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  • 1
    In: Applied Clinical Informatics, Georg Thieme Verlag KG, Vol. 14, No. 01 ( 2023-01), p. 164-171
    Type of Medium: Online Resource
    ISSN: 1869-0327
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2023
    detail.hit.zdb_id: 2540042-3
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  • 2
    In: Molecular Plant-Microbe Interactions®, Scientific Societies, Vol. 30, No. 7 ( 2017-07), p. 515-516
    Abstract: The white paper reports the deliberations of a workshop focused on biotic challenges to plant health held in Washington, D.C. in September 2016. Ensuring health of food plants is critical to maintaining the quality and productivity of crops and for sustenance of the rapidly growing human population. There is a close linkage between food security and societal stability; however, global food security is threatened by the vulnerability of our agricultural systems to numerous pests, pathogens, weeds, and environmental stresses. These threats are aggravated by climate change, the globalization of agriculture, and an over-reliance on nonsustainable inputs. New analytical and computational technologies are providing unprecedented resolution at a variety of molecular, cellular, organismal, and population scales for crop plants as well as pathogens, pests, beneficial microbes, and weeds. It is now possible to both characterize useful or deleterious variation as well as precisely manipulate it. Data-driven, informed decisions based on knowledge of the variation of biotic challenges and of natural and synthetic variation in crop plants will enable deployment of durable interventions throughout the world. These should be integral, dynamic components of agricultural strategies for sustainable agriculture.
    Type of Medium: Online Resource
    ISSN: 0894-0282 , 1943-7706
    Language: English
    Publisher: Scientific Societies
    Publication Date: 2017
    detail.hit.zdb_id: 2037108-1
    SSG: 12
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  • 3
    In: Cureus, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 2168-8184
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2747273-5
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  • 4
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 10, No. 8 ( 2023-08-01)
    Abstract: Studies on COVID-19 in people with HIV (PWH) have had limitations. Further investigations on risk factors and outcomes of SARS-CoV-2 infection among PWH are needed. Methods This retrospective cohort study leveraged the national OPTUM COVID-19 data set to investigate factors associated with SARS-CoV-2 positivity among PWH and risk factors for severe outcomes, including hospitalization, intensive care unit stays, and death. A subset analysis was conducted to examine HIV-specific variables. Multiple variable logistic regression was used to adjust for covariates. Results Of 43 173 PWH included in this study, 6472 had a positive SARS-CoV-2 result based on a polymerase chain reaction test or antigen test. For PWH with SARS-CoV-2 positivity, higher odds were found for those who were younger (18–49 years), Hispanic White, African American, from the US South, uninsured, and a noncurrent smoker and had a higher body mass index and higher Charlson Comorbidity Index. For PWH with severe outcomes, higher odds were identified for those who were SARS-CoV-2 positive, older, from the US South, receiving Medicaid/Medicare or uninsured, a current smoker, and underweight and had a higher Charlson Comorbidity Index. In a subset analysis including PWH with HIV care variables (n = 5098), those with unsuppressed HIV viral load, a low CD4 count, and no antiretroviral therapy had higher odds of severe outcomes. Conclusions This large US study found significant ethnic, racial, and geographic differences in SARS-CoV-2 infection among PWH. Chronic comorbidities, older age, lower body mass index, and smoking were associated with severe outcomes among PWH during the COVID-19 pandemic. SARS-CoV-2 infection was associated with severe outcomes, but once we adjusted for HIV care variables, SARS-CoV-2 was no longer significant; however, low CD4 count, high viral load, and lack of antiretroviral therapy had higher odds of severe outcomes.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2757767-3
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  • 5
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2022
    In:  Open Forum Infectious Diseases Vol. 9, No. Supplement_2 ( 2022-12-15)
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)
    Abstract: Murine Typhus remains endemic in southern California and in southern Texas where it is transmitted by fleas, with opossums serving as the amplifying host. In Texas, the disease is increasingly recognized in municipalities outside its historic rural range and is spreading in a northward distribution. Since its expansion, we have observed increased cases in the Dallas-Fort Worth (DFW) area and aim to describe murine typhus in North Texas from 2011-2021. Methods Leveraging the electronic health record, we retrospectively identified 482 individuals tested for murine typhus by Rickettsia typhi (R. typhi) serology in 2 Dallas hospitals. We subsequently collected epidemiologic characteristics, clinical features, and outcomes of 58 patients with positive R. typhi serologies ( & gt;1:64). Results Of the 58 patients with positive R. typhi serology, 39 (67%) were male, 45 (78%) were White, and 23 (40%) were Hispanic. Seventy-nine percent had symptom onset between May and November, and 36/58 (62%) were diagnosed in 2020 and 2021. Twenty-six (45%) had exposure to dogs, 18 (31%) to cats, and 13 (22%) to opossums. Twelve (21%) patients were immunocompromised. Fifty-two (90%) had fever, 35 (60%) headache, 26 (45%) nausea and vomiting, 26 (45%) rash, 25 (43%) myalgia, 20 (34%) cough, and 17 (29%) abdominal pain. In 2020 and 2021, 35/36 (97%) patients were additionally tested for COVID-19, and 29/35 (83%) patients had more than one negative SARS-CoV-2 test prior to R. typhi serologies being sent. Twenty-one out of fifty (42%) had an abnormal chest x-ray (CXR) and 28/30 (93%) had an abnormal chest computed tomography (CT). Nine (16%) had hypoxia, 9 (16%) required an intensive care unit, and 3 (5%) required mechanical ventilation. No patients died within 30 days of diagnosis. Conclusion Our study highlights the expansion of murine typhus in North Texas (Figure 1) and demonstrates the heightened need for clinicians to be aware of this disease in the appropriate epidemiologic and clinical settings. We also describe increasing rates of respiratory findings, demonstrated through over half of patients having at least one respiratory symptom, and 93% having an abnormal chest CT (findings traditionally associated with severe disease). Figure 1:Heatmap Distribution of Murine Typhus Cases in the Dallas-Fort Worth Metroplex (2011-2021) Disclosures Christoph U. Lehmann, MD, FAAP, FACMI, FIAHSI, Celanese: Stocks/Bonds|Markel: Stocks/Bonds|Springer: Honoraria Helen L. King, MD, Gilead Sciences: Grant/Research Support.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2757767-3
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  • 6
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  Open Forum Infectious Diseases Vol. 10, No. 4 ( 2023-04-04)
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 10, No. 4 ( 2023-04-04)
    Abstract: Social media platforms like Twitter provide important insights into the public's perceptions of global outbreaks like monkeypox. By analyzing tweets, we aimed to identify public knowledge and opinions on the monkeypox virus and related public health issues. Methods We analyzed English-language tweets using the keyword “monkeypox” from 1 May to 23 July 2022. We reported gender, ethnicity, and race of Twitter users and analyzed tweets to identify predominant sentiment and emotions. We performed topic modeling and compared cohorts of users who self-identify as LGBTQ+ (an abreviation for lesbian, gay, bisexual, transgender, queer, and/or questioning) allies versus users who do not, and cohorts identified as “bots” versus humans. Results A total of 48 330 tweets were written by LGBTQ+ self-identified advocates or allies. The mean sentiment score for all tweets was −0.413 on a −4 to +4 scale. Negative tweets comprised 39% of tweets. The most common emotions expressed were fear and sadness. Topic modeling identified unique topics among the 4 cohorts analyzed. Conclusions The spread of mis- and disinformation about monkeypox was common in our tweet library. Various conspiracy theories about the origins of monkeypox, its relationship to global economic concerns, and homophobic and racial comments were common. Conversely, many other tweets helped to provide information about monkeypox vaccines, disease symptoms, and prevention methods. Discussion of rising monkeypox case numbers globally was also a large aspect of the conversation. Conclusions We demonstrated that Twitter is an effective means of tracking sentiment about public healthcare issues. We gained insight into a subset of people, self-identified LGBTQ+ allies, who were more affected by monkeypox.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2757767-3
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  • 7
    In: Clinical Infectious Diseases, Oxford University Press (OUP), ( 2024-06-07)
    Abstract: The increased prevalence of antimicrobial resistant (AMR) infections is a significant global health threat, resulting in increased morbidity, mortality, and costs. The drivers of AMR are complex and potentially impacted by socioeconomic factors. We investigated the relationships between geographic and socioeconomic factors and AMR. Methods We collected select patient bacterial culture results from 2015 to 2020 from electronic health records (EHR) of two expansive healthcare systems within the Dallas-Fort Worth, TX (DFW) metropolitan area. Among individuals with EHR records who resided in the four most populus counties in DFW, culture data were aggregated. Case counts for each organism studied were standardized per 1,000 persons per area population. Using residential addresses, the cultures were geocoded and linked to socioeconomic index values. Spatial autocorrelation tests identified geographic clusters of high and low AMR organism prevalence and correlations with established socioeconomic indices. Results We found significant clusters of AMR organisms in areas with high levels of deprivation, as measured by the Area Deprivation Index (ADI). We found a significant spatial autocorrelation between ADI and the prevalence of AMR organisms, particularly for AmpC and MRSA with 14% and 13%, respectively, of the variability in prevalence rates being attributable to their relationship with the ADI values of the neighboring locations. Conclusions We found that areas with a high ADI are more likely to have higher rates of AMR organisms. Interventions that improve socioeconomic factors such as poverty, unemployment, decreased access to healthcare, crowding, and sanitation in these areas of high prevalence may reduce the spread of AMR.
