Information Platform Research Articles

Assessment of MPOX infection-related knowledge levels, concerns, and associated factors: a community-based cross-sectional study

BackgroundMPOX (Monkeypox) is a zoonotic disease of increasing global concern due to its re-emergence and potential for human-to-human transmission. Effective public health interventions rely on understanding socio-demographic determinants of knowledge and perceptions of the disease. This study aimed to investigate MPOX-related knowledge and concerns among a diverse sample in Türkiye, identifying key factors influencing knowledge levels.MethodsA cross-sectional study was conducted with 509 participants aged 18–73 years (mean age: 33.8 ± 15.6) in all settlements of Türkiye. Socio-demographic data were collected, and MPOX knowledge and concerns were assessed using a structured data form. To assess knowledge levels regarding MPOX, 15 questions were defined with 1 point given for each correct answer, and these questions were then categorized as high knowledge (≥ 10 correct answers) and low knowledge (< 10 correct answers). Univariable and multivariable binary logistic regression analyses were conducted to identify factors associated with knowledge levels. Trust and reliance on information sources were also evaluated. The data form was distributed to participants via social media platforms.ResultsThe majority of participants (97.1%) were aware of MPOX, but only 6.5% believed adequate precautions were in place. The mean knowledge score was 7.6 ± 3.7, with 37.7% demonstrating high knowledge. In terms of concerns about MPOX, only 31.6% of participants were identified as concerned, whereas the majority (68.4%) of the participants reported no significant concerns. The most trusted source of information about MPOX among the participants was medical doctors and healthcare professionals, as indicated by 53.63% of respondents. Low knowledge was significantly associated with older age (p = 0.015), female gender (p = 0.002), lower education levels (p < 0.001), non-medical fields (p < 0.001), and lower income (p < 0.001). Social media (53.11%) was the most common information source, yet healthcare professionals (53.63%) were the most trusted. Multivariable logistic regression confirmed that being in non-medical fields (OR = 2.858, 95% CI: 1.809–4.515, p < 0.001), lower income (OR = 3.141, 95% CI: 2.015–4.896, p < 0.001), and perceived low immunity (OR = 2.264, 95% CI: 1.350–3.797, p = 0.002) independently predicted lower knowledge.ConclusionsDespite high awareness, significant gaps in MPOX knowledge exist, particularly among older adults, females, non-medical professionals, and those with low income. Public health strategies should prioritize these groups, leveraging trusted sources like healthcare professionals while improving the reliability of digital information platforms.

Combining Differential Privacy with FedAvgM to Optimize Data Access Control in the Information Platform

In response to the privacy leakage risk and low-efficiency issues of traditional data access control, especially in distributed environments, data transmission and centralized processing may expose sensitive information. To improve data access control in information platforms, ensure data security, and accelerate global model training, this article introduced a joint mechanism of differential privacy and FedAvgM (Federated Averaging with Momentum) optimization to enhance privacy protection and improve training efficiency. Firstly, the Laplacian noise mechanism was adopted to prevent user privacy information from being leaked during global model training by adding noise to the dataset, ensuring the privacy of each data access. Then, combined with the FedAvgM optimization algorithm, distributed nodes calculated local model parameters separately and merged these parameters through weighted averaging to reduce the training time of the global model and improve efficiency. Finally, layered encryption technology was adopted to add multiple layers of encryption during data transmission to ensure the security of the transmission link. At the same time, a dynamic permission allocation mechanism was introduced to limit the frequency of access to sensitive data. The experimental results demonstrate that when the privacy budget at ε=20, the privacy protection method of Laplace mechanism still maintains 73% accuracy in data transmission, with a privacy leakage risk of only 0.27. Under the same training epochs, the FedAvgM optimization algorithm achieved a correct data transmission accuracy of 97%. In comparison, the convergence speed increased by 0.29%/min in 1-20 training epochs, showing a faster convergence speed. Under four different noise attack methods, the anti-noise ability of layered encryption is the lowest at 15.4 dB, 18.5 dB, 17.1 dB, and 17.3 dB, respectively. This method effectively improves the problems of privacy leakage risk and low efficiency in traditional data access control.

