Online journal of public health informatics最新文献

{"title":"Commentary: Does Twitter have a role in improving Family Planning messages and services in Low-and-Middle-Income Countries (LMICs)?","authors":"Denise Harrison,&nbsp;Saumya RamaRao,&nbsp;Dinesh Vijeyakumar,&nbsp;James McKinnon,&nbsp;Kristina Brown,&nbsp;Stanley Mierzwa","doi":"10.5210/ojphi.v13i2.11094","DOIUrl":"https://doi.org/10.5210/ojphi.v13i2.11094","url":null,"abstract":"<p><p>Stakeholders are coming together to develop a vision for increasing access to family planning (FP) by 2030. Of the 923 million women in the developing world who wish to avoid a pregnancy, 218 million women are not using a modern contraceptive (Guttmacher Institute, 2020). In 2016, over 3.4 billion people were using the internet (https://ourworldindata.org/internet 2016). Moreover, internet users in the developing world use social media more frequently than Internet users in the U.S. and Europe. Of the many proposed actions to accelerate progress in family planning, the use of Twitter should be a key component. In this commentary, we describe the use of Twitter in a select group of low-and-middle-income countries that have made commitments to the family planning 2020 initiative (FP2020 countries and have the potential to leverage Twitter with current and potential family planning users. We examine Twitter feeds in eight key FP2020 countries, and we look at the content of Tweets issued by the ministries of health in most of these same countries. Our view is that it is feasible and easy to access Twitter feeds in low-and -middle income countries. We base our view on the types of reproductive health and family planning terms discussed in a public forum such as Twitter by current and potential users and their partners and ministries of health. We highlight two broad considerations that merit discussion among interested stakeholders, including policy makers, program designers, and health advocates. The first relates to the use of Twitter within family planning programs, and the second relates to themes that require more significant research. Data coupled with analytical capacity will help policy makers and program designers to effectively leverage Twitter for expanding the reach of family planning services and influencing social media policy. Our aim is to not only to contribute to the body of knowledge but also to spur greater engagement by program personnel, researchers, health advocates and contraceptive users.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 2","pages":"e11"},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500783/pdf/ojphi-13-2-e11.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39527842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visual Analytics of Tuberculosis Detection Rat Performance.","authors":"Joan Jonathan,&nbsp;Camilius Sanga,&nbsp;Magesa Mwita,&nbsp;Georgies Mgode","doi":"10.5210/ojphi.v13i2.11465","DOIUrl":"https://doi.org/10.5210/ojphi.v13i2.11465","url":null,"abstract":"<p><p>The diagnosis of tuberculosis (TB) disease remains a global challenge, and the need for innovative diagnostic approaches is inevitable. Trained African giant pouched rats are the scent TB detection technology for operational research. The adoption of this technology is beneficial to countries with a high TB burden due to its cost-effectiveness and speed than microscopy. However, rats with some factors perform better. Thus, more insights on factors that may affect performance is important to increase rats' TB detection performance. This paper intends to provide understanding on the factors that influence rats TB detection performance using visual analytics approach. Visual analytics provide insight of data through the combination of computational predictive models and interactive visualizations. Three algorithms such as Decision tree, Random Forest and Naive Bayes were used to predict the factors that influence rats TB detection performance. Hence, our study found that age is the most significant factor, and rats of ages between 3.1 to 6 years portrayed potentiality. The algorithms were validated using the same test data to check their prediction accuracy. The accuracy check showed that the random forest outperforms with an accuracy of 78.82% than the two. However, their accuracies difference is small. The study findings may help rats TB trainers, researchers in rats TB and Information systems, and decision makers to improve detection performance. This study recommends further research that incorporates gender factors and a large sample size.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 2","pages":"e12"},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500793/pdf/ojphi-13-2-e12.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39527843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing Evidence-based Population Health Informatics curriculum: Integrating competency based model and job analysis.","authors":"Ashish Joshi,&nbsp;Irene Bruce,&nbsp;Chioma Amadi,&nbsp;Jaya Amatya","doi":"10.5210/ojphi.v13i1.11517","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11517","url":null,"abstract":"<p><p>With the rapid pace of technological advancements, public health professions require a core set of informatics skills. The objective of the study is to integrate informatics competencies and job analysis to guide development of an evidence-based curriculum framework and apply it towards creation of a population health informatics program. We conducted content analysis of the Population Health Informatics related job postings in the state of New York between June and July 2019 using the Indeed job board. The search terms included \"health informatics\" and \"population health informatics.