BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

293 related articles for article (PubMed ID: 30680621)

  • 21. Time-Lagging Interplay Effect and Excess Risk of Meteorological/Mosquito Parameters and Petrochemical Gas Explosion on Dengue Incidence.
    Chang K; Chen CD; Shih CM; Lee TC; Wu MT; Wu DC; Chen YH; Hung CH; Wu MC; Huang CC; Lee CH; Ho CK
    Sci Rep; 2016 Oct; 6():35028. PubMed ID: 27733774
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Time series analysis of dengue incidence in Guadeloupe, French West Indies: forecasting models using climate variables as predictors.
    Gharbi M; Quenel P; Gustave J; Cassadou S; La Ruche G; Girdary L; Marrama L
    BMC Infect Dis; 2011 Jun; 11():166. PubMed ID: 21658238
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model.
    Masrani AS; Nik Husain NR; Musa KI; Yasin AS
    Biomed Res Int; 2021; 2021():3540964. PubMed ID: 34734083
    [TBL] [Abstract][Full Text] [Related]  

  • 24. El Niño Southern Oscillation as an early warning tool for dengue outbreak in India.
    Pramanik M; Singh P; Kumar G; Ojha VP; Dhiman RC
    BMC Public Health; 2020 Oct; 20(1):1498. PubMed ID: 33008350
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of the prediction model for dengue incidence in Can Tho city, a Mekong Delta area in Vietnam.
    Phung D; Huang C; Rutherford S; Chu C; Wang X; Nguyen M; Nguyen NH; Manh CD
    Acta Trop; 2015 Jan; 141(Pt A):88-96. PubMed ID: 25447266
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Forecasting Dengue Hotspots Associated With Variation in Meteorological Parameters Using Regression and Time Series Models.
    Patil S; Pandya S
    Front Public Health; 2021; 9():798034. PubMed ID: 34900929
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Severe Dengue Fever Outbreak in Taiwan.
    Wang SF; Wang WH; Chang K; Chen YH; Tseng SP; Yen CH; Wu DC; Chen YM
    Am J Trop Med Hyg; 2016 Jan; 94(1):193-7. PubMed ID: 26572871
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Intra- and interseasonal autoregressive prediction of dengue outbreaks using local weather and regional climate for a tropical environment in Colombia.
    Eastin MD; Delmelle E; Casas I; Wexler J; Self C
    Am J Trop Med Hyg; 2014 Sep; 91(3):598-610. PubMed ID: 24957546
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Effects of weather factors on dengue fever incidence and implications for interventions in Cambodia.
    Choi Y; Tang CS; McIver L; Hashizume M; Chan V; Abeyasinghe RR; Iddings S; Huy R
    BMC Public Health; 2016 Mar; 16():241. PubMed ID: 26955944
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Climate and non-climate drivers of dengue epidemics in southern coastal ecuador.
    Stewart-Ibarra AM; Lowe R
    Am J Trop Med Hyg; 2013 May; 88(5):971-81. PubMed ID: 23478584
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Modelling the effect of local climatic variability on dengue transmission in Medellin (Colombia) by means of time series analysis].
    Rúa-Uribe GL; Suárez-Acosta C; Chauca J; Ventosilla P; Almanza R
    Biomedica; 2013 Sep; 33 Suppl 1():142-52. PubMed ID: 24652258
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The effects of climate variables on the outbreak of dengue in Queensland 2008-2009.
    Hasan T; Bambrick H
    Southeast Asian J Trop Med Public Health; 2013 Jul; 44(4):613-22. PubMed ID: 24050094
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Measuring the effects of typhoon trajectories on dengue outbreaks in tropical regions of Taiwan: 1998-2019.
    Kao B; Lin CH; Wen TH
    Int J Biometeorol; 2023 Aug; 67(8):1311-1322. PubMed ID: 37266834
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Different responses of dengue to weather variability across climate zones in Queensland, Australia.
    Akter R; Hu W; Gatton M; Bambrick H; Naish S; Tong S
    Environ Res; 2020 May; 184():109222. PubMed ID: 32114157
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A study of the dengue epidemic and meteorological factors in Guangzhou, China, by using a zero-inflated Poisson regression model.
    Wang C; Jiang B; Fan J; Wang F; Liu Q
    Asia Pac J Public Health; 2014 Jan; 26(1):48-57. PubMed ID: 23761588
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Implications of meteorological and physiographical parameters on dengue fever occurrences in Delhi.
    Mala S; Jat MK
    Sci Total Environ; 2019 Feb; 650(Pt 2):2267-2283. PubMed ID: 30292120
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting local dengue transmission in Guangzhou, China, through the influence of imported cases, mosquito density and climate variability.
    Sang S; Yin W; Bi P; Zhang H; Wang C; Liu X; Chen B; Yang W; Liu Q
    PLoS One; 2014; 9(7):e102755. PubMed ID: 25019967
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Epidemiological, clinical and climatic characteristics of dengue fever in Kaohsiung City, Taiwan with implication for prevention and control.
    Chang CJ; Chen CS; Tien CJ; Lu MR
    PLoS One; 2018; 13(1):e0190637. PubMed ID: 29293624
    [TBL] [Abstract][Full Text] [Related]  

  • 39. The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017).
    Polwiang S
    BMC Infect Dis; 2020 Mar; 20(1):208. PubMed ID: 32164548
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A combination of climatic conditions determines major within-season dengue outbreaks in Guangdong Province, China.
    Wang X; Tang S; Wu J; Xiao Y; Cheke RA
    Parasit Vectors; 2019 Jan; 12(1):45. PubMed ID: 30665469
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.