BACKGROUND: the inter-cities mobility network serves as a proxy for the SARS-CoV-2 spreading network in a country. OBJECTIVE: to investigate the correspondences between the structure of the mobility network and the emergence of COVID-19 cases in Brazilian cities. METHODS: we adopt the data from the Brazilian Health Ministry and the terrestrial flow of people between cities from the IBGE database in two scales: Brazilian cities without the North region and cities from the Sao Paulo state. Grounded on the complex networks approach, cities are represented as nodes and the flows as edges. Network centrality measures such as strength and degree are ranked and compared to the list of Brazilian cities, ordered according to the day that they confirmed the first case of COVID-19. FINDINGS: The strength presents the best correspondences and the interiorization process of SARS-CoV-2 is captured in the Sao Paulo state when different thresholds are applied to the network flows. MAIN CONCLUSIONS: the strength captures the cities with a higher vulnerability of receiving new cases of COVID-19. Some countryside cities such as Feira de Santana (Bahia state), Ribeirao Preto (Sao Paulo state), and Caruaru (Pernambuco state) have strength comparable to states' capitals, making them potential super spreaders.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.