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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/39RQ87Q
Repositóriodpi.inpe.br/plutao/2011/06.11.02.18.58
Última Atualização2011:10.17.12.24.07 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/plutao/2011/06.11.02.18.59
Última Atualização dos Metadados2018:06.05.00.01.16 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1371/journal.pntd.0000942
ISSN1935-2727
Rótulolattes: 6937937220569796 1 MedeirosCaBrSoReMo:2011:InDiPe
Chave de CitaçãoMedeirosCaBrSoReMo:2011:InDiPe
TítuloModeling the Dynamic Transmission of Dengue Fever: Investigating Disease Persistence
Ano2011
MêsJan
Data de Acesso20 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho210 KiB
2. Contextualização
Autor1 Medeiros, Liliam Cesar de Castro
2 Castilho, César Augusto Rodrigues
3 Braga, Cynthia
4 de Souza, Wayner Vieira
5 Regis, Leda
6 Monteiro, Antonio Miguel Vieira
Identificador de Curriculo1
2
3
4
5
6 8JMKD3MGP5W/3C9JGJN
Grupo1 DPI-OBT-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Univ Fed Pernambuco, Dept Matemat, Recife, PE, Brazil
3 Ctr Pesquisa Aggeu Magalhaes, Dept Parasitol, Recife, PE, Brazil
4 Ctr Pesquisa Aggeu Magalhaes, Dept Saude Coletiva, Recife, PE, Brazil
5 Ctr Pesquisa Aggeu Magalhaes, Dept Entomol, Recife, PE, Brazil
6 Inst Nacl Pesquisas Espaciais, Div Processamento Imagens, BR-12201 Sao Jose Dos Campos, Brazil
Endereço de e-Mail do Autor1 lccastro@dpi.inpe.br
Endereço de e-Maillccastro@dpi.inpe.br
RevistaPlos Neglected Tropical Diseases
Volume5
Número1
Páginase942
Nota SecundáriaA2_BIOTECNOLOGIA A1_CIÊNCIAS_BIOLÓGICAS_I A2_CIÊNCIAS_BIOLÓGICAS_II A2_CIÊNCIAS_BIOLÓGICAS_III A1_ECOLOGIA_E_MEIO_AMBIENTE A2_INTERDISCIPLINAR A1_MEDICINA_I A1_MEDICINA_II B2_SAÚDE_COLETIVA
Histórico (UTC)2011-06-11 17:43:42 :: lattes -> marciana :: 2011
2011-11-03 18:43:25 :: marciana -> administrator :: 2011
2018-06-05 00:01:16 :: administrator -> marciana :: 2011
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAEDES-AEGYPTI DIPTERA
RIO-DE-JANEIRO
VECTOR-BORNE DISEASES
SCALE-FREE NETWORK
CELLULAR-AUTOMATA
INFECTIOUS-DISEASE
SURVIVAL RATES
CULICIDAE
EPIDEMICS
VIRUS
ResumoBackground: Dengue is a disease of great complexity, due to interactions between humans, mosquitoes and various virus serotypes as well as efficient vector survival strategies. Thus, understanding the factors influencing the persistence of the disease has been a challenge for scientists and policy makers. The aim of this study is to investigate the influence of various factors related to humans and vectors in the maintenance of viral transmission during extended periods. Methodology/Principal Findings: We developed a stochastic cellular automata model to simulate the spread of dengue fever in a dense community. Each cell can correspond to a built area, and human and mosquito populations are individually monitored during the simulations. Human mobility and renewal, as well as vector infestation, are taken into consideration. To investigate the factors influencing the maintenance of viral circulation, two sets of simulations were performed: (1(st)) varying human renewal rates and human population sizes and (2(nd)) varying the house index (fraction of infested buildings) and vector per human ratio. We found that viral transmission is inhibited with the combination of small human populations with low renewal rates. It is also shown that maintenance of viral circulation for extended periods is possible at low values of house index. Based on the results of the model and on a study conducted in the city of Recife, Brazil, which associates vector infestation with Aedes aegytpi egg counts, we question the current methodology used in calculating the house index, based on larval survey. Conclusions/Significance: This study contributed to a better understanding of the dynamics of dengue subsistence. Using basic concepts of metapopulations, we concluded that low infestation rates in a few neighborhoods ensure the persistence of dengue in large cities and suggested that better strategies should be implemented to obtain measures of house index values, in order to improve the dengue monitoring and control system.
ÁreaSRE
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/J8LNKAN8RW/39RQ87Q
URL dos dados zipadoshttp://urlib.net/zip/J8LNKAN8RW/39RQ87Q
Idiomaen
Arquivo Alvoinfo doi_10.1371_journal.pntd.0000942.htm
Grupo de Usuáriosadministrator
lattes
marciana
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.40.32 1
sid.inpe.br/bibdigital/2013/09.09.15.05 1
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)marciana
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