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Sustainable regional development from the perspective of economic resilience: Based on the impact of COVID-19.
PLoS One
January 2025
School of Business, Anyang Normal University, Anyang, China.
The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics.
View Article and Find Full Text PDFImpact of the COVID-19 pandemic on the mental health of Nursing students: A systematic review and meta-analysis.
Medicine (Baltimore)
January 2025
Centro Universitario de Enfermería Cruz Roja, University of Seville, Seville, Spain.
Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.
Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.
Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.
The influence of environmental factors on the detection and quantification of SARS-CoV-2 variants in dormitory wastewater at a primarily undergraduate institution.
Microbiol Spectr
January 2025
Department of Biology, Appalachian State University, Boone, North Carolina, USA.
Unlabelled: Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been crucial in tracking disease spread and informing public health decisions. Wastewater-based epidemiology has helped to alleviate some of the strain of testing through broader, population-level surveillance, and has been applied widely on college campuses. However, questions remain about the impact of various sampling methods, target types, environmental factors, and infrastructure variables on SARS-CoV-2 detection.
View Article and Find Full Text PDFStrategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study.
JMIR Public Health Surveill
January 2025
School of Public Health, Imperial College London, London, United Kingdom.
Background: High response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings.
Objective: We tested different strategies to improve response rate and reduce nonresponse bias in a national population-based COVID-19 surveillance program in England, United Kingdom.
Methods: Over 19 rounds, a random sample of individuals aged 5 years and older from the general population in England were invited by mail to complete a web-based questionnaire and return a swab for SARS-CoV-2 testing.
Reevaluating Mask Effectiveness: Insights From Evidence-Based Medicine and Clinical Trials.
Cureus
December 2024
Microbiology, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, BRA.
During the COVID-19 pandemic, masks were widely promoted and mandated as a key measure to help reduce the transmission of SARS-CoV-2. These policies were primarily informed by laboratory evidence demonstrating the effectiveness of particle filtration, alongside observational studies. While several meta-analyses have indicated that masks may contribute to reducing viral transmission, many of these analyses rely heavily on observational data.
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