The effectiveness of an internet-based support program on maternal self-efficacy, postpartum depression and social support for primiparous women during the COVID-19 pandemic: Randomized controlled trial.

Background: Many primiparous women usually encounter various parenting and mental health issues after childbirth. The effects of intervention based on internet platform on parenting and mental health outcomes for Chinese first-time mothers remain unknown during the COVID-19 pandemic. Therefore, our research aimed to evaluate the effectiveness of an internet-based support program (ISP) on maternal self-efficacy (MSE), postpartum depression (PPD) and social support for primiparous women amid the pandemic. Methods: A multicenter randomized controlled trial (RCT) was conducted. From May 2020 to March 2021, 242 primiparous women were recruited in the maternity wards of two hospitals in Shenzhen City, China and randomly assigned to the intervention group and the control group. Women in control group (n = 118) received the routine postpartum care, and women in intervention group (n = 118) accessed to the ISP intervention (expert education and peer support) and routine postpartum care. Intervention outcomes were measured at baseline before randomization (T0), post-intervention (T1), and three-month follow up (T2) through questionnaires. The chi-square (χ2), the independent sample t-test and the repeated measures multivariate analysis of covariance were performed, and the two-tailed p-value <0.05 was regarded as statistically significant. Results: In comparison with women in the control group, women in the intervention group had a significantly higher score of MSE at T1 (mean: 73.53, standard deviation [SD]: 6.21) and at T2 (mean: 72.90, SD: 6.73); and a lower score of PPD at T1(mean: 6.03, SD: 2.50) and T2 (mean: 5.70, SD: 2.23); and a higher score of social support at T1 (mean: 45.70, SD: 3.73), but no significant difference at T2 (mean: 42.90, SD: 3.29). Conclusions: The effect of ISP was evaluated to significantly increase the levels of MSE, social support, and to alleviate PPD symptoms for Chinese first-time mothers. As an effective and easily accessible intervention, ISP could become a significant source for health professionals to support primiparous women on parenting and mental health during the COVID-19 pandemic. Trial registration: The trial is registered at the Chinese Clinical Trials Registry (ChiCTR2000033154).

Three birds, one stone: Disinfecting and turning waste medical masks into valuable carbon dots for sodium hydrosulfite and Fe3+ detection enabled by a simple hydrothermal treatment.

Disposable medical masks are widely used to prevent respiratory infections due to their ability to block virus particles from entering the human body. The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of medical masks, leading to their widespread use around the world. However, a large number of disposable medical masks have been discarded, some carrying viruses, which have posed a grave threat to the environment and people's health, as well as wasting resources. In this study, a simple hydrothermal method was used for the disinfection of waste medical masks under high-temperature conditions as well as for their transformation into high-value-added carbon dots (CDs, a new type of carbon nanomaterial) with blue-emissive fluorescence, without high energy consumption or environmental pollution. Moreover, the mask-derived CDs (m-CDs) could not only be used as fluorescent probes for sensing sodium hydrosulfite (Na2S2O4), which is widely used in the food and textile industries but is seriously harmful to human health, but also be used for detecting Fe3+ which is harmful to the environment and human health due to its wide use in industries.

Exploring the Spatio-Temporal and Behavioural Variations in Taxi Travel Based on Big Data during the COVID-19 Pandemic: A Case Study of New York City

The COVID-19 pandemic has caused severe social and economic chaos worldwide. To explore the impact of the COVID-19 pandemic on the travel patterns of residents, we analysed taxi trajectory data and COVID-19 pandemic data from New York City. Pearson coefficients, which were −0.7139, −0.8041, and −0.7046 during the three waves of the COVID-19, revealed a significant negative correlation between confirmed cases and taxi trips. Moran's I was higher in drop-off areas than in pick-up areas, indicating a stronger spatial autocorrelation in drop-off areas during the study period. The hotspots of travel destinations had changed by spatial clustering, and variations in origin–destination distribution were obvious after the pandemic. Comparison of temporal and spatial dimensions before and after the pandemic revealed that strict epidemic policies directly affected travel. For instance, a week after the restrictions the taxi journeys plummeted by 95.3%, and their spatial and temporal patterns also changed. Once the anti-epidemic policy was eased or lifted, the taxi travel recovered, whereas, notably the new Omicron wave did not cause dramatic changes in taxi journeys. Despite this, travel spatial and temporal patterns did not return to pre-pandemic levels by the end of March 2022, the taxi journeys remained below half the pre-pandemic level. This study identified the profound impact of the COVID-19 outbreak on travel patterns and revealed distinct variations in behavioural responses during the pandemic and in response to subsequent policies. Strengthening targeted epidemic prevention and control measures are required to improve the balance between anti-epidemic policies and implementation efforts, that will facilitate the recovery of urban transport, work, and lifestyle of residents.

CRISPR/Cas12a-based technology: A powerful tool for biosensing in food safety.

BACKGROUND: In the context of the current pandemic caused by the novel coronavirus, molecular detection is not limited to the clinical laboratory, but also faces the challenge of the complex and variable real-time detection fields. A series of novel coronavirus events were detected in the process of food cold chain packaging and transportation, making the application of molecular diagnosis in food processing, packaging, transportation, and other links urgent. There is an urgent need for a rapid detection technology that can adapt to the diversity and complexity of food safety. SCOPE AND APPROACH: This review introduces a new molecular diagnostic technology-biosensor analysis technology based on CRISPR-Cas12a. Systematic clarification of its development process and detection principles. It summarizes and systematically organizes its applications in viruses, food-borne pathogenic bacteria, small molecule detection, etc. In the past four years, which provides a brand-new and comprehensive solution for food detection. Finally, this article puts forward the challenges and the prospects for food safety. KEY FINDINGS AND CONCLUSIONS: The novel coronavirus hazards infiltrated every step of the food industry, from processing to packaging to transportation. The biosensor analytical technology based on CRISPR-Cas12a has great potential in the qualitative and quantitative analysis of infectious pathogens. CRISPR-Cas12a can effectively identify the presence of the specific nucleic acid targets and the small changes in sequences, which is particularly important for nucleic acid identification and pathogen detection. In addition, the CRISPR-Cas12a method can be adjusted and reconfigured within days to detect other viruses, providing equipment for nucleic acid diagnostics in the field of food safety. The future work will focus on the development of portable microfluidic devices for multiple detection. Shao et al. employed physical separation methods to separate Cas proteins in different microfluidic channels to achieve multiple detection, and each channel simultaneously detected different targets by adding crRNA with different spacer sequences. Although CRISPR-Cas12a technology has outstanding advantages in detection, there are several technical barriers in the transformation from emerging technologies to practical applications. The newly developed CRISPR-Cas12a-based applications and methods promote the development of numerous diagnostic and detection solutions, and have great potential in medical diagnosis, environmental monitoring, and especially food detection.