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Local protection bubbles: an interpretation of the decrease in the velocity of coronavirus's spread in the city of Sao Paulo
Jose Paulo Guedes Pinto; Patricia Camargo Magalhaes; Gerusa Maria Figueiredo; Domingos Alves; Diana Maritza Segura-Angel.
Affiliation
  • Jose Paulo Guedes Pinto; Federal University of ABC (UFABC)
  • Patricia Camargo Magalhaes; University of Bristol
  • Gerusa Maria Figueiredo; University of Sao Paulo
  • Domingos Alves; University of Sao Paulo
  • Diana Maritza Segura-Angel; Army Aviation School, Bogota, Colombia
Preprint in English | medRxiv | ID: ppmedrxiv-20173039
ABSTRACT
After four months of dealing with the pandemic, the city of Sao Paulo entered a phase of relaxed social-distancing measures in July 2020, and saw its social isolation rate fall at the same time as the number of cases, deaths, and hospital bed occupation declined. We use a calibrated multi-agent model to describe these dynamics. We assert here that this phenomenon can be understood as the result of local protective bubbles formed in the citys sub-environments at the same time that there was an exhaustion of contagion networks. Both reduce the velocity of the viruss spread, causing temporary reductions in the epidemic curve, albeit in an unstable equilibrium. These local bubbles can burst anytime and anywhere due to the reintroduction of a few infected people at the same time that there is a reduction in non-pharmaceutical interventions (NPI), such as social-distancing practices. It is important to stress that this hypothesis aligns with the dynamics of the viruss spread observed so far, without needing ad hoc suppositions about natural collective immunity thresholds or heterogeneity in the populations transmission rate, which come with the risk of making mistaken predictions that may could lead to the loss of many lives. The safe way to move ahead is to continue doing all we can to avoid new infections until a vaccine is found that properly and safely creates herd immunity.
License
cc_by_nc
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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