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 *

235 related articles for article (PubMed ID: 18460204)

  • 1. Models for short term malaria prediction in Sri Lanka.
    Briët OJ; Vounatsou P; Gunawardena DM; Galappaththy GN; Amerasinghe PH
    Malar J; 2008 May; 7():76. PubMed ID: 18460204
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of temporal modelling for forecasting and prediction of malaria infections using time-series and ARIMAX analyses: a case study in endemic districts of Bhutan.
    Wangdi K; Singhasivanon P; Silawan T; Lawpoolsri S; White NJ; Kaewkungwal J
    Malar J; 2010 Sep; 9():251. PubMed ID: 20813066
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generalized seasonal autoregressive integrated moving average models for count data with application to malaria time series with low case numbers.
    Briët OJ; Amerasinghe PH; Vounatsou P
    PLoS One; 2013; 8(6):e65761. PubMed ID: 23785448
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Temporal correlation between malaria and rainfall in Sri Lanka.
    Briët OJ; Vounatsou P; Gunawardena DM; Galappaththy GN; Amerasinghe PH
    Malar J; 2008 May; 7():77. PubMed ID: 18460205
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A forecasting model for dengue incidence in the District of Gampaha, Sri Lanka.
    Withanage GP; Viswakula SD; Nilmini Silva Gunawardena YI; Hapugoda MD
    Parasit Vectors; 2018 Apr; 11(1):262. PubMed ID: 29690906
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Application of ARIMA model to predict number of malaria cases in China].
    Hui-Yu H; Hua-Qin S; Shun-Xian Z; Lin AI; Yan LU; Yu-Chun C; Shi-Zhu LI; Xue-Jiao T; Chun-Li Y; Wei HU; Jia-Xu C
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2017 Aug; 29(4):436-440. PubMed ID: 29508575
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Malaria Risk Stratification and Modeling the Effect of Rainfall on Malaria Incidence in Eritrea.
    Kifle MM; Teklemariam TT; Teweldeberhan AM; Tesfamariam EH; Andegiorgish AK; Azaria Kidane E
    J Environ Public Health; 2019; 2019():7314129. PubMed ID: 31061663
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Time series models for prediction of leptospirosis in different climate zones in Sri Lanka.
    Warnasekara J; Agampodi S; Abeynayake R R
    PLoS One; 2021; 16(5):e0248032. PubMed ID: 33989292
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Time series analysis of leishmaniasis incidence in Sri Lanka: evidence for humidity-associated fluctuations.
    Wijerathna T; Gunathilaka N
    Int J Biometeorol; 2023 Feb; 67(2):275-284. PubMed ID: 36378349
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Epochal changes in the association between malaria epidemics and El Niño in Sri Lanka.
    Zubair L; Galappaththy GN; Yang H; Chandimala J; Yahiya Z; Amerasinghe P; Ward N; Connor SJ
    Malar J; 2008 Jul; 7():140. PubMed ID: 18652697
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Application of ARIMA model on prediction of malaria incidence].
    Jing X; Hua-Xun Z; Wen L; Su-Jian P; Ling-Cong S; Xiao-Rong D; Mu-Min C; Dong-Ni W; Shunxiang C
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2016 Jan; 28(2):135-140. PubMed ID: 29469288
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
    Kuan MM
    PeerJ; 2022; 10():e13117. PubMed ID: 36164599
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Forecasting paediatric malaria admissions on the Kenya Coast using rainfall.
    Karuri SW; Snow RW
    Glob Health Action; 2016; 9():29876. PubMed ID: 26842613
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Study on the feasibility for ARIMA model application to predict malaria incidence in an unstable malaria area].
    Zhu JM; Tang LH; Zhou SS; Huang F
    Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi; 2007 Jun; 25(3):232-6. PubMed ID: 18038786
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Seasonal autoregressive integrated moving average (SARIMA) time-series model for milk production forecasting in pasture-based dairy cows in the Andean highlands.
    Perez-Guerra UH; Macedo R; Manrique YP; Condori EA; Gonzáles HI; Fernández E; Luque N; Pérez-Durand MG; García-Herreros M
    PLoS One; 2023; 18(11):e0288849. PubMed ID: 37972120
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Seasonality and Trend Forecasting of Tuberculosis Incidence in Chongqing, China.
    Liao Z; Zhang X; Zhang Y; Peng D
    Interdiscip Sci; 2019 Mar; 11(1):77-85. PubMed ID: 30734907
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best.
    Abeku TA; de Vlas SJ; Borsboom G; Teklehaimanot A; Kebede A; Olana D; van Oortmarssen GJ; Habbema JD
    Trop Med Int Health; 2002 Oct; 7(10):851-7. PubMed ID: 12358620
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Malaria seasonality and rainfall seasonality in Sri Lanka are correlated in space.
    Briët OJ; Vounatsou P; Amerasinghe PH
    Geospat Health; 2008 May; 2(2):183-90. PubMed ID: 18686267
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Forecasting malaria incidence based on monthly case reports and environmental factors in Karuzi, Burundi, 1997-2003.
    Gomez-Elipe A; Otero A; van Herp M; Aguirre-Jaime A
    Malar J; 2007 Sep; 6():129. PubMed ID: 17892540
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.