Extracting Temporal-Based Spatial Features in Imbalanced Data for Predicting Dengue Virus Transmission-Reference-Cited by-同舟云学术

Extracting Temporal-Based Spatial Features in Imbalanced Data for Predicting Dengue Virus Transmission

Published:2020-10-28 Issue: Volume: Page:731-742
ISSN:2194-5357
Container-title:Advances in Computer, Communication and Computational Sciences
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Author:

Setiyoutami Arfinda,Anggraeni Wiwik,Purwitasari Diana,Yuniarno Eko Mulyanto,Purnomo Mauridhi Hery

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4409-5_65

Reference25 articles.

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3. J. Ledien et al., An algorithm applied to national surveillance data for the early detection of major dengue outbreaks in Cambodia. PLoS ONE 14(2), 1–11 (2019)

4. T. Shirin et al., Largest dengue outbreak of the decade with high fatality may be due to reemergence of DEN-3 serotype in Dhaka, Bangladesh, necessitating immediate public health attention. New Microbes New Infect. 29, 100511 (2019)

5. A.H. Fagbami, A.B. Onoja, Dengue haemorrhagic fever: An emerging disease in Nigeria, West Africa. J. Infect. Public Health 11(6), 757–762 (2018)

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