COVID-19 appears to have pocketed the entirety of the human race as it threatens the whole world on a large scale.
The virus emanated from Wuhan and has continuously spread across the world, killing thousands. This no doubt has posed a major threat to many of the underdeveloped health care systems in Africa even as it has stretched the healthcare facilities of developed countries to the limits. Technology may, however, just be the best bet to solving this global crisis.
Using machine learning models, data can be obtained from such localities where data gathering has proven to be difficult to obtain, due to inaccessibility. Data from these areas can supply reliable information on health characteristics, demography and lifestyle, among others. Technology can be used to work on related risk factors such as respiratory related diseases, number of people in households and the likes. Insights gathered from this can be used in mapping out risk profiles. Oncethe number of the at-risk population is identified, there can be proper dissemination of public health information that relates to that population.
Data generated via machine learning is unique and can be explored to solve challenges around the COVID-19 pandemic. The technology behind machine learning allows learning in real-time, coupled with supplying information, such as risk factors that evolve. Therefore, it is a good technology to deploy in times of evolving crisis like the COVID-19 pandemic.
The country has also developed a technology that deploys a feature, using colour QR code to detect people with the virus and eventually, have them sent to isolation camps. Aside from machine learning and predictive analysis, artificial Intelligence and blockchain have also proven its usefulness in the fight against the pandemic.
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