From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway

Detalhes bibliográficos
Autor(a) principal: RIBEIRO,SÉRVIO P.
Data de Publicação: 2021
Outros Autores: REIS,ALEXANDRE B., DÁTTILO,WESLEY, SILVA,ALCIDES V.C. DE CASTRO E, BARBOSA,EDUARDO AUGUSTO G., COURA-VITAL,WENDEL, GÓES-NETO,ARISTÓTELES, AZEVEDO,VASCO A.C., FERNANDES,GERALDO WILSON
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000600701
Resumo: Abstract A second deadlier wave of COVID-19 and the causes of the recent public health collapse of Manaus are compared with the Spanish flu events in that city, and Brazil. Historic sanitarian problems, and its hub position in the Brazilian airway network are combined drivers of deadly events related to COVID-19. These drivers were amplified by misleading governance, highly transmissible variants, and relaxation of social distancing. Several of these same factors may also have contributed to the dramatically severe outbreak of H1N1 in 1918, which caused the death of 10% of the population in seven months. We modelled Manaus parameters for the present pandemic and confirmed that lack of a proper social distancing might select the most transmissible variants. We succeeded to reproduce a first severe wave followed by a second stronger wave. The model also predicted that outbreaks may last for up to five and half years, slowing down gradually before the disease disappear. We validated the model by adjusting it to the Spanish Flu data for the city, and confirmed the pattern experienced by that time, of a first stronger wave in October-November 1918, followed by a second less intense wave in February-March 1919.
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spelling From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gatewaySARS-CoV-2Tropical urban healthEcohealthNative communitiesmodelling disease disseminationManausAbstract A second deadlier wave of COVID-19 and the causes of the recent public health collapse of Manaus are compared with the Spanish flu events in that city, and Brazil. Historic sanitarian problems, and its hub position in the Brazilian airway network are combined drivers of deadly events related to COVID-19. These drivers were amplified by misleading governance, highly transmissible variants, and relaxation of social distancing. Several of these same factors may also have contributed to the dramatically severe outbreak of H1N1 in 1918, which caused the death of 10% of the population in seven months. We modelled Manaus parameters for the present pandemic and confirmed that lack of a proper social distancing might select the most transmissible variants. We succeeded to reproduce a first severe wave followed by a second stronger wave. The model also predicted that outbreaks may last for up to five and half years, slowing down gradually before the disease disappear. We validated the model by adjusting it to the Spanish Flu data for the city, and confirmed the pattern experienced by that time, of a first stronger wave in October-November 1918, followed by a second less intense wave in February-March 1919.Academia Brasileira de Ciências2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000600701Anais da Academia Brasileira de Ciências v.93 suppl.3 2021reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202120210431info:eu-repo/semantics/openAccessRIBEIRO,SÉRVIO P.REIS,ALEXANDRE B.DÁTTILO,WESLEYSILVA,ALCIDES V.C. DE CASTRO EBARBOSA,EDUARDO AUGUSTO G.COURA-VITAL,WENDELGÓES-NETO,ARISTÓTELESAZEVEDO,VASCO A.C.FERNANDES,GERALDO WILSONeng2021-08-05T00:00:00Zoai:scielo:S0001-37652021000600701Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2021-08-05T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
title From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
spellingShingle From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
RIBEIRO,SÉRVIO P.
SARS-CoV-2
Tropical urban health
Ecohealth
Native communities
modelling disease dissemination
Manaus
title_short From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
title_full From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
title_fullStr From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
title_full_unstemmed From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
title_sort From Spanish Flu to Syndemic COVID-19: long-standing sanitarian vulnerability of Manaus, warnings from the Brazilian rainforest gateway
author RIBEIRO,SÉRVIO P.
author_facet RIBEIRO,SÉRVIO P.
REIS,ALEXANDRE B.
DÁTTILO,WESLEY
SILVA,ALCIDES V.C. DE CASTRO E
BARBOSA,EDUARDO AUGUSTO G.
COURA-VITAL,WENDEL
GÓES-NETO,ARISTÓTELES
AZEVEDO,VASCO A.C.
FERNANDES,GERALDO WILSON
author_role author
author2 REIS,ALEXANDRE B.
DÁTTILO,WESLEY
SILVA,ALCIDES V.C. DE CASTRO E
BARBOSA,EDUARDO AUGUSTO G.
COURA-VITAL,WENDEL
GÓES-NETO,ARISTÓTELES
AZEVEDO,VASCO A.C.
FERNANDES,GERALDO WILSON
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv RIBEIRO,SÉRVIO P.
REIS,ALEXANDRE B.
DÁTTILO,WESLEY
SILVA,ALCIDES V.C. DE CASTRO E
BARBOSA,EDUARDO AUGUSTO G.
COURA-VITAL,WENDEL
GÓES-NETO,ARISTÓTELES
AZEVEDO,VASCO A.C.
FERNANDES,GERALDO WILSON
dc.subject.por.fl_str_mv SARS-CoV-2
Tropical urban health
Ecohealth
Native communities
modelling disease dissemination
Manaus
topic SARS-CoV-2
Tropical urban health
Ecohealth
Native communities
modelling disease dissemination
Manaus
description Abstract A second deadlier wave of COVID-19 and the causes of the recent public health collapse of Manaus are compared with the Spanish flu events in that city, and Brazil. Historic sanitarian problems, and its hub position in the Brazilian airway network are combined drivers of deadly events related to COVID-19. These drivers were amplified by misleading governance, highly transmissible variants, and relaxation of social distancing. Several of these same factors may also have contributed to the dramatically severe outbreak of H1N1 in 1918, which caused the death of 10% of the population in seven months. We modelled Manaus parameters for the present pandemic and confirmed that lack of a proper social distancing might select the most transmissible variants. We succeeded to reproduce a first severe wave followed by a second stronger wave. The model also predicted that outbreaks may last for up to five and half years, slowing down gradually before the disease disappear. We validated the model by adjusting it to the Spanish Flu data for the city, and confirmed the pattern experienced by that time, of a first stronger wave in October-November 1918, followed by a second less intense wave in February-March 1919.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000600701
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000600701
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202120210431
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.93 suppl.3 2021
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
instacron:ABC
instname_str Academia Brasileira de Ciências (ABC)
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institution ABC
reponame_str Anais da Academia Brasileira de Ciências (Online)
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