The Role of the Brexit Referendum and the COVID-19 Pandemic in the Changing Patterns of Hungarian Migration to the United Kingdom

COVID-19 Special Collection

Epidemiologic Changes Caused by the Preventive Measures for the Coronavirus Disease 2019 Pandemic: An Additional Challenge for Pediatricians

The COVID-19 pandemic has greatly affected internal migration patterns and may last beyond the pandemic. It raises the need to monitor the migration in an economical, effective and timely way. Benefitting from the advancement of geolocation data collection techniques, we used near real-time and fine-grained Twitter data to monitor migration patterns during the COVID-19 pandemic, dated from January 2019 to December 2021. Based on geocoding and estimating home locations, we proposed five indices depicting migration patterns, which are demonstrated by applying an empirical study at national and local authority scales to the UK. Our findings point to complex social processes unfolding differently over space and time. In particular, the pandemic and lockdown policies significantly reduced the rate of migration. Furthermore, we found a trend of people moving out of large cities to the nearby rural areas, and also conjunctive cities if there is one, before and during the peak of the pandemic. The trend of moving to rural areas became more significant in 2020 and most people who moved out had not returned by the end of 2021, although large cities recovered more quickly than other regions. Our results of monthly migration matrixes are validated to be consistent with official migration flow data released by the Office for National Statistics, but have finer temporal granularity and can be updated more frequently. This study demonstrates that Twitter data is highly valuable for migration trend analysis despite the biases in population representation.

Connecting Through Technology During the Coronavirus Disease 2019 Pandemic: Avoiding "Zoom Fatigue".

Virtual Clinics for Diabetes Care.

The expectation of a mass movement out of cities due to the rise of remote work associated with the Covid-19 pandemic, is counter to longstanding theories of the benefits of agglomeration economies. It suggests centrifugal shifts of economic activity which could boost neighbourhood economies at the expense of the downtown core. Using mobile phone data from SafeGraph, we track migration and daily mobility patterns throughout the New York metropolitan area between July 2019 and June 2021. We find that diverse suburban centres and exurban areas have bounced back more quickly than the dense specialised commercial districts in and around Manhattan.

Implementing Real-Time Data Suicide Surveillance Systems.

Teledermatology for medical education in the COVID-19 pandemic context: A systematic review

We examine how broad changes in work arrangements and lifestyles brought on by the COVID-19 pandemic have affected households’ location decisions. Using data on over 360,000 residential, interstate moves over the last 5 years, we find that more than 12% of moves were directly influenced by the pandemic. Among pandemic-influenced movers, over 15% of households cite that remote work influenced their move. Lifestyle-related (job-related) migration increased (decreased) significantly, particularly for the set of households who are likely to have access to remote work. We further find that these changes in migration patterns are positively related to post-pandemic economic growth.

Author(s): Gaynor, Kaitlyn M; Brashares, Justin S; Gregory, Gillian H; Kurz, David J; Seto, Katherine L; Withey, Lauren S; Fiorella, Kathryn J

Editor's evaluation: Investigating the relationship of COVID-19 related stress and media consumption with schizotypy, depression, and anxiety in cross-sectional surveys repeated throughout the pandemic in Germany and the UK

Decision letter: Investigating the relationship of COVID-19 related stress and media consumption with schizotypy, depression, and anxiety in cross-sectional surveys repeated throughout the pandemic in Germany and the UK

This article examines the changing migratory and mobility patterns of Ghanaian youth during the covid-19 pandemic using mixed methods research design. The study reveals that the patterns of migration, mobility and labor market security of the Ghanaian youth were adversely affected by the covid-19 pandemic. The study highlighted that due to the covid-19 pandemic, some Ghanaian youth were not able to attend job or promotion interviews, secure jobs and other socio-economic events, and the restricted movements had negative impacts on their labor market participation and economic wellbeing. In view of these, the study recommends, but not exclusively that, special fund be established under the Ministry of Education to build the technical competences of the youth through further education and training against labour market insecurity in future pandemic.

SummaryBackgroundAntimicrobial resistance (AMR) is a critical global health concern. A previous systematic review showed that migrants in Europe are at increased risk of AMR. Since the COVID-19 pandemic there have been rapid changes in patterns of antibiotic use, AMR, and migration. We aimed to present an updated evidence synthesis on the current distribution of AMR among migrants in Europe.MethodsWe carried out a systematic review and meta-analysis in accordance with PRISMA guidelines (PROSPERO ID: CRD42022343263). We searched databases (MEDLINE, Embase, PubMed and Scopus) from 18 January 2017 until 18 January 2023 to identify primary data from observational studies reporting any laboratory-confirmed AMR among migrants in the European Economic Area (EEA) and European Union-15 (EU-15) countries using over 7 key search terms for migrants and over 70 terms for AMR and countries in Europe. Outcomes were infection with, or colonisation of AMR bacteria. Methodological quality was assessed using Joanna Briggs Institute Critical Appraisal Checklist for Observational Studies. We meta-analysed the pooled-prevalence of infection and/or colonisation of AMR organisms.FindingsAmong 630 articles, 21 observational studies met the inclusion criteria and were included in this review. The pooled prevalence for any detected AMR was 28.0% (95% CI 18.0%–41.0%, I2 = 100%) compared to a 25.4% seen in the previous review; gram-negative bacteria 31.0% (95% CI 20.0%–44.0%, I2 = 100%), and methicillin-resistant staphylococcus aureus 10.0% (95% CI 5.0%–16.0%, I2 = 99%). Drug-resistant bacteria were more prevalent in community settings in large migrant populations (pooled prevalence: 41.0%, 95% CI 24.0%–60.0%, I2 = 99%) than in hospitals (21.0%, 95% CI 12.0%–32.0%, I2 = 99%). AMR estimates in ‘other’ migrants were 32.0%, (95% CI 12.0%–57.0%, I2 = 100%) and 28.0% (95% CI 18.0%–38.0%, I2 = 100%) in forced migrants. No firm evidence of AMR acquisition with arrival time or length of stay in the host country was found.InterpretationStudies investigating AMR in migrants are highly heterogenous. However, since the COVID-19 pandemic, migrants may be at higher risk of acquiring resistant bacteria, particularly gram-negative bacteria, within community settings such as refugee camps and detention centres in Europe. Our study highlights the importance of infrastructure and hygiene measures within these settings, to mitigate transmission of resistant pathogens. Policy-makers should screen for AMR in migrants prior to departure from countries of origin, where feasible, and upon arrival to a new country to ensure optimal health screening, infection control and effective treatment.FundingThere was no funding source for this study.

Decision letter: COVID-19 as a catalyst for reimagining cervical cancer prevention