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opencc-by-4.0Mar 2024View details →

DailySense: a Daily Self-reports and Physiological Signals Sensing Dataset for Subjective Health Research in the Wild

Description: This is a daily self-reports and physiological signals sensing dataset for subjective health research in the wild (DailySense). This is a dataset from a consecutive 14-day experiment in real-life settings composed of smartphone-based subjective psychological evaluation and physiological sensing. A Total of 36 healthy Japanese adult remote workers (mean±SD, 35.8±7.5; range, 27–58 years; 21 male and 15 female participants) participated in the experiment through two terms (1st term [1], 18 participants from a Japanese company without rewards; 2nd term, 18 participants from a participant's pool with rewards). The study protocol was approved by the internal review board of Research & Development Group, Hitachi, Ltd., and was conducted in accordance with the Declaration of Helsinki. All participants provided informed consent prior to enrollment in this study. The permission to share the raw data with participants' anonymization was included in this approval and explicitly obtained in that informed consent. This dataset contains the following data:  - pre- and post-term data of     - responses to self-reporting questionnaires (i.e., the Japanese versions of NEO-FFI, STAI, CES-D, CFS, PSQI, WHO-QOL, and SF-36v2©).     - demographics     - survey regarding this experiment - mid-term data of     - responses to emotional self-reports (i.e., Affective Slider and I-PANAS-SF) and their behavior in ESM 6 times/day at maximum     - responses to subjective health (i.e., degree of fatigue, stress, anxiety, depression, and sleeplessness), wake-up/in-bed times, and work style 1time/day     - continuously monitored physiological data (i.e., EDA, PPG, Acc) and event tags obtained by a wristband sensor (E4 wristband, Empatica Inc.) during their waking hours     - response profile data estimated using the proposed method     - log data of an experience sampling support system (exkuma, Japan Experience Sampling Method Association) Details of data are mentioned in an xlsx file of the root directory. Due to the limitation of questionnaires, descriptions of original instructions of items in each questionnaire are omitted. The details of the experiment are described in [1][2]. Note that, in [1], participant #29 was excluded due to insufficient physiological data quality. In addition, in [2], participant #47 was excluded since he did not complete a personality questionnaire, but #29 was included since he completed responses to all the questionnaires.   License: This dataset is made available by Hitachi, Ltd. under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.   References: If you use this dataset, please cite the following papers: [1] Shunsuke Minusa, Chihiro Yoshimura, and Hiroyuki Mizuno "Emodiversity evaluation of remote workers through health monitoring based on intra-day emotion sampling," Front. Public Heal., vol. 11, no. August, pp. 1–12, 2023, doi: <a href="https://doi.org/10.3389/fpubh.2023.1196539" target="_blank" rel="noopener">10.3389/fpubh.2023.1196539</a> [2] Shunsuke Minusa, Tadayuki Matsumura, Kanako Esaki, Yang Shao, Chihiro Yoshimura, and Hiroyuki Mizuno, "Response Style Characterization for Repeated Measures Using the Visual Analogue Scale," arXiv preprint <a href="https://arxiv.org/abs/2403.10136" target="_blank" rel="noopener">arXiv:2403.10136</a>, 2024.   Contact: If there is any problem, please contact us: <ul> <li>Shunsuke Minusa, <a href="mailto:shunsuke.minusa.hd@hitachi.com" target="_blank" rel="noopener">shunsuke.minusa.hd@hitachi.com</a></li> </ul>

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Data from: Do the health benefits of boiling drinking water outweigh the negative impacts of increased indoor air pollution exposure?

