Pub Date : 2023-11-14DOI: 10.1007/s40471-023-00337-9
DeAnnah R. Byrd, Danielle A. Martin, Rodney P. Joseph
{"title":"Environmental, Sociocultural, Behavioral, and Biological Factors Associated with Cognitive Decline, Alzheimer’s Disease, and Other Types of Dementia in Black Americans","authors":"DeAnnah R. Byrd, Danielle A. Martin, Rodney P. Joseph","doi":"10.1007/s40471-023-00337-9","DOIUrl":"https://doi.org/10.1007/s40471-023-00337-9","url":null,"abstract":"","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"90 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134901532","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}
Pub Date : 2023-11-14DOI: 10.1007/s40471-023-00338-8
Rothboury A. Doung, Jacqueline M. Garrick, Judit Marsillach
{"title":"Advances in the Use of Residual Newborn Dried Blood Spots Within Environmental Epidemiology","authors":"Rothboury A. Doung, Jacqueline M. Garrick, Judit Marsillach","doi":"10.1007/s40471-023-00338-8","DOIUrl":"https://doi.org/10.1007/s40471-023-00338-8","url":null,"abstract":"","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"120 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956702","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}
Pub Date : 2023-11-09DOI: 10.1007/s40471-023-00336-w
Nina H. Fefferman, John S. McAlister, Belinda S. Akpa, Kelechi Akwataghibe, Fahim Tasneema Azad, Katherine Barkley, Amanda Bleichrodt, Michael J. Blum, L. Bourouiba, Yana Bromberg, K. Selçuk Candan, Gerardo Chowell, Erin Clancey, Fawn A. Cothran, Sharon N. DeWitte, Pilar Fernandez, David Finnoff, D. T. Flaherty, Nathaniel L. Gibson, Natalie Harris, Qiang He, Eric T. Lofgren, Debra L. Miller, James Moody, Kaitlin Muccio, Charles L. Nunn, Monica Papeș, Ioannis Ch. Paschalidis, Dana K. Pasquale, J. Michael Reed, Matthew B. Rogers, Courtney L. Schreiner, Elizabeth B. Strand, Clifford S. Swanson, Heather L. Szabo-Rogers, Sadie J. Ryan
Abstract Purpose of Review Preparing for pandemics requires a degree of interdisciplinary work that is challenging under the current paradigm. This review summarizes the challenges faced by the field of pandemic science and proposes how to address them. Recent Findings The structure of current siloed systems of research organizations hinders effective interdisciplinary pandemic research. Moreover, effective pandemic preparedness requires stakeholders in public policy and health to interact and integrate new findings rapidly, relying on a robust, responsive, and productive research domain. Neither of these requirements are well supported under the current system. Summary We propose a new paradigm for pandemic preparedness wherein interdisciplinary research and close collaboration with public policy and health practitioners can improve our ability to prevent, detect, and treat pandemics through tighter integration among domains, rapid and accurate integration, and translation of science to public policy, outreach and education, and improved venues and incentives for sustainable and robust interdisciplinary work.
{"title":"A New Paradigm for Pandemic Preparedness","authors":"Nina H. Fefferman, John S. McAlister, Belinda S. Akpa, Kelechi Akwataghibe, Fahim Tasneema Azad, Katherine Barkley, Amanda Bleichrodt, Michael J. Blum, L. Bourouiba, Yana Bromberg, K. Selçuk Candan, Gerardo Chowell, Erin Clancey, Fawn A. Cothran, Sharon N. DeWitte, Pilar Fernandez, David Finnoff, D. T. Flaherty, Nathaniel L. Gibson, Natalie Harris, Qiang He, Eric T. Lofgren, Debra L. Miller, James Moody, Kaitlin Muccio, Charles L. Nunn, Monica Papeș, Ioannis Ch. Paschalidis, Dana K. Pasquale, J. Michael Reed, Matthew B. Rogers, Courtney L. Schreiner, Elizabeth B. Strand, Clifford S. Swanson, Heather L. Szabo-Rogers, Sadie J. Ryan","doi":"10.1007/s40471-023-00336-w","DOIUrl":"https://doi.org/10.1007/s40471-023-00336-w","url":null,"abstract":"Abstract Purpose of Review Preparing for pandemics requires a degree of interdisciplinary work that is challenging under the current paradigm. This review summarizes the challenges faced by the field of pandemic science and proposes how to address them. Recent Findings The structure of current siloed systems of research organizations hinders effective interdisciplinary pandemic research. Moreover, effective pandemic preparedness requires stakeholders in public policy and health to interact and integrate new findings rapidly, relying on a robust, responsive, and productive research domain. Neither of these requirements are well supported under the current system. Summary We propose a new paradigm for pandemic preparedness wherein interdisciplinary research and close collaboration with public policy and health practitioners can improve our ability to prevent, detect, and treat pandemics through tighter integration among domains, rapid and accurate integration, and translation of science to public policy, outreach and education, and improved venues and incentives for sustainable and robust interdisciplinary work.","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135285982","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}
Pub Date : 2023-10-20DOI: 10.1007/s40471-023-00334-y
Megan W. Harvey, Lisa Chasan-Taber
{"title":"Effect of Body Image on Gestational Weight Gain: a Systematic Review","authors":"Megan W. Harvey, Lisa Chasan-Taber","doi":"10.1007/s40471-023-00334-y","DOIUrl":"https://doi.org/10.1007/s40471-023-00334-y","url":null,"abstract":"","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135617787","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}
Pub Date : 2023-09-22DOI: 10.1007/s40471-023-00331-1
Catherine R. Lesko, Lauren C. Zalla, James Heyward, Corey Joseph, Jessie K. Edwards
{"title":"Weighing Risks and Benefits in the Presence of Competing Risks","authors":"Catherine R. Lesko, Lauren C. Zalla, James Heyward, Corey Joseph, Jessie K. Edwards","doi":"10.1007/s40471-023-00331-1","DOIUrl":"https://doi.org/10.1007/s40471-023-00331-1","url":null,"abstract":"","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060076","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}
Purpose of review: Data science is an exploding trans-disciplinary field that aims to harness the power of data to gain information or insights on researcher-defined topics of interest. In this paper we review how data science can help advance environmental health research.
