Scenario. Big Data predicting the uncertainties(15 marks)

A groundbreaking study in Bangladesh has found that using data from mobile phone networks to track movements of people across the country help predict where outbreaks of diseases such as malaria are likely to occur, enabling health authorities to take preventive measures.

Every year, malaria kills more than 400,000 people globally and most of them are children.

The different type of data, including information provided by the Bangladesh ministry of health, are used to create risk maps indicating the likely locations of malaria outbreaks so the local health authorities can then be warned to take preventative action, including spraying insecticides and stockpiling bed nets and medicines to protect the population from the disease.

Questions:

1.It seems malaria is much worse than COVID-19. In order to monitor and control the spread of malaria, how should the data from mobile phone networks be used to conduct predicative analytics and control the disease spread? Justify your answer please. (6 marks)

2.In your answer to question 1, please list at least three major concerns or issues with your proposed approach.(4.5 marks)

3.Australia is using COVIDsafe mobile app to help find close contacts of COVID-19 cases (Brief introduction on COVIDsafe app is available at https://www.health.gov.au/resources/apps-and-tools/covidsafe-app). In comparison to how Bangladesh controls the spread of malaria, please identify at least three key differences between their approach and COVIDsafe app.(4.5 marks)