BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 23147960)

  • 1. Temporal analysis of the relationship between dengue and meteorological variables in the city of Rio de Janeiro, Brazil, 2001-2009.
    Gomes AF; Nobre AA; Cruz OG
    Cad Saude Publica; 2012 Nov; 28(11):2189-97. PubMed ID: 23147960
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spatial-temporal diffusion of dengue in the municipality of Rio de Janeiro, Brazil, 2000-2013.
    Xavier DR; Magalhães MA; Gracie R; Reis IC; Matos VP; Barcellos C
    Cad Saude Publica; 2017 Mar; 33(2):e00186615. PubMed ID: 28380130
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Meteorological variables and mosquito monitoring are good predictors for infestation trends of Aedes aegypti, the vector of dengue, chikungunya and Zika.
    da Cruz Ferreira DA; Degener CM; de Almeida Marques-Toledo C; Bendati MM; Fetzer LO; Teixeira CP; Eiras ÁE
    Parasit Vectors; 2017 Feb; 10(1):78. PubMed ID: 28193291
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Climate and dengue epidemics in State of Rio de Janeiro].
    Câmara FP; Gomes AF; Santos GT; Câmara DC
    Rev Soc Bras Med Trop; 2009; 42(2):137-40. PubMed ID: 19448929
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Seasonal temperature variation influences climate suitability for dengue, chikungunya, and Zika transmission.
    Huber JH; Childs ML; Caldwell JM; Mordecai EA
    PLoS Negl Trop Dis; 2018 May; 12(5):e0006451. PubMed ID: 29746468
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Time series analysis of dengue incidence in Rio de Janeiro, Brazil.
    Luz PM; Mendes BV; Codeço CT; Struchiner CJ; Galvani AP
    Am J Trop Med Hyg; 2008 Dec; 79(6):933-9. PubMed ID: 19052308
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil.
    Teixeira TR; Cruz OG
    Cad Saude Publica; 2011 Mar; 27(3):591-602. PubMed ID: 21519709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of climate factors and dengue incidence in the metropolitan region of Rio de Janeiro, Brazil.
    Xavier LL; Honório NA; Pessanha JFM; Peiter PC
    PLoS One; 2021; 16(5):e0251403. PubMed ID: 34014989
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Climatic variables associated with dengue incidence in a city of the Western Brazilian Amazon region.
    Duarte JL; Diaz-Quijano FA; Batista AC; Giatti LL
    Rev Soc Bras Med Trop; 2019 Feb; 52():e20180429. PubMed ID: 30810657
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Spatial analysis of dengue and the socioeconomic context of the city of Rio de Janeiro (Southeastern Brazil).
    Almeida AS; Medronho Rde A; Valencia LI
    Rev Saude Publica; 2009 Aug; 43(4):666-73. PubMed ID: 19649472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temporal relationship between environmental factors and the occurrence of dengue fever.
    Horta MA; Bruniera R; Ker F; Catita C; Ferreira AP
    Int J Environ Health Res; 2014; 24(5):471-81. PubMed ID: 24383820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts.
    Lowe R; Barcellos C; Coelho CA; Bailey TC; Coelho GE; Graham R; Jupp T; Ramalho WM; Carvalho MS; Stephenson DB; Rodó X
    Lancet Infect Dis; 2014 Jul; 14(7):619-26. PubMed ID: 24841859
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Seasonal patterns of dengue fever and associated climate factors in 4 provinces in Vietnam from 1994 to 2013.
    Lee HS; Nguyen-Viet H; Nam VS; Lee M; Won S; Duc PP; Grace D
    BMC Infect Dis; 2017 Mar; 17(1):218. PubMed ID: 28320341
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Surveillance of dengue vectors using spatio-temporal Bayesian modeling.
    C Costa AC; Codeço CT; Honório NA; Pereira GR; N Pinheiro CF; Nobre AA
    BMC Med Inform Decis Mak; 2015 Nov; 15():93. PubMed ID: 26566610
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil.
    Luz PM; Codeço CT; Massad E; Struchiner CJ
    Mem Inst Oswaldo Cruz; 2003 Oct; 98(7):871-8. PubMed ID: 14765541
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Explaining the high number of infected people by dengue in Rio de Janeiro in 2008 using a susceptible-infective-recovered model.
    Botari T; Alves SG; Leonel ED
    Phys Rev E Stat Nonlin Soft Matter Phys; 2011 Mar; 83(3 Pt 2):037101. PubMed ID: 21517627
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Geographic and temporal genetic patterns of Aedes aegypti populations in Rio de Janeiro, Brazil.
    da Costa-Ribeiro MC; Lourenço-de-Oliveira R; Failloux AB
    Trop Med Int Health; 2006 Aug; 11(8):1276-85. PubMed ID: 16903890
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The development of an early warning system for climate-sensitive disease risk with a focus on dengue epidemics in Southeast Brazil.
    Lowe R; Bailey TC; Stephenson DB; Jupp TE; Graham RJ; Barcellos C; Carvalho MS
    Stat Med; 2013 Feb; 32(5):864-83. PubMed ID: 22927252
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The risk of dengue for non-immune foreign visitors to the 2016 summer olympic games in Rio de Janeiro, Brazil.
    Ximenes R; Amaku M; Lopez LF; Coutinho FA; Burattini MN; Greenhalgh D; Wilder-Smith A; Struchiner CJ; Massad E
    BMC Infect Dis; 2016 Apr; 16():186. PubMed ID: 27129407
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Lag effect of climatic variables on dengue burden in India.
    Kakarla SG; Caminade C; Mutheneni SR; Morse AP; Upadhyayula SM; Kadiri MR; Kumaraswamy S
    Epidemiol Infect; 2019 Jan; 147():e170. PubMed ID: 31063099
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.