Background: Wearable physiological monitoring devices are promising tools for remote monitoring and early detection of potential health changes of interest. The widespread adoption of such an approach across communities and over long periods of time will require an automated data platform for collecting, processing, and analyzing relevant health information.
Objective: In this study, we explore prospective monitoring of individual health through an automated data collection, metrics extraction, and health anomaly analysis pipeline in free-living conditions over a continuous monitoring period of several months with a focus on viral respiratory infections, such as influenza or COVID-19.
The bilateral agreements signed between South Africa and countries in Southern and Eastern Africa are a rare example of efforts to regulate health-related issues in a world region. As far as we know, there are no comparable bilateral health governance mechanisms in regions elsewhere. Furthermore, the rapidly growing literature on global health governance and governance for global health has to date not addressed the issue of patient mobility and how to govern it.
View Article and Find Full Text PDFLivelihoods have changed dramatically over the past decade in low- and middle-income countries (LMIC). These shifts are happening in tandem with shifts in individual and household food choice behaviors. This scoping review aimed to identify and characterize mechanisms through which livelihood changes could affect food choice behaviors in LMIC, including behaviors relating to food production, acquisition, preparation, distribution, and consumption.
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