Background: Billions of the world's poorest households are faced with the lack of access to both safe drinking water and clean cooking. One solution to microbiologically contaminated water is boiling, often promoted without acknowledging the additional risks incurred from indoor air degradation from using solid fuels. Objectives: This modeling study explores the tradeoff of increased air pollution from boiling drinking water under multiple contamination and fuel use scenarios typical of low-income settings. Methods: We calculated the total change in disability-adjusted life years (DALYs) from indoor air pollution (IAP) and diarrhea from fecal contamination of drinking water for scenarios of different source water quality, boiling effectiveness, and stove type. We used Uganda and Vietnam, two countries with a high prevalence of water boiling and solid fuel use, as case studies. Results: Boiling drinking water reduced the diarrhea disease burden by a mean of 1110 DALYs and 368 DALYs per 10,000 people for adults and children <5 years in Uganda, respectively, for high-risk water quality and the most efficient (lab-level) boiling scenario, with smaller reductions for less contaminated water and ineffective boiling. Similar results were found in Vietnam, apart from fewer avoided DALYs in children due to different demographics. In both countries, for households with high baseline IAP from existing solid fuel use, adding water boiling to cooking on a given stove was associated with a limited increase in IAP DALYs due to the log-linear dose-response curves. Boiling, even at low effectiveness, was associated with net DALY reductions for medium- and high-risk water, even if using unclean stoves/fuels. Replacing traditional stoves with improved stoves coupled with effective boiling practices significantly reduced total DALYs. Discussion: Boiling water generally resulted in a net decrease in DALYs. Future efforts should empirically measure health outcomes from IAP vs. diarrhea associated with boiling drinking water using field studies with different boiling methods and stove types.

opencc-zeroMar 2024View details →

FIGURE 8 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 8 Seven Box plot of median (), 25th and 75th percentiles (), range () and outlier () leukocytes counts of whole blood smears from Salmo salar given single (n = 10) or repeated (n = 30) exposure to the anaesthetics MS-222 (80 mg l−1), metomidate (12.5 mg l−1) and AQUI-S (17 mg l−1). (a) lymphocytes; (b) thrombocytes; (c) neutrophils, (d) monocytes. *, P <0.05

FIGURE 7 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 7 Box plot of median (), 25th and 75th percentiles (), range () and outlier () glucose concentrations of plasma from Salmo salar after single (n = 10) or repeat exposure (n = 30) to the anaesthetics MS-222 (80 mg l−1), metomidate (12.5 mg l−1) and AQUI-S (17 mg l−1). No significant differences were found using a Van der Waerden test

FIGURE 4 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 4 Mean (+SE) accumulation of anaesthetics MS-222, metomidate and AQUI-S in muscle tissue of Salmo salar, as detected by liquid chromatography mass spectrometry. Repeated exposure groups were anaesthetized to Stage III Plane 1 at seven timepoints every four days (Figure 1), followed by a lethal dose of anaesthetic at day 28. Single exposure groups were left undisturbed throughout the experiment, until day 28 and then treated with a lethal dose of anaesthetic. No significant differences were found between single and repeated doses of respective anaesthetics () Single, and () Repeated

FIGURE 6 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 6 Mean (+SE) expression of selected genes from Salmo salar head kidney relative to the housekeeping gene elongation factor α (elfα). Head kidney was analysed after a single (n = 10) or repeated exposure (n = 30) to (a) MS-222 (80 mg l−1) () Single, and () Repeat, (b) metomidate (12.5 mg l−1) () Single, and () Repeat and (c) AQUI-S (17 mg l−1) () Single, and () Repeat. Log -transformed data were 10 compared by one-way ANOVA. *P <0.05

FIGURE 3 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 3 Mean epithelial lifting score (Table 1) for Salmo salar gills assessed by histology after repeated or single dose exposures of fish to the anaesthetics MS-222 (80 mg l−1), metomidate (12.5 mg l−1) and AQUI-S (17 mg l−1). Different letters denote significant differences (P <0.05) between groups assessed by ordinal regression analysis

FIGURE 5 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 5 Mean (+SE) relative expression of selected genes in Salmo salar gills. Gene expression level was quantified by real-time PCR, normalized using the housekeeping gene elongation factor α (elfα), and expressed as arbitrary unit where the expression in single exposure is 1. Gills were analysed after a single (n = 10) or repeated exposure (n = 30) to (a) MS-222 (80 mg l−1) () Single, and () Repeat, (b) metomidate (12.5 mg l−1) () Single, and () Repeat and (c) AQUI-S (17 mg l−1) () Single, and () Repeat. Log -transformed data were 10 compared by one-way ANOVA. *P <0.05; **, P <0.01; ***P <0.001

FIGURE 2 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 2 Differential-interference contrast images of Salmo salar gill after dosing with three anaesthetic agents: (a) single and (d) repeat exposure to MS-222 (80 mg l−1); (b) single and (e) repeat exposure to metomidate (12 mg l−1); (c) single and (f) repeat exposure to AQUI-S (17 mg l−1). e, epithelial cell; sl, secondary lamella; p, pillar cell; g, goblet cell; pl, primary lamellae; er, erythrocyte., Area showing evidence of epithelial lifting; S.I., foci of mild subepithelial infiltration. Scale bar 100 μm. Magnification ×400