Cross-Cultural Perspectives on Fake News: A Comparative Study of Instagram Users in Greece and Portugal

As our society increasingly relies on digital platforms for information, the spread of fake news has become a pressing concern. This study investigates the ability of Greek and Portuguese Instagram users to identify fake news, highlighting the influence of cultural differences. The responses of 220 Instagram users were collected through questionnaires in Greece and Portugal. The data analysis investigates characteristics of Instagram posts, social endorsement, and platform usage duration. The results reveal distinct user behaviors: Greeks exhibit a unique inclination towards social connections, displaying an increased trust in friends’ content and investing more time on Instagram, reflecting the importance of personal connections in their media consumption. They also give less importance to a certain post’s characteristics, such as content opposing personal beliefs, emotional language, and poor grammar, spelling, or formatting when identifying fake news, compared to the Portuguese, suggesting a weaker emphasis on content quality in their evaluations. These findings show that cultural differences affect how people behave on Instagram. Hence, content creators, platforms, and policymakers need specific plans to make online spaces more informative. Strategies should focus on enhancing awareness of key indicators of fake news, such as linguistic quality and post structure, while addressing the role of personal and social networks in the spread of misinformation.

Does internet-based climate information improve non-fishing employment opportunities? Insights from smallholder fishermen in Indonesia

ABSTRACT In the face of climate change, smallholder fishermen increasingly turn to non-fishing employment to sustain their livelihoods. Diversifying sources of income becomes paramount to mitigate the impact of unpredictable weather patterns on fish populations and, hence, household livelihoods. However, fishermen need convenient climate information access to navigate this transition effectively. With information about weather trends and forecasts, they can make informed decisions about when to fish and when to focus on alternative sources of income. This study offers novelty by investigating the impact of Internet-based climate information on non-fishing employment among smallholder fishermen in Indonesia. The study employs cross-sectional data collected from 503 smallholder fishermen in Indonesia, analyzed using a conditional mixed process (CMP) approach to tackle the endogeneity issue that may arise in the estimation. The results highlight that adopting Internet-based climate information among smallholder fishermen was positively and significantly associated with education, distance to fishing ports, social activity, fishing location, adoption of multiple gears, and access to the Internet among family members and relatives. However, the age of fishermen shows otherwise. Furthermore, our empirical findings confirm that Internet-based climate information significantly increases opportunities for non-fishing employment among fishermen. Disaggregate estimation by fishing boat size category strengthens this finding by showing a positive and significant coefficient in all categories. Therefore, this finding implies a need to improve and develop Internet-based climate information platforms in fisheries.

TikTok as a platform for hysteroscopy information: An analytical video-based cross-sectional study to assess quality, reliability, and accuracy.

To assess the quality, reliability, and level of misinformation in TikTok videos about hysteroscopy. A cross-sectional analysis of TikTok videos retrieved using "hysteroscopy" as search term was performed. Patient education materials assessment tool for audio-visual content (PEMAT A/V), the modified DISCERN (mDISCERN), global quality scale (GQS), video information and quality index (VIQI) and misinformation assessment were used. Of three hundred videos captured, 156 were excluded and 144 were included. Most videos were partially accurate or uninformative (43.8% and 34.7%, respectively). Non-healthcare providers produced more inaccurate or uninformative videos than healthcare workers (51.1% vs 4.0%; P < 0.001). Compared to content by professionals, content by patients showed increased distrust towards gynecologists (11.7% vs 0%; P = 0.012) and increased incidence of anxiety and concern towards hysteroscopy (25.5% vs 2%; P < 0.001). PEMAT A/V scores for understandability and actionability were low at 42.9% (interquartile range [IQR]: 11.1-70) and 0% (IQR: 0-0), respectively. Understandability (P < 0.001) and actionability (P = 0.001) were higher for professionals' created content relative to patients' videos. Similarly, median mDISCERN score was low (1 [IQR 0-2]), with significantly higher score for healthcare professionals compared to patients (P < 0.001). Overall video quality was also low, with median VIQI and GQS score of 7 (IQR 4-11) and 1 (IQR 1-3), respectively, and significantly higher scores for healthcare workers' captions compared to patients' for both (P < 0.001 and P = 0.001, respectively). TikTok videos' quality on hysteroscopy seems unsatisfactory and misinformative, with low understandability and actionability scores. Videos recorded by healthcare workers show higher quality and less misinformation than those by patients. Raising the awareness regarding the low quality of medical information on social media is crucial to increase future reliability and trustworthiness.

