These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

259 related articles for article (PubMed ID: 33441678)

  • 1. Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques.
    Salim NAM; Wah YB; Reeves C; Smith M; Yaacob WFW; Mudin RN; Dapari R; Sapri NNFF; Haque U
    Sci Rep; 2021 Jan; 11(1):939. PubMed ID: 33441678
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Coupled Statistical and Deterministic Model for Forecasting Climate-Driven Dengue Incidence in Selangor, Malaysia.
    Lu X; Teh SY; Koh HL; Fam PS; Tay CJ
    Bull Math Biol; 2024 May; 86(7):81. PubMed ID: 38805120
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Developing a dengue forecast model using machine learning: A case study in China.
    Guo P; Liu T; Zhang Q; Wang L; Xiao J; Zhang Q; Luo G; Li Z; He J; Zhang Y; Ma W
    PLoS Negl Trop Dis; 2017 Oct; 11(10):e0005973. PubMed ID: 29036169
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Developing a dengue prediction model based on climate in Tawau, Malaysia.
    Jayaraj VJ; Avoi R; Gopalakrishnan N; Raja DB; Umasa Y
    Acta Trop; 2019 Sep; 197():105055. PubMed ID: 31185224
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of significant factors for dengue fever incidence prediction.
    Siriyasatien P; Phumee A; Ongruk P; Jampachaisri K; Kesorn K
    BMC Bioinformatics; 2016 Apr; 17():166. PubMed ID: 27083696
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction.
    Yavari Nejad F; Varathan KD
    BMC Med Inform Decis Mak; 2021 Apr; 21(1):141. PubMed ID: 33931058
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Forecasting dengue fever in Brazil: An assessment of climate conditions.
    Stolerman LM; Maia PD; Kutz JN
    PLoS One; 2019; 14(8):e0220106. PubMed ID: 31393908
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas.
    Kesorn K; Ongruk P; Chompoosri J; Phumee A; Thavara U; Tawatsin A; Siriyasatien P
    PLoS One; 2015; 10(5):e0125049. PubMed ID: 25961289
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rainfall, abundance of Aedes aegypti and dengue infection in Selangor, Malaysia.
    Li CF; Lim TW; Han LL; Fang R
    Southeast Asian J Trop Med Public Health; 1985 Dec; 16(4):560-8. PubMed ID: 3835698
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk.
    Bett B; Grace D; Lee HS; Lindahl J; Nguyen-Viet H; Phuc PD; Quyen NH; Tu TA; Phu TD; Tan DQ; Nam VS
    PLoS One; 2019; 14(11):e0224353. PubMed ID: 31774823
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Effects of Meteorological Factors on Dengue Cases in Malaysia.
    Singh S; Herng LC; Sulaiman LH; Wong SF; Jelip J; Mokhtar N; Harpham Q; Tsarouchi G; Gill BS
    Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682035
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach.
    Dey SK; Rahman MM; Howlader A; Siddiqi UR; Uddin KMM; Borhan R; Rahman EU
    PLoS One; 2022; 17(7):e0270933. PubMed ID: 35857776
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Risk Assessment of Dengue Transmission in Bangladesh Using a Spatiotemporal Network Model and Climate Data.
    Riad MH; Cohnstaedt LW; Scoglio CM
    Am J Trop Med Hyg; 2021 Jan; 104(4):1444-1455. PubMed ID: 33534755
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The effectiveness of MyMAT Aedes mosquito trap in reducing dengue cases.
    Shahar MK; Ismail S; Ahmad R; Omar T
    J Vector Borne Dis; 2022; 59(2):139-144. PubMed ID: 36124479
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan.
    Chuang TW; Chaves LF; Chen PJ
    PLoS One; 2017; 12(6):e0178698. PubMed ID: 28575035
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Climate-based models for understanding and forecasting dengue epidemics.
    Descloux E; Mangeas M; Menkes CE; Lengaigne M; Leroy A; Tehei T; Guillaumot L; Teurlai M; Gourinat AC; Benzler J; Pfannstiel A; Grangeon JP; Degallier N; De Lamballerie X
    PLoS Negl Trop Dis; 2012; 6(2):e1470. PubMed ID: 22348154
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dengue and other Aedes-borne viruses: a threat to Europe?
    Rezza G
    Euro Surveill; 2016 May; 21(21):. PubMed ID: 27254392
    [No Abstract]   [Full Text] [Related]  

  • 19. Aedes larval population dynamics and risk for dengue epidemics in Malaysia.
    Rohani A; Suzilah I; Malinda M; Anuar I; Mohd Mazlan I; Salmah Maszaitun M; Topek O; Tanrang Y; Ooi SC; Rozilawati H; Lee HL
    Trop Biomed; 2011 Aug; 28(2):237-48. PubMed ID: 22041742
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Testing the impact of virus importation rates and future climate change on dengue activity in Malaysia using a mechanistic entomology and disease model.
    Williams CR; Gill BS; Mincham G; Mohd Zaki AH; Abdullah N; Mahiyuddin WR; Ahmad R; Shahar MK; Harley D; Viennet E; Azil A; Kamaluddin A
    Epidemiol Infect; 2015 Oct; 143(13):2856-64. PubMed ID: 25591942
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.