Slower but deeper community change: Intrinsic dynamics regulate anthropogenic impacts on species temporal turnover.

Understanding the mechanisms behind biodiversity dynamics is central to assessing and forecasting anthropogenic impacts on ecological communities. However, the manner in which external environmental drivers act in concert with intrinsic ecological processes to influence local temporal turnover is currently largely unexplored. Here, we determine how human impacts affect multiple metrics of bird community turnover to establish the ecological mechanisms behind compositional change. We used US Breeding Bird Survey data to calculate transect-level rates of three measures of temporal species turnover: (1) "short-term" (initial rate of decline of Sørensen similarity), (2) "long-term" (asymptotic Sørensen similarity), and (3) "throughput" (overall species accumulation rate from species-time relationship exponents) over 2692 transects across 27 regional habitat types. We then hierarchically fit linear models to estimate the effect of anthropogenic impact on these turnover metrics, using the Human Modification Index proxy, while accounting for observed species richness, the size of the species pool, and annual environmental variability. We found broadly consistent impacts of increased anthropogenic pressures across diverse habitat types. The Human Modification Index was associated with greater turnover at long timescales, but marginally slower short-term turnover. The species "throughput" (accumulation rate) was not notably influenced. Examining anthropogenic impacts on different aspects of species turnover in combination allows greater ecological insight. Observed human impacts on short-term turnover were the opposite of existing expectations and suggest humans are disrupting the background turnover of these systems, rather than simply driving rapid directed turnover. The increased long-term turnover without concurrent increases in species accumulation implies human impacts lead to shifts in species occurrence frequency rather than simply greater arrival of "new" species. These results highlight the role of intrinsic dynamics and caution against simple interpretations of increased species turnover as reflections of environmental change.

An app for apples: Citizen-led mapping of fire blight in Central Asia.

Fire blight, caused by the bacterial pathogen Erwinia amylovora, is a severe bacterial disease of apple and pear that can quickly destroy whole plants. In the last decade, it was also detected in Central Asia, where wild pomaceous fruit plants represent the dominant species in mid-altitude forests and constitute a critical foundation for the entire ecosystem. Efficiently informing farmers, forestry services and private persons about the instances and dangers of fire blight, the correct way to recognize the symptoms, and the methods of disease control is thus of paramount importance in a vast and fragmented natural landscape like the one characterizing countries like Kyrgyzstan, Kazakhstan and Tajikistan. For that purpose, we have developed an app for smartphones and mobile devices that can inform stakeholders about fire blight, simultaneously allowing a citizen science approach for mapping the spread of the disease in Central Asia. The app is available in the three national languages as well as in Russian, English, and German, and can easily be adapted to new countries, languages or even diseases.

A Method for Conveying Confidence in iNaturalist Observations: A Case Study Using Non-Native Marine Species.

Concerns and limitations relating to data quality, reliability and accuracy hamper the use of citizen science initiatives in research and conservation. Valued for their cost-effective and large data acquisition potential, citizen science platforms such as iNaturalist have been highlighted as beneficial tools to supplement monitoring using traditional data sources. However, intrinsic uncertainties in unverified observations stem from the nature of species being identified, the quality of uploaded media and georeferencing; these factors can limit the value of the data as they can result in inaccurate records. Verification of data prior to use is critical. This process can, however, be laborious and time-consuming, with bias associated with the individual responsible for the task. To address this challenge this study developed a protocol for assigning confidence in iNaturalist observations, using marine alien and cryptogenic species observations from South Africa as a case study. A positive relationship was found between the accuracy of observations and confidence score. The inherent data quality assessment in iNaturalist, termed quality grade, was found to be an inadequate proxy for accuracy. The results of this study highlight the importance of the expert verification phase when using citizen science data. The confidence score facilitates a streamlined approach to the verification process by reducing the time taken to validate records, while assessing the three levels of uncertainty within observations and reducing researcher bias. It is recommended that this confidence score be used as an essential tool when using citizen science derived data.

