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Definition of persistent areas with increased dengue risk by detecting clusters in populations with differing mobility and immunity in Rio de Janeiro, Brazil

Bibliographic Data

ID5166118
AuthorsJefferson Pereira Caldas Dos Santos (0000-0001-9780-9911, Fundação Oswaldo Cruz), Nildimar Alves Honório (0000-0002-2535-3844, Fundação Oswaldo Cruz), Aline A Nobre (0000-0001-6306-9257, Fundação Oswaldo Cruz)
Year2019
Volume35
Issue12
Pagese00248118-e00248118
Publication date2019-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00248118
PMID31800796
OpenAlexW2989598199
SCIELO_PIDS0102-311X2019001405006
LanguageEN
Citations received6
References cited46

Dengue is a re-emerging arbovirus infection of major epidemiological importance. The detection of dengue clusters is an important epidemiological surveillance strategy, contributing to better allocation of control measures and prioritizing areas that are subject to increased risk of transmission. Studies involving human populations with low mobility are scarce, and the current study thus aims to investigate the presence of persistent dengue clusters in the city of Rio de Janeiro, Brazil, in populations with different mobility and immunity. Epidemiological data on dengue were obtained from the Brazilian Ministry of Health. Areas of increased risk were defined by the space-time scan statistical method and analysis of persistence with use of map algebra. For both study populations, the clusters that were identified did not show spatial concordance, except in years when both presented the same immunological profile. Their persistent clusters were located mostly in the West Zone of city. The clusters of the two study populations only displayed spatial concordance in years with similar immune profiles, which confirms the confounding role of immunity and supports the use of populations with high percentages of susceptible individuals when designing territory-based dengue studies. The space-time similarity between the areas of persistent risk in both populations suggests that the West Zone, a region with disorderly urban growth and low mean income, shows the highest risk of dengue transmission. The definition of persistent dengue clusters contributes to the improvement of dengue control strategies and territorial planning

Biology · Concordance · Confounding · Dengue fever · Environmental health · Geography · Socioeconomics · Transmission (telecommunications) · COVID-19 epidemiological studies · Demography · Epidemiology · Medicine · Mosquito-borne diseases and control · Virology · Zoonotic diseases and public health

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    Open Access•Raiane Fontes De Oliveira, Maria Luiza Félix Marques Kede•Hygeia - Revista Brasileira de…•2023

  • Vulnerabilidade a formas graves de Covid-19

    Open Access•Jefferson Pereira Caldas Dos Santos, Alexandre San Pedro et al.•Cadernos de Saude Publica•2020

  • Arboalvo

    Open Access•Jefferson Pereira Caldas Dos Santos, Hermano Gomes Albuquerque et al.•Cadernos de Saude Publica•2022

  • High-risk spatial clusters for Zika, dengue, and chikungunya in Rio de Janeiro, Brazil

    Open Access•Reinaldo Souza-Santos, Andréa Sobral et al.•Revista de Saúde Pública•2023

  • A Perspective on Inhabited Urban Space

    Open Access•Jefferson Pereira Caldas Dos Santos, Nildimar Alves Honório et al.•International Journal of…•2020

  • Spatial disease clusters

    Open Access•Martin Kulldorff, Neville Nagarwalla•Statistics in Medicine•1995

  • A spatial scan statistic

    Martin Kulldorff•Communications in Statistics -…•1997

  • Dengue, Urbanization and Globalization

    Open Access•Duane J Gubler•Tropical Medicine and Health•2011

  • The global distribution and burden of dengue

    Open Access•Samir Bhatt, Peter W Gething et al.•Nature•2013

  • Hot spot detection and spatio-temporal dispersion of dengue fever in Hanoi, Vietnam

    Open Access•Đỗ Thị Thanh Toàn, Wenbiao Hu et al.•Global Health Action•2013

  • Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

    Open Access•Silvia Carvalho, Mônica De Avelar Figueiredo Mafra Magalhães et al.•Revista de Saúde Pública•2017

  • Spatio-Temporal Diffusion Pattern and Hotspot Detection of Dengue in Chachoengsao Province, Thailand

    Open Access•Phaisarn Jeefoo, Nitin Kumar Tripathi et al.•International Journal of…•2010

  • Climate change and the emergence of vector-borne diseases in Europe

    Open Access•Maha Bouzid, Felipe J Colón‐González et al.•BMC Public Health•2014

  • Spatial point analysis based on dengue surveys at household level in central Brazil

    Open Access•João B Siqueira-Junior, Ivan José Maciel et al.•BMC Public Health•2008

  • Mortalidade por acidentes de transporte terrestre no Brasil na última década

    Open Access•Otaliba Libânio De Morais Neto, Marli De Mesquita Silva Montenegro et al.•Ciência & Saúde Coletiva•2012

  • Dengue viruses in Brazil, 1986-2006

    Open Access•Rita Maria Ribeiro Nogueira, Josélio Maria Galvão de Araújo et al.•Revista Panamericana de Salud…•2007

  • Scanning for Clusters in Space and Time

    Robert Block•Social Science Computer Review•2007

  • Software Review

    Open Access•Richard Block•Social Science Computer Review•2007

  • Determinação de áreas prioritárias para ações de controle da dengue

    Open Access•Ana Paula Da Costa Resendes, Nelson Artur Prado Rodrigues da Silveira et al.•Revista de Saúde Pública•2010

  • Emerging arboviruses and public health challenges in Brazil

    Open Access•Tamara Nunes Lima-Camara•Revista de Saúde Pública•2016

  • Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

    Open Access•Andréa Sobral, Andrea Sobral De Almeida et al.•Revista de Saúde Pública•2009

  • The spatial distribution of Aedes aegypti and Aedes albopictus in a transition zone, Rio de Janeiro, Brazil

    Open Access•Nildimar Alves Honório, Márcia Gonçalves Castro et al.•Cadernos de Saude Publica•2009

  • Difusão espaço-tempo do dengue no Município do Rio de Janeiro, Brasil, no período de 2000-2013

    Open Access•Diego Ricardo Xavier, Mônica De Avelar Figueiredo Mafra Magalhães et al.•Cadernos de Saude Publica•2017

  • From primary care to hospitalization

    Open Access•Gerusa Belo Gibson Dos Santos, Gerusa Gibson et al.•Cadernos de Saude Publica•2013

  • Análises espaciais na identificação das áreas de risco para a esquistossomose mansônica no município de Lauro de Freitas, Bahia, Brasil

    Open Access•Luciana Lobato Cardim, Antônio Sérgio Ferraudo et al.•Cadernos de Saude Publica•2011

  • Espacialização da leishmaniose tegumentar na cidade do Rio de Janeiro

    Open Access•Helia Kawa, Paulo Chagastelles Sabroza•Cadernos de Saude Publica•2002

  • Geoprocessamento, ambiente e saúde

    Open Access•Christovam De Castro Barcellos Neto, Christovam Barcellos et al.•Cadernos de Saude Publica•1996

  • Análise da distribuição espacial de larvas de Aedes aegypti na Ilha do Governador, Rio de Janeiro, Brasil

    Open Access•Reinaldo Souza-Santos, Matheus Dos Santos Carvalho•Cadernos de Saude Publica•2000

  • Chikungunya

    Open Access•Nildimar Alves Honório, Daniel Cardoso Portela Câmara et al.•Cadernos de Saude Publica•2015

Unique citing works6
Citations per year1
Citation span2020 - 2023 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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