scholarly journals Measuring Social Movement Organization Populations: A Comprehensive Census of U.S. Environmental Movement Organizations

2007 ◽  
Vol 12 (3) ◽  
pp. 255-270 ◽  
Author(s):  
Robert Brulle ◽  
Liesel Turner ◽  
Jason Carmichael ◽  
J. Jenkins
Keyword(s):  
Population Level ◽  
Environmental Movement ◽  
Organizational Studies ◽  
Population Parameters ◽  
Multiple Sources ◽  
Time Period ◽  
Movement Organization ◽  
Movement Organizations ◽  
The Impact ◽  
Different Sources

Population-level analyses of SMOs typically have relied on a single source for data, most commonly the Encyclopedia of Associations (EoA). However, the validity of this procedure has been drawn into question by recent organizational studies. To examine the impact of using different sources to estimate SMO populations, we compile a comprehensive population dataset of national and regional U.S. environmental movement organizations (or EMOs) over a 100-year time period using 155 different sources. We use this data to evaluate the accuracy and selection biases in five major compilations of U.S. EMOs. The analysis shows that all single sources are selective, tapping specific sections of the environmental movement. Multiple sources are needed to capture a comprehensive population of EMOs. Researchers should be aware of the limitations of specific sources before drawing conclusions about population parameters.

scholarly journals Impact of Rotavirus Vaccine Introduction in Children Less Than 2 Years of Age Presenting for Medical Care With Diarrhea in Rural Matlab, Bangladesh

2019 ◽  
Vol 69 (12) ◽  
pp. 2059-2070 ◽  
Author(s):  
Lauren M Schwartz ◽  
K Zaman ◽  
Md Yunus ◽  
Ahasan-ul H Basunia ◽  
Abu Syed Golam Faruque ◽  
...  
Keyword(s):  
Vaccine Coverage ◽  
Controlled Trial ◽  
Population Level ◽  
Diarrhoeal Disease ◽  
Incidence Rates ◽  
Service Area ◽  
Rotavirus Vaccine ◽  
Rotavirus Vaccines ◽  
Time Period ◽  
The Impact

Abstract Background Following the conclusion of a human rotavirus vaccine (HRV) cluster-randomized, controlled trial (CRT) in Matlab, Bangladesh, HRV was included in Matlab’s routine immunization program. We describe the population-level impact of programmatic rotavirus vaccination in Bangladesh in children <2 years of age. Methods Interrupted time series were used to estimate the impact of HRV introduction. We used diarrheal surveillance collected between 2000 and 2014 within the 2 service delivery areas (International Centre for Diarrhoeal Disease Research, Bangladesh [icddr,b] service area [ISA] and government service area [GSA]) of the Matlab Health and Demographic Surveillance System, administered by icddr,b. Age group–specific incidence rates were calculated for both rotavirus-positive (RV+) and rotavirus-negative (RV–) diarrhea diagnoses of any severity presenting to the hospital. We used 2 models to assess the impact within each service area: Model 1 used the pre-vaccine time period in all villages (HRV– and control-only) and Model 2 combined the pre-vaccine time period and the CRT time period, using outcomes from control-only villages. Results Both models demonstrated a downward trend in RV+ diarrheal incidences in the ISA villages during 3.5 years of routine HRV use, though only Model 2 was statistically significant. Significant impacts of HRV on RV+ diarrhea incidences in GSA villages were not observed in either model. Differences in population-level impacts between the 2 delivery areas may be due to the varied rotavirus vaccine coverage and presentation rates to the hospital. Conclusions This study provides initial evidence of the population-level impact of rotavirus vaccines in children <2 years of age in Matlab, Bangladesh. Further studies are needed of the rotavirus vaccine impact after the nationwide introduction in Bangladesh.

scholarly journals Long time frames to detect the impact of changing COVID-19 measures, Canada, March to July 2020

2021 ◽  
Vol 26 (40) ◽  
Author(s):  
Jessica E Stockdale ◽  
Renny Doig ◽  
Joosung Min ◽  
Nicola Mulberry ◽  
Liangliang Wang ◽  
...  
Keyword(s):  
Population Level ◽  
Time Frame ◽  
Control Measures ◽  
Type Model ◽  
Time Period ◽  
Long Time ◽  
The Mean ◽  
Reported Data ◽  
Time Frames ◽  
The Impact

