Determining Dengue Outbreak Using Predictive Models
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12641-3_18
Reference21 articles.
1. Andrick, B., Clark, B., Nygaard, K., Logar, A., Penaloza, M., Welch, R.: Infectious disease and climate change: detecting contributing factors and predicting future outbreaks. In: 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings, IGARSS 1997. Remote Sensing - A Scientific Vision for Sustainable Development, Singapore, vol. 4, pp. 1947–1949 (1997). https://doi.org/10.1109/IGARSS.1997.609159
2. Nan, J., et al.: Using climate factors to predict the outbreak of dengue fever. In: 2018 7th International Conference on Digital Home (ICDH), Guilin, China, pp. 213–218 (2018). https://doi.org/10.1109/ICDH.2018.00045
3. Ebi, K.L., Nealon, J.: Dengue in a changing climate. Environ. Res. 151, 115–123 (2016). ISSN 0013-9351
4. Mishra, V.K., Tiwari, N., Ajaymon, S.L.: Dengue disease spread prediction using twofold linear regression. In: 2019 IEEE 9th International Conference on Advanced Computing (IACC), Tiruchirappalli, India, pp. 182–187 (2019). https://doi.org/10.1109/IACC48062.2019.8971567
5. Anggraeni, W., Aristiani, L.: Using Google Trend data in forecasting number of dengue fever cases with ARIMAX method case study: Surabaya, Indonesia. In: 2016 International Conference on Information & Communication Technology and Systems (ICTS), Surabaya, pp. 114–118 (2016). https://doi.org/10.1109/ICTS.2016.7910283
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