Dark citations to Federal resources and their contribution to the public health literature.
Ontology highlight
ABSTRACT:
SUBMITTER: Keralis JM
PROVIDER: S-EPMC10497748 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Publications
Dark citations to Federal resources and their contribution to the public health literature.
Keralis Jessica M JM Albertorio-Díaz Juan J Hoppe Travis T
Frontiers in research metrics and analytics 20230829
The term "dark citations," which has been previously used to refer to citations of information products outside of traditional peer-reviewed journal articles, is adapted here to refer to those that are not linked to a known indexed identifier and are effectively invisible to traditional bibliometric analysis. We investigate an unexplored source of citations in the biomedical and public health literature by surveying the extent of dark citations across the U.S. government. We systematically focus ...[more]
Similar Datasets
Project description:During catastrophic disasters, government leaders must decide how to efficiently and effectively allocate scarce public health and medical resources. The literature about triage decision making at the individual patient level is substantial, and the National Response Framework provides guidance about the distribution of responsibilities between federal and state governments. However, little has been written about the decision-making process of federal leaders in disaster situations when resources are not sufficient to meet the needs of several states simultaneously. We offer an ethical framework and logic model for decision making in such circumstances. We adapted medical triage and the federalism principle to the decision-making process for allocating scarce federal public health and medical resources. We believe that the logic model provides a values-based framework that can inform the gestalt during the iterative decision process used by federal leaders as they allocate scarce resources to states during catastrophic disasters.
| S-EPMC5549946 | biostudies-literature
Project description:The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists. Although originally conceived for neuroscience, the NIF Registry has over the years broadened in the scope to include research resources of general relevance to biomedical research. The current number of research resources listed by the Registry numbers over 13K. The broadening in scope to biomedical science led us to re-christen the NIF Registry platform as SciCrunch. The NIF/SciCrunch Registry has been cataloging the resource landscape since 2006; as such, it serves as a valuable dataset for tracking the breadth, fate and utilization of these resources. Our experience shows research resources like databases are dynamic objects, that can change location and scope over time. Although each record is entered manually and human-curated, the current size of the registry requires tools that can aid in curation efforts to keep content up to date, including when and where such resources are used. To address this challenge, we have developed an open source tool suite, collectively termed RDW: Resource Disambiguator for the (Web). RDW is designed to help in the upkeep and curation of the registry as well as in enhancing the content of the registry by automated extraction of resource candidates from the literature. The RDW toolkit includes a URL extractor from papers, resource candidate screen, resource URL change tracker, resource content change tracker. Curators access these tools via a web based user interface. Several strategies are used to optimize these tools, including supervised and unsupervised learning algorithms as well as statistical text analysis. The complete tool suite is used to enhance and maintain the resource registry as well as track the usage of individual resources through an innovative literature citation index honed for research resources. Here we present an overview of the Registry and show how the RDW tools are used in curation and usage tracking.
| S-EPMC5156472 | biostudies-literature
Project description:BackgroundGenerating insights into resource demands during outbreaks is an important aspect of pandemic preparedness. The EU PANDEM-2 project used resource modelling to explore the demand profile for key resources during pandemic scenarios. This review aimed to identify public health and healthcare resources needed to respond to pandemic threats and the ranges of parameter values on the use of these resources for pandemic influenza (including the novel influenza A(H1N1)pdm09 pandemic) and the COVID-19 pandemic, to support modelling activities.MethodsWe conducted a systematic literature review and searched Embase and Medline databases (1995 - June 2023) for articles that included a model, scenario, or simulation of pandemic resources and/or describe resource parameters, for example personal protective equipment (PPE) usage, length of stay (LoS) in intensive care unit (ICU), or vaccine efficacy. Papers with data on resource parameters from all countries were included.ResultsWe identified 2754 articles of which 147 were included in the final review. Forty-six different resource parameters with values related to non-ICU beds (n = 43 articles), ICU beds (n = 57), mechanical ventilation (n = 39), healthcare workers (n = 12), pharmaceuticals (n = 21), PPE (n = 8), vaccines (n = 26), and testing and tracing (n = 19). Differences between resource types related to pandemic influenza and COVID-19 were observed, for example on mechanical ventilation (mostly for COVID-19) and testing & tracing (all for COVID-19).ConclusionThis review provides an overview of public health and healthcare resources with associated parameters in the context of pandemic influenza and the COVID-19 pandemic. Providing insight into the ranges of plausible parameter values on the use of public health and healthcare resources improves the accuracy of results of modelling different scenarios, and thus decision-making by policy makers and hospital planners. This review also highlights a scarcity of published data on important public health resources.
