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Severe airport sanitarian control could slow down the spreading of COVID-19 pandemics in Brazil.
Ribeiro, Sérvio Pontes; Castro E Silva, Alcides; Dáttilo, Wesley; Reis, Alexandre Barbosa; Góes-Neto, Aristóteles; Alcantara, Luiz Carlos Junior; Giovanetti, Marta; Coura-Vital, Wendel; Fernandes, Geraldo Wilson; Azevedo, Vasco Ariston C.
  • Ribeiro SP; Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
  • Castro E Silva A; Laboratório de Ecohealth, Ecologia de Insetos de Dossel e Sucessão Natural-ICEB, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil.
  • Dáttilo W; Laboratório de Fisiologia de Insetos Hematófagos-DEPAR, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Reis AB; Laboratório da Ciência da Complexidade-Departamento de Física, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
  • Góes-Neto A; Red de Ecoetología, Instituto de Ecología AC, Xalapa, Veracruz, Mexico.
  • Alcantara LCJ; Núcleo de Pesquisas em Ciências Biológicas, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
  • Giovanetti M; Laboratório de Imunopatologia-Departamento de Análises Clínicas-Escola de Farmácia, Universidade Federal de Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
  • Coura-Vital W; Laboratório de Biologia Molecular e Computacional de Fungos-Departamento de Microbiologia-ICB, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
  • Fernandes GW; Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Rio de Janeiro, Brazil.
  • Azevedo VAC; Laboratório de Genética Celular e Molecular-Departamento de Genética, Ecologia & Evolução-ICB, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
PeerJ ; 8: e9446, 2020.
Article in English | MEDLINE | ID: covidwho-628079
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT

BACKGROUND:

We investigated a likely scenario of COVID-19 spreading in Brazil through the complex airport network of the country, for the 90 days after the first national occurrence of the disease. After the confirmation of the first imported cases, the lack of a proper airport entrance control resulted in the infection spreading in a manner directly proportional to the amount of flights reaching each city, following the first occurrence of the virus coming from abroad.

METHODOLOGY:

We developed a Susceptible-Infected-Recovered model divided in a metapopulation structure, where cities with airports were demes connected by the number of flights. Subsequently, we further explored the role of the Manaus airport for a rapid entrance of the pandemic into indigenous territories situated in remote places of the Amazon region.

RESULTS:

The expansion of the SARS-CoV-2 virus between cities was fast, directly proportional to the city closeness centrality within the Brazilian air transportation network. There was a clear pattern in the expansion of the pandemic, with a stiff exponential expansion of cases for all the cities. The more a city showed closeness centrality, the greater was its vulnerability to SARS-CoV-2.

CONCLUSIONS:

We discussed the weak pandemic control performance of Brazil in comparison with other tropical, developing countries, namely India and Nigeria. Finally, we proposed measures for containing virus spreading taking into consideration the scenario of high poverty.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Country/Region as subject: South America / Brazil Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9446

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Country/Region as subject: South America / Brazil Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9446