Arctic marine litter: Composition and sources investigated by citizen scientist "super-users".

Combating the challenge of marine litter requires an understanding of its distribution and accumulation for mitigative measures, and its sources for targeted preventative measures. The latter is generally not well assessed through most beach litter registration protocols available to citizen scientists. Deep Dives were specifically developed to provide management with additional relevant data on the sources of and behaviours leading to littering in the Arctic. In this project, the Deep Dive protocol was used as an add-on to the Norwegian national volunteer beach cleanup registration protocol. Litter was cleaned and registered from 9 locations in the Svalbard archipelago 2022-2023 in collaboration with two groups of citizen scientists: members of the Arctic Research Group and students from Svalbard Folkehøgskole. These were given specialised training as "super-users" to apply this more complex beach litter registration protocol. The experience of the volunteers was generally positive and the data quality good, although some need for additions to the training was highlighted to reliably categorise some challenging items. In the future, citizen scientists could contribute significantly to the collection of management-relevant data on marine litter in the Arctic provided adequate training, resources, and a user-friendly data registration portal.

Interventions of citizen science for mitigation and management of plastic pollution: Understanding sustainable development goals, policies, and regulations.

Plastic pollution in the natural environment has been overlooked, which leads to potential risks to human health and wildlife. This paper discusses and provides an overview of the citizen science approach to mitigate and manage plastic pollution based on information summarized on the sources and abundance of plastic particles in natural environments. Also, this paper highlights the importance of citizen science in raising public awareness of environmental issues and promoting sustainable practices. Case studies and different projects like "Plastic Pirates", "litterati", "Trash Hunter", "International Pellat Watch", and many more projects on the role of citizen scientists are presented, which monitor and collect plastic resin pellets from beaches, seas, and rivers and engage various stakeholders, such as citizen scientists, students, academic and research organizations, non-profits, government agencies, industry, and Local communities in monitoring coastal waters and marine litter quality. Additionally, the paper discusses the different methodologies like surveys, using mobile apps, different instruments, and kits to collect the data. Importantly, it discusses the need for global partnerships and policies to address plastic waste management and prevent conflict. Likewise, this review emphasizes the citizen sciences and impacts of plastics on both aquatic and terrestrial ecosystems to conserve, preserve, and monitor biodiversity through citizen participation. The study also highlights the significance of community involvement, such as local, coastal, marginalized, or vulnerable communities, in environmental research and the potential benefits of citizen science programs. Overall, this paper provides insights into citizen science as a valuable resource tool for researchers, policymakers, and the public interested in understanding and addressing the problem of plastic pollution.

Understanding Ixodes ricinus occurrence in private yards: influence of yard and landscape features.

BACKGROUND: Lyme borreliosis is the most frequent zoonotic disease in the northern hemisphere and is transmitted by ticks of the genus Ixodes. Although many people are bitten by ticks in private yards, our understanding of the factors associated with their presence in these areas remains limited. To address this gap, we used a citizen science approach to identify the local and landscape features associated with tick presence in yards. METHODS: This study was conducted near Nancy, a city in northeastern France, from 2020 to 2022. Citizen scientists collected ticks in their yard on a single event (n = 185) and measured 13 yard features. Additionally, we computed 11 features related to the landscape composition and spatial configuration surrounding these yards. Using generalized linear mixed models, we determined the yard and landscape features associated with the presence of ticks and nymphal Ixodes ricinus (hereafter nymphs), the life stage, and species that mostly bite humans. RESULTS: Despite a low density, ticks were found in 32% of the yards, including yards in urbanized areas. At the transect level, the likelihood of finding a nymph was nearly three times higher in transects shaded by vegetation compared to those in open areas, with no relationship between nymph occurrence and transect location or grass height. At the yard level, the occurrence of ticks and nymphs was related to both yard and landscape characteristics. Nymph and tick occurrence were more than twice as high in yards with signs of deer and a wood/brush pile compared to those without these characteristics, and increased with the connectivity of vegetation areas and the percentage of forest areas in the landscape. CONCLUSIONS: Our study reveals that private yards across an urbanization gradient are locations of tick exposure with tick presence linked to both yard and landscape factors. These findings emphasize the importance of public awareness regarding tick exposure in yards and provide crucial insights for future public health prevention campaigns.