| S-EPMC11552315 | biostudies-literature
Project description:BackgroundThe private versus public contribution to developing new health knowledge and interventions is deeply contentious. Proponents of commercial innovation highlight its role in late-stage clinical trials, regulatory approval, and widespread distribution. Proponents of public innovation point out the role of public institutions in forming the foundational knowledge undergirding downstream innovation. The rapidly evolving COVID-19 situation has brought with it uniquely proactive public involvement to characterize, treat, and prevent this novel health treat. How has this affected the share of research by industry and public institutions, particularly compared to the experience of previous pandemics, Ebola, H1N1 and Zika?MethodsUsing Embase, we categorized all publications for COVID-19, Ebola, H1N1 and Zika as having any author identified as affiliated with industry or not. We placed all disease areas on a common timeline of the number of days since the WHO had declared a Public Health Emergency of International Concern with a six-month lookback window. We plotted the number and proportion of publications over time using a smoothing function and plotted a rolling 30-day cumulative sum to illustrate the variability in publication outputs over time.ResultsIndustry-affiliated articles represented 2% (1,773 articles) of publications over the 14 months observed for COVID-19, 7% (278 articles) over 7.1 years observed for Ebola, 5% (350 articles) over 12.4 years observed for H1N1, and 3% (160 articles) over the 5.7 years observed for Zika. The proportion of industry-affiliated publications built steadily over the time observed, eventually plateauing around 7.5% for Ebola, 5.5% for H1H1, and 3.5% for Zika. In contrast, COVID-19's proportion oscillated from 1.4% to above 2.7% and then declined again to 1.7%. At this point in the pandemic (i.e., 14 months since the PHEIC), the proportion of industry-affiliated articles had been higher for the other three disease areas; for example, the proportion for H1N1 was twice as high.ConclusionsWhile the industry-affiliated contribution to the biomedical literature for COVID is extraordinary in its absolute number, its proportional share is unprecedentedly low currently. Nevertheless, the world has witnessed one of the most remarkable mobilizations of the biomedical innovation ecosystem in history.
| S-EPMC8535173 | biostudies-literature
Project description:ObjectiveThis study reports the use of exploratory factor analysis to describe essential skills and knowledge for an important segment of the domestic public health workforce-Centers for Disease Control and Prevention (CDC) project officers-using an evidence-based approach to competency development and validation.DesignA multicomponent survey was conducted. Exploratory factor analysis was used to examine the underlying domains and relationships between competency domains and key behaviors. The Cronbach α coefficient determined the reliability of the overall scale and identified factors.Setting and participantsAll domestic (US state, tribe, local, and territorial) grantees who received funding from the CDC during fiscal year 2011 to implement nonresearch prevention or intervention programs were invited to participate in a Web-based questionnaire.Main outcome measure(s)A total of 34 key behaviors representing knowledge, skills, and abilities, grouped in 7 domains-communication, grant administration and management, public health applied science and knowledge, program planning and development, program management, program monitoring and improvement, and organizational consultation-were examined.ResultsThere were 795 responses (58% response rate). A total of 6 factors were identified with loadings of 0.40 or more for all 34 behavioral items. The Cronbach α coefficient was 0.95 overall and ranged between 0.73 and 0.91 for the factors.ConclusionsThis study provides empirical evidence for the construct validity of 6 competencies and 34 key behaviors important for CDC project officers and serves as an important first step to evidence-driven workforce development efforts in public health.
| S-EPMC5614504 | biostudies-literature
Project description:We examined the perceived importance of scientific resources for decision-making among local health department (LHD) practitioners in the United States.We used data from LHD practitioners (n = 849). Respondents ranked important decision-making resources, methods for learning about public health research, and academic journal use. We calculated descriptive statistics and used logistic regression to measure associations of individual and LHD characteristics with importance of scientific resources.Systematic reviews of scientific literature (24.7%) were most frequently ranked as important among scientific resources, followed by scientific reports (15.9%), general literature review articles (6.5%), and 1 or a few scientific studies (4.8%). Graduate-level education (adjusted odds ratios [AORs] = 1.7-3.5), larger LHD size (AORs = 2.0-3.5), and leadership support (AOR = 1.6; 95% confidence interval = 1.1, 2.3) were associated with a higher ranking of importance of scientific resources.Graduate training, larger LHD size, and leadership that supports a culture of evidence-based decision-making may increase the likelihood of practitioners viewing scientific resources as important. Targeting communication channels that practitioners view as important can also guide research dissemination strategies.