Mastitis on YouTube: analysis of Medical Information, Credibility, and Discursive Perspectives

Introduction: mastitis, a breastfeeding-related inflammatory condition, presents significant health challenges. YouTube is a popular platform for health information, but its content quality and credibility are inconsistent.Methods: a qualitative content analysis was conducted on 51 YouTube videos about mastitis, selected by relevance, user engagement, and views. The analysis evaluated medical information, credibility, and discursive strategies, using predefined criteria such as technical language, source reliability, and narrative coherence.Results: of the 51 videos analyzed, 98% addressed symptoms (e.g., pain and inflammation), 94 % included definitions, and 82 % discussed causes. Treatment strategies were present in 78%, while only 63 % mentioned preventive measures. Emotional and sociocultural dimensions were overlooked in 86% of videos. Institutional channels achieved higher credibility scores, averaging 3.8/5, while independent creators averaged 2,4/5. Educational and narrative-personal tones dominated, appearing in 39 % and 45 % of videos, respectively. However, 27% contained commercial elements, potentially undermining credibility.Conclusions: youTube shows potential for health education about mastitis but requires stricter content quality standards. Enhancing emotional and sociocultural content through collaboration between health organizations and digital creators could improve the reliability and impact of information shared.

Evolution and response of flood disaster network public opinion based on an event logic graph: A case study of rainstorms in Henan, China

Social media takes the center stage as the primary information and opinion-sharing platform for the public during disaster events. Related topics quickly spread, and multiple public opinion events exhibit clear coupling phenomena, leading to the formation of network public opinion. By creating a network public opinion event logic graph, our study illustrates the development and evolution of network public opinion during disaster events and provides the government with a crucial foundation for action. For this study, we selected tweets on Sina Weibo regarding the "Henan rainstorm" between July 19, 2021, and August 2, 2021. To construct a network public opinion event logic graph, pattern matching was used to discover event relationships and extract causal event pairs and sequential event pairs. Moreover, the term frequency-inverse document frequency+K-means clustering algorithm (TF-IDF+K-Means) clustering algorithm was used to group event pairs with high similarity into one category. The critical nodes and evolution pathways in the event logic graph were then thoroughly examined. Our findings demonstrated that the topic evolution of network public opinion was multidirectional in nature, covering topics such as disaster events, emergency rescue, public sentiment, media opinion, and livelihood-related events. The two main components of the evolutionary pathway of network public opinion are the evolution of the disaster itself and its evolution in the social sphere. Our study provides a technique for determining the dynamic evolution of network public opinion and provides useful consultation for the government's upcoming response to network public opinion during disaster events.

Optimizing Irrigation Infrastructure Management with Web-Based Technologies and OpenStreetMap Integration

Irrigation is essential for increasing agricultural productivity in Indonesia, directly impacting national food security and farmer welfare by ensuring the sustainability of irrigation systems. Despite its importance, significant challenges persist, including damage to 46% of the irrigation infrastructure across 7.1 million hectares, with responsibilities divided among central, provincial, and city governments. These challenges are compounded by issues such as inadequate information access, limitations in real-time monitoring, and poor stakeholder coordination. To address these issues, integrating technological tools such as Geographic Information Systems (GIS) and platforms such as OpenStreetMap (OSM) is essential. These technologies offer real-time information, facilitate land change tracking, and enable spatial mapping, which supports proactive management and planning while improving decision making through data-driven insights. The adoption of Rapid Application Development (RAD) and Decision Support Systems (DSS) further enhances the efficiency of irrigation system management. The RAD methodology ensures swift development cycles with user interaction, while DSS provides structured decision-making capabilities. This approach supports robust system design, user interface development, and geographic data visualization. In practice, efficient data collection and stakeholder participation enable the system to effectively report and track irrigation conditions, promoting public participation, and fostering long-term infrastructure sustainability. The developed online monitoring system demonstrates its effectiveness by providing interactive map features and transparent reporting platforms, verified through successful implementation of testing scenarios. This system not only improves infrastructure management in areas like Batu City, but also sets a precedent for scalable participatory irrigation solutions, creating a foundation for future enhancements.

