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- 2019
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Journal article (peer-reviewed)
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- Huq, Nafisa Lira, et al.
(author)
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Community-based integrated intervention for skilled maternal health care utilization in riverine remote areas, Bangladesh
- 2023
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In: Sexual & Reproductive HealthCare. - : Elsevier. - 1877-5756 .- 1877-5764. ; 37
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Journal article (peer-reviewed)abstract
- Introduction: Despite the decrease in maternal mortality ratio, many women in Bangladesh are still at high-risk of death due to pregnancy-related morbidities. Increasing the rate of skilled maternal healthcare service utilization is effective to reduce maternal mortality rate. This paper examines the intervention effect of an integrated community-based maternal healthcare project implemented by a non-government organization, Friendship, aiming to provide maternal health services to women living in the remote riverine regions of Bangladesh.Methods: We examined the skilled maternal healthcare service utilization before and after project implementation of the mothers with birth experience of 0-6 months from the intervention (N =1,304) and comparison areas (N = 1,304). A difference-in-differences logistic model measured the effect of the intervention.Results: After the intervention, mothers were three times more likely to receive & GE; 4 ANC visits from skilled providers (AOR: 2.9; 95 % CI: 2.1-4.2), 1.5 times more likely to have skilled birth attendants during deliveries (AOR: 1.5; 95 % CI: 1.1-2.1) and 1.5 times more likely to seek at least one PNC within 42 days after delivery (AOR: 1.5; 95 % CI: 1.1-2.2) as compared to the comparison group.Conclusion: The intervention showed positive effect on improving the ANC coverage, skilled delivery, and PNC among the mothers residing the remote riverine areas. Therefore, it opens up the opportunity for adaptation of such integrated community and facility-based interventions by other LMICs.
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- Hurley, Carolyn K., et al.
(author)
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Common, intermediate and well-documented HLA alleles in world populations : CIWD version 3.0.0
- 2020
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In: HLA. - : WILEY. - 2059-2302 .- 2059-2310. ; 95:6, s. 516-531
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Journal article (peer-reviewed)abstract
- A catalog of common, intermediate and well-documented (CIWD) HLA-A, -B, -C, -DRB1, -DRB3, -DRB4, -DRB5, -DQB1 and -DPB1 alleles has been compiled from over 8 million individuals using data from 20 unrelated hematopoietic stem cell volunteer donor registries. Individuals are divided into seven geographic/ancestral/ethnic groups and data are summarized for each group and for the total population. P (two-field) and G group assignments are divided into one of four frequency categories: common (>= 1 in 10 000), intermediate (>= 1 in 100 000), well-documented (>= 5 occurrences) or not-CIWD. Overall 26% of alleles in IPD-IMGT/HLA version 3.31.0 at P group resolution fall into the three CIWD categories. The two-field catalog includes 18% (n = 545) common, 17% (n = 513) intermediate, and 65% (n = 1997) well-documented alleles. Full-field allele frequency data are provided but are limited in value by the variations in resolution used by the registries. A recommended CIWD list is based on the most frequent category in the total or any of the seven geographic/ancestral/ethnic groups. Data are also provided so users can compile a catalog specific to the population groups that they serve. Comparisons are made to three previous CWD reports representing more limited population groups. This catalog, CIWD version 3.0.0, is a step closer to the collection of global HLA frequencies and to a clearer view of HLA diversity in the human population as a whole.
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- Stathis, Dimitrios, 1989-, et al.
(author)
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Approximate Computing Applied to Bacterial Genome Identification using Self-Organizing Maps
- 2019
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In: 2019 IEEE Computer Society Annual Symposium On VLSI (ISVLSI 2019). - : IEEE. - 9781728133911 ; , s. 562-569
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Conference paper (peer-reviewed)abstract
- In this paper we explore the design space of a self-organizing map (SOM) used for rapid and accurate identification of bacterial genomes. This is an important health care problem because even in Europe, 70% of prescriptions for antibiotics is wrong. The SOM is trained on Next Generation Sequencing (NGS) data and is able to identify the exact strain of bacteria. This is in contrast to conventional methods that require genome assembly to identify the bacterial strain. SOM has been implemented as an synchoros VLSI design and shown to have 3-4 orders better computational efficiency compared to GPUs. To further lower the energy consumption, we exploit the robustness of SOM by successively lowering the resolution to gain further improvements in efficiency and lower the implementation cost without substantially sacrificing the accuracy. We do an in depth analysis of the reduction in resolution vs. loss in accuracy as the basis for designing a system with the lowest cost and acceptable accuracy using NGS data from samples containing multiple bacteria from the labs of one of the co-authors. The objective of this method is to design a bacterial recognition system for battery operated clinical use where the area, power and performance are of critical importance. We demonstrate that with 39% loss in accuracy in 12 hits and 1% in 16 bit representation can yield significant savings in energy and area.
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- Vianello, Eleonora, et al.
(author)
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Global blood miRNA profiling unravels early signatures of immunogenicity of Ebola vaccine rVSVΔG-ZEBOV-GP
- 2023
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In: iScience. - 2589-0042. ; 26:12
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Journal article (peer-reviewed)abstract
- The vectored Ebola vaccine rVSVΔG-ZEBOV-GP elicits protection against Ebola Virus Disease (EVD). In a study of forty-eight healthy adult volunteers who received either the rVSVΔG-ZEBOV-GP vaccine or placebo, we profiled intracellular microRNAs (miRNAs) from whole blood cells (WB) and circulating miRNAs from serum-derived extracellular vesicles (EV) at baseline and longitudinally following vaccination. Further, we identified early miRNA signatures associated with ZEBOV-specific IgG antibody responses at baseline and up to one year post-vaccination, and pinpointed target mRNA transcripts and pathways correlated to miRNAs whose expression was altered after vaccination by using systems biology approaches. Several miRNAs were differentially expressed (DE) and miRNA signatures predicted high or low IgG ZEBOV-specific antibody levels with high classification performance. The top miRNA discriminators were WB-miR-6810, EV-miR-7151-3p, and EV-miR-4426. An eight-miRNA antibody predictive signature was associated with immune-related target mRNAs and pathways. These findings provide valuable insights into early blood biomarkers associated with rVSVΔG-ZEBOV-GP vaccine-induced IgG antibody responses.
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