K. Bader, Megan E. Roberts, Brittney Keller-Hamilton
Background: Poor dental health is a common chronic condition among youth. Appalachian versus metropolitan residence, socioeconomic status, and health behaviors contribute to poor dental health. Limited research has directly compared dental health and risk factors for poor dental health among Appalachian and metropolitan youth. We examined the association between dental health and residence among adolescent boys and explored socioeconomic and behavioral factors that may contribute to differences in dental health. Methods: Adolescent males from metropolitan and rural Appalachian Ohio (n = 1220, age 11-16 years) reported their diet and tobacco use. Parents or guardians reported when boys had last visited the dentist and rated their dental health (excellent/very good/good versus fair/poor). Unadjusted logistic regression modeled the association between fair/poor dental health and residence (metropolitan versus Appalachian). Adjusted analyses controlled for race, household income, dental visits, diet, and tobacco use. Results: Appalachian (versus metropolitan) boys were more likely to have used tobacco in the past 30 days and consumed fewer fruit and vegetables, more added sugar, and more sugary beverages. The relation between dental health and Appalachian versus metropolitan residence did not reach statistical significance, and adjusting for behavioral factors did little to change the observed association. Conclusion: Our findings suggest that some of the urban/rural disparities in dental health observed in other studies may be related to behavioral factors like tobacco use and diet, but much remains unexplained. We provide support for behavioral interventions to address these issues in the Appalachian community.
{"title":"An Examination of Dental Health Among Metropolitan and Appalachian Adolescents in Ohio","authors":"K. Bader, Megan E. Roberts, Brittney Keller-Hamilton","doi":"10.18061/ojph.v2i2.9029","DOIUrl":"https://doi.org/10.18061/ojph.v2i2.9029","url":null,"abstract":"Background: Poor dental health is a common chronic condition among youth. Appalachian versus metropolitan residence, socioeconomic status, and health behaviors contribute to poor dental health. Limited research has directly compared dental health and risk factors for poor dental health among Appalachian and metropolitan youth. We examined the association between dental health and residence among adolescent boys and explored socioeconomic and behavioral factors that may contribute to differences in dental health. Methods: Adolescent males from metropolitan and rural Appalachian Ohio (n = 1220, age 11-16 years) reported their diet and tobacco use. Parents or guardians reported when boys had last visited the dentist and rated their dental health (excellent/very good/good versus fair/poor). Unadjusted logistic regression modeled the association between fair/poor dental health and residence (metropolitan versus Appalachian). Adjusted analyses controlled for race, household income, dental visits, diet, and tobacco use. Results: Appalachian (versus metropolitan) boys were more likely to have used tobacco in the past 30 days and consumed fewer fruit and vegetables, more added sugar, and more sugary beverages. The relation between dental health and Appalachian versus metropolitan residence did not reach statistical significance, and adjusting for behavioral factors did little to change the observed association. Conclusion: Our findings suggest that some of the urban/rural disparities in dental health observed in other studies may be related to behavioral factors like tobacco use and diet, but much remains unexplained. We provide support for behavioral interventions to address these issues in the Appalachian community.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":"2 1","pages":"8 - 14"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46229274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pattama Ulrich, Lindsay McGovern, Jiyoung Lee, J. Stull, L. Backer, Samantha Eitniear
Background: Globally, harmful algal blooms (HABs) in freshwater are both a historical and an ongoing issue for human, animal, and ecosystem health and have dramatic impacts on local communities. Multiple taxa of cyanobacteria, including Microcystis, Planktothrix, and Anabaena species can produce cyanotoxins. Exposure to these toxins may cause mild to severe adverse health effects.Methods: An orchestrated effort was made by a team from multiple academic disciplines, public health agencies including the Centers for Disease Control and Prevention (CDC), and community stakeholders to engage the human and animal health communities to prepare for and respond to the emerging health threat of cyanotoxins from HABs.Results: Our public health practice approaches reached multiple targeted stakeholders from public health, human, and animal health sectors. The team also helped promote the newly established nationwide One Health Harmful Algal Bloom (OHHABs) initiative in a HABs hotspot in Ohio.Conclusion: Harmful algal blooms are a One Health issue demonstrating the interactions between animal, human, and ecological health. Environmental monitoring can provide early detection of environmental events, such as HABs, that pose both public health and ecological health threats. Public health surveillance can identify human and animal health events that may be linked to local environmental events