Media Sosial dan Aplikasi Kecerdasan Buatan Dalam Preferensi dan Partisipasi Pemilih Di Pemilihan Umum

The advancement of internet-based information technology has made online social networks essential for general elections. Social media plays a positive role by increasing voter participation in politics. This study aims to analyze voter preferences regarding the use of social media during elections and to examine how artificial intelligence applications can be employed to engage voters. The research involves conducting surveys and performing system analyses. The results indicate that social media influences 59.3% of voters, establishing it as the primary platform for political information and communication. Artificial intelligence-based applications are designed to attract young voters through innovative interactions and personalized experiences. These applications can serve as effective modern campaign tools to reach a broader audience of voters

An Open Disaster Information Platform, Methodology, and Visualization for High-Rise and Complex Facilities

The growing complexity of urban environments and high-rise facilities presents new challenges for disaster preparedness and response, particularly when managing multiple hazards. Traditional systems that focus on single hazards are insufficient for complex facilities that are prone to cascading disasters. This study develops an open disaster information platform that integrates Building Information Modeling (BIM), Geographic Information Systems (GIS), and real-time monitoring tools to enhance situational awareness and multi-hazard response coordination. The platform combines data from the internet of things’ sensors, structural models, and environmental systems to provide responders and facility managers with real-time access to critical information. Simulation tests and real-world deployments have confirmed the platform’s ability to optimize evacuation routes, improve response times, and minimize risks during emergencies. Integration with GIS further supports risk mapping and post-disaster recovery efforts. This study proposes a scalable disaster management framework that promotes real-time data sharing and collaboration across stakeholders. Aligned with the trend toward smart, resilient cities, the platform provides practical solutions for improving disaster preparedness and response in high-rise and complex urban environments.

Information System Concept Implementing Single Design and Production Space Between Vessel Life Cycle Participants

The disadvantages in the enterprises interaction and the transition of documentation between the vessel (offshore object) life cycle stages within existing systems in electronic form has been analyzed. Based on this the authors developed the concept of an unified information system implementation algorithm in a general form. The investigation object is the data movement process, which includes: design documentation at the design stage, working design documentation at the development stage, technological processes at the stage of manufacturing components and building marine equipment samples, as well as operational documentation. The investigation subject is a system being developed that provides all the necessary functions for the data movement during the participants (enterprises) interaction at all life cycle stages. The investigation purpose is to develop a new unified information system with the exception of existing disadvantages in the implementation and use of analogues at Russian enterprises. This system will implement a unified design and production space between life cycle participants, using organizational and economic mechanisms, which will significantly reduce the project implementation time, carry out open monitoring of everything process for the designer, the construction plant and the customer himself, thanks to the integration of data from all product life cycle stages on a unified information platform. As a result of the research, it was revealed that the creation of such a system will eliminate the proliferation of data records copies, as is the case with a “paper” management organization. Simultaneous access of many users to the same data will simplify maintaining the data relevance. Unification of data collection and storage formats will allow the formation data suitable for automated processing using a specific algorithm. The presence of a unified database will reduce the time of information analysis. Automation of routine operations will reduce the labor costs of performers. Ways are proposed for the formation of organizational and economic mechanisms that contribute to the selected methods implementation effectiveness in the implementation of design and production activities.

Understanding the influence of cloud-based information and communication technology on supply chain resilience

PurposeIn today’s turbulent business environment, firms continually turn to technology as a panacea for supply chain resilience and performance problems. This article seeks to understand if information and communication technology (ICT) platforms, specifically cloud-based platforms, differ in their ability to enable supply chain resilience and operational performance.Design/methodology/approachEmpirical survey data was gathered, and a partial least squares structural equation model was performed on responses from 174 logistics and supply chain operations managers. A multigroup analysis compared the structural model measures of cloud-based and non-cloud-based platforms.FindingsThis research provides evidence that supply chain resilience and performance are agnostic of the ICT platform type and deeply rooted in the relational antecedents of cooperation and coordination. Tangentially, this study confirms concepts of coordination and cooperation supported by ICT are antecedents to the robustness and agility of supply chains. Moreover, empirical evidence also reveals that supply chain robustness mediates the relationships between supply chain agility, coordination and cooperation.Practical implicationsWhile firms continually seek technological solutions to bolster the resilience of their supply chains, we show that they should focus on developing the social elements of supply chain partnerships.Originality/valueThis study’s examination of the influence of ICT on supply chain resilience and performance contributes to the growing body of empirical analysis in the literature. Through its theoretical lens, this article deepens the understanding of analyzing supply chain resilience and performance measures between firms utilizing different ICT platforms.

