scholarly journals Disease Response Link Group

2020 ◽  
Author(s):  
Keyword(s):  
Disease Response ◽  
Link Group

scholarly journals Population cluster data to assess the urban-rural split and electrification in Sub-Saharan Africa

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Babak Khavari ◽  
Alexandros Korkovelos ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Francesco Fuso Nerini
Keyword(s):  
World Bank ◽  
Population Distribution ◽  
Population Data ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Middle Income ◽  
Disease Response ◽  
The World Bank ◽  
The World ◽  
Urban Rural

AbstractHuman settlements are usually nucleated around manmade central points or distinctive natural features, forming clusters that vary in shape and size. However, population distribution in geo-sciences is often represented in the form of pixelated rasters. Rasters indicate population density at predefined spatial resolutions, but are unable to capture the actual shape or size of settlements. Here we suggest a methodology that translates high-resolution raster population data into vector-based population clusters. We use open-source data and develop an open-access algorithm tailored for low and middle-income countries with data scarcity issues. Each cluster includes unique characteristics indicating population, electrification rate and urban-rural categorization. Results are validated against national electrification rates provided by the World Bank and data from selected Demographic and Health Surveys (DHS). We find that our modeled national electrification rates are consistent with the rates reported by the World Bank, while the modeled urban/rural classification has 88% accuracy. By delineating settlements, this dataset can complement existing raster population data in studies such as energy planning, urban planning and disease response.

scholarly journals Rabies in Our Neighbourhood: Preparedness for an Emerging Infectious Disease

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 375
Author(s):  
Michael P. Ward ◽  
Victoria J. Brookes
Keyword(s):  
Infectious Disease ◽  
Southeast Asia ◽  
Field Studies ◽  
Emerging Infectious Disease ◽  
Disease Response ◽  
Canine Rabies ◽  
Research Activities ◽  
Potential Reservoir ◽  
Modelling Studies ◽  
Sociological Studies

Emerging infectious disease (EID) events have the potential to cause devastating impacts on human, animal and environmental health. A range of tools exist which can be applied to address EID event detection, preparedness and response. Here we use a case study of rabies in Southeast Asia and Oceania to illustrate, via nearly a decade of research activities, how such tools can be systematically integrated into a framework for EID preparedness. During the past three decades, canine rabies has spread to previously free areas of Southeast Asia, threatening the rabies-free status of countries such as Timor Leste, Papua New Guinea and Australia. The program of research to address rabies preparedness in the Oceanic region has included scanning and surveillance to define the emerging nature of canine rabies within the Southeast Asia region; field studies to collect information on potential reservoir species, their distribution and behaviour; participatory and sociological studies to identify priorities for disease response; and targeted risk assessment and disease modelling studies. Lessons learnt include the need to develop methods to collect data in remote regions, and the need to continuously evaluate and update requirements for preparedness in response to evolving drivers of emerging infectious disease.

scholarly journals Evaluation of a Novel Molecular Marker Associated with the Tan Spot Disease Response in Wheat

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 513
Author(s):  
Pao Theen See ◽  
Caroline S. Moffat
Keyword(s):  
Molecular Marker ◽  
Hexaploid Wheat ◽  
Wheat Breeding ◽  
Tan Spot ◽  
Growth Stages ◽  
Disease Score ◽  
Wheat Varieties ◽  
Disease Response ◽  
Spot Disease ◽  
Tan Spot Disease

After nearly 40 years of DNA molecular marker development in plant breeding, the wheat research community has amassed an extensive collection of molecular markers which have been widely and successfully used for selection of agronomic, physiological and disease resistance traits in wheat breeding programs. Tan spot is a major fungal disease of wheat and a significant global economic challenge and is caused by the necrotrophic fungal pathogen Pyrenophora tritici-repentis (Ptr). Here, the potential for using a PCR-based marker (Ta1AS3422) present on the short arm of wheat chromosome 1A, was evaluated for effectiveness in distinguishing tan spot disease susceptibility. The marker was initially screened against 40 commercial Australian hexaploid wheat varieties, and those that amplified the marker had an overall lower disease score (2.8 ± 0.7 for seedlings and 2.4 ± 0.4 for plants at the tillering stage), compared to those lacking the marker which exhibited a higher disease score (3.6 ± 0.8 for both growth stages). The potential of Ta1AS3422 as a marker for the tan spot disease response was further assessed against a panel of 100 commercial Australian hexaploid wheat varieties. A significant association was observed between marker absence/presence and tan spot disease rating (Pearson’s chi-squared test, χ2 (6) = 20.53, p = 0.002), with absence of Ta1AS3422 associated with susceptibility. This simple and cost-effective PCR-based marker may be useful for varietal improvement against tan spot, although further work is required to validate its effectiveness.

scholarly journals INNV-17. NEXT GENERATION SEQUENCING IMPACTS OUTCOMES IN RECURRENT PRIMARY GLIOBLASTOMA: A SINGLE-CENTER RETROSPECTIVE ANALYSIS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii120-ii120
Author(s):  
Daniel Zeitouni ◽  
Michael Catalino ◽  
Jordan Wise ◽  
Kathryn Pietrosimone ◽  
Sean McCabe ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Cox Model ◽  
Objective Response ◽  
Complete Response ◽  
High Rate ◽  
Next Generation ◽  
Disease Response ◽  
Primary Glioblastoma ◽  
Generation Sequencing ◽  
Recurrent Gbm