{"title":"One Health Outreach Efforts in Responding to Harmful Algal Blooms Issues in Hotspot Regions","authors":"Pattama Ulrich, Lindsay McGovern, Jiyoung Lee, J. Stull, L. Backer, Samantha Eitniear","doi":"10.18061/ojph.v2i2.9034","DOIUrl":"https://doi.org/10.18061/ojph.v2i2.9034","url":null,"abstract":"Background: Globally, harmful algal blooms (HABs) in freshwater are both a historical and an ongoing issue for human, animal, and ecosystem health and have dramatic impacts on local communities. Multiple taxa of cyanobacteria, including Microcystis, Planktothrix, and Anabaena species can produce cyanotoxins. Exposure to these toxins may cause mild to severe adverse health effects.Methods: An orchestrated effort was made by a team from multiple academic disciplines, public health agencies including the Centers for Disease Control and Prevention (CDC), and community stakeholders to engage the human and animal health communities to prepare for and respond to the emerging health threat of cyanotoxins from HABs.Results: Our public health practice approaches reached multiple targeted stakeholders from public health, human, and animal health sectors. The team also helped promote the newly established nationwide One Health Harmful Algal Bloom (OHHABs) initiative in a HABs hotspot in Ohio.Conclusion: Harmful algal blooms are a One Health issue demonstrating the interactions between animal, human, and ecological health. Environmental monitoring can provide early detection of environmental events, such as HABs, that pose both public health and ecological health threats. Public health surveillance can identify human and animal health events that may be linked to local environmental events","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42291018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Factor, Wallace Chambers, JoAnna “Anna” C. S. Kauffman, Tunu Kinebrew, Natasha Yonley, Ross M. Kauffman
Background: Human development is a holistic measure of well-being. The American Human Development Index (AHDI) operationalizes the concept for the American context, using a composite measure of income, education, and health. This work presents the first county-level examination of AHDI for the state of Ohio and examines the relationship between human development and controlled substance prescribing.Methods: Publicly available data from the census and prior publications were compiled to calculate county-level AHDI for all 88 Ohio counties. Correlations were examined between AHDI and 4 classes of controlled substances, opioids, benzodiazepines, stimulants, and sedatives, using Pearson product moment correlation coefficient.Results: County AHDI scores ranged from 3.3 to 7.6, with mean and median values of 4.8. At the county level, human development is negatively correlated with opioid (r = -0.46, r2 = 0.22, P <0.0001) and benzodiazepine (r = -0.43, r2 = 0.18, P <0.0001) prescribing and positively associated with stimulant prescribing (r = 0.49, r2 = 0.24, P <0.0001). Neither sedative prescribing practices (r = 0.09, P = 0.40) nor median age (r = -0.09, P = 0.41) were significantly correlated with AHDI.Conclusion: There is a strong correlation between AHDI and prescribing of several classes of controlled substanc-es. Work remains to ascertain mechanisms and directionality of these relationships. Whether higher prescribing in areas with lower human development is an attempt to medicate health inequity or low human development is an additional manifestation of the opioid epidemic, this study underscores the necessity of pursuing equity in all policies.
背景:人类发展是福祉的整体衡量标准。美国人类发展指数(AHDI)使用收入、教育和健康的综合衡量标准，将这一概念应用于美国的情况。这项工作提出了俄亥俄州AHDI的第一个县级检查，并审查了人类发展与管制药物处方之间的关系。方法:收集来自人口普查和先前出版物的公开数据，计算俄亥俄州所有88个县的县级AHDI。采用Pearson积矩相关系数检验AHDI与4类受控物质(阿片类药物、苯二氮卓类药物、兴奋剂和镇静剂)的相关性。结果:县AHDI评分范围为3.3 ~ 7.6，平均和中位数为4.8。在县域范围内，人类发展水平与阿片类药物(r = -0.46, r2 = 0.22, P <0.0001)和苯二氮卓类药物(r = -0.43, r2 = 0.18, P <0.0001)处方呈负相关，与兴奋剂处方呈正相关(r = 0.49, r2 = 0.24, P <0.0001)。镇静剂处方做法(r = 0.09, P = 0.40)和中位年龄(r = -0.09, P = 0.41)与AHDI均无显著相关。结论:AHDI与几类管制药品的处方有较强的相关性。工作仍需确定这些关系的机制和方向。无论在人类发展水平较低的地区开更多的处方是为了治疗健康不平等，还是人类发展水平较低是阿片类药物流行的另一种表现，这项研究都强调了在所有政策中追求公平的必要性。