Digitization and information technologies in the professional activity of a lawyer in modern conditions

The article is devoted to the analysis of the application of new technical tools and complex approaches to the digitization of advocacy activities to meet the needs of clients in legal assistance, which allows to ensure a higher quality level of legal business. Digitization of the legal profession, remoteness in communication with colleagues and clients has caused a demand for improving the skills of lawyers in working with various information platforms among lawyers and representatives of the legal business. A lawyer is considered as a person who uses, consumes and further analyzes legal information for the protection of legal rights and interests of clients, not as an end consumer. Problems in the digital provision of legal aid in modern Ukraine under martial law conditions have been identified, such as: the impossibility of offline meetings with clients; generation of electronic evidence for the recording of crimes or offenses and confirmation of damage caused to legal entities or individuals, paper document circulation. Digitization of advocacy as the main way to overcome the problems of defense activity. The development of information technologies in recent times and modern realities have caused a rather rapid introduction of information technologies and services in the field of advocacy and other legal areas. Therefore, the process of digitization of the legal profession is perceived as a positive phenomenon, because it can ensure the level of effective protection of the rights and legitimate interests of legal entities and individuals living or staying on the territory of Ukraine under martial law. It has been established that the application of scientific and technical achievements requires the presence of certain knowledge, abilities and skills. It is substantiated that the lack of technical support can create an obstacle in the lawyer’s proper execution of client assignments. The need to provide lawyers with their own online security and cyber security of their clients, assistants and interns is emphasized in order to prevent situations of disclosing attorney secrets, harming other lawyers, such as the authority or reputation or the institution of advocacy in general. It is noted that one of the aspects of the problems of advocacy is the dilemma of using or not using licensed software.

Soil information system of the Ukrainian Carpathians

The theoretical aspects and practical approaches to the creation of a soil information system on the example of the Ukrainian Carpathians, which is based on the use of vectorised large-scale soil mapping materials and GIS tools, are considered. The study is devoted to the development of a soil information system for the Ukrainian Carpathians, which integrates vectorised large-scale soil maps and GIS technologies to ensure efficient collection, storage and monitoring of soil data. The scientific novelty of the work is the creation of a multi-level information platform that combines data of different granularity and allows monitoring of soil transects, profiles, and genetic horizons, as well as determining spatial relationships between point and polygonal objects. Particular attention was paid to collecting cartographic materials reflecting the soil cover of the Ukrainian Carpathians and formalising the data for further integration into the soil information system. The system supports analytical tools that allow calculating various geometric, physical and chemical parameters of soil objects. The use of modern GIS tools enables accurate monitoring and forecasting of changes in soil cover under the influence of natural and anthropogenic factors, making it an important tool for the rational management of soil resources in the Carpathians. The developed system allows storing and updating information, which ensures its adaptability to changes in data analysis and processing methods. This not only increases the efficiency of monitoring, but also ensures the flexibility of the system for the specific needs of users. The practical significance lies in the possibility of using this system for soil protection, sustainable land management, and environmental safety. Expansion of this system to the entire territory of Ukraine will provide additional opportunities for effective monitoring and forecasting of changes in soil cover on a national scale, contributing to sustainable development and environmental protection. Key words: soil information systems; Ukrainian Carpathians; remote sensing; soil database.

IT-based health event surveillance in mass gathering - Kumbh Mela 2021, Haridwar, Uttarakhand