Abstract BACKGROUND GBM is driven by various genomic alterations. Next generation sequencing (NGS) may reveal targetable alterations. The goal of this study was to describe how NGS can inform targeted therapy (TT) selection. METHODS The medical records of patients (pts) with GBM from 2017–2019 were reviewed. Pts with actionable mutations were included in the analysis. At first progression (PD1), two cohorts of pts were defined: cohort A received TT, while cohort B received physician’s choice chemotherapy (PCC). Regression analyses were used to determine OS and PFS between cohorts. A stratified cox model was utilized to assess the effect of TT, where KPS level (low vs high) was utilized as a stratification factor. A heat map was generated describing the landscape of mutations. Disease response in cohort A was graded per RANO criteria. RESULTS There were 38 GBM pts with actionable alterations. Cohort A had 15 (39%) pts and cohort B had 23 (61%) pts. Of the 26 common alterations, 11 (42%) were deemed actionable. Pts with higher KPS were more likely to receive TT. Pts with a KPS ≥ 70 had a longer PFS while on TT. Although not well powered, pts in cohort A had a longer median OS relative to cohort B (HR 0.37 CI 0.10–1.38). The objective response rate (ORR) was 93%, with afatinib and cabozantinib resulting in complete response, one pt had progressive disease while on TT. CONCLUSION NGS for recurrent GBM yields a high rate of actionable alterations. Pts that go on TT are often younger and with higher KPS. This likely plays into their improved survival; however, it is notable that the high ORR reflects the value of NGS in deciding on TT to match alterations that are likely to respond. In conclusion, patient selection and availability of NGS impacts outcomes in recurrent GBM.

scholarly journals IMMU-03. UPDATES ON BRAINCHILD-01, -02, AND -03: PHASE 1 LOCOREGIONAL CAR T CELL TRIALS TARGETING HER2, EGFR, AND B7-H3 FOR CHILDREN WITH RECURRENT CNS TUMORS AND DIPG

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii360-iii360
Author(s):  
Nicholas Vitanza ◽  
Juliane Gust ◽  
Ashley Wilson ◽  
Wenjun Huang ◽  
Francisco Perez ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Phase 1 ◽  
Signs And Symptoms ◽  
Preliminary Evidence ◽  
Cns Tumors ◽  
Disease Response ◽  
Car T Cells ◽  
Car T Cell ◽  
Car T

Abstract We report preliminary results of three Phase 1 trials of repetitively dosed locoregional CAR T cells for children with recurrent/refractory CNS tumors, targeting HER2 (BrainChild-01), EGFR (BrainChild-02), and B7-H3 (BrainChild-03). Cells are delivered into the tumor cavity (Arm A) or ventricular system (Arm B and BrainChild-03’s DIPG-specific Arm C). Primary endpoints are feasibility and safety. Successful CAR T cell manufacture occurred in 2/2 subjects (BrainChild-01) and 2/3 (BrainChild-02). All subjects tolerated intra-patient dose escalation from 1x107 to 2.5x107 cells/dose without DLTs. Two subjects were evaluable on BrainChild-01 (S-001: glioblastoma, Arm A, survival 173 days post-first infusion, received 6 infusions; S-002: ependymoma, Arm B, survival 111 days, 9 infusions). One subject was evaluable on BrainChild-02 (glioblastoma, Arm A, withdrew from trial at 49 days, 5 infusions). One enrolled patient on BrainChild-03 has not begun treatment. None of the subjects developed new neurologic toxicities, although transient worsening of baseline tumor-related signs and symptoms were seen. Secondary endpoints are efficacy and disease response. No objective radiographic responses have been observed. Both BrainChild-01 subjects had transient systemic CRP elevations following infusions (S-001: peak of 3.9 post Course 1 Week 1; S-002: peak of 2.3 post Course 2 Week 1), possibly indicating an inflammatory response. Both subjects had post-infusion CSF cytokine elevations (CXCL10, GCSF, GM-CSF, IFNa2, IFNg, IL-10, IL12-p40, IL12-p70, IL-15, IL-1a, IL-3, IL-6, IL-7, TNFa, VEGF) without concurrent systemic changes. In summary, we provide preliminary evidence of safety and feasibility of intracranial delivery of CAR T cells for pediatric CNS tumors.

Pattern Recognition in Musculoskeletal Imaging Using Artificial Intelligence

2020 ◽  
Vol 24 (01) ◽  
pp. 38-49 ◽  
Author(s):  
Natalia Gorelik ◽  
Jaron Chong ◽  
Dana J. Lin
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Bone Tumors ◽  
Image Interpretation ◽  
Bone Age ◽  
Musculoskeletal Imaging ◽  
Radiology Workflow ◽  
Disease Response ◽  
Osseous Metastases ◽  
Applications Of Ai

AbstractArtificial intelligence (AI) has the potential to affect every step of the radiology workflow, but the AI application that has received the most press in recent years is image interpretation, with numerous articles describing how AI can help detect and characterize abnormalities as well as monitor disease response. Many AI-based image interpretation tasks for musculoskeletal (MSK) pathologies have been studied, including the diagnosis of bone tumors, detection of osseous metastases, assessment of bone age, identification of fractures, and detection and grading of osteoarthritis. This article explores the applications of AI for image interpretation of MSK pathologies.

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