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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/39RQ87Q
Repositorydpi.inpe.br/plutao/2011/06.11.02.18.58
Last Update2011:10.17.12.24.07 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2011/06.11.02.18.59
Metadata Last Update2018:06.05.00.01.16 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1371/journal.pntd.0000942
ISSN1935-2727
Labellattes: 6937937220569796 1 MedeirosCaBrSoReMo:2011:InDiPe
Citation KeyMedeirosCaBrSoReMo:2011:InDiPe
TitleModeling the Dynamic Transmission of Dengue Fever: Investigating Disease Persistence
Year2011
MonthJan
Access Date2024, May 16
Secondary TypePRE PI
Number of Files1
Size210 KiB
2. Context
Author1 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
Resume Identifier1
2
3
4
5
6 8JMKD3MGP5W/3C9JGJN
Group1 DPI-OBT-INPE-MCT-BR
Affiliation1 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
Author e-Mail Address1 lccastro@dpi.inpe.br
e-Mail Addresslccastro@dpi.inpe.br
JournalPlos Neglected Tropical Diseases
Volume5
Number1
Pagese942
Secondary MarkA2_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
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsAEDES-AEGYPTI DIPTERA
RIO-DE-JANEIRO
VECTOR-BORNE DISEASES
SCALE-FREE NETWORK
CELLULAR-AUTOMATA
INFECTIOUS-DISEASE
SURVIVAL RATES
CULICIDAE
EPIDEMICS
VIRUS
AbstractBackground: 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Modeling the Dynamic...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/39RQ87Q
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/39RQ87Q
Languageen
Target Fileinfo doi_10.1371_journal.pntd.0000942.htm
User Groupadministrator
lattes
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.40.32 1
sid.inpe.br/bibdigital/2013/09.09.15.05 1
DisseminationWEBSCI; PORTALCAPES.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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