  The fourth Industrial Revolution(4IR), together with the COVID-19 pandemic
have made a loud call for digitizing diagnosis processes. The world is now
convinced that it is imperative to digitize the diagnosis of long standing
diseases such as malaria for more efficient treatment and control. It has been
seen that malaria control would benefit a lot from digitizing its diagnosis
processes such as data gathering. We propose, in this paper, the architecture
of a digital data collection system and how it is used to gather data for
malaria awareness. The system is formally specified using Z notation, and based
on the capability of the system, possible malaria determinants are defined and
their retrieving mechanisms are discussed.
