Covid-19 Infection Trends in Kenya

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From left: Dr Ngigi of GEGIS, Dr. Mungatu of SMS, Prof. Wamunyokoli of SOBMS, Mr. Muriuki of GEIGIS, Ms. Gichaiya of ICT, Dr. Aduda of SMS, Prof. Karanja, Dr. Thuo and Dr. Athiany of SMS.

As the COVID-19 disease continues to ravage the globe, an accurate prediction of the evolution of the pandemic, generation of pandemic-related data and the optimal dissemination of information, partly holds the key to the successful management of the pandemic. A team of researchers at Jomo Kenyatta University of Agriculture and Technology (JKUAT) has developed a utilitarian web-based digital platform that provides diverse data that is key in predicting the Coronavirus (Covid-19) disease infection trends in Kenya. The innovation is a significant contribution by JKUAT aimed at supporting government’s strategies in combating Covid-19 through prediction of…

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