Background Many countries have implemented population-wide interventions to control COVID-19, with varying extent and success. Many jurisdictions have moved to relax measures, while others have intensified efforts to reduce transmission. Aim We aimed to determine the time frame between a population-level change in COVID-19 measures and its impact on the number of cases. Methods We examined how long it takes for there to be a substantial difference between the number of cases that occur following a change in COVID-19 physical distancing measures and those that would have occurred at baseline. We then examined how long it takes to observe this difference, given delays and noise in reported cases. We used a susceptible-exposed-infectious-removed (SEIR)-type model and publicly available data from British Columbia, Canada, collected between March and July 2020. Results It takes 10 days or more before we expect a substantial difference in the number of cases following a change in COVID-19 control measures, but 20–26 days to detect the impact of the change in reported data. The time frames are longer for smaller changes in control measures and are impacted by testing and reporting processes, with delays reaching ≥ 30 days. Conclusion The time until a change in control measures has an observed impact is longer than the mean incubation period of COVID-19 and the commonly used 14-day time period. Policymakers and practitioners should consider this when assessing the impact of policy changes. Rapid, consistent and real-time COVID-19 surveillance is important to minimise these time frames.

scholarly journals Population Data Science: The science of data about people

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Kim McGrail ◽  
Kerina Jones
Keyword(s):  
Data Science ◽  
Data Linkage ◽  
Positive Impact ◽  
Population Data ◽  
Population Level ◽  
Multiple Sources ◽  
Science Field ◽  
Data Intensive ◽  
Collective Work ◽  
The Impact

IntroductionSocietal and individual benefits of data-intensive science are substantial but raise challenges of balancing individual privacy and public good, while building appropriate governance and socio-technical systems to support data-intensive science. We set out to define a new field of inquiry to move collective interests forward. Objectives and ApproachOur objectives were: 1. To create a concise definition of the emerging field of Population Data Science; 2. To highlight the characteristics and challenges of Population Data Science; 3. To differentiate Population Data Science from existing fields of data science and informatics; and 4. To discuss the implications and future opportunities for Population Data Science. Objectives 1 and 2 were met largely through International Population Data Linkage Network (IPDLN) member engagement, Objective 3 was evaluated via literature review, and Objective 4 was achieved through iterative and collective work on a peer-reviewed position paper. ResultsWe define Population Data Science succinctly as the science of data about people. It is related to, but distinct from, the fields of data science and informatics. A broader definition includes four characteristics of: i) data use for positive impact on individuals and populations; ii) bringing together and analyzing data from multiple sources; iii) identifying population-level insights; and iv) developing safe, privacy-sensitive and ethical infrastructure to support research. One implication of these characteristics is that few individuals or organisations possess all of the requisite knowledge and skills comprising Population Data Science, so this is by nature a multi-disciplinary “team science” field. There is a need to advance various aspects of science, such as data linkage technology, various forms of analytics, and methods of public engagement. Conclusion/ImplicationsThese implications are the beginnings of a research agenda for Population Data Science, which if approached as a collective field, will catalyze significant advances in our understanding of society, health, and human behavior and increase the impact of our research.

scholarly journals 211Real-World Data Assessment Plan for a Heat-Not-Burn Tobacco Product: Proof of Concept

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Angela van der Plas ◽  
Matthew Hankins ◽  
Annie Heremans
Keyword(s):  
Hospital Admissions ◽  
Population Level ◽  
Chronic Obstructive ◽  
Proof Of Concept ◽  
Ecological Studies ◽  
Multiple Sources ◽  
Real World Data ◽  
Japanese Market ◽  
World Data ◽  
The Impact

Abstract Focus of Presentation Real-world data (RWD) is readily available in Japan through multiple sources. Considering the crucial need to substantiate the beneficial effects of switching from cigarette smoking to heat-not-burn (HNB) products, both at the individual and population levels, the use of RWD seems a viable option. For instance, ecological studies using RWD have assessed the impact of population-level interventions such as smoking bans and their effects on smoking-related diseases and their endpoints As a proof of concept, ecological analyses were performed to assess the rates of chronic obstructive pulmonary disease (COPD) exacerbations and acute Ischemic Heart Disease (IHD) hospitalizations before and after the introduction of and HNB product in the Japanese market. Findings Hospital admissions associated with ICD codes for COPD and IHD from 2008 to 2019—5 years before and 4 years after the introduction of the target HNB product in the Japanese market—were retrieved from the MDV database. Referrals were below those predicted from pre-launch trends. Conclusions The use of RWD in assessment of HNB products is viable for ecological studies with the well-known caveats. Their use in exposure-specific studies will become feasible once the systematic collection of exposure to tobacco products and use history is guaranteed. This will greatly increase the range and robustness of the evidence base. Key messages The use of RWD is a practical way of assessing the impact of HNB products in the population as a whole.

scholarly journals Long time frames to detect the impact of changing COVID-19 control measures