The Kumbh Mela is a large religious mass gathering event organised in India. During April 01 to April 30, 2021, Kumbh Mela was organized in Haridwar, Uttarakhand, India in the amid of COVID-19 pandemic. To detect and respond to unusual health events, a special surveillance model was established during Kumbh Mela-2021, Haridwar. The Kumbh module of Integrated Health Information Platform (IHIP) is utilized for real time data capturing. An Emergency Operations Centre (EOC) established to monitor COVID-19 and other disease situations through IHIP. Capacity building of Rapid Response Teams (RRT) was conducted. The special surveillance monitored 24 diseases/ syndromes. Kumbh mela area was divided into 4 zones with total 75 health facilities. A total of 31021 cases were reported on IHIP, including 86% communicable diseases (CDs), 8% non-communicable diseases (NCDs) and 6% unusual syndrome. Among total CDs, 27% acute febrile illness (AFI), 25.3% acute respiratory illness (ARI), 19% water borne diseases (WBDs), 15% COVID-19 and 14% others encountered. Out of total NCDs, 67% trauma, 25% dog bite, 8% others. A total of 36 early warning signals generated and responded, of which 22% WBDs, 22% ARI, 17% COVID-19, 14% AFI, 11% unusual syndrome and 14% others. The special disease surveillance helped monitoring health event alerts and health condition alerts. EOC monitored early warning signals and facilitated early detection and quick response to public health threats. Acute febrile illnesses emerged as a leading cause of morbidity. Future Mass Gathering events like Kumbh Mela should include disease surveillance as part of planning and augment capacity to diagnose and management of acute febrile illness.

Diffusion of Innovation in Hospitals: Exploring the Benefits and Challenges of Using Instagram

Instagram is a potential platform for disseminating information to the public, mainly health-related information. The Tanah Abang Regional General Hospital (RSUD Tanah Abang) has adopted Instagram as a medium for providing health information and services. This study aims to analyze the utilization of Instagram by RSUD Tanah Abang as an information platform for the public. The research used a qualitative approach with a constructivist paradigm, employing the Diffusion of Innovation theory as an analytical tool. Data was collected through observations of the @rsudtanahabang account and in-depth interviews with the public relations team and its followers. The findings show that RSUD Tanah Abang adopted Instagram due to its relative advantages over conventional media, such as fast information dissemination, two-way interaction capabilities, and ease of developing engaging content. The @rsudtanahabang account successfully increased public engagement in conveying health information. Interactive features like Instagram Feed, Stories, Reels, and Instagram Live strengthen the two-way interaction between the hospital and the public. Content on @rsudtanahabang is dynamically and regularly managed, following social media trends to ensure the information remains relevant and engaging. Instagram has proven to be a compatible tool for disseminating service-related information, such as doctor schedules, strategic health issues, treatment procedures, and health education. However, several challenges were identified and deemed necessary by the hospital, including (1) maintaining the consistency of information shared through Instagram. The hospital must ensure that the content published is always accurate, relevant, and adheres to medical protocols, and (2) managing negative comments responsively and professionally to preserve the hospital’s reputation.

Data Governance and Distribution of Biobank: A Case from a Chinese Cancer Hospital.

Objectives: To facilitate the regionalization, specialization, and digitization of biobanks, three issues regarding data collection and application must be addressed (1) integration and distribution of data governance, (2) efficiency and efficacy of data governance, and (3) sustainability of data governance. Methods: We collaborated with stakeholders to identify priorities and assess infrastructure needs through the continuous evaluation and analysis of projects. We developed data management solutions, catalogs, and data models to optimize and support data collection, distribution, and application. Furthermore, ontologies were used to facilitate data integration from multiple sources, and Minimum Information About BIobank Data Sharing (MIABIS) was defined as accessible to all patients. To enhance data integrity, we conducted retrospective and prospective follow-up studies. Results: We completed infrastructure upgrades to match technical solutions and research demands. An information management software with six primary functional divisions was developed for data governance. We optimized the database structure and changed the biospecimen accumulation model from biospecimen-based to patient-centered and service-oriented. Subsequently, we specified 85 attributes of MIABIS to describe the biobank contents. A dual-pillar approach was adopted to expand the biobank's data in collaboration with other institutions, and MIABIS served as a bridge for both vertical and horizontal networks. From 2003 to 2021, we collected a total of 156,997 patient biospecimens/data from 20 cancer types, matching 53,113 cases from follow-up surveys. In addition, we supplied more than 40,000 biospecimens/data points for above 300 scientific research projects. Conclusions: An appropriate information platform for a biobank is fundamental to data collection, distribution, and application, particularly in the context of data-intensive research. We implemented a standardized scientific data structure to fulfill the research requirements. The sustainable development of a biobank depends on a scientific, standardized, and service-oriented data governance approach, along with the efficient utilization of emerging technologies.