FIGURE 1 Log2 in Effects of repeated anaesthesia on gill and general health of Atlantic salmon, Salmo salar

FIGURE 1 Log2 mean (SD, n = 3) repeat-treatment induction times of Salmo salar () to Stage III, Plane 1 anaesthesia with MS-222 (80 mg l−1), metomidate (12.5 mg l−1) and AQUI-S (17 mg l−1). P> 0.05 for each anaesthetic, as assessed by repeated measures ANOVA () MS-222, () Metomidate, and () AQUI-S

opencc-zeroApr 2024View details →

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Data from: Tool use increases mechanical foraging success and tooth health in southern sea otters (Enhydra lutris nereis)

Although it is well documented that tool use can enable the utilization of novel resources, the fitness benefits associated with this innovative behavior are difficult to test. Using longitudinal data from 196 radio-tagged southern sea otters, we found that individuals, particularly females, with frequent tool use gained access to harder, larger prey items. In turn, the mechanical advantages of tool use during food processing translated to reduced tooth damage in tool users. We also found that tool use diminishes trade-offs between access to different prey types, tooth health, and caloric intake that are highly dependent on the relative availability of prey in the environment. Overall, tool use allows individuals to maintain caloric requirements through the processing of alternative prey that are otherwise inaccessible without the use of tools, indicating that this innovative behavior is a necessity for the survival of southern sea otters in environments with depleted preferred prey.

opencc-by-4.0Jan 2024View details →

Gender differences in preferences for mental health apps in the general popu-lation – a Choice-based Conjoint Analysis from Germany

Background: Men and women differ in the mental health issues they typically face. This study aims to describe gender differences in preferences for mental health treatment options and specifically tries to identify participants who prefer AI-based therapy over traditional face-to-face therapy. Method: A nationally representative sample of 2,108 participants (53% female) aged 18 to 74 years completed a CBCAs. Within the CBCA, participants evaluated twenty choice sets, each describing three treatment variants in terms of provider, content, costs, and waiting time. Results: Costs (relative importance [RI] = 55%) emerged as the most critical factor when choosing between treatment options, followed by provider (RI= 31%), content (RI = 10%), and waiting time (RI = 4%). Small yet statistically significant differences were observed between women and men. Women placed greater importance on the provider, while men placed greater importance on cost and waiting time. Age and previous experience with psychotherapy and with mental health apps were systematically related to individual preferences but did not alter gender effects. Only a minority (approximately 8%) of participants preferred AI-based treatment to traditional therapy. Conclusions: Overall, affordable mental health treatments performed by human therapists are consistently favored by both men and women. AI-driven mental health apps should align with user preferences to address psychologist shortages. However, it is uncertain whether they alone can meet the rising demand, highlighting the need for alternative solutions. Keywords: gender preferences; discrete choice experiment; mental health treatment; artificial intelligence

opencc-by-4.0Nov 2024View details →

Health&Gait: a dataset for gait-based analysis

This repository contains the Health&Gait dataset, the first that enables gait analysis using visual information without specific sensors, relying solely on cameras. The dataset includes multimodal features extracted from videos, and gait parameters and anthropometric measurements from each participant. This dataset is intended for use in health, sports and gait analysis research. Health&Gait consists of 1,564 videos of 398 participants walking in a controlled closed environment, where each video has associated the following information: <ul> <li>2D pose estimation of their joints by <a href="https://github.com/MVIG-SJTU/AlphaPose">AlphaPose</a> (JSON format files).</li> <li>Semantic segmentation by <a href="https://github.com/facebookresearch/detectron2/tree/main/projects/DensePose">DensePose</a> (PNG images).</li> <li>Optical flow by <a href="https://docs.opencv.org/3.4/dc/d47/classcv_1_1DualTVL1OpticalFlow.html" rel="nofollow">TVL1</a> and <a href="https://github.com/haofeixu/gmflow">GMFlow</a> (PNG images).</li> <li>Silhouette by <a href="https://github.com/ultralytics/ultralytics">YOLOV8</a> (JPEG images).</li> </ul> Moreover, for each subject, the following data has been recorded: <ul> <li>Anthropometric measurements.</li> <li>Gait parameters obtained from OptoGait and MuscleLAB.</li> <li>Gait parameters estimated from pose information.</li> </ul>

