Description
Malaria control programs suffer from weak and fragmented surveillance of the wide range of information required to manage the disease effectively and efficiently. A computational framework to manage, integrate, analyze, and visualize the data resources, a cyberenvironment, can improve the surveillance and the outcomes.
Objective
This paper presents an ontology of a cyberenvironment for malaria surveillance. The ontology encapsulates a comprehensive natural language enumeration of the requirements of the cyberenvironment using a structured terminology. It can be used to systematically analyze and prioritize the functions of the cyberenvironment. It will help the medical, individual, environmental, and strategic management of malaria.
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