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Elementary spatial structures and dispersion of COVID-19: health geography directing responses to public health emergency in Sao Paulo State, Brazil
Carlos Magno Castelo Branco Fortaleza; Raul Borges Guimarães; Rafael de Castro Catão; Claudia Pio Ferreira; Gabriel Berg de Almeida; Edmur Pugliesi.
Affiliation
  • Carlos Magno Castelo Branco Fortaleza; Botucatu Medical School, São Paulo State University (UNESP)
  • Raul Borges Guimarães; Faculty of Science and Technology, São Paulo State University (UNESP).
  • Rafael de Castro Catão; Federal University of Espirito Santo, Brazil
  • Claudia Pio Ferreira; Botucatu Institute of Biosciences, São Paulo State University (UNESP)
  • Gabriel Berg de Almeida; Botucatu Medical School, São Paulo State University (UNESP), Brazil.
  • Edmur Pugliesi; Faculty of Science and Technology, São Paulo State University(UNESP), Brazil
Preprint in English | medRxiv | ID: ppmedrxiv-20080895
ABSTRACT
Public health policies to contain the spread of COVID-19 rely mainly on non-pharmacological measures. Those measures, especially social distancing, are a challenge for developing countries, such as Brazil. In Sao Paulo, the most populous state in Brazil (45 million inhabitants), most COVID-19 cases up to April 18th were reported in the Capital and metropolitan area. However, the inner municipalities, where 20 million people live, are also at risk. As governmental authorities discuss the loosening of measures for restricting population mobility, it is urgent to analyze the routes of dispersion of COVID-19 in those municipalities. In this ecological study, we use geographical models of population mobility as patterns for spread of SARS-Cov-2 infection. Based on surveillance data, we identify two patterns one by contiguous diffusion from the capital metropolitan area and other that is hierarchical, with long-distance spread through major highways to cities of regional relevance. We also modelled the impact of social distancing strategies in the most relevant cities, and estimated a beneficial effect in each and every setting studied. This acknowledgement can provide real-time responses to support public health strategies.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2020 Document type: Preprint
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