Recent findings: We discuss the concepts computationally scalable handling of Big Data and the design of efficient research data platforms, and how data science can provide solutions for methodological challenges in environmental health research, such as high-dimensional outcomes and exposures, and prediction models. Finally, we discuss tools for reproducible research.
Summary: In this paper we present opportunities to improve environmental research capabilities by embracing data science, and the pitfalls that environmental health researchers should avoid when employing data scientific approaches. Throughout the paper, we emphasize the need for environmental health researchers to collaborate more closely with biostatisticians and data scientists to ensure robust and interpretable results.
{"title":"Data Science in Environmental Health Research.","authors":"Christine Choirat, Danielle Braun, Marianthi-Anna Kioumourtzoglou","doi":"10.1007/s40471-019-00205-5","DOIUrl":"https://doi.org/10.1007/s40471-019-00205-5","url":null,"abstract":"<p><strong>Purpose of review: </strong>Data science is an exploding trans-disciplinary field that aims to harness the power of data to gain information or insights on researcher-defined topics of interest. In this paper we review how data science can help advance environmental health research.</p><p><strong>Recent findings: </strong>We discuss the concepts computationally scalable handling of Big Data and the design of efficient research data platforms, and how data science can provide solutions for methodological challenges in environmental health research, such as high-dimensional outcomes and exposures, and prediction models. Finally, we discuss tools for reproducible research.</p><p><strong>Summary: </strong>In this paper we present opportunities to improve environmental research capabilities by embracing data science, and the pitfalls that environmental health researchers should avoid when employing data scientific approaches. Throughout the paper, we emphasize the need for environmental health researchers to collaborate more closely with biostatisticians and data scientists to ensure robust and interpretable results.</p>","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"6 3","pages":"291-299"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40471-019-00205-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49687088","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}
Pub Date : 2018-01-01Epub Date: 2018-09-28DOI: 10.1007/s40471-018-0171-y
Grace A Noppert, Ryan E Malosh, Elizabeth B Moran, Shama D Ahuja, Jon Zelner
Purpose of review: Socioeconomic status (SES) has long been understood to be a key determinant of the distribution of tuberculosis (TB), and the role of social factors has long been a truism of TB epidemiology. We review studies that have examined the social determinants of TB in the USA in the past 20 years. We pay particular attention to how the findings of these studies fit within the framework of fundamental cause theory and argue that a more explicit linkage with fundamental cause theory is critical for understanding the current state of TB health disparities in the USA and for charting a way towards TB elimination in the USA.
Recent findings and summary: Our review finds that while in the past 20 years there have been studies that have documented the ongoing association between social factors and TB disease in the USA, few studies explore the precise mechanisms through which social factors continue to influence TB patterns. We advocate for a move towards a system-based approach both in theory development and analyses, allowing for the incorporation of more complex social dynamics to address long-standing disparities in TB disease.
{"title":"Contemporary Social Disparities in TB Infection and Disease in the USA: a Review.","authors":"Grace A Noppert, Ryan E Malosh, Elizabeth B Moran, Shama D Ahuja, Jon Zelner","doi":"10.1007/s40471-018-0171-y","DOIUrl":"https://doi.org/10.1007/s40471-018-0171-y","url":null,"abstract":"<p><strong>Purpose of review: </strong>Socioeconomic status (SES) has long been understood to be a key determinant of the distribution of tuberculosis (TB), and the role of social factors has long been a truism of TB epidemiology. We review studies that have examined the social determinants of TB in the USA in the past 20 years. We pay particular attention to how the findings of these studies fit within the framework of fundamental cause theory and argue that a more explicit linkage with fundamental cause theory is critical for understanding the current state of TB health disparities in the USA and for charting a way towards TB elimination in the USA.</p><p><strong>Recent findings and summary: </strong>Our review finds that while in the past 20 years there have been studies that have documented the ongoing association between social factors and TB disease in the USA, few studies explore the precise mechanisms through which social factors continue to influence TB patterns. We advocate for a move towards a system-based approach both in theory development and analyses, allowing for the incorporation of more complex social dynamics to address long-standing disparities in TB disease.</p>","PeriodicalId":94310,"journal":{"name":"Current epidemiology reports","volume":"5 4","pages":"442-449"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40471-018-0171-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41224632","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：