Applications and Comparisons of Four Time Series Models in Epidemiological Surveillance Data
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DOI: 10.1371/journal.pone.0088075
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Cited by:
- Firmino, Paulo Renato Alves & de Sales, Jair Paulino & Gonçalves Júnior, Jucier & da Silva, Taciana Araújo, 2020. "A non-central beta model to forecast and evaluate pandemics time series," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Jerelyn Co & Jason Allan Tan & Ma. Regina Justina Estuar & Kennedy Espina, 2017. "Dengue Spread Modeling in the Absence of Sufficient Epidemiological Parameters: Comparison of SARIMA and SVM Time Series Models," Working papers Conference proceedings The Future of Ethics, Education and Research, October 16-17, 2017 22, Research Association for Interdisciplinary Studies.
- Sinan Keskin & Fatih Külahcı, 2023. "ARIMA model simulation for total electron content, earthquake and radon relationship identification," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(3), pages 1955-1976, February.
- Asmita Mahajan & Nonita Sharma & Silvia Aparicio-Obregon & Hashem Alyami & Abdullah Alharbi & Divya Anand & Manish Sharma & Nitin Goyal, 2022. "A Novel Stacking-Based Deterministic Ensemble Model for Infectious Disease Prediction," Mathematics, MDPI, vol. 10(10), pages 1-15, May.
- Gaetano Perone, 2020. "An ARIMA model to forecast the spread and the final size of COVID-2019 epidemic in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 20/07, HEDG, c/o Department of Economics, University of York.
- Fanyu Meng & Wenwu Gong & Jun Liang & Xian Li & Yiping Zeng & Lili Yang, 2021. "Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-19, March.
- Iman Khosravi & Yaser Jouybari-Moghaddam & Mohammad Reza Sarajian, 2017. "The comparison of NN, SVR, LSSVR and ANFIS at modeling meteorological and remotely sensed drought indices over the eastern district of Isfahan, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1507-1522, July.
- Hadi Bagheri & Leili Tapak & Manoochehr Karami & Zahra Hosseinkhani & Hamidreza Najari & Safdar Karimi & Zahra Cheraghi, 2020. "Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-18, May.
- Sallahuddin Hassan & Zalila Othman, 2018. "Forecasting on the long-term sustainability of the employees provident fund in Malaysia via the Box-Jenkins’ ARIMA model," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 43-53, January.
- Xingyu Zhang & Tao Zhang & Jiao Pei & Yuanyuan Liu & Xiaosong Li & Pau Medrano-Gracia, 2016. "Time Series Modelling of Syphilis Incidence in China from 2005 to 2012," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.
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