1. Ai-Leen, G. T., & Jin Song, R. (2000). The use of GIS in ovitrap monitoring for dengue control in Singapore. WHO Regional Office for South-East Asia
2. Althouse, B. M., Ng, Y. Y., & Cummings, D. A. (2011). Prediction of dengue incidence using search query surveillance. PLoS Neglected Tropical Diseases, 5(8), e1258.
3. Buczak, A. L., Koshute, P. T., Babin, S. M., Feighner, B. H., & Lewis, S. H. (2012). A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data. BMC Medical Informatics and Decision Making, 12(1), 124.
4. Buczak, A. L., Baugher, B., Babin, S. M., Ramac-Thomas, L. C., Guven, E., Elbert, Y., et al. (2014). Prediction of high incidence of dengue in the Philippines. PLoS Neglected Tropical Diseases, 8(4), e2771.
5. Chen, P., Fu, X., & Goh, R. S. M. (2019). Determining epidemic threshold for dengue incidences in Singapore based on extreme value theory. Presentation at the 11th Mathematical Methods in Reliability S34