2020 ◽  
Author(s):  
Jessica E Stockdale ◽  
Renny Doig ◽  
Joosung Min ◽  
Nicola Mulberry ◽  
Liangliang Wang ◽  
...  
Keyword(s):  
Population Level ◽  
Time Frame ◽  
Control Measures ◽  
Policy Makers ◽  
Time Period ◽  
Reporting Process ◽  
Long Time ◽  
The Mean ◽  
Time Frames ◽  
The Impact

AbstractBackgroundMany countries have implemented population-wide interventions such as physical distancing measures, in efforts to control COVID-19. The extent and success of such measures has varied. Many jurisdictions with declines in reported COVID-19 cases are moving to relax measures, while others are continuing to intensify efforts to reduce transmission.AimWe aim to determine the time frame between a change in COVID-19 measures at the population level and the observable impact of such a change on cases.MethodsWe examine how long it takes for there to be a substantial difference between the cases that occur following a change in control measures and those that would have occurred at baseline. We then examine how long it takes to detect a difference, given delays and noise in reported cases. We use changes in population-level (e.g., distancing) control measures informed by data and estimates from British Columbia, Canada.ResultsWe find that the time frames are long: it takes three weeks or more before we might expect a substantial difference in cases given a change in population-level COVID-19 control, and it takes slightly longer to detect the impacts of the change. The time frames are shorter (11-15 days) for dramatic changes in control, and they are impacted by noise and delays in the testing and reporting process, with delays reaching up to 25-40 days.ConclusionThe time until a change in broad control measures has an observed impact is longer than is typically understood, and is longer than the mean incubation period (time between exposure than onset) and the often used 14 day time period. Policy makers and public health planners should consider this when assessing the impact of policy change, and efforts should be made to develop rapid, consistent real-time COVID-19 surveillance.

scholarly journals Challenges encountered in comparing international policy responses to COVID-19 and their effects

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Christine Riley ◽  
Bo Xie ◽  
Anjum Khurshid
Keyword(s):  
Public Health ◽  
Multiple Sources ◽  
Mortality And Morbidity ◽  
Public Health Emergencies ◽  
Policy Responses ◽  
Informatics Infrastructure ◽  
Report Data ◽  
The Impact ◽  
Source Of Information ◽  
Different Sources

Abstract Background A variety of policies have been implemented around the world in response to the COVID-19 pandemic. This study originally aimed to identify and compare policy responses of different countries and their effects on the pandemic. It quickly evolved into an identification of the heterogeneity among existing policies and the challenges in making meaningful comparisons of the impact of these policies. Methods The process of collecting and comparing data from different sources was analysed through inductive thematic analysis to understand the obstacles that impede research designed to compare COVID-19 data and related policies. Results We identified the following obstacles: (1) no single reputable source of information and too much noise; (2) a lack of standards for how to measure and report data across countries; (3) variations in the content, implementation and enforcement of policies; and (4) politics, instead of science, leading the efforts in pandemic management. Conclusion Heterogeneity in existing policies makes it challenging to compare the effects of various policies worldwide on the COVID-19 pandemic. Our findings call for an automatically updated informatics infrastructure across the globe for collecting and maintaining standardized data from multiple sources. There is a strong need for steadfast utilization of scientific and technical experts to inform and influence health policy. Increased investment in public health and emergency planning is essential to overcome the current pandemic, as well as future public health emergencies. Focused leadership and collaboration from world leaders in a unified mission to decrease the mortality and morbidity of the COVID-19 pandemic is imperative.

Role of chromium (III) in the nutrition of pigs and cattle

2016 ◽  
Vol 3 (2) ◽  
pp. 56-62
Author(s):  
R. Iskra ◽  
V. Vlizlo ◽  
R. Fedoruk
Keyword(s):  
Growth And Development ◽  
Reproductive Function ◽  
Metabolic Effect ◽  
Considerable Part ◽  
Cultural Medium ◽  
Milk Performance ◽  
Chromium Compounds ◽  
The Impact ◽  
Different Sources

The results of our studies and the data of modern literature regarding the biological role of Cr(III) compounds in conditions of their application in the nutrition for pigs and cattle are discussed. The metabolic impact of Cr(III), coming from different sources – mineral and organic compounds, obtained by chemical synthesis or a nanotechnological method (chromium citrate), as well as in the form of biocomplexes from the cultural medium of Saccharomyces cerevisiae yeasts was analyzed. The metabolic connection between the impact of Cr(III) and the biosynthesis of some hormones – insulin, cortisol – as well as the sensitivity of some tissues and organs to the effect of chromium compounds was studied. A considerable part of the review material was dedicated to the metabolic effect of Cr(III) compounds on the reproductive function of pigs and cattle and their impact on the viability of the offspring and gametes of animals. The data about the stimulating effect of Cr(III) on the growth and development of the organism of piglets and calves, meat and milk performance of these species of animals are discussed. The relevance of dosing Cr(III) in the nutrition of pigs and cattle is highlighted.