Citizen science and community engagement for environmental monitoring and emergency response: Lessons from the MV X-Press Pearl ship disaster.

The sinking and combustion of the MV X-Press Pearl in May 2021 caused severe marine pollution, releasing toxic materials and billions of plastic nurdles. Nurdle pollution threatens sensitive coastal habitats and negatively impacts social welfare. This study aimed to 1) conduct a citizen science program to quantify nurdle distribution during the disaster, and 2) evaluate the societal impact, attitudes, knowledge, and perceptions in the disaster's aftermath. Results derived via the citizen science study indicated that Colombo, Gampaha and Puttalam districts to be hotspot areas with the highest nurdle densities of 50,789 ± 1139 m-2, 48,107 ± 3408 m-2 and 33,231 ± 689 m-2, respectively. Results from the public perception survey showed that the majority (80 %) of the respondents were affected by the incident. Over 70 % of the survey participants were either not satisfied or neutral towards the compensation provided for livelihood loss. Nearly 60 % took a neutral stance when questioned about the country's readiness to respond to marine disasters.

An Image-Based Sensor System for Low-Cost Airborne Particle Detection in Citizen Science Air Quality Monitoring.

Air pollution poses significant public health risks, necessitating accurate and efficient monitoring of particulate matter (PM). These organic compounds may be released from natural sources like trees and vegetation, as well as from anthropogenic, or human-made sources including industrial activities and motor vehicle emissions. Therefore, measuring PM concentrations is paramount to understanding people's exposure levels to pollutants. This paper introduces a novel image processing technique utilizing photographs/pictures of Do-it-Yourself (DiY) sensors for the detection and quantification of PM10 particles, enhancing community involvement and data collection accuracy in Citizen Science (CS) projects. A synthetic data generation algorithm was developed to overcome the challenge of data scarcity commonly associated with citizen-based data collection to validate the image processing technique. This algorithm generates images by precisely defining parameters such as image resolution, image dimension, and PM airborne particle density. To ensure these synthetic images mimic real-world conditions, variations like Gaussian noise, focus blur, and white balance adjustments and combinations were introduced, simulating the environmental and technical factors affecting image quality in typical smartphone digital cameras. The detection algorithm for PM10 particles demonstrates robust performance across varying levels of noise, maintaining effectiveness in realistic mobile imaging conditions. Therefore, the methodology retains sufficient accuracy, suggesting its practical applicability for environmental monitoring in diverse real-world conditions using mobile devices.

Turbidivision: a machine vision application for estimating turbidity from underwater images.

The measurement of turbidity serves as a key indicator of water quality and purity, crucial for informing decisions related to industrial, ecological, and public health applications. As existing processes require both additional expenses and steps to be taken during data collection relative to photography, we seek to generate accurate estimations of turbidity from underwater images. Such a process could give new insight to historical image datasets and provide an alternative to measuring turbidity when lower accuracy is acceptable, such as in citizen science and education applications. We used a two-step approach to a machine vision model, creating an image classification model trained on image data and their corresponding turbidity values recorded from a turbidimeter that is then used to generate continuous values through multiple linear regression. To create a robust model, we collected data for model training from a combination of in situ field sites and lab mesocosms across suspended sediment and colorimetric profiles, with and without a Secchi disk for visual standard, and binned images into 11 classes 0-55 Formazin Nephelometric Units (FNU). Our resulting classification model is highly accurate with 100% of predictions within one class of the expected class, and 84% of predictions matching the expected class. Regression results provide a continuous value that is accurate to ±0.7 FNU of true values below 2.5 FNU and ±33% between 2.5 and 55 FNU; values that are less accurate than conventional turbidimeters but comparable to field-based test kits frequently used in classroom and citizen science applications. To make the model widely accessible, we have implemented it as a free and open-source user-friendly web, computer, and Google Play application that enables anyone with a modern device to make use of the tool, the model, or our repository of training images for data collection or future model development.

