Ngā hua rapu

Ngā kaupapa kua whakahuatia i roto i tō rapu.
Whakamahine hua
  1. 1
    Making sense of antimicrobial use and resistance surveillance data: application of ARIMA and transfer function models

    Making sense of antimicrobial use and resistance surveillance data: application of ARIMA and transfer function models mā Dominique L Monnet, José-Marı́a López-Lozano, Pilar Campillos, A. Burgos, Alberto Yagüe, Nieves Gonzalo

    I whakaputaina 2001
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Revisão
    Tiaki ki tētahi rārangi
    I tiakina i:
  2. 2
    Incorporating measurement error in n = 1 psychological autoregressive modeling

    Incorporating measurement error in n = 1 psychological autoregressive modeling mā Noémi Katalin Schuurman, Jan Houtveen, Ellen L. Hamaker

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  3. 3
    Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model

    Predicting the incidence of hand, foot and mouth disease in Sichuan province, China using the ARIMA model mā Lei Liu, Rong Sheng Luan, Fei Yin, Xun Zhu, Q Lu

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  4. 4
    Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013

    Seasonality and trend analysis of tuberculosis in Lahore, Pakistan from 2006 to 2013 mā Aasia Khaliq, Syeda Aadila Batool, Muhammad Nawaz Chaudhry

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  5. 5
    Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali

    Modelling malaria incidence with environmental dependency in a locality of Sudanese savannah area, Mali mā Jean Gaudart, Ousmane Touré, Nadine Dessay, Alassane Dicko, Stéphane Ranque, Loïc Forest, Jacques Demongeot, Ogobara K. Doumbo

    I whakaputaina 2009
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  6. 6
    Women's Education Level, Maternal Health Facilities, Abortion Legislation and Maternal Deaths: A Natural Experiment in Chile from 1957 to 2007

    Women's Education Level, Maternal Health Facilities, Abortion Legislation and Maternal Deaths: A Natural Experiment in Chile from 1957 to 2007 mā Elard Koch, John Thorp, Miguel Bravo, Sebastián Gatica, Camila X. Romero, Hernán Aguilera, Ivonne Ahlers

    I whakaputaina 2012
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  7. 7
    Forecasting Daily Emergency Department Visits Using Calendar Variables and Ambient Temperature Readings

    Forecasting Daily Emergency Department Visits Using Calendar Variables and Ambient Temperature Readings mā Izabel Marcílio, Shakoor Hajat, Nélson Gouveia

    I whakaputaina 2013
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  8. 8
    The Effect of Meteorological Variables on the Transmission of Hand, Foot and Mouth Disease in Four Major Cities of Shanxi Province, China: A Time Series Data Analysis (2009-2013)

    The Effect of Meteorological Variables on the Transmission of Hand, Foot and Mouth Disease in Four Major Cities of Shanxi Province, China: A Time Series Data Analysis (2009-2013) mā Junni Wei, Alana Hansen, Qiyong Liu, Yehuan Sun, Philip Weinstein, Peng Bi

    I whakaputaina 2015
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  9. 9
    One-year delayed effect of fog on malaria transmission: a time-series analysis in the rain forest area of Mengla County, south-west China

    One-year delayed effect of fog on malaria transmission: a time-series analysis in the rain forest area of Mengla County, south-west China mā Linwei Tian, Yan Bi, Suzanne C. Ho, Wenjie Liu, Song Liang, William B. Goggins, Emily Ying Yang Chan, Shuisen Zhou, Joseph J.�Y. Sung

    I whakaputaina 2008
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  10. 10
    Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis

    Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis mā Hye Jin Kam, Jin Ok Sung, Rae Woong Park

    I whakaputaina 2010
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  11. 11
    Models for short term malaria prediction in Sri Lanka

    Models for short term malaria prediction in Sri Lanka mā Olivier Briët, Penelope Vounatsou, Gunawardena Dissanayake, Gawrie NL Galappaththy, Priyanie H. Amerasinghe

    I whakaputaina 2008
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  12. 12
    Reduction in Male Suicide Mortality Following the 2006 Russian Alcohol Policy: An Interrupted Time Series Analysis

    Reduction in Male Suicide Mortality Following the 2006 Russian Alcohol Policy: An Interrupted Time Series Analysis mā William Alex Pridemore, Mitchell B. Chamlin, Evgeny M. Andreev

    I whakaputaina 2013
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  13. 13
    Reduction in Suicide Mortality Following a New National Alcohol Policy in Slovenia: An Interrupted Time-Series Analysis

    Reduction in Suicide Mortality Following a New National Alcohol Policy in Slovenia: An Interrupted Time-Series Analysis mā William Alex Pridemore, Aleksandra J. Snowden

    I whakaputaina 2009
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  14. 14
    Comparing Models for Early Warning Systems of Neglected Tropical Diseases

    Comparing Models for Early Warning Systems of Neglected Tropical Diseases mā Luis Fernando Chaves, Mercedes Pascual

    I whakaputaina 2007
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  15. 15
    Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Cases of HFMD in Shenzhen, China

    Application of a New Hybrid Model with Seasonal Auto-Regressive Integrated Moving Average (ARIMA) and Nonlinear Auto-Regressive Neural Network (NARNN) in Forecasting Incidence Case... mā Lijing Yu, Lingling Zhou, Li Tan, Hongbo Jiang, Ying Wang, Sheng Wei, Shaofa Nie

    I whakaputaina 2014
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  16. 16
    A hybrid seasonal prediction model for tuberculosis incidence in China

    A hybrid seasonal prediction model for tuberculosis incidence in China mā Shiyi Cao, Feng Wang, Wilson Tam, Lap Ah Tse, Jean Hee Kim, Junan Liu, Zuxun Lu

    I whakaputaina 2013
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  17. 17
    Weather as an effective predictor for occurrence of dengue fever in Taiwan

    Weather as an effective predictor for occurrence of dengue fever in Taiwan mā Pei-Chih Wu, How‐Ran Guo, Shih‐Chun Candice Lung, Chuan‐Yao Lin, Huey‐Jen Su

    I whakaputaina 2007
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  18. 18
    A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil

    A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil mā Edson Zangiacomí Martínez, Elisângela Aparecida Soares da Silva, Amaury Lélis Dal Fabbro

    I whakaputaina 2011
    Whiwhi kuputuhi katoa Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  19. 19
    Wavelet based time-varying vector autoregressive modelling

    Wavelet based time-varying vector autoregressive modelling mā João Ricardo Sato, Pedro A. Morettin, Paula Ricci Arantes, Edson Amaro

    I whakaputaina 2007
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:
  20. 20
    Forecasting carbapenem resistance from antimicrobial consumption surveillance: Lessons learnt from an OXA-48-producing Klebsiella pneumoniae outbreak in a West London renal unit

    Forecasting carbapenem resistance from antimicrobial consumption surveillance: Lessons learnt from an OXA-48-producing Klebsiella pneumoniae outbreak in a West London renal unit mā Myriam Gharbi, Luke Moore, Mark Gilchrist, Claire Thomas, Kathleen B. Bamford, Eimear Brannigan, Alison Holmes

    I whakaputaina 2015
    Whiwhi kuputuhi katoa
    Artigo
    Tiaki ki tētahi rārangi
    I tiakina i:

Ngā utauta rapu: