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1.
Gastroenterology ; 164(4 Supplement):S56-S57, 2023.
Article in English | EMBASE | ID: covidwho-2297290

ABSTRACT

INTRODUCTION: Inflammatory bowel disease (IBD) affects patients across diverse ethnic, minority, cultural, and socioeconomic backgrounds;however, the relationship between these social determinants of health (SDOH) and IBD outcomes is not well-studied. SDOH have a known impact on disparities in vaccination, but these effects may be more salient in the IBD population where patients are at greater risk for vaccine-preventable illness from immunosuppressive therapies. The social vulnerability index (SVI) is a tool provided by Centers for Disease Control that can identify individuals at risk for health care disparities by estimating neighborhood-level social need on a 0-1 scale (higher scores indicating greater social vulnerability). Utilizing census tract-level SVI data, we aimed to identify the relationship between the SDOH and vaccination rates in patients with IBD. METHOD(S): We used a retrospective cohort design of patients seen at a single IBD center between 01/01/2015 and 08/31/2022. Using the current address listed in the electronic medical record, we geocoded patients to individual census tracts and linked them to corresponding SVI and subscales (Figure 1). Controlling a priori for age, gender, race, ethnicity, marital status, English proficiency, electoral district, and religious affiliation, we used multivariable linear regression to examine the relationship between SVI and vaccination against influenza, Covid-19, pneumococcal pneumonia (conjugate and polysaccharide), and Zoster. RESULT(S): 15,245 patients with IBD were included and the percent of unvaccinated individuals was high across all vaccine types: flu (42.8%), Covid-19 (50.9%), pneumonia (62.4%), and Zoster (89.6%). High total levels of social vulnerability were associated with lower vaccination rates across all vaccine groups: flu (B -1.3, 95% CI -1.5, -1.2, p<0.001), Covid-19 (B -0.99, 95% CI -1.1, -0.88), p<0.001), pneumonia (B -0.21, 95% CI -0.27, -0.14, p<0.001), Zoster (B -0.23, 95% CI -0.27, -0.19, p<0.001). On SVI sub-scales, high scores in Socioeconomic Status, Household Composition, and Housing/Transportation were important predictors of vaccine uptake while Minority Status/Language was non-significant (Table 1). CONCLUSION(S): Living in a socially vulnerable community is associated with lower vaccination rates across all vaccine types. Higher scores on neighborhood level Socioeconomic Status, Household Composition, and Housing/Transportation were also associated with lower vaccine uptake. Many factors may affect why socially vulnerable patients are under-vaccinated, including a lack of patient and provider knowledge of routine vaccines, lack of access to care, and poor trust in vaccines and healthcare system. Further research is needed improve IBD health maintenance in gastroenterology clinics and ensure equitable distribution of vaccines to socially vulnerable patients. [Formula presented] [Formula presented]Copyright © 2023

2.
1st Workshop on NLP for COVID-19 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 ; 2020.
Article in English | Scopus | ID: covidwho-2286073

ABSTRACT

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19 has been downloaded over 200K times and has served as the basis of many COVID-19 text mining and discovery systems. In this article, we describe the mechanics of dataset construction, highlighting challenges and key design decisions, provide an overview of how CORD-19 has been used, and describe several shared tasks built around the dataset. We hope this resource will continue to bring together the computing community, biomedical experts, and policy makers in the search for effective treatments and management policies for COVID-19. © ACL 2020.All right reserved.

3.
Inflammatory Bowel Diseases ; 29(Supplement 1):S45, 2023.
Article in English | EMBASE | ID: covidwho-2264944

ABSTRACT

INTRODUCTION: Inflammatory bowel disease (IBD) affects patients across diverse ethnic, minority, cultural, and socioeconomic backgrounds;however, the relationship between these social determinants of health (SDOH) and IBD outcomes is not well-studied. SDOH have a known impact on disparities in vaccination, but these effects may be more salient in the IBD population where patients are at greater risk for vaccine-preventable illness from immunosuppressive therapies. The social vulnerability index (SVI) is a tool provided by Centers for Disease Control that can identify individuals at risk for health care disparities by estimating neighborhood-level social need on a 0-1 scale (higher scores indicating greater social vulnerability). Utilizing census tract-level SVI data, we aimed to identify the relationship between the SDOH and vaccination rates in patients with IBD. METHOD(S): We used a retrospective cohort design of patients seen at a single IBD center between 01/01/2015 and 08/31/2022. Using the current address listed in the electronic medical record, we geocoded patients to individual census tracts and linked them to corresponding SVI and subscales (Figure 1). Controlling a priori for age, gender, race, ethnicity, marital status, English proficiency, electoral district, and religious affiliation, we used multivariable linear regression to examine the relationship between SVI and vaccination against influenza, Covid-19, pneumococcal pneumonia (conjugate and polysaccharide), and Zoster. RESULT(S): 15,245 patients with IBD were included and the percent of unvaccinated individuals was high across all vaccine types: flu (42.8%), Covid-19 (50.9%), pneumonia (62.4%), and Zoster (89.6%). High total levels of social vulnerability were associated with lower vaccination rates across all vaccine groups: flu (B -1.3, 95% CI -1.5, -1.2, p<0.001), Covid-19 (B -0.99, 95% CI -1.1, -0.88), p<0.001), pneumonia (B -0.21, 95% CI -0.27, -0.14, p<0.001), Zoster (B -0.23, 95% CI -0.27, -0.19, p<0.001). On SVI subscales, high scores in Socioeconomic Status, Household Composition, and Housing/ Transportation were important predictors of vaccine uptake while Minority Status/ Language was non-significant (Table 1). CONCLUSION(S): Living in a socially vulnerable community is associated with lower vaccination rates across all vaccine types. Higher scores on neighborhood level Socioeconomic Status, Household Composition, and Housing/Transportation were also associated with lower vaccine uptake. Many factors may affect why socially vulnerable patients are under-vaccinated, including a lack of patient and provider knowledge of routine vaccines, lack of access to care, and poor trust in vaccines and healthcare system. Further research is needed improve IBD health maintenance in gastroenterology clinics and ensure equitable distribution of vaccines to socially vulnerable patients. (Figure Presented).

5.
Applications of Grey Literature for Science and Society ; 22:11-17, 2021.
Article in English | Web of Science | ID: covidwho-1362998

ABSTRACT

The continuing transition toward open science is fundamentally changing both the ways in which scientists communicate research findings and what they communicate. Open science places emphasis on enhanced access not only to published research findings but also to elements of grey literature: pre-published literature (preprints), underlying research data, study protocols, and other products of the research process. This presentation reviews the transformation in scholarly communication associated with open science and illustrate the ways in which libraries and other information service providers can support it, drawing on examples from the U.S. National Library of Medicine. Particular attention will be devoted to efforts to support open science as part of the ongoing response to the COVID-19 pandemic.

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