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SNS-Assignment Solved

Masters Programmes in Communications 


Software for Network Services 

(SNS) 

Project Assignment 


________________________________________________________________ Objective: COVID 19 Forecasting
 

As the covid-19 pandemic is changing the world as we know it, a fundamental problem facing the medical and research community is short/medium term forecasting of covid-19 data (cases, hospitalizations, intensive care bed and deaths). In this project you will build a covid-19 data forecasting engine using neural networks and python. 

 

Guidelines: 

•      You can choose whatever country you want. You can also choose more than one country or the world at large. 

•      You can choose whatever output(s) you want to predict: cases, hospitalizations, intensive care occupancy, etc. 

•      You can choose whatever sources for input you want. These may include past data of cases, mobility data, population density data, healthcare data (e.g. vitamin D intake, BCG vaccine), social network data (e.g. geolocated sentences that indicate symptoms), etc. Be creative on what source you use. Some potential sources can be found here: 

o   https://coronavirus.data.gov.uk o https://ourworldindata.org/coronavirus-testing 

o   http://www.salute.gov.it/portale/nuovocoronavirus/dettaglioContenutiNu ovoCoronavirus.jsp?lingua=english&id=5367&area=nuovoCoronavirus

&menu=vuoto o https://datastudio.google.com/reporting/3ffd36c3-0272-4510-a140-

39e288a9f15c/page/U5lCB o https://www.worldpop.org/events/china o https://www.google.com/covid19/mobility/ 

 

•      Your report should be done in HTML and put available online (this could be put in your home directory public_html of your account in the departmental servers). It should include the following sections: 

•      Introduction: What is the problem you are trying to solve and the general framework to solve it. 1 to 2 pages 

•      Data sources: explanation of what these are, how they were collected and how you pre-processed the data 

•      Machine learning framework and code. This should use neural networks. 

•      Results. You should present all your results results you may have but you need to present a table with the accuracy of your results for several days in advance as the one in the following: 

                                                                                                               

Software for Network Services (SNS) 

 
• 
Days in advance  
• 
Accuracy 
• 

• 
90% 
• 

• 
80% 
• 
… 
• 
70% 
• 

• 
… 
 

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