Assessing and correcting neighborhood socioeconomic spatial sampling biases in citizen science mosquito data collection.

Climatic, ecological, and socioeconomic factors are facilitating the spread of mosquito-borne diseases, heightening the importance of vector surveillance and control. Citizen science is proving to be an effective tool to track mosquito populations, but methods are needed to detect and account for small scale sampling biases in citizen science surveillance. In this article we combine two types of traditional mosquito surveillance records with data from the Mosquito Alert citizen science system to explore the ways in which the socioeconomic characteristics of urban neighborhoods result in sampling biases in citizen scientists' mosquito reports, while also shaping the spatial distribution of mosquito populations themselves. We use Barcelona, Spain, as an example, and focus on Aedes albopictus, an invasive vector species of concern worldwide. Our results suggest citizen scientists' sampling effort is focused more in Barcelona's lower and middle income census tracts than in its higher income ones, whereas Ae. albopictus populations are concentrated in the city's upper-middle income tracts. High resolution estimates of the spatial distribution of Ae. albopictus risk can be improved by controlling for citizen scientists' sampling effort, making it possible to provide better insights for efficiently targeting control efforts. Our methodology can be replicated in other cities faced with vector mosquitoes to improve public health responses to mosquito-borne diseases, which impose massive burdens on communities worldwide.

Buscando Luciérnagas: findings on Mexican fireflies from an 8-year virtual citizen science project.

Fireflies are charismatic and conspicuous animals that often evoke childhood memories, which make firefly watching an emotional and even transformative experience. Citizen science projects have the potential to enhance transformative interactions with nature. Like many insects, firefly populations are declining due to land-use change, urbanization and watershed pollution, but ecological data for this group is scarce, particularly in Mexico. Virtual Citizen Science (VCS) initiatives can serve as a scientific instrument, yield reliable and relevant scientific data, and may also offer a platform to promote broader educational outcomes. We established a VCS project to document fireflies through a Facebook page named Buscando Luciernagas with the following hashtag in every post #veobrillar in 2015. After seven years we complied the gathered data and analyzed the results. We had 647 reports in total, with strong fluctuations from year to year that were correlated with the number of posts and publicity we made each year. The largest number of sightings (319) occurred in 2021, coinciding with a change in our reporting format. Most of the reports came from central Mexico (91.5%), but we had reports from eight states and also received some international reports from nine different countries. Fireflies were most frequently seen in habitats characterized as grasslands (35%) or forests (27%), followed by gardens (17%), vacant lots (9%) and parks (5%) but also paved areas and agricultural lands were reported (3% each). Most citizen scientists reported few fireflies, 1-5 individuals (31%) while only 11% reported more than 50 fireflies per sighting. Our study can serve as a preliminary approach to explore more focused research areas in the future. For example, in areas with no sightings, we could reach out to specific local people to corroborate that there are no fireflies in the region, or in areas with high sightings we could promote conservation measures. Notably, we found it intriguing to discover numerous sightings of fireflies in urban areas, which could offer a potential avenue for further research in urban ecology.

Caring Behavior of Filipinos toward their Elderly Family Members.