{"title":"Human Development and Controlled Substance Prescribing in Ohio Counties","authors":"P. Factor, Wallace Chambers, JoAnna “Anna” C. S. Kauffman, Tunu Kinebrew, Natasha Yonley, Ross M. Kauffman","doi":"10.18061/ojph.v2i2.9031","DOIUrl":"https://doi.org/10.18061/ojph.v2i2.9031","url":null,"abstract":"Background: Human development is a holistic measure of well-being. The American Human Development Index (AHDI) operationalizes the concept for the American context, using a composite measure of income, education, and health. This work presents the first county-level examination of AHDI for the state of Ohio and examines the relationship between human development and controlled substance prescribing.Methods: Publicly available data from the census and prior publications were compiled to calculate county-level AHDI for all 88 Ohio counties. Correlations were examined between AHDI and 4 classes of controlled substances, opioids, benzodiazepines, stimulants, and sedatives, using Pearson product moment correlation coefficient.Results: County AHDI scores ranged from 3.3 to 7.6, with mean and median values of 4.8. At the county level, human development is negatively correlated with opioid (r = -0.46, r2 = 0.22, P <0.0001) and benzodiazepine (r = -0.43, r2 = 0.18, P <0.0001) prescribing and positively associated with stimulant prescribing (r = 0.49, r2 = 0.24, P <0.0001). Neither sedative prescribing practices (r = 0.09, P = 0.40) nor median age (r = -0.09, P = 0.41) were significantly correlated with AHDI.Conclusion: There is a strong correlation between AHDI and prescribing of several classes of controlled substanc-es. Work remains to ascertain mechanisms and directionality of these relationships. Whether higher prescribing in areas with lower human development is an attempt to medicate health inequity or low human development is an additional manifestation of the opioid epidemic, this study underscores the necessity of pursuing equity in all policies.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42115913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ohio Journal of Public Health Vol. 3, Issue 3 (December 2020): Full Issue","authors":"Ohio Public Health Association Opha","doi":"10.18061/ojph.v3i3.8038","DOIUrl":"https://doi.org/10.18061/ojph.v3i3.8038","url":null,"abstract":"No abstract available.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48366467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adolescent Health: Is it Time to Direct our Attention to Youth in Ohio?","authors":"A. Ferketich","doi":"10.18061/ojph.v2i2.9027","DOIUrl":"https://doi.org/10.18061/ojph.v2i2.9027","url":null,"abstract":"No abstract available.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44178945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edward T. Chiyaka, John A. Hoornbeek, Joshua Filla, M. Redding, Lynn Falletta, Lauren E. Birmingham, Pamela Ferguson
Background/Objectives: Ohio communities are developing and expanding care coordination initiatives to integrate care for low-income pregnant women. Some of these initiatives are guided by the Pathways Community HUB model, which uses community healthworkers to address health, social, and behavioral risks for at-risk populations. This study documents the development, challenges andmanagement responses, and lessons learned from implementing a Pathways Community HUB care coordination program for anotherpopulation -- low-income adults with chronic disease risks.Methods: The study utilizes data extracted from the Care Coordination Systems (CCS) database used in Lucas County, Ohio between2015 and 2017 and interviews with program managers. Based on CCS data and insights from those interviewed, we describe the development and accomplishments of a Pathways Community HUB program for adults with chronic illnesses and identify challenges and lessons learned.Results: The Toledo/Lucas County program addressed more than half of 3,515 identified health and behavioral risks for 651 low-income adults in the program during its first two years of operation. Key challenges included building community support, establishing capacities to coordinate care, and sustaining the program over time. Establishing community networks to support program services and developing multiple funding sources are key lessons for long-term program sustainability.Conclusions: Documenting challenges and successes of existing programs and extracting lessons to guide implementation of similarpublic health efforts can potentially improve delivery of interventions. The Pathways Community HUB model has demonstrated success in addressing risks among at-risk adults. However, more comprehensive assessments of the model across different populations are warranted.
