This algorithm includes a set of online models, automatically adapting its parameters and updating its predictions by streaming data from reliable information sources on the COVID-19 situation in Nigeria. The hope is that we may be able to predict an envelope on the number of cases daily by observing the trend in NCDC's releases. Obviously, it is difficult to model Covid-19 (in fact, any real-life scenario is difficult to model) - the number of tests, randomness, interventions, stay-at-home compliance, curfews, epidemiological realities, and many other factors contribute to the difficulty of forecast models in this case. 

This is for academic purposes. There are many variables that could render the predictions inaccurate. Please do not panic. All models are wrong, but some are useful to guide our policy makers in the deployment of intervention strategies - George Box. This is what we intend to achieve.

This online predictive model was developed by Kabir M. Abdulmajeed and facilitated by Monsuru Adeleke.
Kabir Abdulmajeed had graduated with First Class in Electrical and Electronics Engineering at Osun State University and is currently a Sensors and Algorithms Specialist in the Oil and Gas Sector at United Arab Emirates.
Monsuru Adeleke is an Associate Professor of Public Health Entomology and Parasitology at Osun State University Osogbo.