The Philippines has an increasingly aging population thereby increasing the demand for healthcare and support from families. Studies showed that the family is the main caregiver of elderly parents/adults as dictated by the Filipino culture of filial piety and respectful behavior towards older people. However, this caring culture is now slowly declining, and Filipino older adults also experience abuse, exploitation, and other forms of neglect from their families. This special article described that the declining caring culture was due to deteriorating family values and societal influences brought about by modernization. This paper also highlights the crucial role of the family and the community in inculcating the preservation of this valued caring Filipino culture, especially among the youth. In cases where senior citizens are being abused and neglected by their families, the state steps in to safeguard the welfare and protection of Filipino senior citizens. Enacted and promulgated laws ensure social justice and protection of human dignity among Filipino older adults as well as the provision of socioeconomic and health needs. In conclusion, the preservation of a caring culture through educating the youth coupled with the implementation of enacted and promulgated laws of the country ensures the quality of aging life among Filipino older adults.

Creating pathways to just and sustainable food systems with citizen assemblies.

Food systems affect and are affected by the interrelated crises of climate change, biodiversity loss, resource depletion and health, amongst others. Transforming to sustainable approaches is vital, yet entangled with uncertainties, complexity and a great value diversion with stakeholders. Deliberative processes such as citizen assemblies offer a valuable contribution to such a transformation, since the crises and their responses affect everyday life, and therefore inviting individual and collective action. Still, who is included and whose knowledge counts affects outcomes. Theoretically anchored in concepts of environmental justice, our study analyses three nation-wide citizens' assemblies on climate change and food systems from Western Europe. It assesses (a) how citizens' assemblies can incorporate a broad set of viewpoints and design more substantive political answers to current crises, and (b) whether citizens' assemblies include environmental justice aspects to facilitate social change. The paper argues that systematic and methodologically reflected inclusion of various positionalities can inspire decision-making processes in that they incorporate procedural, recognition, and distributional justice to address problems of climate change or modern food systems. It concludes with offering further approaches to include more than scientific knowledge in deliberative processes for a just transformation towards sustainability.

Citizen involvement in research on technological innovations for health, care or well-being: a scoping review.

Citizen science can be a powerful approach to foster the successful implementation of technological innovations in health, care or well-being. Involving experience experts as co-researchers or co-designers of technological innovations facilitates mutual learning, community building, and empowerment. By utilizing the expert knowledge of the intended users, innovations have a better chance to get adopted and solve complex health-related problems. As citizen science is still a relatively new practice for health and well-being, little is known about effective methods and guidelines for successful collaboration. This scoping review aims to provide insight in (1) the levels of citizen involvement in current research on technological innovations for health, care or well-being, (2) the used participatory methodologies, and (3) lesson's learned by the researchers.A scoping review was conducted and reported in accordance with the PRISMA-ScR guidelines. The search was performed in SCOPUS in January 2021 and included peer-reviewed journal and conference papers published between 2016 and 2020. The final selection (N = 83) was limited to empirical studies that had a clear focus on technological innovations for health, care or well-being and involved citizens at the level of collaboration or higher. Our results show a growing interest in citizens science as an inclusive research approach. Citizens are predominantly involved in the design phase of innovations and less in the preparation, data-analyses or reporting phase. Eight records had citizens in the lead in one of the research phases.Researcher use different terms to describe their methodological approach including participatory design, co-design, community based participatory research, co-creation, public and patient involvement, partcipatory action research, user-centred design and citizen science. Our selection of cases shows that succesful citizen science projects develop a structural and longitudinal partnership with their collaborators, use a situated and adaptive research approach, and have researchers that are willing to abandon traditional power dynamics and engage in a mutual learning experience.

The Dutch Citizen's Understanding and Perception of the Actors Involved in the Netherlands' COVID-19 Pandemic Response: A Focus Group Study During the First Pandemic Wave.