opencc-by-4.0Nov 2024View details →

CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS

This repository contains the dataset ‘CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS’ which is a result from the Transnational Access, within Co-UDlabs project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626.  These experiments introduce a new approach which uses low-cost multi-spectral camera (Plant-o-Meter) to estimate plant health (through various parameters) to link with soil moisture of the bioretention systems (biofilters and green roof) as a common element of nature-based solutions (NBS). Soil moisture is used as a proxy for polluted water retention and pollutant removal within the system. The aim of this work is to provide a proof of concept for indirect measurement of urban polluted water treatment through different types of NBS. The experiments have been done on real stormwater biofilters, under controlled conditions (artificial irrigation). Data from the experimental campaign presented here will help to understand fundamental correlations between plant health parameters and the change in soil moisture, giving us a tool for quick assessment of the need for maintenance of various NBS as a crucial parts of UD systems. The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626) >>>For detailed description of the dataset, please see <a href="https://zenodo.org/api/records/14191602/draft/files/README_NBS-RECON_dataset.txt/content" target="_blank" rel="noopener noreferrer">README_NBS-RECON_dataset.txt</a> and <a href="https://zenodo.org/api/records/14191602/draft/files/CoUDlabsDataStorageReport_NBS-RECON.docx/content" target="_blank" rel="noopener noreferrer">CoUDlabsDataStorageReport_NBS-RECON.docx</a>

opencc-by-4.0Oct 2024View details →

Measuring the risk of violence through health surveillance.

database used for the study "Measuring the risk of violence through health surveillance" to be published.

Mental health, physical health, training load and subjective performance during the COVID-19 pandemic – a Swiss elite athletes' cohort study

Dataset of Swiss elite athletes (n=203) participating in a repeated online survey evaluating mental and physical health factors, as well as training and performance related metrics. After the first survey during the first lockdown between April and May 2020, there were monthly follow-up surveys over a 6-month period.

Dataset underpinning "Understanding health behaviours in context: A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours"

This is the dataset underpinning the article "Understanding health behaviours in context: A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours": https://pubmed.ncbi.nlm.nih.gov/35975950/

Assessment of Potential Risk Factors for COVID-19 among Health Care Workers in a Health Care Setting in Delhi, India