Analysis of Ophthalmology Drug Clinical Trial Institutions in China: Challenges and Opportunities Under the Registration System

Objective: To analyze the status of ophthalmology drug clinical trial institutions in China following the implementation of the registration system and provide a reference for their development. Methods: An analysis was conducted using data from the Drug Clinical Trial Institution Registration Management Information Platform and the Drug Clinical Trial Registration and Information Publicity Platform of the National Medical Products Administration. The search period was up to April 19, 2024. Results: As of April 19, 2024, 314 ophthalmology-specific institutions were registered nationwide, comprising 274 comprehensive medical institutions and 40 specialized ophthalmology institutions, representing a 245% increase compared to the qualification certification phase. There were 965 major researchers in ophthalmology, accounting for 6.3% of the total number of researchers across all registered ophthalmology institutions. These institutions were predominantly located in economically developed areas such as Guangdong, Zhejiang, and Jiangsu Provinces, with the top five provinces and cities comprising 39.8% of the total registered institutions. Beijing had the highest number of major researchers (126), with their distribution positively correlated with the geographic spread of registered institutions. Furthermore, as of April 19, 2024, there were 216 clinical drugs related to eye diseases, with the top three provinces conducting 77.8% of national clinical trial projects. The number of institutions was directly proportional to the volume of clinical trials conducted. Conclusion: The implementation of the registration system has facilitated the release of ophthalmic medical resources. However, regional disparities remain in the number of ophthalmology-specific institutions, the availability of major investigators, and the distribution of clinical trial projects.

Online Communities of Practises as Agricultural Information Platforms: A Case Study of Indonesian Shrimp Farmers during the COVID-19 Pandemic

Amidst the challenges of the COVID-19 pandemic, this study examines the potential of Online Communities of Practises (OCoPs) for providing agricultural extension services. Using a unique dataset of 1,574 shrimp farmers, including members of one of Indonesia's largest public OCoP Facebook groups, we found that despite the pandemic, Indonesian farmers continue to rely primarily on their neighbours for farming information, utilising OCoPs only as a complementary resource. This reliance may stem from the fragmented and codified nature of information shared by OCoP members, making it challenging to access specific and useful farming information, particularly on shrimp disease, and difficult to revalidate practices in the field. Consequently, farmers prefer to observe their neighbours’ practices and replicate their farming success, given similar ecological prerequisites. To compensate for these shortcomings, it is recommended that context-specific and timely information from conventional extension services be integrated into OCoPs.

Views and experiences of young people on using mHealth platforms for sexual and reproductive health services in rural low-and middle-income countries: A qualitative systematic review.

In low- and middle-income countries (LMICs), reproductive health programs use mobile health (mHealth) platforms to deliver a broad range of SRH information and services to young people in rural areas. However, young people's experiences of using mobile phone platforms for SRH services in the rural contexts of LMICs remains unexplored. This review qualitatively explored the experiences and perceptions of young people's use of mobile phone platforms for SRH information and services. This qualitative evidence synthesis was conducted through a systematic search of online databases: Medline, Embase, CINAHL, PsycInfo and Scopus. We included peer reviewed articles that were conducted between 2000 to 2023 and used qualitative methods. The methodological quality of papers was assessed by two authors using Grading of Recommendations, Assessment, Development and Evaluation (GRADE) and Confidence in Evidence from Reviews of Qualitative research (CERQual) approach with the identified papers synthesized using a narrative thematic analysis approach. The 26 studies included in the review were conducted in a wide range of LMIC rural settings. The studies used seven different types of mHealth platforms in providing access to SRH information and services on contraception, family planning, sexually transmitted infections (STIs) and human immunodeficiency virus (HIV) education. Participant preferences for use of SRH service platforms centred on convenience, privacy and confidentiality, as well as ease and affordability. High confidence was found in the studies preferencing text messaging, voice messaging, and interactive voice response services while moderate confidence was found in studies focused on phone calls. The overall constraint for platforms services included poor and limited network and electricity connectivity (high confidence in the study findings), limited access to mobile phones and mobile credit due to cost, influence from socio-cultural norms and beliefs and community members (moderate confidence in the study findings), language and literacy skills constraints (high confidence in the study findings). The findings provide valuable information on the preferences of mHealth platforms for accessing SRH services among young people in rural settings in LMICs and the quality of available evidence on the topic. As such, the findings have important implications for health policy makers and implementers and mHealth technology platform developers on improving services for sustainable adoption and integration in LMIC rural health system.