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Dissolved Oxygen (DO) in water enables marine life. Measuring the prevalence of DO in a body of water is an important part of sustainability efforts because low oxygen levels are a primary indicator of contamination and distress in bodies of water. Therefore, aquariums and aquaculture of all types are in need of near real-time dissolved oxygen monitoring and spend a lot of money on purchasing and maintaining DO meters that are either expensive, inefficient, or manually operated—in which case they also need to ensure that manual readings are taken frequently which is time consuming. Hence a cost-effective and sustainable automated Internet of Things (IoT) system for this task is necessary and long overdue. DOxy, is such an IoT system under research and development at Santa Clara University’s Ethical, Pragmatic, and Intelligent Computing (EPIC) Laboratory which utilizes cost-effective, accessible, and sustainable Sensing Units (SUs) for measuring the dissolved oxygen levels present in bodies of water which send their readings to a web based cloud infrastructure for storage, analysis, and visualization. DOxy’s SUs are equipped with a High-sensitivity Pulse Oximeter meant for measuring dissolved oxygen levels in human blood, not water. Hence a number of parallel readings of water samples were gathered by both the High-sensitivity Pulse Oximeter and a standard dissolved oxygen meter. Then, two approaches for relating the readings were investigated. In the first, various machine learning models were trained and tested to produce a dynamic mapping of sensor readings to actual DO values. In the second, curve-fitting models were used to produce a successful conversion formula usable in the DOxy SUs offline. Both proved successful in producing accurate results. Full article

Introduction: The West African Ebola outbreak of 2014–2016 necessitated clinical trials in communities with limited health data. The EBOVAC-Salone Ebola vaccine trial is ongoing in the largely rural Kambia District in northern Sierra Leone. To gain a baseline insight into our local noncommunicable disease (NCD) epidemiology, we examined screening blood pressure (BP) measurements in trial volunteers. Methods: BP involved taking multiple readings using an Omron M6 sphygmomanometer in rested individuals. We classified BP by the European 2018 ESC/ESH guidelines: optimal BP, normal or high-normal BP, or hypertension (systolic ≥ 140 mmHg ± diastolic ≥ 90 mmHg) with Grade 1, 2, or 3 (G1HT, G2HT, G3HT) severity levels. Results: Of 870 volunteers, 220 (25.3%) had optimal BP, 236 (27.13%) had normal BP, and 250 (28.7%) had high-normal BP. The remaining 164 (18.9%) were hypertensive. By gender, 16.5% (109/668) of males and 27.2% (55/202) of females were hypertensive. Among hypertensives, 62.2% had G1HT, 18.3% had G2HT, and 19.5% had G3HT. Twenty-two (13.4%) were previously diagnosed, with eight on treatment. Forty-one had isolated systolic hypertension. The prevalence significantly increased with age (p < 0.0001), with 5.3% (27/514) in the age-category 18–29 y, 18.6% (29/156) in 30–39 y, 49.4% (84/170) in 40–59 y, and 80% (24/30) in ≥60 y. The severity also increased with age, with 54.9% of G1HT, 76.7% of G2HT, and 90.7% of G3HT being aged ≥ 40 y. In total, 36.6% (60/164) of hypertensives were overweight or obese. Discussion: In an economically disadvantaged, Ebola-affected rural West African community where NCD might not traditionally be thought prevalent, almost one in five adults were found to be hypertensive and were mostly unaware. Additionally, nearly one in three had high-normal BP. Together, these findings portend a potent, largely silent, and potentially growing NCD threat, and illustrate that infectious disease (ID) studies could provide opportunities for pragmatic NCD data. As both ID and NCD are putatively promoted by overlapping pro-inflammatory and poverty-driven factors, a cross-paradigmatic “multiplex” approach, whereby ID studies prospectively incorporate NCD-related sub-studies (and vice versa), might optimize limited research resources for enhanced public health benefit. Full article