Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions models use basic assumptions or collected statistics along with mathematics to find parameters for various infectious diseases and use those parameters to calculate the effects of different interventions like mass vaccination programmes. We dont know values for the parameters b and k yet but we can estimate them and then adjust them as necessary to fit the excess death data we have already estimated the average period of infectiousness at three days so that would suggest k 1 3 if we guess that each infected would make a possibly infecting contact every two days then b would be 1 2. A detailed course manual a usb containing the models used during the course a licence for the specialist user friendly modelling package berkeley madonna and a copy of the book an introduction to infectious disease modelling written by the course organisers will be given to participants. Inspired by a collaborative and multidisciplinary effort from the scientific community idms innovative software tools provide a qualitative and analytical means to model infectious disease tools are provided to the scientific community to accelerate the exploration of disease eradication through the use of computational modeling. The risk map service is a tool to create a calibrated predictive risk model from disease incidence data the tool provides both model output and maps to visualize risk across a given time period for a specific location once a csv file of incidence data is uploaded the tool steps through a process of data cleaning aggregation model running
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