Duncan and Sociology as a Population Science

2021 ◽  
pp. 147-165
Keyword(s):  
2002 ◽  
Vol 32 (5-6) ◽  
pp. 857-899 ◽  
Author(s):  
Edmund Ramsden
Keyword(s):  

2021 ◽  
pp. 199-210
Author(s):  
Steven M. Albert ◽  
Edmund Ricci

Convergence is best approached through a systems science lens because it includes multiple levels of influence and organization and a host of mutually reinforcing elements. Each of these factors requires behavioral and social science research to ensure that convergence is appropriately anchored in the experience of patients and their communities. For example, the continuous assessment of mental state made possible through real-time mobile app recording of voice, movement, and biosignatures will be much less effective if people reject it because of privacy concerns or if this monitoring is not adequately linked to choices for self-care. Patients may need in-person contact with a therapist to choose an appropriate app and in-person boosters to support effective use. Use of the app and its effectiveness accordingly depend on social-behavioral factors. Likewise, the social and behavioral sciences are central for shortening the time between development and translation of mental health treatments and programs. Including the social and behavioral sciences in mental health convergence science suggests the need for broad-scale efforts that link mental health to population science to systems thinking. This effort places mental health within the broader framework of population health and to implementation science for reducing the time from development of a new treatment to its widespread use. The approach has implications for data collection and analysis in that it entails much larger datasets and need for greater computational power.


2019 ◽  
Vol 11 (2) ◽  
pp. 355-368 ◽  
Author(s):  
Ernest Agee ◽  
Lindsey Taylor

Abstract The record of tornado fatalities in the United States for over two centuries (1808–2017) and decadal census records have been examined to search for historical trends. Particular attention has been given to the response to population growth and expansion into the tornado-prone regions of the country. The region selected includes the Tornado Alley of the central Great Plains, the Dixie Alley in the southeastern states, and the adjoining states in the Midwest that collectively encompass a 21-state rectangular region. The data record has been divided into two subintervals, Era A (1808–1915) and Era B (1916–2017), each of which consists of three equal-length periods. Era A is characterized by a growing and westward expanding population along with a basic absence of scientific knowledge, technology, and communications (for prediction, detection, and warning). This is followed by a renaissance of discovery and advancement in Era B that contributes to saving lives. The aforementioned periods are defined by a set of notable events that help to define the respective periods. A death per population index (DPI) is used to evaluate the 21 states in each era; there is a rise of mean DPI values to a maximum of 1.50 at the end of Era A and a subsequent fall to 0.21 at the end of Era B. It is also shown for all three periods in Era B that the deadliest tornado states, in ranked order, are Arkansas, Mississippi, Alabama, and Oklahoma. Suggestions are presented for ways to continue the decreasing trend in DPI, which would imply that the death rate increase is not as fast as the rate of population increase (or would even imply a decreasing death rate).


Addiction ◽  
1995 ◽  
Vol 90 (11) ◽  
pp. 1441-1443 ◽  
Author(s):  
Michael G. Marmot
Keyword(s):  

2020 ◽  
pp. 108-116
Author(s):  
Jill S. Barnholtz-Sloan ◽  
Dana E. Rollison ◽  
Amrita Basu ◽  
Alexander D. Borowsky ◽  
Alex Bui ◽  
...  

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute–funded cancer centers. Although each of the participating cancer centers is structured differently, and leaders’ titles vary, we know firsthand there are similarities in both the issues we face and the solutions we achieve. As a consortium, we have initiated a dedicated listserv, an open-initiatives program, and targeted biannual face-to-face meetings. These meetings are a place to review our priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues we, as informatics leaders, individually face at our respective institutions and cancer centers. Here we provide a brief history of the CI4CC organization and meeting highlights from the latest CI4CC meeting that took place in Napa, California from October 14-16, 2019. The focus of this meeting was “intersections between informatics, data science, and population science.” We conclude with a discussion on “hot topics” on the horizon for cancer informatics.


JAMA ◽  
2010 ◽  
Vol 304 (20) ◽  
pp. 2288 ◽  
Author(s):  
J. Michael Gaziano
Keyword(s):  

2010 ◽  
Vol 31 (S1) ◽  
pp. S7-S10 ◽  
Author(s):  
Louis B. Rice

The ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, andEnterobacterspecies) are responsible for a substantial percentage of nosocomial infections in the modern hospital and represent the vast majority of isolates whose resistance to antimicrobial agents presents serious therapeutic dilemmas for physicians. Over the years, improved molecular biology techniques have led to detailed information about individual resistance mechanisms in all these pathogens. However, there remains a lack of compelling data on the interplay between resistance mechanisms and between the bacteria themselves. In addition, data on the impact of clinical interventions to decrease the prevalence of resistance are also lacking. The difficulty in identifying novel antimicrobial agents with reliable activity against these pathogens argues for an augmentation of research in the basic and population science of resistance, as well as careful studies to identify optimal strategies for infection control and antimicrobial use.


2007 ◽  
Vol 16 (8) ◽  
pp. 1533-1535 ◽  
Author(s):  
Shannon M. Lemrow ◽  
Graham A. Colditz ◽  
Jimmie B. Vaught ◽  
Patricia Hartge

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6230 ◽  
Author(s):  
Jonas S. Almeida ◽  
Janos Hajagos ◽  
Joel Saltz ◽  
Mary Saltz

In a previous report, we explored the serverless OpenHealth approach to the Web as a Global Compute space. That approach relies on the modern browser full stack, and, in particular, its configuration for application assembly by code injection. The opportunity, and need, to expand this approach has since increased markedly, reflecting a wider adoption of Open Data policies by Public Health Agencies. Here, we describe how the serverless scaling challenge can be achieved by the isomorphic mapping between the remote data layer API and a local (client-side, in-browser) operator. This solution is validated with an accompanying interactive web application (bit.ly/loadsparcs) capable of real-time traversal of New York’s 20 million patient records of the Statewide Planning and Research Cooperative System (SPARCS), and is compared with alternative approaches. The results obtained strengthen the argument that the FAIR reproducibility needed for Population Science applications in the age of P4 Medicine is particularly well served by the Web platform.


Oncotarget ◽  
2016 ◽  
Vol 7 (35) ◽  
pp. 56480-56490 ◽  
Author(s):  
Jinyun Chen ◽  
Xifeng Wu ◽  
Yujing Huang ◽  
Wei Chen ◽  
Randall E. Brand ◽  
...  

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