Suchergebnisse

Objective: This study aimed to explore topics and sentiments using tweets from Ontario, Canada, during the second wave of the COVID-19 pandemic. Methods: Tweets were collected from December 5, 2020, to March 6, 2021, excluding non-individual accounts. Dates of vaccine-related events and policy changes were collected from public health units in Ontario. The daily number of COVID-19 cases was retrieved from the Ontario provincial government's public health database. Latent Dirichlet Allocation was used for unsupervised topic modelling. VADER was used to calculate daily and average sentiment compound scores for topics identified. Results: Vaccine, pandemic, business, lockdown, mask, and Ontario were six topics identified from the unsupervised topic modelling. The average sentiment compound score for each topic appeared to be slightly positive, yet the daily sentiment compound scores varied greatly between positive and negative emotions for each topic. Conclusion: Our study results have shown a slightly positive sentiment on average during the second wave of the COVID-19 pandemic in Ontario, along with six topics. Our research has also demonstrated a social listening approach to identify what the public sentiments and opinions are in a timely manner.

AbstractObjectiveTo investigate whether childcare support from grandparents and domestic helpers is associated with family well‐being in Singapore, with a focus on parent and child psychological well‐being as well as the quality of interactions and relationships within the family.BackgroundResearch on the implications of childcare support from maternal grandparents, paternal grandparents, and domestic helpers for family well‐being remains a gap in the literature. This involvement could enhance family well‐being through instrumental assistance and emotional encouragement in childcare. However, it could also create a negative emotional climate for families if the relationship of the mother with the grandparents or domestic helper is marked by conflict.MethodThis study used questionnaire data from 615 mother–child dyads from the birth cohort, Growing Up in Singapore Towards healthy Outcomes. The exposure variable was children's caregiving arrangements assessed at child ages 4.5 and 6 years, and the outcome variables were maternal well‐being, maternal parenting, and family functioning measured at concurrent assessments, and child well‐being assessed at age 10 years.ResultsChildcare support from maternal grandparents, but not from paternal grandparents or domestic helpers, showed concurrent associations with warmer parenting by mothers at child ages 4.5 and 6 years. Early childcare support from domestic helpers at child age 6 years predicted higher depressive symptoms in children at age 10 years.ConclusionOur findings suggest that childcare support from maternal grandparents, who are most likely to share a close bond and value system with mothers, could be most beneficial for families in Singapore.

As the field of cancer immunotherapy continues to advance at a fast pace, treatment approaches and drug development are evolving rapidly to maximize patient benefit. New agents are commonly evaluated for activity in patients who had previously received a programmed death receptor 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitor as standard of care or in an investigational study. However, because of the kinetics and patterns of response to PD-1/PD-L1 blockade, and the lack of consistency in the clinical definitions of resistance to therapy, the design of clinical trials of new agents and interpretation of results remains an important challenge. To address this unmet need, the Society for Immunotherapy of Cancer convened a multistakeholder taskforce—consisting of experts in cancer immunotherapy from academia, industry, and government—to generate consensus clinical definitions for resistance to PD-(L)1 inhibitors in three distinct scenarios: primary resistance, secondary resistance, and progression after treatment discontinuation. The taskforce generated consensus on several key issues such as the timeframes that delineate each type of resistance, the necessity for confirmatory scans, and identified caveats for each specific resistance classification. The goal of this effort is to provide guidance for clinical trial design and to support analyses of emerging molecular and cellular data surrounding mechanisms of resistance.

Janice E. Drew was supported by the Scottish Government's Rural and Environment Science and Analytical Services Division Copyright © 2015 The Authors. Published by Elsevier Ltd. All rights reserved. ; Peer reviewed ; Publisher PDF