Improving disease outbreak forecasting models for efficient targeting of public health resources

Fernando, LasanthaPerera, AmalLokanathan, Sriganesh2018-04-092018-04-092018-03http://hdl.handle.net/10625/56923The forecasting models developed in this work can be utilized to effect better resource mobilisation for combatting dengue. For understanding human mobility in disease propagation, Mobile Network Big Data (MNBD) is a low cost data exhaust that provides rich insight into human mobility patterns, including better spatial and temporal granularity. Research focuses on the development of a human mobility model, using MNBD that can accurately depict aggregate human population movements in Sri Lanka, and from this determine which machine learning technique provides the best disease forecasting model.application/pdfenDENGUENEGLECTED TROPICAL DISEASESDISEASE OUTBREAK FORECASTINGDISEASE SURVEILLANCERESOURCE ALLOCATIONMOBILE PHONE NETWORKSBIG DATASRI LANKADISEASE VECTORSTROPICAL DISEASESMOBILE NETWORKSMACHINE LEARNINGDATA COLLECTION METHODOLOGYSOUTH ASIAImproving disease outbreak forecasting models for efficient targeting of public health resourcesJournal Article (peer-reviewed)