{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:11:41Z","timestamp":1742929901702,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811366604"},{"type":"electronic","value":"9789811366611"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-6661-1_14","type":"book-chapter","created":{"date-parts":[[2019,2,15]],"date-time":"2019-02-15T10:58:46Z","timestamp":1550228326000},"page":"175-186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Statistical Models of Dengue Fever"],"prefix":"10.1007","author":[{"given":"Hamilton","family":"Link","sequence":"first","affiliation":[]},{"given":"Samuel N.","family":"Richter","sequence":"additional","affiliation":[]},{"given":"Vitus J.","family":"Leung","sequence":"additional","affiliation":[]},{"given":"Randy C.","family":"Brost","sequence":"additional","affiliation":[]},{"given":"Cynthia A.","family":"Phillips","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Staid","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,16]]},"reference":[{"issue":"10","key":"14_CR1","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1046\/j.1365-3156.2002.00924.x","volume":"7","author":"A Taekegn","year":"2002","unstructured":"Taekegn, A., et al.: Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best. Trop. Med. Int. Health 7(10), 851\u2013857 (2002)","journal-title":"Trop. Med. Int. Health"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Ahmad, T., et al.: Characterizing dengue spread and severity using internet media sources. In: Proceedings of ACM DEV 2013, New York. ACM (2013)","DOI":"10.1145\/2442882.2442906"},{"issue":"1","key":"14_CR3","doi-asserted-by":"publisher","first-page":"e0189988","DOI":"10.1371\/journal.pone.0189988","volume":"13","author":"Anna L. Buczak","year":"2018","unstructured":"Buczak, A.L., Baugher, B., Moniz, L.J., Bagley, T., Babin, S.M., Guven, E.: Ensemble method for dengue prediction. PLoS one 13(1), January 2018","journal-title":"PLOS ONE"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1186\/1472-6947-12-124","volume":"12","author":"AL Buczak","year":"2012","unstructured":"Buczak, A.L., Koshute, P.T., Babin, S.M., Feighner, B.H., Lewis, S.H.: A data-driven epidemiological prediction method for dengue outbreaks using local and remote sensing data. BMC Med. Inform. Decis. Mak. 12, 124 (2012)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"14_CR5","unstructured":"Gubler, D.J.: Desk Encyclopedia of human and medical virology, Chapter Dengue Viruses, pp. 372\u2013382. Academic Press, Boston (2010)"},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1016\/S0140-6736(02)09964-6","volume":"360","author":"S Hales","year":"2002","unstructured":"Hales, S., de Wet, N., Maindonald, J., Woodward, A.: Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet 360, 830\u2013834 (2002)","journal-title":"Lancet"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Johnson, L.R., et al.: Phenomenological forecasting of disease incidence using heteroskedastic gaussian processes: a dengue case study, August 2017","DOI":"10.1214\/17-AOAS1090"},{"issue":"1","key":"14_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1186\/1472-6947-10-39","volume":"10","author":"ML Kirian","year":"2010","unstructured":"Kirian, M.L., Weintraub, J.M.: Prediction of gastrointestinal disease with over-the-counter diarrheal remedy sales records in the San Francisco Bay Area. BMC Med. Inform. Decis. Mak. 10(1), 39 (2010)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Lauer, S.A., et al.: Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010\u20132014. In: Proceedings of the National Academy of Sciences (PNAS), February 2018","DOI":"10.1073\/pnas.1714457115"},{"key":"14_CR10","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s12976-016-0039-0","volume":"13","author":"H Masui","year":"2016","unstructured":"Masui, H., Kakitani, I., Ujiyama, S., Hashidate, K., Shiono, M., Kudo, K.: Assessing potential countermeasures against the dengue epidemic in non-tropical urban cities. Theor. Biol. Med. Model. 13, 12 (2016)","journal-title":"Theor. Biol. Med. Model."},{"key":"14_CR11","unstructured":"NOAA. Combating dengue with infectious disease forecasting. Technical report, National Oceanic and Atmospheric Administration, DOC, 5 June 2015. Retrieved from Dengue Forecasting http:\/\/dengueforecasting.noaa.gov\/"},{"issue":"30","key":"14_CR12","doi-asserted-by":"publisher","first-page":"4908","DOI":"10.1002\/sim.7488","volume":"36","author":"EL Ray","year":"2017","unstructured":"Ray, E.L., Sakrejda, K., Lauer, S.A., Johansson, M.A., Reich, N.G.: Infectious disease prediction with kernel conditional density estimation. Stat. Med. 36(30), 4908\u20134929 (2017)","journal-title":"Stat. Med."},{"issue":"7","key":"14_CR13","doi-asserted-by":"publisher","first-page":"e1501215","DOI":"10.1126\/sciadv.1501215","volume":"2","author":"NA Rehman","year":"2016","unstructured":"Rehman, N.A., Kalyanaraman, S., Ahmad, T., Pervaiz, F., Saif, U., Subramanian, L.: Fine-grained dengue forecasting using telephone triage services. Sci. Adv. 2(7), e1501215 (2016)","journal-title":"Sci. Adv."},{"key":"14_CR14","unstructured":"Sathler, C.: Predictive modeling of dengue fever epidemics: A Neural Network Approach, December 2017"},{"key":"14_CR15","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.watres.2014.01.013","volume":"53","author":"JE Shortridge","year":"2014","unstructured":"Shortridge, J.E., Guikema, S.D.: Public health and pipe breaks in water distribution systems: analysis with internet search volume as a proxy. Water Res. 53, 26\u201334 (2014)","journal-title":"Water Res."},{"issue":"15","key":"14_CR16","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1056\/NEJMra1110265","volume":"366","author":"CP Simmons","year":"2012","unstructured":"Simmons, C.P., Farrar, J.J., Nguyen, V.V., Wills, B.: Dengue. N Engl. J Med 366(15), 1423\u20131432 (2012)","journal-title":"N Engl. J Med"},{"issue":"3","key":"14_CR17","doi-asserted-by":"publisher","first-page":"e9450","DOI":"10.1371\/journal.pone.0009450","volume":"5","author":"RP Soebiyanto","year":"2010","unstructured":"Soebiyanto, R.P., Adimi, F., Kiang, R.K.: Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters. PLoS One 5(3), e9450 (2010)","journal-title":"PLoS One"},{"key":"14_CR18","unstructured":"WHO. Dengue: Guidelines for diagnosis, treatment, prevention and control. Technical report, WHO\/TDR (2009)"},{"key":"14_CR19","unstructured":"WHO. Dengue and severe dengue fact sheet. Retrieved from World Health Organization http:\/\/www.who.int\/mediacentre\/factsheets\/fs117\/en\/ , 29 July 2016"},{"issue":"123","key":"14_CR20","doi-asserted-by":"publisher","first-page":"20160410","DOI":"10.1098\/rsif.2016.0410","volume":"13","author":"Teresa K. Yamana","year":"2016","unstructured":"Yamana, T.K., Kandula, S., Shaman, J.: Superensemble forecasts of dengue outbreaks. J. R. Soc. 13, (20160410) (2016)","journal-title":"Journal of The Royal Society Interface"}],"container-title":["Communications in Computer and Information Science","Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-6661-1_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T22:53:46Z","timestamp":1662936826000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-6661-1_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811366604","9789811366611"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-6661-1_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"16 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AusDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Conference on Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bathurst, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausdm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ausdm18.ausdm.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}