Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
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DOI: 10.1371/journal.pntd.0001648
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- Derek A.T. Cummings & Rafael A. Irizarry & Norden E. Huang & Timothy P. Endy & Ananda Nisalak & Kumnuan Ungchusak & Donald S. Burke, 2004. "Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand," Nature, Nature, vol. 427(6972), pages 344-347, January.
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- Kraisak Kesorn & Phatsavee Ongruk & Jakkrawarn Chompoosri & Atchara Phumee & Usavadee Thavara & Apiwat Tawatsin & Padet Siriyasatien, 2015. "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," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
- Laith Hussain-Alkhateeb & Tatiana Rivera Ramírez & Axel Kroeger & Ernesto Gozzer & Silvia Runge-Ranzinger, 2021. "Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(9), pages 1-25, September.
- Ayu Rahayu & Utari Saraswati & Endah Supriyati & Dian Aruni Kumalawati & Rio Hermantara & Anwar Rovik & Edwin Widyanto Daniwijaya & Iva Fitriana & Sigit Setyawan & Riris Andono Ahmad & Dwi Satria Ward, 2019. "Prevalence and Distribution of Dengue Virus in Aedes aegypti in Yogyakarta City before Deployment of Wolbachia Infected Aedes aegypti," IJERPH, MDPI, vol. 16(10), pages 1-12, May.
- Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
- Barbara Häsler & Paula Dominguez-Salas & Kimberly Fornace & Maria Garza & Delia Grace & Jonathan Rushton, 2017. "Where food safety meets nutrition outcomes in livestock and fish value chains: a conceptual approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 1001-1017, October.
- Carlos A Bravo-Vega & Juan M Cordovez & Camila Renjifo-Ibáñez & Mauricio Santos-Vega & Mahmood Sasa, 2019. "Estimating snakebite incidence from mathematical models: A test in Costa Rica," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 13(12), pages 1-16, December.
- Daniel Adyro Martínez-Bello & Antonio López-Quílez & Alexander Torres-Prieto, 2017. "Bayesian dynamic modeling of time series of dengue disease case counts," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 11(7), pages 1-19, July.
- David C Farrow & Logan C Brooks & Sangwon Hyun & Ryan J Tibshirani & Donald S Burke & Roni Rosenfeld, 2017. "A human judgment approach to epidemiological forecasting," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-19, March.
- Panja, Madhurima & Chakraborty, Tanujit & Nadim, Sk Shahid & Ghosh, Indrajit & Kumar, Uttam & Liu, Nan, 2023. "An ensemble neural network approach to forecast Dengue outbreak based on climatic condition," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
- Oswaldo Santos Baquero & Lidia Maria Reis Santana & Francisco Chiaravalloti-Neto, 2018. "Dengue forecasting in São Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-12, April.
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