Executive summary The novel coronavirus SARS-CoV2 (COVID-19), first detected by Wuhan Municipal Health Commission, China, in Wuhan, Hubei Province in December 2020 and eventually the disease became pandemic. It was declared as Public Health Emergency of International Concern (PHEIC) by WHO in January 2020. The COVID-19 disease primarily spreads through droplets of saliva or discharge from the nose when an infected person coughs or sneezes. People infected with the COVID-19 virus experiences mild, moderate or serious respiratory illness.  Health workers play a critical role in the clinical management of patients with COVID-19 and hence are likely to be the most vulnerable for contracting the disease. Therefore, investigating the extent of infection in health care settings and identifying risk factors for infection among health workers along with follow-up within a facility in which a confirmed case of COVID-19 infection is receiving care can provide useful information on virus transmissibility and routes of transmission, and will bear important step in limiting amplification events in health care facilities.    Objectives: 1. To find out the extent of human-to-human transmission of the SARS-CoV-2 infection among health workers 2. To study the clinical presentations of COVID-19 infection and the risk factors for infection among health workers. 3 To evaluate the effectiveness of infection prevention and control measures among health workers in protecting against COVID-19. 4. To evaluate the effectiveness of infection prevention and control programmes at health facility level  5. To determine the serological response of health workers with symptomatic and possibly asymptomatic COVID-19 infection.   Materials and Methods: This was a prospective cohort study conducted over a period of seven months, from December 2020 to June 2021, the period covering India’s deadly second wave of COVID-19 pandemic. This was done among the health care workers working in HIMSR & HAHC hospital, a tertiary health care setting (Dedicated COVID-19 Hospital) providing care to patients with a laboratory-confirmed COVID-19 infection. This hospital located in South East Delhi has 200 bedded COVID-19 Care Hospital and 1050 registered healthcare workers who come in contact with COVID-19-infected persons. The study population (sampling frame) included all the health personnel like doctors, nurses, paramedical staff, housekeeping staff, security staff, students of medical, nursing and paramedical sciences and other front office staff who come in contact with the patients. In this study, the first visit / interview (Baseline) was done when the staff came in contact with a confirmed COVID-19 case. The second visit / interview (Endline) was done between 22-28 days. During each of these two visits, biological sample in the form of serum was collected to check the presence of anti-COVID-19 antibodies   Results: A total of 192 HCW were recruited in this study. All of them were interviewed and blood was collected for serology at the baseline visit as well as at endline. Out of 192 participants, 119 (61.97%) were detected with SARS-CoV2 antibodies at baseline whereas 73 (38.02%) were seronegative.  Again, on22-28 days of follow-up, the seropositivity was 77.7% at the endline. We found that seropositivity was significantly and negatively associated with doctor as profession [OR:0.353, CI:0.176-0.710], COVID-19 symptoms [OR:0.210, CI:0.054-0.820], comorbidities [OR:0.139 , CI: 0.029 - 0.674], recent IPC Training [OR:0.250, CI:0.072 -0.864] , while positively associated with Partially [OR:3.303,CI: 1.256-8.685], as well as fully Vaccinated for COVID-19 [OR:2.428, CI:1.118-5.271]. We also observed seroconversion among 36.7% while 64.0% had increase in titre of antibodies during our follow-up period. The seroconversion was 63.2% in doctors, 42.9% in nurses and 13.0% in paramedics staff. Seroconversion was positively associated with doctor as profession [OR:11.43, CI:2.47 - 52.79] and with partially, as well as fully vaccinated for COVID-19 [OR: 32.63, CI: 5.11 - 208.49]. None of the HCW who were smokers and with any comorbidity did not found to have been seroconversion. We observe a negative and significant relationship of increase in titre of antibodies with recent any ILI symptoms [OR:0.17, 0.13 - 0.94], smokers[OR: 0.35, 95%CI: 0.13 - 0.94], HCW with comorbidities [OR:0.08,95CI: 0.01  - 0.71],, recent full IPC Training [OR:0.07, CI:0.01 -0.63] , while positively associated with partially [OR: 7.87, 95CI: 2.18 - 28.40)], as well as fully Vaccinated for COVID-19 [OR: 3.59, 95CI: 1.46 - 8.87]. Majority of the health care worker enrolled in our study had close contact exposure with COVID-19 patients while 5 had indirect exposure. It was observed that almost all (100% in both) doctors and nurses as well as almost all paramedical staff (99%) were wearing some kind of personal protective equipment (PPE) when they were exposed to a COVID-19 patient. We did not found adherences to any of the infection prevention measure adopted by the enrolled HCW during the recent contact with COVID-19 patients to be significantly associated with seroconversion.  Conclusion: Majority of the health care worker (67% doctor, 80% nurses & 55% paramedics) enrolled in our study had close contact exposure with COVID-19 patient. The results show that among 192 HCW enrolled, 62% were seropositive at the baseline.  At end line the seropositivity was increased to 77.7%. The seroconversion rate was also studied. It was found to be 36.7% in our study population (63.2% in doctors, 42.9% in nurses and 13.0% in paramedic’s staff.). Adherence to the recommended IPC measures was reported by most participants. About two third (63%) of the HCW in our study were not vaccinated against COVID-19; nurses and paramedics were higher in proportion among those who were unvaccinated. Fifteen percentage were partially vaccinated and 22% were fully vaccinated against COVID-19, with doctors comprising majority among them. We also found that vaccination had the strongest association with seropositivity, seroconversion as well as serial rise of titre.

Ontologizing Health Systems at Scale: Making Translational Discovery a Reality (Recorded talk)

This entry contains the recorded talk that was presented at the 2021 American Medical Informatics Association Virtual Informatics Summit (<a href="https://amia.org/education-events/amia-2021-virtual-informatics-summit">https://amia.org/education-events/amia-2021-virtual-informatics-summit</a>).

OMOP2OBO: Semantic Integration of Standardized Clinical Terminologies to Power Translational Digital Medicine Across Health Systems (Recorded Introduction)

This entry contains the recorded introduction that was presented at the 2020 Observational Health Data Science Initiative Symposium (<a href="https://www.ohdsi.org/events/2020-ohdsi-symposium/">https://www.ohdsi.org/events/2020-ohdsi-symposium/</a>).