| S-EPMC4355705 | biostudies-literature
Project description:Many developed countries use environmental public health tracking to gain a better understanding of the link between environmental hazards and public health. To respond to complicated environmental health issues, the National Institute of Environmental Health (NIEH), Chinese Center for Disease Control and Prevention (China CDC), has begun to build a Chinese Environmental Public Health Tracking (CEPHT) system. On behalf of the CEPHT, authors provide insight into the CEPHT's development, current status, and future plans. In the initial stage of CEPHT, an indicator framework linking environment and public health that included a list of publicly available data sources regarding environmental hazards, public health outcomes, and risk factors in China was developed. An analysis of data availability, along with a comparison between CEPHT's indicator system and other tracking networks, revealed the existence of barriers and gaps in data integration that affect China's ability to track environmental public health. The lack of access to data, combined with inadequate data quality, has led to difficulties linking environmental hazards to their effects on public health. Current CEPHT efforts will help integrate environmental factors and exposure data with public health outcomes. For the near future, CEPHT plans to focus on increasing collaboration among data tracking agencies, improving data quality, and expanding proper data sharing. https://doi.org/10.1289/EHP4319.
| S-EPMC6785224 | biostudies-literature
Project description:PurposeTo evaluate the peer-reviewed orthopaedic sports medicine literature for reference errors within 2 high-impact journals.MethodsIn total, 769 references with 1,082 in-line citations were assessed from 20 randomly selected peer-reviewed articles published in 2 high-impact orthopaedic sports medicine journals, Arthroscopy and the American Journal of Sports Medicine. Full-text copies of references were obtained through online literature subscription databases. Two investigators evaluated each citation for agreement between the reference's study design, methods, data, discussion, and conclusion with the citing authors' claims. Error rates, interobserver agreement, and association between error rates and journal demographics were assessed.ResultsCohen's κ coefficient representing interobserver agreement was 0.61. The mean citation error rate across 20 articles from 2 orthopaedic sports medicine journals was 6.6%. The most common error was failure to support the authors' assertions within the citing article, accounting for 32% of errors. There was no significant association between error rate and journal impact factor, number of cited references or total references, ratio of in-line citations to cited references (citation ratio), and number of authors. There was no significant relationship between error rate and journal, study type, and level of evidence.ConclusionsInaccurate claims and citations are common within the orthopaedic sports medicine literature, occurring in every reviewed article and 6.6% of all in-line citations. Failure to support the assertions of the article in which a reference is cited is a common error. Authors should take care to rigorously assess references with particular attention to accurate citation of primary sources.Clinical relevanceThis study highlights the prevalence of citation errors within a random sampling of high-level orthopaedic sports medicine articles. Given science is cumulative, these errors perpetuate inaccuracies and are at odds with evidence-based practice.
| S-EPMC10839601 | biostudies-literature
Project description:Shigella is a major foodborne pathogen that infects humans and nonhuman primates and is the major cause of dysentery and reactive arthritis worldwide. This is the initial public release of 16 Shigella genome sequences from four species sequenced as part of the 100K Pathogen Genome Project.
| S-EPMC5399251 | biostudies-literature
Project description:Statistical literacy and knowledge is needed to read and understand the public health literature. The purpose of this study was to quantify basic and advanced statistical methods used in public health research. We randomly sampled 216 published articles from seven top tier general public health journals. Studies were reviewed by two readers and a standardized data collection form completed for each article. Data were analyzed with descriptive statistics and frequency distributions. Results were summarized for statistical methods used in the literature, including descriptive and inferential statistics, modeling, advanced statistical techniques, and statistical software used. Approximately 81.9% of articles reported an observational study design and 93.1% of articles were substantively focused. Descriptive statistics in table or graphical form were reported in more than 95% of the articles, and statistical inference reported in more than 76% of the studies reviewed. These results reveal the types of statistical methods currently used in the public health literature. Although this study did not obtain information on what should be taught, information on statistical methods being used is useful for curriculum development in graduate health sciences education, as well as making informed decisions about continuing education for public health professionals.
| S-EPMC5462407 | biostudies-literature