Because meningococcal disease is a serious and rapidly progressing illness, monitoring the trends in the resistance to antimicrobial agents is important.
Long-term sustainability is the goal of a mobile unit run by the home country where a true health care infrastructure can be developed, acute illnesses can be treated, chronic illnesses monitored, immunization programs implemented, and community members educated.
The cost of funding for the surveillance sites and CDC, typically <$7 million per year, is dwarfed by the economic impact of the illnesses monitored.
FoodNet has provided information that contributes to food safety efforts by estimating numbers of foodborne illnesses, monitoring trends in incidence of specific foodborne illnesses over time, attributing illnesses to specific foods and settings, and disseminating information [ 2, 3].
One of the major challenges in the respiratory medicine is the lack of disease-specific biomarkers for disease diagnosis, illness monitoring, therapy evaluation, and prognosis prediction.
The adoption of IoT in medical care field will bring great convenient to both doctors and patients for effective illness monitoring and diagnosis.
In bipolar disorder research, future studies using automatically generated objective smartphone data, or combination of these, for illness monitoring may lead to detection of new trait and state markers (Torous et al. 2017; McIntyre et al. 2014).
Disease-specific interaction networks, network biomarkers or DNB have the great impact in the understanding of mechanism interpretation, risk assessment, early diagnosis, illness monitoring, disease classification, stage and grade, effectiveness and toxicities prediction, as well as combinational therapies optimization.
This paper presents a smart architecture for children's chronic illness monitoring that will let the caregivers (parents, teachers and doctors) to remotely monitor the health of the children based on the sensors embedded in the smartphones and smart wearable devices.