    Type of Medium: Online Resource
    ISSN: 1058-4838 , 1537-6591
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2024
    detail.hit.zdb_id: 2002229-3
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  • 8
    In: Healthcare, MDPI AG, Vol. 10, No. 7 ( 2022-06-26), p. 1195-
    Abstract: Background: Undiagnosed human immunodeficiency virus (HIV) infection remains a public health challenge. We explore Facebook (FB) advertisement (Ads) cost per new HIV diagnosis using non-targeted Ads, a routine testing model against targeted Ads, and a focused testing model in Texas. Methods: On 14 October 2021, we created (without launching) Texas-based, USD 10 targeted (using criteria matching HIV populations at risk) and non-targeted FB Ads for 10 days. In the process of creating the Ads, we collected estimated audience size, daily reach, and daily clicks. We estimated Ad cost for each new HIV diagnosis for targeted and non-targeted Ads using new HIV diagnosis rates from focused and routine testing campaigns. Results: The Ad costs per new HIV diagnosis from the targeted model were 4.74, 2.86, 5.28, and 2.88 times lower for men, Black, Hispanic, and all age groups, respectively, when compared to the non-targeted model. The wider the gap was between new HIV diagnosis rates in a population for focused and routine testing, the more cost-effective targeted Ads became. Conclusions: Among HIV populations at risk, targeted FB Ads are more cost-effective for detecting new HIV infections than non-targeted Ads. This cost-effectiveness increases in locations where focused testing increases new HIV diagnosis rates, compared to routine testing.
    Type of Medium: Online Resource
    ISSN: 2227-9032
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2721009-1
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  • 9
    In: Vaccine, Elsevier BV, Vol. 41, No. 33 ( 2023-07), p. 4844-4853
    Type of Medium: Online Resource
    ISSN: 0264-410X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1468474-3
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  • 10
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2022
    In:  Journal of the American Medical Informatics Association Vol. 29, No. 7 ( 2022-06-14), p. 1279-1285
    In: Journal of the American Medical Informatics Association, Oxford University Press (OUP), Vol. 29, No. 7 ( 2022-06-14), p. 1279-1285
    Abstract: There is a need for a systematic method to implement the World Health Organization’s Clinical Progression Scale (WHO-CPS), an ordinal clinical severity score for coronavirus disease 2019 patients, to electronic health record (EHR) data. We discuss our process of developing guiding principles mapping EHR data to WHO-CPS scores across multiple institutions. Materials and Methods Using WHO-CPS as a guideline, we developed the technical blueprint to map EHR data to ordinal clinical severity scores. We applied our approach to data from 2 medical centers. Results Our method was able to classify clinical severity for 100% of patient days for 2756 patient encounters across 2 institutions. Discussion Implementing new clinical scales can be challenging; strong understanding of health system data architecture was integral to meet the clinical intentions of the WHO-CPS. Conclusion We describe a detailed blueprint for how to apply the WHO-CPS scale to patient data from the EHR.
    Type of Medium: Online Resource
    ISSN: 1527-974X
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2018371-9
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