INTRODUCTION: The COVID-19 pandemic was a public health emergency (PHE) of unprecedented magnitude and impact. It provided the possibility to investigate the Dutch citizens' understanding and perception of the actors involved in the Dutch pandemic response as a PHE unfolded. METHODS: Three focus groups (FGs) were held with 16 Dutch citizens in June 2020. Citizens were recruited using the Dutch Health Care Consumer Panel. During the FGs, participants were asked to fill in a table with actors they thought were involved in the management of the COVID-19 pandemic. They also received information on actors involved in Dutch outbreak responses. Then, the actors named and omitted by the participants were discussed. RESULTS: An analysis of the FGs suggests that the Dutch citizens participating in the study were not fully aware of the scope of actors involved in the Dutch COVID-19 pandemic response. Some participants would have appreciated more information on the actors involved. This would help them have an informed opinion of the actors involved in the decision-making process, and accept non-pharmaceutical interventions implemented. Lastly, most participants recognised that they played a role in limiting the spread of the COVID-19 pandemic. Yet, very few spontaneously mentioned themselves as actors within the COVID-19 pandemic response. CONCLUSION: This study suggests that early in the COVID-19 pandemic, the Dutch citizens participating in this study's FG did not have a complete understanding of the scope of actors involved in the Dutch COVID-19 pandemic response, or the potential role of the citizen. Future research can build on these results to explore the citizen's perception of their role during PHEs of another origin, as well as other geographical and historical contexts. PATIENT OR PUBLIC CONTRIBUTION: The public participated in the focus groups and received a non-expert report summarising the outcomes of the focus groups.

Past, present and future of the two-spotted stink bug (Perillus bioculatus) in Europe revealed by citizen science.

The introduction of the Nearctic predaceous stink bug species, (Perillus bioculatus) was attempted multiple times in various countries throughout Europe to mitigate the damage caused by the invasive and harmful pest species, the Colorado potato beetle (Leptinotarsa decemlineata). Though these attempts were thought to be unsuccessful for decades, more recent data elucidated that the species have established small self-sustaining populations in the Balkans Peninsula, Southern Russia, and Türkiye and recently began to expand. In the past years, the European range of the species reached Eastern Europe. After the first individuals were found in Hungary in October 2023 a citizen science campaign was launched to investigate the distribution of the species in the country. By June 2024 it became evident that the species is established throughout the country. Furthermore, observations regarding beetle larvae and moth caterpillars as alternative prey were reported supporting the previous assumptions that the naturalization and expansion of the species in Europe is facilitated by dietary drift. Here, we summarize the knowledge on the European presence of the two-spotted stink bug and formulate hypotheses regarding its future distribution and the impact of the species on the insect communities of the newly colonized areas.

A dataset of citizen science practitioners' experiences and practices.

There has been renewed interest in Citizen Science (CS) in recent years as it offers an intriguing vision of enabling a scientifically literate population engage in scientific investigations and policy formation. Nonetheless, citizen scientists remain an understudied population, possibly due to the voluntary and part-time nature of their endeavours. Here, a dataset of CS practitioners' experiences collected using an online survey is presented. The survey sample comprises 100 adults (18+) active in diverse CS projects. The survey contains 47 questions designed for quantitative analysis. Questions cluster around several broad themes - participant demographics, project profiles, experience in citizen science, data collection practices, management, dissemination, knowledge of open research principles, and training received. The dataset offers the potential for further empirical research or as a baseline for subsequent surveys, and will interest anybody planning a CS initiative. The questionnaire constitutes a ready-to-deploy instrument for additional country, region, or initiative-level surveys.

Reassessment of French breeding bird population sizes using citizen science and accounting for species detectability.