\" The initial search yielded 496 job postings. After removal of duplicates, inactive postings and that did not include details of the positions' responsibilities resulted in 306 jobs. Information recorded from the publicly available job postings included job categories, type of hiring organization, educational degree preferred and required, work experience preferred and required, salary information, job type, job location, associated knowledge, skills and expertise and software skills. Most common job title was that of an analyst (21%, n=65) while more than one-third of the hiring organizations were health systems (35%, n=106). 95% (n=291) of the jobs were fulltime and nearly half of these jobs were in New York City (47%, n=143). Data/statistical analysis (68%, n=207), working in multidisciplinary teams (35%, n=108), and biomedical/clinical experience (30%, n=93) were the common skills needed. Structured query language (SQL), Python, and R language were common programming language skills. A broad framework of integrating informatics competencies, combined with analysis of the skills the jobs needed, and knowledge acquisition based on global health informatics projects guided the development of an online population health informatics curriculum in a rapidly changing technological environment.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e10"},"PeriodicalIF":0.0,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238051/pdf/ojphi-13-e10.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39149553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design Thinking to Create a Remote Patient Monitoring Platform for Older Adults' Homes.","authors":"H A Kolnick,&nbsp;Jennifer E Miller,&nbsp;Olivia Dupree,&nbsp;Lisa Gualtieri","doi":"10.5210/ojphi.v13i1.11582","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11582","url":null,"abstract":"<p><p>How might clinicians collect the vitals needed for effective scheduled video visits for older adults? This challenge was presented by AARP to graduate students in a Digital Health course at Tufts University School of Medicine. The design thinking process was used to create a product that would meet this need, keeping the needs and constraints of older adults, especially those with chronic conditions or other barriers to health, central to the solution. The initial steps involved understanding and empathizing with the target audience through interviews and by developing personas and scenarios that identified barriers and opportunities. The later steps were to ideate potential solutions, design a prototype, and define product success. The design thinking process led to the design of Home Health Hub, a remote patient monitoring (RPM) platform designed to meet the unique needs of older adults. Additionally, Home Health Hub can conceivably benefit all users of telehealth, regardless of health status-an important need during the COVID-19 pandemic, and in general due to increased use of virtual visits. Home Health Hub is one example of what can be achieved with the dedicated use of design thinking. The design thinking process can benefit public health practice as a whole by encouraging practitioners to delve into a problem to find the root causes and empathize with the needs and constraints of stakeholders to design innovative, human-centered solutions.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e9"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216651/pdf/ojphi-13-1-e9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39113814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WA Notify: the planning and implementation of a Bluetooth exposure notification tool for COVID-19 pandemic response in Washington State.","authors":"Tiffany Chen,&nbsp;Janet Baseman,&nbsp;William B Lober,&nbsp;Debra Revere,&nbsp;Rebecca Hills,&nbsp;Nola Klemfuss,&nbsp;Bryant T Karras","doi":"10.5210/ojphi.v13i1.11694","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11694","url":null,"abstract":"<p><p>Bluetooth exposure notification tools for mobile phones have emerged as one way to support public health contact tracing and mitigate the spread of COVID-19. Many states have launched their own versions of these tools. Washington State's exposure notification tool, WA Notify, became available on November 30, 2020, following a one-month Seattle campus pilot at the University of Washington. By the end of April 2021, 25% of the state's population had activated WA Notify, one of the highest adoption rates in the country. Washington State's formation of an Exposure Notification Advisory Committee, early pilot testing, and use of the EN Express system framework were all important factors in its adoption. Continuous monitoring and willingness to make early adjustments such as switching to automated texting of verification codes have also been important for improving the tool's value. Evaluation work is ongoing to determine and quantify WA Notify's effectiveness, timeliness, and accessibility.