{"title":"Using the Pathways Community HUB Care Coordination Model to Address Chronic Illnesses: A Case Study","authors":"Edward T. Chiyaka, John A. Hoornbeek, Joshua Filla, M. Redding, Lynn Falletta, Lauren E. Birmingham, Pamela Ferguson","doi":"10.18061/ojph.v2i1.9038","DOIUrl":"https://doi.org/10.18061/ojph.v2i1.9038","url":null,"abstract":"Background/Objectives: Ohio communities are developing and expanding care coordination initiatives to integrate care for low-income pregnant women. Some of these initiatives are guided by the Pathways Community HUB model, which uses community healthworkers to address health, social, and behavioral risks for at-risk populations. This study documents the development, challenges andmanagement responses, and lessons learned from implementing a Pathways Community HUB care coordination program for anotherpopulation -- low-income adults with chronic disease risks.Methods: The study utilizes data extracted from the Care Coordination Systems (CCS) database used in Lucas County, Ohio between2015 and 2017 and interviews with program managers. Based on CCS data and insights from those interviewed, we describe the development and accomplishments of a Pathways Community HUB program for adults with chronic illnesses and identify challenges and lessons learned.Results: The Toledo/Lucas County program addressed more than half of 3,515 identified health and behavioral risks for 651 low-income adults in the program during its first two years of operation. Key challenges included building community support, establishing capacities to coordinate care, and sustaining the program over time. Establishing community networks to support program services and developing multiple funding sources are key lessons for long-term program sustainability.Conclusions: Documenting challenges and successes of existing programs and extracting lessons to guide implementation of similarpublic health efforts can potentially improve delivery of interventions. The Pathways Community HUB model has demonstrated success in addressing risks among at-risk adults. However, more comprehensive assessments of the model across different populations are warranted.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41554252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ohio Journal of Public Health Vol. 2, Issue 1 (Summer 2019): Full Issue","authors":"Ohio Public Health Association Opha","doi":"10.18061/ojph.v2i1.9004","DOIUrl":"https://doi.org/10.18061/ojph.v2i1.9004","url":null,"abstract":"No abstract available.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42835938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Public Health and Politics","authors":"Joe Ebel","doi":"10.18061/ojph.v2i1.9041","DOIUrl":"https://doi.org/10.18061/ojph.v2i1.9041","url":null,"abstract":"No abstract available.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45666767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incarceration and Mental Health: The Often-Ignored Public Health Crisis","authors":"A. Ferketich","doi":"10.18061/ojph.v2i1.9035","DOIUrl":"https://doi.org/10.18061/ojph.v2i1.9035","url":null,"abstract":"No abstract available.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46123367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Clemens, Monica A. Longmore, P. Giordano, Wendy D. Manning
Background: Although some studies have found that incarceration is associated with young adults’ poor health, confounding factors including adolescent health risks, and mediating influences such as stress have not been examined in the same study. We assessed whether variation in criminal justice system experience (none, arrest only, incarceration) influenced young adults’ self-reported depressive symptoms and poor physical health after accounting for prospective risks to health including adolescent health risks. We then assessed whether stress mediated associations between criminal justice involvement and the two health indicators. Methods: Data are from Toledo Adolescent Relationships Study (TARS) (n =990), which included young adults, age 22–29, who have matured during the era characterized by mass incarceration. The dependent variables included a depressive symptoms scale and self-reported poor health. The adolescent health risks included economic disadvantage, body mass index, delinquency, problems with drugs, and prior depressive symptoms. We considered stress as a mediating variable. Sociodemographic characteristics included race/ethnicity, age, and gender. We used ordinary least squares regression and logistic regression analyses. We tested gender, race/ethnicity, and age interactions. Results: In multivariable models, incarceration, and adolescent health risks (economic disadvantage, prior depression, problems with drugs) were associated with young adults’ depressive symptoms, and stress was a mediating influence. Adolescent delinquency and stress, but not incarceration, were significantly associated with young adults’ self-reported poor health. Conclusion: This study provided a more nuanced understanding of incarceration and health by accounting for several key confounding factors and testing stress as a mechanism underlying the association. Care for prisoner health during and after incarceration is important for successful reintegration.
{"title":"Criminal Justice Involvement and Young Adult Health: The Role of Adolescent Health Risks and Stress","authors":"W. Clemens, Monica A. Longmore, P. Giordano, Wendy D. Manning","doi":"10.18061/ojph.v2i1.9083","DOIUrl":"https://doi.org/10.18061/ojph.v2i1.9083","url":null,"abstract":"Background: Although some studies have found that incarceration is associated with young adults’ poor health, confounding factors including adolescent health risks, and mediating influences such as stress have not been examined in the same study. We assessed whether variation in criminal justice system experience (none, arrest only, incarceration) influenced young adults’ self-reported depressive symptoms and poor physical health after accounting for prospective risks to health including adolescent health risks. We then assessed whether stress mediated associations between criminal justice involvement and the two health indicators. Methods: Data are from Toledo Adolescent Relationships Study (TARS) (n =990), which included young adults, age 22–29, who have matured during the era characterized by mass incarceration. The dependent variables included a depressive symptoms scale and self-reported poor health. The adolescent health risks included economic disadvantage, body mass index, delinquency, problems with drugs, and prior depressive symptoms. We considered stress as a mediating variable. Sociodemographic characteristics included race/ethnicity, age, and gender. We used ordinary least squares regression and logistic regression analyses. We tested gender, race/ethnicity, and age interactions. Results: In multivariable models, incarceration, and adolescent health risks (economic disadvantage, prior depression, problems with drugs) were associated with young adults’ depressive symptoms, and stress was a mediating influence. Adolescent delinquency and stress, but not incarceration, were significantly associated with young adults’ self-reported poor health. Conclusion: This study provided a more nuanced understanding of incarceration and health by accounting for several key confounding factors and testing stress as a mechanism underlying the association. Care for prisoner health during and after incarceration is important for successful reintegration.","PeriodicalId":74337,"journal":{"name":"Ohio journal of public health","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47278600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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