastructure and violence related data sets for the time interval 2002-2016. Results indicate that regional specificities related to infrastructure, economic development, and geography have a larger influence on the absolute value of the urban indexes. Regional scaling similarities and differences among Brazilian regions were also uncovered. Interesting enough, the results indicate that the richest and poorest Brazilian regions share similar scaling behavior, despite all huge different local influences. By contrast, the results for the two richest regions, with similar average values of urban indexes and the same kind of local influences have rather different scaling properties. Thus, scaling analysis suggests that distinct political solutions might be necessary to improve life's quality, even for two regions with similar average values of urban indicators.
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