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e8"},"PeriodicalIF":0.0,"publicationDate":"2021-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216404/pdf/ojphi-13-1-e8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39113813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19: an Alarm to Move Faster towards \"Smart Hospitals\".","authors":"Seyyed Mohammad Tabatabaei,&nbsp;Marjan Rasoulian Kasrineh,&nbsp;Nahid Sharifzadeh,&nbsp;Moslem Taheri Soodejani","doi":"10.5210/ojphi.v13i1.11515","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11515","url":null,"abstract":"While our lifestyle is now influenced by novel technologies, we are challenged by the burden of a mysterious disease called COVID-19. It began from Wuhan, China, in late 2019 and spread rapidly around the world and has caused unprecedented health, social and economic challenges worldwide so far [1]. This virus is mostly transmitted through person-to-person contact; due to the fact that it is mostly transmitted through respiration, it is very contagious and can spread quickly in society [2]. This is why all researchers around the world are trying to find an appropriate solution to control this pandemic and reduce the losses and damages caused by it until a suitable therapeutic solution is reached.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e7"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8177960/pdf/ojphi-13-1-e7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39014999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Public Health Informatics Solution to Improving Food Safety in Restaurants: Putting the Missing Piece in the Puzzle.","authors":"Melanie J Firestone,&nbsp;Sripriya Rajamani,&nbsp;Craig W Hedberg","doi":"10.5210/ojphi.v13i1.11087","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11087","url":null,"abstract":"<p><p>Foodborne illnesses remain an important public health challenge in the United States causing an estimated 48 million illnesses, 128,000 hospitalizations, and 3,000 deaths per year. Restaurants are frequent settings for foodborne illness transmission. Public health surveillance - the continual, systematic collection, analysis, and interpretation of reports of health data to prevent and control illness - is a prerequisite for an effective food control system. While restaurant inspection data are routinely collected, these data are not regularly aggregated like traditional surveillance data. However, there is evidence that these data are a valuable tool for understanding foodborne illness outbreaks and threats to food safety. This article discusses the challenges and opportunities for incorporating routine restaurant inspection data as a surveillance tool for monitoring and improving foodborne illness prevention activities. The three main challenges are: 1) lack of a national framework; 2) lack of data standards and interoperability; and 3) limited access to restaurant inspection data. Tapping into the power of public health informatics represents an opportunity to address these challenges. Advancing the food safety system by improving restaurant inspection information systems and making restaurant inspection data available to support decision-making represents an opportunity to practice smarter food safety.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e5"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075413/pdf/ojphi-13-1-e6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38860336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"StayHome: A FHIR-Native Mobile COVID-19 Symptom Tracker and Public Health Reporting Tool.","authors":"Hannah A Burkhardt,&nbsp;Pascal S Brandt,&nbsp;Jenney R Lee,&nbsp;Sierramatice W Karras,&nbsp;Paul F Bugni,&nbsp;Ivan Cvitkovic,&nbsp;Amy Y Chen,&nbsp;William B Lober","doi":"10.5210/ojphi.v13i1.11462","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11462","url":null,"abstract":"<p><p>As the COVID-19 pandemic continues to unfold and states experience the impacts of reopened economies, it is critical to efficiently manage new outbreaks through widespread testing and monitoring of both new and possible cases. Existing labor-intensive public health workflows may benefit from information collection directly from individuals through patient-reported outcomes (PROs) systems. Our objective was to develop a reusable, mobile-friendly application for collecting PROs and experiences to support COVID-19 symptom self-monitoring and data sharing with appropriate public health agencies, using Fast Healthcare Interoperability Resources (FHIR) for interoperability. We conducted a needs assessment and designed and developed StayHome, a mobile PRO administration tool. FHIR serves as the primary data model and driver of business logic. Keycloak, AWS, Docker, and other technologies were used for deployment. Several FHIR modules were used to create a novel \"FHIR-native\" application design. By leveraging FHIR to shape not only the interface strategy but also the information architecture of the application, StayHome enables the consistent standards-based representation of data and reduces the barrier to integration with public health information systems. FHIR supported rapid application development by providing a domain-appropriate data model and tooling. FHIR modules and implementation guides were referenced in design and implementation. However, there are gaps in the FHIR specification which must be recognized and addressed appropriately. StayHome is live and accessible to the public at https://stayhome.app. The code and resources required to build and deploy the application are available from https://github.com/uwcirg/stayhome-project.