Higher efficiency in large-scale and long-term biodiversity monitoring can be obtained through the use of Essential Biodiversity Variables, among which species population sizes provide key data for conservation programs. Relevant estimations and assessment of actual population sizes are critical for species conservation, especially in the current context of global biodiversity erosion. However, knowledge on population size varies greatly, depending on species conservation status and ranges. While the most threatened or restricted-range species generally benefit from exhaustive counts and surveys, monitoring common and widespread species population size tends to be neglected or is simply more challenging to achieve. In such a context, citizen science (CS) is a powerful tool for the long-term monitoring of common species through the engagement of various volunteers, permitting data acquisition on the long term and over large spatial scales. Despite this substantially increased sampling effort, detectability issues imply that even common species may remain unnoticed at suitable sites. The use of structured CS schemes, including repeated visits, enables to model the detection process, permitting reliable inferences of population size estimates. Here, we relied on a large French structured CS scheme (EPOC-ODF) comprising 27,156 complete checklists over 3,873 sites collected during the 2021-2023 breeding seasons to estimate the population size of 63 common bird species using hierarchical distance sampling (HDS). These population size estimates were compared to the previous expert-based French breeding bird atlas estimations, which did not account for detectability issues. We found that population size estimates from the former French breeding bird atlas were lower than those estimated using HDS for 65% of species. Such a prevalence of lower estimations is likely due to more conservative estimates inferred from semi-quantitative expert-based assessments used for the previous atlas. We also found that species with long-range songs such as the Common Cuckoo (Cuculus canorus), Eurasian Hoopoe (Upupa epops) or the Eurasian Blackbird (Turdus merula) had, in contrast, higher estimated population sizes in the previous atlas than in our HDS models. Our study highlights the need to rely on sound statistical methodology to ensure reliable ecological inferences with adequate uncertainty estimation and advocates for a higher reliance on structured CS in support of long-term biodiversity monitoring.

Usefulness and caveats of real-world data for research on hypertension and its association with cardiovascular or renal disease in Japan.

The role of real-world data, collected from clinical practice rather than clinical trials, has become increasingly important for investigating real-life situations, such as treatment effects. In Japan, evidence on hypertension, cardiovascular diseases, and kidney diseases using real-world data is increasing. These studies are mainly based on "the insurer-based real-world data" collected as electronic records, including data from health check-ups and medical claims such as JMDC database, DeSC database, the Japan Health Insurance Association (JHIA) database, or National Databases of Health Insurance Claims and Specific Health Checkups (NDB). Based on the insurer-based real-world data, traditional but finely stratified associations between hypertension and cardiovascular or kidney diseases can be explored. The insurer-based real-world data are also useful for pharmacoepidemiological studies that capture the distribution and trends of drug prescriptions; combined with annual health check-up data, the effectiveness of drugs can also be examined. Despite the usefulness of insurer-based real-world data collected as electronic records from a wide range of populations, we must be cautious about several points, including issues regarding population uncertainty, the validity of cardiovascular outcomes, the accuracy of blood pressure, traceability, and biases, such as indication and immortal biases. While a large sample size is considered a strength of real-world data, we must keep in mind that it does not overcome the problem of systematic error. This review discusses the usefulness and pitfalls of insurer-based real-world data in Japan through recent examples of Japanese research on hypertension and its association with cardiovascular or kidney disease.

Microphone calibration estimation for mobile audiological tests with resonating bottles.

OBJECTIVE: Audiological tests on smartphones require consistent microphone recordings across device types with a reasonable standard uncertainty (2-3 Decibel (dB)) of the sound pressure level at the microphone. However, the calibration of smartphone microphones by the non-expert user is still an unsolved issue. We show that whistling on standardized glass bottles permits a coarse sound level calibration with an uncertainty that is smaller than the standard uncertainty of clinical audiograms (4.9dB) and enough for mobile health (mHealth) products. DESIGN: We define and test a calibration procedure with bottle-whistles for smartphones. The empirical sound pressure levels are used to calculate the mean and standard deviation of a single measurement. STUDY SAMPLE: Two uncalibrated studies with a total of 30 participants, one calibrated study with 11 participants. RESULTS: The mean maximal sound pressure level of 330 ml Vichy-shape bottle-whistles at 50 cm distance is 92.8 ± 1.6dB sound pressure level (SPL). The sound pressure level variation of a single measurement is 3.0dB SPL. CONCLUSIONS: In comparison to other possible ways of level calibration estimates for smartphones (e.g. level of own voice, level of common environmental sounds), the current method appears to be robust in background noise and easily reproducible with glass bottles of defined dimensions.