Use of Nutrition Information and Understanding of “Percent Daily Value” on Nutrition Facts Tables: Evaluating the Impact of a National Public Education Campaign among Youth and Young Adults in Canada

2019 ◽  
Vol 80 (4) ◽  
pp. 200-204 ◽  
Author(s):  
Brittany Cormier ◽  
Lana Vanderlee ◽  
David Hammond
Keyword(s):  
Population Level ◽  
Correct Recall ◽  
Nutrition Information ◽  
Education Campaign ◽  
Knowledge Based ◽  
Public Education Campaign ◽  
Youth And Young Adults ◽  
Campaign Message ◽  
Health Canada ◽  
The Impact

Purpose: In 2010, Health Canada implemented a national campaign to improve understanding of “percent daily value” (%DV) in Nutrition Facts Tables (NFTs). This study examined sources of nutrition information and knowledge of %DV information communicated in the campaign. Methods: Respondents aged 16–30 years completed the Canada Food Study in 2016 (n = 2665). Measures included sources of nutrition information, NFT use, and %DV knowledge based on the campaign message (“5% DV or less is a little; 15% DV or more is a lot”). A logistic regression examined correlates of providing “correct” responses to %DV questions related to the campaign messaging. Results: Overall, 7.2% (n = 191) respondents correctly indicated that 5% is “a little”, and 4.3% (n = 115) correctly indicated 15% DV was “a lot”. Only 4.0% (n = 107) correctly answered both. Correct recall of %DV amounts was not associated with number of information sources reported, but was greater among those who were female, were younger, and reported greater NFT understanding and serving size information use (P < 0.05 for all). Conclusions: Results show low awareness of messaging from the Nutrition Facts Education Campaign among young Canadians. Such a mass media campaign may be insufficient on its own to enhance population-level understanding of %DV.

Epigenetic Studies in Psychotherapy: A Systematic Review

2020 ◽  
Vol 16 (2) ◽  
pp. 86-92
Author(s):  
Rafael Penadés ◽  
Bárbara Arias ◽  
Mar Fatjó-Vilas ◽  
Laura González-Vallespí ◽  
Clemente García-Rizo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Dna Methylation ◽  
Mental Disorders ◽  
Epigenetic Modifications ◽  
Symptom Improvement ◽  
Epigenetic Changes ◽  
Main Hypothesis ◽  
Psychological Treatments ◽  
Time Period ◽  
The Impact

Background: Epigenetic modifications appear to be dynamic and they might be affected by environmental factors. The possibility of influencing these processes through psychotherapy has been suggested. Objective: To analyse the impact of psychotherapy on epigenetics when applied to mental disorders. The main hypothesis is that psychological treatments will produce epigenetic modifications related to the improvement of treated symptoms. Methods: A computerised and systematic search was completed throughout the time period from 1990 to 2019 on the PubMed, ScienceDirect and Scopus databases. Results: In total, 11 studies were selected. The studies were evaluated for the theoretical framework, genes involved, type of psychotherapy and clinical challenges and perspectives. All studies showed detectable changes at the epigenetic level, like DNA methylation changes, associated with symptom improvement after psychotherapy. Conclusion: Methylation profiles could be moderating treatment effects of psychotherapy. Beyond the detected epigenetic changes after psychotherapy, the epigenetic status before the implementation could act as an effective predictor of response.

A New Narrative?

2018 ◽  
Author(s):  
Natalia Nowakowska
Keyword(s):  
Master Narratives ◽  
European Context ◽  
Early Signs ◽  
Research Findings ◽  
New Research ◽  
The Impact ◽  
Different Sources

Our three existing master narratives of the early Reformation in Poland are all over a century old and mutually contradictory, drawing on different sources to serve differing confessional and national/ist agendas. This chapter offers a fresh narrative of the impact of Lutheranism on the Polish composite monarchy to c.1540, synthesizing these older accounts and updating them with new research findings. This is a narrative in three parts: early signs (1517–24), the great Reformation year (1525), and aftershocks (1526–40). The chapter discusses the challenges of measuring ‘Lutheran’ sentiment, sets these Polish-Prussian events clearly in their comparative European context, and considers what implications they might have for that bigger, familiar tale. It stresses the precocity of Sigismund I’s monarchy, which saw the most far-reaching urban and violent Reformation in 1520s Europe (Danzig), a peasant Reformation rising, and Christendom’s first territorial-princely Reformation, in Ducal Prussia.

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