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e2"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075351/pdf/ojphi-13-1-e2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38860333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 Exposure Tracking Within Public Health & Safety Enterprises: Findings to Date & Opportunity for Further Research.","authors":"Jonathon S Feit,&nbsp;Christian C Witt","doi":"10.5210/ojphi.v13i1.11484","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11484","url":null,"abstract":"Where there is limited access to COVID-19 tests, or where the results of such tests have been delayed or even invalidated (e.g., California and Utah), there is a need for scalable alternative approaches-such as a heuristic model or \"pregnancy test for COVID-19\" that can factor in the time denominator (i.e., duration of symptoms). This paper asks whether infection among these public health and safety agencies is a \"canary in the coal mine,\" litmus test, or microcosm (pick your analogy) for the communities in which they operate. Can COVID-19 infection counts and rates be seen \"moving around\" communities by examining the virus's effect on emergency responders themselves? The troubling question of emergency responders becoming \"human indicator values\" is relevant to maintaining the health of Mobile Medicine (EMS and Fire) personnel, as well as Police, who are an under-attended population, because these groups our collective resiliency would crash. It has further implications for policies regarding, and investments in, exposure tracking and contact tracing, PPE acquisition, and mental and physical wellness. Design We aggregated data from four (4) different EMS documentation systems across twelve (12) states using the MEDIVIEW BEACON Prehospital Health Information Exchange. We then outputted lists of charts containing critical ICD-10 values that had been identified by the WHO, the CDC, and the Los Angeles County Fire Deptartment's EMS Bureau as inclusion criteria for possible signs, symptoms, and clinical impressions of COVID-19 infection. Results Three important results emerged from this study: (1) a demonstration of frequent exposure to possible COVID-19 infection among Mobile Medical (EMS & Fire) care providers in the states whose data were included; (2) a demonstration of the nervousness of the general population, given that calls for help due to possible COVID-19 based on symptomology exceeded the number of responses with a correlating \"provider impression\" after an informed clinical assessment; and (3) the fact that this study was empowered by a public-private partnerships between a technology startup and numerous public health and public safety agencies, offers a template for success in rapidly implementing research and development collaborations. Limitations This study incorporates data from only (a) twelve (12) states, and (b) four (4) Mobile Medical documentation systems. We sought to combat these limitations by ensuring that our sample crosses agencies types, geographies, population demographics, and municipal environments (i.e., rural vs. urban). Conclusions Other studies have noted that EMS agencies are tasked with transporting the \"sickest of the sick.\" We found that PPE is particularly essential where the frequency of encounters between potentially-or actually-infected patients is high, because from Los Angeles County to rural Texas, without sufficient protection, public health and public safety agencies have beco","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e3"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075415/pdf/ojphi-13-1-e3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38860334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19.","authors":"Jane L Snowdon,&nbsp;William Kassler,&nbsp;Hema Karunakaram,&nbsp;Brian E Dixon,&nbsp;Kyu Rhee","doi":"10.5210/ojphi.v13i1.11072","DOIUrl":"https://doi.org/10.5210/ojphi.v13i1.11072","url":null,"abstract":"<p><strong>Objective: </strong>To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic.</p><p><strong>Method: </strong>The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g., government, academic institutions, healthcare providers and payers, life science companies, employers, citizens) to address public health challenges across the prepare, respond, and recover phases of a pandemic, building on existing models for public health operations and response.</p><p><strong>Results: </strong>Mapping existing solutions, technology assets, and ideas to the framework helped identify public health informatics solution requirements and gaps in responding to COVID-19 in areas such as applied science, epidemiology, communications, and business continuity. Two examples of technologies used in COVID-19 illustrate novel applications of informatics encompassed by the framework. First, we examine a hub from The Weather Channel, which provides COVID-19 data via interactive maps, trend graphs, and details on case data to individuals and businesses. Second, we examine IBM Watson Assistant for Citizens, an AI-powered virtual agent implemented by healthcare providers and payers, government agencies, and employers to provide information about COVID-19 via digital and telephone-based interaction.</p><p><strong>Discussion: </strong>Early results from these novel informatics solutions have been positive, showing high levels of engagement and added value across stakeholders.</p><p><strong>Conclusion: </strong>The framework supports development, application, and evaluation of informatics approaches and technologies in support of public health preparedness, response, and recovery during a pandemic. Effective solutions are critical to success in recovery from COVID-19 and future pandemics.</p>","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"13 1","pages":"e1"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075350/pdf/ojphi-13-1-e1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38940415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}